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          "en" => "<p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Scatterplots illustrating the association between uCTX-II with WOMAC pain score &#40;A&#41;&#44; WOMAC physical function score &#40;B&#41;&#44; and 40<span class="elsevierStyleHsp" style=""></span>m walk test &#40;C&#41;&#46;</p>"
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Introduction</span><p id="par0020" class="elsevierStylePara elsevierViewall">Knee osteoarthritis &#40;OA&#41; is one of the most prevalent diseases in the world&#44;<a class="elsevierStyleCrossRef" href="#bib0350"><span class="elsevierStyleSup">1</span></a> characterized by the degradation of articular cartilage&#46; Cartilage degradation is a consequence of the loss of the normal balance between the synthesis and degradation activity of the chondrocytes&#46;<a class="elsevierStyleCrossRef" href="#bib0355"><span class="elsevierStyleSup">2</span></a> The degradation is considered to be a result of mechanical and biological alterations&#46;<a class="elsevierStyleCrossRefs" href="#bib0360"><span class="elsevierStyleSup">3&#8211;5</span></a> For this reason&#44; studies have investigated how these changes relate to OA symptoms and whether they can predict knee OA onset and progression&#46;<a class="elsevierStyleCrossRefs" href="#bib0375"><span class="elsevierStyleSup">6&#8211;8</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">The unbalanced activity of the chondrocytes and consequent breakdown of articular cartilage can be caused by abnormal or excessive loading in the joint&#46;<a class="elsevierStyleCrossRefs" href="#bib0390"><span class="elsevierStyleSup">9&#8211;11</span></a> Knee adduction moment &#40;KAM&#41; has been used to measure the distribution of load between medial and lateral compartments of the knee&#44;<a class="elsevierStyleCrossRefs" href="#bib0405"><span class="elsevierStyleSup">12&#8211;15</span></a> more specifically excessive medial compartment loading as this is the most commonly affected compartment&#46;<a class="elsevierStyleCrossRef" href="#bib0390"><span class="elsevierStyleSup">9</span></a> KAM has been associated with pain&#44;<a class="elsevierStyleCrossRefs" href="#bib0425"><span class="elsevierStyleSup">16&#44;17</span></a> OA severity&#44;<a class="elsevierStyleCrossRefs" href="#bib0370"><span class="elsevierStyleSup">5&#44;18</span></a> and progression of the disease&#46;<a class="elsevierStyleCrossRefs" href="#bib0385"><span class="elsevierStyleSup">8&#44;19</span></a> Knee adduction angular impulse &#40;KAAI&#41;&#44; which is the time integral of the KAM curve during stance&#44; has also been used to measure knee load through a combination of the duration and amplitude of KAM&#46;<a class="elsevierStyleCrossRef" href="#bib0435"><span class="elsevierStyleSup">18</span></a> KAAI is also associated with the presence&#44;<a class="elsevierStyleCrossRef" href="#bib0380"><span class="elsevierStyleSup">7</span></a> severity&#44;<a class="elsevierStyleCrossRef" href="#bib0435"><span class="elsevierStyleSup">18</span></a> pain&#44; and disability<a class="elsevierStyleCrossRef" href="#bib0445"><span class="elsevierStyleSup">20</span></a> in knee OA&#46; More recently&#44; knee flexion moment &#40;KFM&#41; was proposed to improve the measurement of knee load&#44;<a class="elsevierStyleCrossRef" href="#bib0450"><span class="elsevierStyleSup">21</span></a> being associated with cartilage thickness in the early stages of the disease&#46;<a class="elsevierStyleCrossRef" href="#bib0455"><span class="elsevierStyleSup">22</span></a> A longitudinal study demonstrated that higher baseline KAM and KFM in individuals with medial knee OA were shown to be associated with reduced knee cartilage thickness at the five-year follow-up&#46;<a class="elsevierStyleCrossRef" href="#bib0365"><span class="elsevierStyleSup">4</span></a> Hence&#44; knee moment variables &#40;KAM&#44; KAAI&#44; and KFM&#41; may be considered appropriate measures of knee joint load&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">Some authors consider mechanical alterations responsible for the occurrence of biological alterations&#44; and consequent degradation of articular cartilage&#44; in most cases of knee OA&#46;<a class="elsevierStyleCrossRefs" href="#bib0370"><span class="elsevierStyleSup">5&#44;10&#44;11</span></a> The biological alterations of articular cartilage can be identified by biochemical markers&#44; also called biomarkers&#46;<a class="elsevierStyleCrossRef" href="#bib0460"><span class="elsevierStyleSup">23</span></a> Urinary C-tylopeptide type II collagen &#40;uCTX-II&#41; has been presented as one of the most important OA biomarkers to detect changes in cartilage&#46;<a class="elsevierStyleCrossRef" href="#bib0460"><span class="elsevierStyleSup">23</span></a> The uCTX-II level from a urine sample can measure the systemic concentration of type II collagen&#44; which is the most abundant protein of the cartilage matrix&#46;<a class="elsevierStyleCrossRefs" href="#bib0465"><span class="elsevierStyleSup">24&#44;25</span></a> According to BIPED &#40;Burden of disease&#44; Investigative&#44; Prognostic&#44; Efficacy of Intervention and Diagnostic&#41; criteria&#44;<a class="elsevierStyleCrossRef" href="#bib0475"><span class="elsevierStyleSup">26</span></a> uCTX-II has the ability to diagnose&#44; predict the progression&#44; and identify the severity of the disease&#44;<a class="elsevierStyleCrossRefs" href="#bib0355"><span class="elsevierStyleSup">2&#44;27&#8211;30</span></a> demonstrating also the ability to identify healthy individuals at high risk of developing knee OA&#46;<a class="elsevierStyleCrossRefs" href="#bib0495"><span class="elsevierStyleSup">30&#44;31</span></a></p><p id="par0035" class="elsevierStylePara elsevierViewall">Therefore&#44; both biological and mechanical alterations have been shown to be related to the onset or progression of knee OA&#44; however&#44; no clear association has been shown between these components in the current literature&#46; To our knowledge&#44; only one study has investigated the relationship between uCTX-II and knee loads&#44;<a class="elsevierStyleCrossRef" href="#bib0505"><span class="elsevierStyleSup">32</span></a> with the authors finding an association between uCTX-II level and KAM and KAAI during walking&#46; However&#44; this association became non-significant after adjusting for disease severity and walking speed&#46; In addition&#44; they did not investigate the association of uCTX-II with KFM nor with pain and physical function&#46; As KFM has been shown to be associated with cartilage thickness in the early stages of the disease&#44;<a class="elsevierStyleCrossRef" href="#bib0455"><span class="elsevierStyleSup">22</span></a> its addition could improve the understanding of the potential relationship between uCTX-II and knee joint load&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">Only a few studies have explored the relationship between biomarkers<a class="elsevierStyleCrossRef" href="#bib0510"><span class="elsevierStyleSup">33</span></a> and knee load&#44;<a class="elsevierStyleCrossRef" href="#bib0515"><span class="elsevierStyleSup">34</span></a> with pain and physical function&#46; As OA is a persistent condition&#44; current treatments target pain and physical function improvement&#47;maintenance&#46;<a class="elsevierStyleCrossRefs" href="#bib0360"><span class="elsevierStyleSup">3&#44;7&#44;19&#44;35&#44;36</span></a> Exploring how mechanical and biological alterations influence these parameters can bring new perspectives for pain and disability control and treatment strategies&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">Therefore&#44; the aim of this study was to investigate the association between uCTX-II&#44; knee joint moments &#40;KAM&#44; KFM&#44; and KAAI&#41;&#44; pain&#44; and physical function in individuals with medial knee OA&#46; We hypothesized that uCTX-II level is associated with pain&#44; physical function&#44; and knee joint moments &#40;KAM&#44; KFM&#44; and KAAI&#41;&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Design</span><p id="par0050" class="elsevierStylePara elsevierViewall">A cross-sectional design was used&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Sample size</span><p id="par0055" class="elsevierStylePara elsevierViewall">A priori sample size calculation was performed by using G&#42; Power 3&#46;1&#46; The calculation aimed to reach a statistical significance level of 0&#46;05&#44; power of 80&#37;&#44; and a medium effect size &#40;<span class="elsevierStyleItalic">d</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;5&#41;&#44; considering a correlation test and one tail&#46; Based on these parameters&#44; our sample size calculation estimated the need for at least 21 subjects&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Subjects</span><p id="par0060" class="elsevierStylePara elsevierViewall">Community-based volunteers were recruited through advertisements in local newspapers&#44; university websites&#44; and social media&#46; All volunteers underwent anteroposterior semiflexed weight-bearing&#44; lateral view&#44; and skyline view radiographs and were then classified according to the Kellgren and Lawrence &#40;KL&#41; criteria&#46;<a class="elsevierStyleCrossRef" href="#bib0530"><span class="elsevierStyleSup">37</span></a> As the medial knee compartment is the most commonly affected&#44;<a class="elsevierStyleCrossRef" href="#bib0535"><span class="elsevierStyleSup">38</span></a> only individuals with predominantly medial knee OA and medial knee pain were included&#46; Therefore&#44; potential participants were excluded if they presented KL grades in the lateral or patellofemoral compartment greater than the medial compartment&#46;<a class="elsevierStyleCrossRef" href="#bib0540"><span class="elsevierStyleSup">39</span></a> In addition&#44; potential participants were excluded for any of the following criteria&#58; body mass index &#40;BMI&#41; greater than 35<span class="elsevierStyleHsp" style=""></span>kg&#47;m<span class="elsevierStyleSup">2</span> to reduce soft tissue artifact of marker movement during quantitative gait analysis&#44; unable to walk unaided for at least 10<span class="elsevierStyleHsp" style=""></span>min&#44; history of hip or knee arthroplasty or osteotomy&#44; had undergone knee surgery or other nonpharmacological treatment in the 6 months prior to the study&#46;<a class="elsevierStyleCrossRef" href="#bib0545"><span class="elsevierStyleSup">40</span></a> For participants with bilateral knee OA&#44; the most symptomatic knee was evaluated&#46; All participants provided written informed consent and the present study was approved by the Ethics committee for Human Investigations at the Universidade Federal de S&#227;o Carlos &#40;UFSCar&#41;&#44; S&#227;o Carlos&#44; SP&#44; Brazil &#40;CAAE&#58; 41716015&#46;0&#46;0000&#46;5504&#41;&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Variables</span><p id="par0065" class="elsevierStylePara elsevierViewall">The dependent variable was uCTX-II level&#44; while independent variables were pain&#44; physical function&#44; and variables obtained from three-dimensional gait analysis&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Dependent variable</span><p id="par0070" class="elsevierStylePara elsevierViewall">The uCTX-II level was measured using fasting urine collected in the early morning &#40;within 2<span class="elsevierStyleHsp" style=""></span>h of waking&#41;&#44; second void&#44; and all samples were stored frozen at &#8722;80<span class="elsevierStyleHsp" style=""></span>&#176;C until analysis&#46; The uCTX-II level was determined using an enzyme linked immunosorbent assay &#40;ELISA&#41; based on a monoclonal antibody raised against a linear six amino acid epitope of human type II collagen C telopeptide &#40;Urine CartiLaps&#174;ELISA&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0465"><span class="elsevierStyleSup">24</span></a> The uCTX-II level was corrected with creatinine concentration &#40;mmol&#47;L&#41; in the sample using an enzymatic colorimetric routine method&#46;<a class="elsevierStyleCrossRef" href="#bib0550"><span class="elsevierStyleSup">41</span></a> For this correction we used the formula&#58; corrected CTX-II Value<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1000<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>Urine CartiLaps &#40;&#956;g&#47;L&#41;&#47;Creatinine &#40;mmol&#47;L&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0555"><span class="elsevierStyleSup">42</span></a> The intra- and inter-assay coefficients of variation are &#8804;7&#46;8&#37; and &#8804;12&#46;2&#37;&#44; respectively&#46;<a class="elsevierStyleCrossRef" href="#bib0555"><span class="elsevierStyleSup">42</span></a> All analyses were conducted in duplicate and blinded&#46;</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Independent variables</span><p id="par0075" class="elsevierStylePara elsevierViewall">Self-reported pain and physical function were measured using The Western Ontario and McMaster Universities Osteoarthritis Index &#40;WOMAC&#41;&#46; The WOMAC index is a disease-specific&#44; tri-dimensional&#44; self-administered questionnaire used to assess health status and health outcomes in individuals with knee OA&#46; The WOMAC contains 24 questions and consists of three subscales&#58; pain&#44; stiffness&#44; and physical function with five&#44; two&#44; and seventeen questions&#44; respectively&#46; Answers for each of the 24 questions are scored on a five-point Likert scales &#40;none<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44; slight<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#44; moderate<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>2&#44; severe<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>3&#44; extreme<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>4&#41; with total scores ranging from 0 to 96&#46; Higher scores indicate worse disease severity&#46; The WOMAC questionnaire is well recognized for its adequate validity&#44; reliability&#44; and responsiveness for individuals with knee OA&#46;<a class="elsevierStyleCrossRef" href="#bib0560"><span class="elsevierStyleSup">43</span></a> We used the Portuguese version of the WOMAC&#46;<a class="elsevierStyleCrossRef" href="#bib0565"><span class="elsevierStyleSup">44</span></a></p><p id="par0080" class="elsevierStylePara elsevierViewall">Objective physical function was measured using the 40<span class="elsevierStyleHsp" style=""></span>m walk test&#46; The 40<span class="elsevierStyleHsp" style=""></span>m walk test was developed to evaluate the ability to walk quickly over short distances&#44; which is an important activity for a good quality of life&#46; This activity is usually limited in individuals with knee OA&#46;<a class="elsevierStyleCrossRef" href="#bib0570"><span class="elsevierStyleSup">45</span></a> Two marks on the ground were placed 10<span class="elsevierStyleHsp" style=""></span>m apart and a cone was placed 2<span class="elsevierStyleHsp" style=""></span>m beyond each end of the 10<span class="elsevierStyleHsp" style=""></span>m walkway&#46; Participants&#44; wearing comfortable clothes and shoes&#44; were instructed to walk as fast as possible&#44; without running&#44; along the walkway between the two cones&#44; turn around the cone at the end&#44; return&#44; and repeat for a total of 40<span class="elsevierStyleHsp" style=""></span>m&#46; Participants were timed for this test and based on this time&#44; we calculated the speed as suggested by previous studies&#46;<a class="elsevierStyleCrossRefs" href="#bib0570"><span class="elsevierStyleSup">45&#8211;47</span></a> A previous study<a class="elsevierStyleCrossRef" href="#bib0585"><span class="elsevierStyleSup">48</span></a> found that intra-class correlation coefficient for inter-rater reliability was 0&#46;96 &#40;95&#37; CI 0&#46;93&#44; 0&#46;98&#41; and standard error of measurement was 0&#46;06 &#40;95&#37; CI 0&#46;05&#44; 0&#46;08&#41;&#46; The same study<a class="elsevierStyleCrossRef" href="#bib0585"><span class="elsevierStyleSup">48</span></a> found that intra-rater reliability was 0&#46;92 &#40;95&#37; CI 0&#46;82&#44; 0&#46;96&#41; and the SEM was 0&#46;07 &#40;95&#37; CI 0&#46;06&#44; 0&#46;09&#41;&#46;</p><p id="par0085" class="elsevierStylePara elsevierViewall">Three-dimensional gait analysis was performed to measure the KAAI and peak KAM and KFM&#46; Gait was evaluated using an eight-camera Qualisys Oqus 300 motion analysis system &#40;Qualisys&#44; Gothenburg&#44; Sweden&#41; and a force plate &#40;Bertec Corporation&#44; OH&#44; USA&#41; to record kinematic and kinetic data at sampling frequencies of 120 and 1200<span class="elsevierStyleHsp" style=""></span>Hz&#44; respectively&#46; Participants walked barefoot at a self-selected speed along an 8<span class="elsevierStyleHsp" style=""></span>m walkway&#46; For each subject&#44; a static calibration trial followed by five successful trials were collected for kinetic and kinematic analysis&#46; The following reflective markers were located on anatomical landmarks bilaterally<a class="elsevierStyleCrossRefs" href="#bib0590"><span class="elsevierStyleSup">49&#44;50</span></a>&#58; sternal notch&#44; spinous process of C7&#44; acromion&#44; iliac crests&#44; anterior and posterior superior iliac spines&#44; greater trochanters of the femur&#44; medial and lateral femoral epicondyles&#44; medial and lateral malleoli&#44; first&#44; second and fifth metatarsal heads&#44; base of the fifth metatarsal&#44; and calcaneus&#46; Four clusters built with 4 noncollinear markers were placed over the lateral side of thighs and shanks&#46; Two additional clusters built with 3 noncollinear markers were positioned on the spinous process of T4 and T12&#46; Markers on the medial and lateral malleoli&#44; femoral epicondyles&#44; C7&#44; greater trochanters&#44; and acromion were removed after the static standing calibration trial was performed&#46; These markers were used to construct the anatomical coordinate system for the trunk&#44; pelvis&#44; thigh&#44; shank&#44; and foot segments&#46;</p><p id="par0090" class="elsevierStylePara elsevierViewall">The ankle and knee joint centers were calculated as midpoints between the malleoli and femoral epicondyles&#44; respectively&#46;<a class="elsevierStyleCrossRef" href="#bib0600"><span class="elsevierStyleSup">51</span></a> The hip joint center was measured using the regression model based on the anterior and posterior superior iliac spine markers&#46;<a class="elsevierStyleCrossRef" href="#bib0605"><span class="elsevierStyleSup">52</span></a> The pelvic coordinate system was built from markers on the anterior and posterior superior iliac spines and then contralateral pelvic drop was measured using a laboratory coordinate system as the reference&#46; The trunk coordinate system was built from markers on the acromion and iliac crest &#40;bilaterally&#41; and the ipsilateral trunk lean was measured using a laboratory coordinate system as the reference&#46; For hip&#44; knee and ankle kinematics we used pelvis&#44; thigh&#44; and shank as local coordinate system respectively&#46; The angular motion of all assessed joints was defined using Cardan angles in accordance with the recommendations of the International Society of Biomechanics&#46;<a class="elsevierStyleCrossRefs" href="#bib0610"><span class="elsevierStyleSup">53&#44;54</span></a></p><p id="par0095" class="elsevierStylePara elsevierViewall">The kinetic and kinematic data were processed using Qualisys Track Manager &#40;Qualisys AB&#41; and Visual3D software &#40;C-motion Inc&#46;&#44; Rockville&#44; MD&#44; USA&#41;&#46; The kinetic and kinematic data were filtered using a fourth-order&#44; zero-lag&#44; low-pass Butterworth filter at cut-off frequencies of 6 and 25<span class="elsevierStyleHsp" style=""></span>Hz&#44; respectively&#46; Smoothing parameters were set by residual analysis and visual inspection of the processed kinematic and kinetic data&#46; The stance phase was determined using a force plate&#44; where the initial contact &#40;IC&#41; and toe-off &#40;TO&#41; were identified based on a force threshold of 20<span class="elsevierStyleHsp" style=""></span>N&#46;<a class="elsevierStyleCrossRef" href="#bib0620"><span class="elsevierStyleSup">55</span></a> The kinetic and kinematic data were normalized to 101 points&#46; KFM&#44; KAM&#44; and KAAI were calculated using three-dimensional inverse dynamics&#46;<a class="elsevierStyleCrossRefs" href="#bib0625"><span class="elsevierStyleSup">56&#44;57</span></a> KFM and KAM were normalized by the body mass and height &#40;&#37;Bw&#42;Ht&#41;&#44; while KAAI was normalized by the body mass&#44; height&#44; and time &#40;&#37;Bw&#42;Ht&#42;s&#41;&#46; The peak of each variable throughout the stance phase was used for analysis&#46;</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Statistical analyses</span><p id="par0100" class="elsevierStylePara elsevierViewall">All statistical analyses were performed using SPSS software &#40;Version 20&#44; SPSS Inc&#46;&#44; Chicago&#44; IL&#44; USA&#41;&#46; The normality of distribution of all variables was analyzed using the Shapiro&#8211;Wilk test&#46; As the data presented a normal distribution a Pearson&#39;s product-moment correlation coefficient were used to examine the relationship between uCTX-II level&#44; knee moments&#44; symptoms&#44; and physical function&#46; For all significant correlations &#40;uCTX-II with pain&#44; physical function&#44; and the 40<span class="elsevierStyleHsp" style=""></span>m walk test&#41; we processed a hierarchical linear regression&#46; Based on previous studies&#44; we controlled our analysis for OA severity &#40;mild or moderate according to the KL score&#41;<a class="elsevierStyleCrossRefs" href="#bib0470"><span class="elsevierStyleSup">25&#44;58</span></a> and BMI &#40;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&#44;<a class="elsevierStyleCrossRef" href="#bib0640"><span class="elsevierStyleSup">59</span></a> using these variables as the first step of the hierarchical linear regression&#46; The second step uCTX-II levels was added to the model&#44; which means that all changes in the results of regression analysis &#40;<span class="elsevierStyleItalic">R</span>&#44; <span class="elsevierStyleItalic">R</span><span class="elsevierStyleSup">2</span>&#44; &#916;<span class="elsevierStyleItalic">R</span><span class="elsevierStyleSup">2</span>&#44; and <span class="elsevierStyleItalic">p</span>-value&#41;&#44; from the first step to the second step&#44; were due to uCTX-II levels inclusion&#46; An alpha level of 0&#46;05 was set for all statistical tests&#46;</p></span></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Results</span><p id="par0105" class="elsevierStylePara elsevierViewall">A total of 40 potential participants presenting with knee pain were evaluated&#44; however&#44; 15 were excluded&#58; two had a positive test for an anterior cruciate ligament injury&#44; two had significant low back pain &#40;more pain in their back than knee&#41;&#44; two presented with hip pain&#44; and the other nine presented with other knee compartments as or more affected than the medial knee compartment &#40;7 for the patellofemoral joint and 2 for the lateral knee compartment&#41;&#46; Twenty-five subjects with knee OA were eligible for the study&#46; For diagnosis&#44; we considered the clinical&#44; radiographic&#44; and history criteria of the American College of Rheumatology&#46;<a class="elsevierStyleCrossRef" href="#bib0645"><span class="elsevierStyleSup">60</span></a> Group characteristics and descriptive values are presented in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46; A significant correlation between uCTX-II level and pain&#44; physical function&#44; 40<span class="elsevierStyleHsp" style=""></span>m walk test&#44; and gait speed was found &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> and <a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#41; while no significant correlation was found with the other measures&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0110" class="elsevierStylePara elsevierViewall">After controlling for severity and BMI through a hierarchical linear regression we found that severity and BMI explained 35&#37; of the variance of the WOMAC pain score&#44; while uCTX-II level explained an additional 9&#37; of this variance &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#41;&#46; In addition&#44; severity and BMI explained 39&#37; of the variance in the 40<span class="elsevierStyleHsp" style=""></span>m walk test&#44; while uCTX-II level explained an additional 7&#37; of this variance &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#41;&#46; Finally&#44; uCTX-II level explained 27&#37; of the variance in the WOMAC Physical Function Score &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Discussion</span><p id="par0115" class="elsevierStylePara elsevierViewall">This cross-sectional study provides evidence that uCTX-II level is positively associated with pain &#40;<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;49&#41; and physical function &#40;<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;53&#41;&#44; but negatively associated with the 40<span class="elsevierStyleHsp" style=""></span>m walk test &#40;<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>&#8722;0&#46;48&#41;&#44; even after controlling for OA severity and BMI&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">One objective of this study was to investigate the association between uCTX-II level and knee joint moments&#46; Although these variables are related to the onset and progression of the disease&#44; our study could not confirm this association&#46; An earlier study<a class="elsevierStyleCrossRef" href="#bib0505"><span class="elsevierStyleSup">32</span></a> has reported an association of uCTX-II level with KAM and KAAI&#44; however&#44; when disease severity and walking speed were controlled for in the analysis the association was no longer significant&#46; The present study investigated this relationship not only using the KAM and KAAI&#44; but also KFM as an important measure to improve the ability to measure the medial knee load&#46;<a class="elsevierStyleCrossRef" href="#bib0450"><span class="elsevierStyleSup">21</span></a> There are possible reasons why we did not find an association between uCTX-II and knee joint moments&#46; First&#44; although we used three parameters of medial knee load &#40;KAM&#44; KFM&#44; and KAAI&#41;&#44; they do not represent the total knee load&#46; However&#44; as we included subjects with predominantly medial KOA as it is the most commonly affected compartment&#44; the medial knee load was the focus of our analysis&#46; Second&#44; we measured the fasting level of uCTX-II through a sample of the second void of morning urine&#44; which means that our volunteers had limited physical effort in the hours prior to the sample collection&#46; This may have influenced our findings given that the biomarker response to a mechanical stimulus has been shown to be more sensitive to understand the relationship between cartilage metabolism and knee load than only resting levels&#46;<a class="elsevierStyleCrossRefs" href="#bib0650"><span class="elsevierStyleSup">61&#44;62</span></a> For this reason&#44; future studies should explore the stimulus-response approach to better understand the relationship between uCTX-II level and knee joint load&#46; Third&#44; although uCTX-II has been used to analyze individuals with knee OA&#44; perhaps uCTX-II level was not sensitive enough to correlate with medial knee load measures because of its systemic characteristics&#46; For this reason&#44; future studies may consider using synovial fluid from the knee to investigate this relationship&#44; as it would provide responses specifically from the cartilage of the knee&#46;</p><p id="par0125" class="elsevierStylePara elsevierViewall">The present study showed that uCTX-II level explained part of the variance in WOMAC pain score &#40;9&#37;&#41;&#44; WOMAC physical function score &#40;27&#37;&#41;&#44; and the 40<span class="elsevierStyleHsp" style=""></span>m walk test &#40;7&#37;&#41;&#46; In addition&#44; the influence of BMI and disease severity were controlled as both measures explained 35&#37; of the WOMAC pain score and 39&#37; of the variance in the 40<span class="elsevierStyleHsp" style=""></span>m walk test&#46; In contrast to these findings&#44; Garnero et al&#46;<a class="elsevierStyleCrossRef" href="#bib0510"><span class="elsevierStyleSup">33</span></a> found no correlation of uCTX-II levels with the WOMAC total score or subscales &#40;pain&#44; stiffness&#44; and physical function&#41;&#46; However&#44; Garnero&#39;s et al&#46;<a class="elsevierStyleCrossRef" href="#bib0510"><span class="elsevierStyleSup">33</span></a> study did not control the influence of BMI and disease severity which may have influenced their results&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall">Taking into account that uCTX-II levels represent cartilage destruction&#44; and considering that this is one of the factors influencing knee pain in individuals with knee OA&#44;<a class="elsevierStyleCrossRef" href="#bib0660"><span class="elsevierStyleSup">63</span></a> finding a variation of 9&#37; in WOMAC pain score assigned to the uCTX-II level is quite reasonable&#46; Although the present study cannot establish a causal relationship between uCTX-II level and pain&#44; the results are in agreement with previous studies that have verified that uCTX-II can be used to predict knee pain in patients with knee OA&#46;<a class="elsevierStyleCrossRefs" href="#bib0355"><span class="elsevierStyleSup">2&#44;27</span></a> In the same way&#44; uCTX-II predicted 27&#37; of the variance in WOMAC physical function score and 7&#37; in the 40<span class="elsevierStyleHsp" style=""></span>m walk test&#44; suggesting that the higher the level of uCTX-II&#44; the worse the self-reported physical function and the worse physical performance during a fast walk&#46; Considering that decreased physical function is related to pain&#44;<a class="elsevierStyleCrossRefs" href="#bib0665"><span class="elsevierStyleSup">64&#8211;66</span></a> and also increased uCTX-II level is related to increased pain&#44; a reduction in physical function&#44; as uCTX-II level increases&#44; could justify the presence of knee pain&#46; However&#44; as we did not measure pain during 40<span class="elsevierStyleHsp" style=""></span>m walk test&#44; it is not possible to use knee pain to explain our results&#46; Further investigation is necessary to clarify the mechanism of the influence of uCTX-II on pain and physical function in individuals with medial knee OA&#46; Moreover&#44; longitudinal studies would clarify the causal relationship between uCTX-II&#44; pain&#44; and physical function&#46;</p><p id="par0135" class="elsevierStylePara elsevierViewall">The present study has several limitations&#46; We did not control for the menstrual cycle of our female participants&#44; and postmenopausal women usually present high levels of uCTX-II&#46;<a class="elsevierStyleCrossRef" href="#bib0470"><span class="elsevierStyleSup">25</span></a> However&#44; as we used a correlation and regression analyses&#44; subjects were analyzed using their own data&#46; We also did not evaluate the level of physical activity&#44;<a class="elsevierStyleCrossRef" href="#bib0355"><span class="elsevierStyleSup">2</span></a> although it may have some influence in our findings&#44; our subjects had limited physical effort before the collection as urine samples were collected in the morning&#46; In addition&#44; considering that distinct levels of physical activity can result in different level of knee pain&#44;<a class="elsevierStyleCrossRef" href="#bib0680"><span class="elsevierStyleSup">67</span></a> we think that this information should be considered in future studies&#46; The small sample size in this study may have reduced statistical power and the ability to make conclusions&#46; Even with a small sample size&#44; it was possible to find some statistically significant results and to provide new information regarding the relationship between cartilage metabolism and mechanical joint load&#46; We also think that not measuring pain during 40<span class="elsevierStyleHsp" style=""></span>m walk test and during the kinematic&#47;kinetic gait assessment is a limitation&#44; as we understand that this information would help to discuss our findings and also would help to explain participants&#8217; performance in this functional test&#46; We only included subjects with a BMI<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>35<span class="elsevierStyleHsp" style=""></span>kg&#47;m<span class="elsevierStyleSup">2</span> to reduce skin movement artifacts during gait analysis&#46; Nonetheless&#44; given that many people with knee OA are overweight or obese&#44; these results can be partially generalized to individuals with knee OA&#46; In the same way&#44; as we included only subjects with predominantly medial knee OA&#44; although it is the most affected compartment of the knee&#44; our findings cannot be generalized to individuals with lateral and&#47;or patellofemoral knee OA&#46; Finally&#44; our sample performed barefoot walking for gait analysis&#44; we may have influenced our results as recent studies have shown reduced peak ground reaction forces during barefoot walking when compared to shod conditions&#46;<a class="elsevierStyleCrossRefs" href="#bib0685"><span class="elsevierStyleSup">68&#44;69</span></a></p><p id="par0140" class="elsevierStylePara elsevierViewall">In conclusion&#44; greater uCTX-II level is associated with higher pain and reduced physical function and 40<span class="elsevierStyleHsp" style=""></span>m walk test performance in individuals with medial knee OA&#46;</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Conflicts of interest</span><p id="par0145" class="elsevierStylePara elsevierViewall">The authors declare no conflicts of interest&#46;</p></span></span>"
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            5 => array:2 [
              "identificador" => "sec0040"
              "titulo" => "Independent variables"
            ]
            6 => array:2 [
              "identificador" => "sec0045"
              "titulo" => "Statistical analyses"
            ]
          ]
        ]
        5 => array:2 [
          "identificador" => "sec0050"
          "titulo" => "Results"
        ]
        6 => array:2 [
          "identificador" => "sec0055"
          "titulo" => "Discussion"
        ]
        7 => array:2 [
          "identificador" => "sec0060"
          "titulo" => "Conflicts of interest"
        ]
        8 => array:1 [
          "titulo" => "References"
        ]
      ]
    ]
    "pdfFichero" => "main.pdf"
    "tienePdf" => true
    "fechaRecibido" => "2019-03-22"
    "fechaAceptado" => "2020-02-14"
    "PalabrasClave" => array:1 [
      "en" => array:1 [
        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Keywords"
          "identificador" => "xpalclavsec1323218"
          "palabras" => array:5 [
            0 => "Physical therapy"
            1 => "Gait"
            2 => "Biomarkers"
            3 => "Walk test"
            4 => "Disability evaluation"
          ]
        ]
      ]
    ]
    "tieneResumen" => true
    "highlights" => array:2 [
      "titulo" => "Highlights"
      "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall"><ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">&#8226;</span><p id="par0005" class="elsevierStylePara elsevierViewall">There is no association between uCTX-II and the knee joint load&#46;</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">&#8226;</span><p id="par0010" class="elsevierStylePara elsevierViewall">The uCTX-II level is associated with pain and physical function&#46;</p></li><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">&#8226;</span><p id="par0015" class="elsevierStylePara elsevierViewall">Knee joint load showed no association with pain and physical function&#46;</p></li></ul></p></span>"
    ]
    "resumen" => array:1 [
      "en" => array:3 [
        "titulo" => "Abstract"
        "resumen" => "<span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Objective</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Considering the osteoarthritis &#40;OA&#41; model that integrates the biological&#44; mechanical&#44; and structural components of the disease&#44; the present study aimed to investigate the association between urinary C-Telopeptide fragments of type II collagen &#40;uCTX-II&#41;&#44; knee joint moments&#44; pain&#44; and physical function in individuals with medial knee OA&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Twenty-five subjects radiographically diagnosed with knee OA were recruited&#46; Participants were evaluated through three-dimensional gait analysis&#44; uCTX-II level&#44; the WOMAC pain and physical function scores&#44; and the 40<span class="elsevierStyleHsp" style=""></span>m walk test&#46; The association between these variables was investigated using Pearson&#39;s product-moment correlation&#44; followed by a hierarchical linear regression&#44; controlled by OA severity and body mass index &#40;BMI&#41;&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">No relationship was found between uCTX-II level and knee moments&#46; A significant correlation between uCTX-II level and pain&#44; physical function&#44; and the 40<span class="elsevierStyleHsp" style=""></span>m walk test was found&#46; The hierarchical linear regression controlling for OA severity and BMI showed that uCTX-II level explained 9&#37; of the WOMAC pain score&#44; 27&#37; of the WOMAC physical function score&#44; and 7&#37; of the 40<span class="elsevierStyleHsp" style=""></span>m walk test&#46;</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Conclusion</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Greater uCTX-II level is associated with higher pain and reduced physical function and 40<span class="elsevierStyleHsp" style=""></span>m walk test performance in individuals with medial knee OA&#46;</p></span>"
        "secciones" => array:4 [
          0 => array:2 [
            "identificador" => "abst0010"
            "titulo" => "Objective"
          ]
          1 => array:2 [
            "identificador" => "abst0015"
            "titulo" => "Methods"
          ]
          2 => array:2 [
            "identificador" => "abst0020"
            "titulo" => "Results"
          ]
          3 => array:2 [
            "identificador" => "abst0025"
            "titulo" => "Conclusion"
          ]
        ]
      ]
    ]
    "multimedia" => array:4 [
      0 => array:7 [
        "identificador" => "fig0005"
        "etiqueta" => "Figure 1"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr1.jpeg"
            "Alto" => 543
            "Ancho" => 2508
            "Tamanyo" => 60516
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Scatterplots illustrating the association between uCTX-II with WOMAC pain score &#40;A&#41;&#44; WOMAC physical function score &#40;B&#41;&#44; and 40<span class="elsevierStyleHsp" style=""></span>m walk test &#40;C&#41;&#46;</p>"
        ]
      ]
      1 => array:8 [
        "identificador" => "tbl0005"
        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at1"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Data are mean<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>standard deviation or frequency &#40;proportion&#41;&#46;</p><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">KOA&#44; knee osteoarthritis&#59; BMI&#44; body mass index&#59; WOMAC&#44; Western Ontario &#38; McMaster Universities Osteoarthritis Index&#59; KL&#44; Kellgren and Lawrence classification&#59; uCTX-II&#44; urinary C-Telopeptide fragments of type II collagen&#59; ng&#44; nanogram&#59; mmol&#44; millimole&#59; crea&#44; creatinine&#59; N<span class="elsevierStyleHsp" style=""></span>m&#44; newton meter&#59; Ht&#44; height&#59; KAM&#44; knee adduction moment&#59; KFM&#44; knee flexion moment&#59; KAAI&#44; knee adduction angular impulse&#46;</p>"
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                  <table border="0" frame="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">KOA group &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>25&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">12 &#40;48&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">58&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>4&#46;7&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;1&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">79&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>13&#46;6&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">28&#46;4<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#46;9&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Pain &#40;0&#8211;20&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">8&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#46;8&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Stiffness &#40;0&#8211;8&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">3&#46;4<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;9&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Physical Function &#40;0&#8211;68&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">24&#46;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>13&#46;5&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Walk test &#8211; 40<span class="elsevierStyleHsp" style=""></span>m &#40;m&#47;s&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">1&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;3&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Severity &#40;KL&#41;</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Grade 2 &#40;<span class="elsevierStyleItalic">n</span>&#44; &#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">15 &#40;60&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Grade 3 &#40;<span class="elsevierStyleItalic">n</span>&#44; &#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">10 &#40;40&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="2" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">1&#46;18<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;16&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">26&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>14&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Peak KAM &#40;N</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">m&#47;kg</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Ht&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;02<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;82&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Peak KFM &#40;N</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">m&#47;kg</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Ht&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">2&#46;56<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;48&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">KAAI &#40;N</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">m&#47;kg</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">s</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Ht&#41;</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">1&#46;19<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;46&nbsp;\t\t\t\t\t\t\n
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          0 => array:3 [
            "identificador" => "at2"
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                  <table border="0" frame="\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">uCTX-II Level r&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>-value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">WOMAC pain score&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;49<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;04&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">WOMAC physical function score&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;53<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;02&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Walk test &#40;40<span class="elsevierStyleHsp" style=""></span>m&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8722;0&#46;48<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;04&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Peak KAM &#40;N<span class="elsevierStyleHsp" style=""></span>m&#47;kg<span class="elsevierStyleHsp" style=""></span>Ht&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8722;0&#46;04&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;89&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Peak KFM &#40;N<span class="elsevierStyleHsp" style=""></span>m&#47;kg<span class="elsevierStyleHsp" style=""></span>Ht&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;03&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;55&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">KAAI &#40;N<span class="elsevierStyleHsp" style=""></span>m&#47;kg<span class="elsevierStyleHsp" style=""></span>s<span class="elsevierStyleHsp" style=""></span>Ht&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;14&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;90&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Gait speed &#40;m&#47;s&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8722;0&#46;54<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;03&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Age &#40;years&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;37&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;10&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">BMI &#40;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;17&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;75&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
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            0 => array:3 [
              "identificador" => "tblfn0005"
              "etiqueta" => "&#42;"
              "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Significant correlation &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46;</p> <p class="elsevierStyleNotepara" id="npar0010">uCTX-II&#44; urinary C-Telopeptide fragments of type II collagen&#59; WOMAC&#44; Western Ontario &#38; McMaster Universities Osteoarthritis Index&#59; BMI&#44; body mass index&#59; N<span class="elsevierStyleHsp" style=""></span>m&#44; newton meter&#59; Ht&#44; height&#59; KAM&#44; knee adduction moment&#59; KFM&#44; knee flexion moment&#59; KAAI&#44; knee adduction angular impulse&#46;</p>"
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Pearson correlation coefficient &#40;<span class="elsevierStyleItalic">r</span>&#41; between uCTX-II level&#44; knee moments&#44; symptoms&#44; gait speed&#44; age&#44; BMI and physical function&#46;</p>"
        ]
      ]
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        "mostrarDisplay" => false
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          0 => array:3 [
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Dependent variable&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Step&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Independent variable&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">R</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">R</span><span class="elsevierStyleSup">2</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&#916;<span class="elsevierStyleItalic">R</span><span class="elsevierStyleSup">2</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>-value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="2" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">WOMAC pain score</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Severity and BMI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;59&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;35<a class="elsevierStyleCrossRef" href="#tblfn0010">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;35&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;04&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">uCTX-II&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;67&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;44<a class="elsevierStyleCrossRef" href="#tblfn0010">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;09&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;04&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " rowspan="2" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">WOMAC physical function score</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Severity and BMI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;43&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;19&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;19&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;21&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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