Literature DB >> 29487072

Can obesity and physical activity predict outcomes of elective knee or hip surgery due to osteoarthritis? A meta-analysis of cohort studies.

Daniel Pozzobon1, Paulo H Ferreira2, Fiona M Blyth3, Gustavo C Machado4,5, Manuela L Ferreira1.   

Abstract

OBJECTIVE: The aim of this study was to systematically review the literature to identify whether obesity or the regular practice of physical activity are predictors of clinical outcomes in patients undergoing elective hip and knee arthroplasty due to osteoarthritis.
DESIGN: Systematic review and meta-analysis. DATA SOURCE AND ELIGIBILITY CRITERIA: A systematic search was performed on the Medline, CINAHL, EMBASE and Web of Science electronic databases. Longitudinal cohort studies were included in the review. To be included, studies needed to have assessed the association between obesity or physical activity participation measured at baseline and clinical outcomes (ie, pain, disability and adverse events) following hip or knee arthroplasty. DATA EXTRACTION: Two independent reviewers extracted data on pain, disability, quality of life, obesity, physical activity and any postsurgical complications.
RESULTS: 62 full papers were included in this systematic review. From these, 31 were included in the meta-analyses. Our meta-analysis showed that compared to obese participants, non-obese participants report less pain at both short term (standardised mean difference (SMD) -0.43; 95% CI -0.67 to -0.19; P<0.001) and long term post-surgery (SMD -0.36; 95% CI -0.47 to -0.24; P<0.001), as well as less disability at long term post-surgery (SMD -0.32; 95% CI -0.36 to -0.28; P<0.001). They also report fewer postsurgical complications at short term (OR 0.48; 95% CI 0.25 to 0.91; P<0.001) and long term (OR 0.55; 95% CI 0.41 to 0.74; P<0.001) along with less postsurgical infections after hip arthroplasty (OR 0.33; 95% CI 0.18 to 0.59; P<0.001), and knee arthroplasty (OR 0.42; 95% CI 0.23 to 0.78; P=0.006).
CONCLUSIONS: Presurgical obesity is associated with worse clinical outcomes of hip or knee arthroplasty in terms of pain, disability and complications in patients with osteoarthritis. No impact of physical activity participation has been observed. PROSPERO REGISTRATION NUMBER: CRD42016032711. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  hip; knee; rheumatology; surgical pathology

Mesh:

Year:  2018        PMID: 29487072      PMCID: PMC5855486          DOI: 10.1136/bmjopen-2017-017689

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


The current review is the most comprehensive systematic review on the topic to date. The current review is the first review to use a quantitative approach to synthesise the results of pain, disability and surgical complications between non-obese and obese participants who underwent hip or knee arthroplasty due to osteoarthritis. The methodological quality of the included studies was in general poor. There was a substantial variability of follow-up duration across studies, ranging from 2 weeks to 11 years.

Introduction

Musculoskeletal pain, including pain from knee and hip osteoarthritis (OA), is the leading cause of physical disability in the world and responsible for an increasing burden to patients and society.1 This problem will increase over time, as the world population ages and physical disability resulting from declining health becomes increasingly prevalent.2 The global healthcare expenditure for knee and hip OA is substantial, and most of these costs are incurred by surgical management and associated hospital care.3 For instance, in the UK, the direct costs of OA were estimated at more than £1 billion in 2010, of which £850 million was spent just on surgical procedures.4 Although management of the early stages of this condition consists of a combination of non-pharmacological and pharmacological therapies (eg, anti-inflammatory and analgesic drugs), surgery has become the most common treatment option for severe cases, especially when non-surgical therapies fail to provide sufficient pain relief.5 Osteotomy, mosaicplasty and arthroplasty are some of the existing types of surgery used to manage OA of the hip and knee; with total or partial arthroplasty being the most commonly recommended.6 There are multiple risk factors for the development of knee OA. Among the most common of these are increased body weight and muscle weakness; often attributed to a sedentary lifestyle.7 Obesity and sedentary lifestyle behaviour have also been associated with serious health conditions such as: coronary heart disease, type 2 diabetes, breast and colon cancers and decreased life expectancy.8 Although there is evidence for the role of obesity and physical inactivity in health conditions and quality of life in general,9 10 the actual impact of these factors, together or in isolation, on the outcomes of elective surgery of the knee and hip is still controversial.11 12 Although previous attempts to systematically review the literature have been made, these studies13–15 have either failed to perform a quantitative summary of the evidence (ie, meta-analysis), have excluded patients undergoing knee arthroplasty16 or have excluded pain outcomes.13 No meta-analyses have been performed considering obesity and physical activity as predictors of surgical outcomes in terms of pain, disability, quality of life and complications after hip or knee arthroplasty for end-stage OA. Identifying whether obesity and physical activity participation predict surgical outcomes in patients with knee and hip OA will inform clinical practice in terms of prognosis and safety of an increasingly prevalent treatment approach. We have conducted a meta-analysis of cohort studies aiming to quantify the role of obesity and physical activity participation as predictors of clinical outcomes in terms of pain, disability, quality of life and postsurgical complications. This review and meta-analysis focused on patients with knee and hip OA undergoing hip or knee arthroplasty.

Methods

Data sources and searches

We conducted a systematic review following the PRISMA statement.17 This review was prospectively registered on PROSPERO, registration number CRD42016032711. A systematic electronic search was performed in the following databases from inception to January 2017: MEDLINE, EMBASE, CINAHL and Web of Science. We used a combination of relevant keywords to construct the search strategy including obesity, physical activity, knee OA, hip OA, arthroplasty and elective surgery (online supplementary appendix 1). The first screening of potentially relevant records was conducted by one author (DP) based on titles and abstract, and two authors (DP and GCM) independently performed the final selection of included trials based on full-text evaluation. A third reviewer arbitrated in case of disagreement (MLF). Moreover, the reference lists of included studies were checked for potential studies. An additional 26 references were screened, but none met our inclusion criteria. No restriction was applied on language.

Study selection

We included only longitudinal studies assessing the role of obesity or physical activity participation on the clinical outcomes following partial or total hip arthroplasty (THA) or partial or total knee arthroplasty (TKA) surgery. Clinical outcomes were defined in terms of pain, disability, quality of life and complications after arthroplasty. To be eligible, studies had to be full reports; include participants who underwent elective arthroplasty of the hip or knee due to OA; include data of presurgical and at least one postsurgical assessment of the clinical outcomes of interest; and assess the association between the predictors and outcomes of interest. Obesity and physical activity participation had to be assessed at baseline. Studies on revision surgery were excluded. Studies were not excluded based on intensity or duration of symptoms.

Data extraction

Using a standardised form, data on study characteristics, predictors and outcome measures of interest were independently extracted from the included studies by two reviewers (DP and GCM). A third author (MLF) resolved any disagreement. Estimates of association between predictors and outcomes of interest were extracted as presented in each study and included ORs, risk ratios (RR), correlations, mean differences (MD) or regression coefficients. When studies reported more than one tool regarding the same topic (eg, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Hip Disability and Osteoarthritis Outcome Score (HOOS), Oxford Hip Score (OHS), Knee Injury and Osteoarthritis Outcome Score (KOOS), Knee Society Score (KSS)), estimates were extracted from the group with the largest sample size. We contacted the authors to provide further information when there were insufficient data reported in the manuscript. When authors were unavailable we estimated data using the recommendations in the Cochrane Handbook for Systematic Reviews of Interventions.18

Outcome measures

Data on pain intensity were extracted as visual analogue scale scores ranging from 0 to 10 and measured directly or as part of the following measurement tools: the WOMAC, the HOOS, the KOOS or the Harris Hip Score (HHS). If studies reported more than one measure of pain intensity or disability for the cohort, the most severe measure at baseline was included in the pooled analyses. Disability measures included the OHS ranging from 12 to 60, with 12 being the best result; Oxford Knee Score ranging from 0 to 60, with 60 being the best result; the HHS ranging from 0 to 100, with 100 being the best result; KSS ranging from 0 to 100, with 100 being the best result; WOMAC total score ranging from 0 to 96, with 0 being the best result; or WOMAC function subscale ranging from 0 to 10, with 10 being the best result; and were converted into a uniform 0–100 scale where 0 meant less disability. Extracted data on complications included any descriptive measure of the number of complications or number of patients with a complication reported during the study. Only two of the screened studies had reported specific raw data on quality of life among the participants after joint arthroplasty, but due to differences in follow-up length, any meta-analysis made by merging these data would result in an unreliable measure.

Methodological quality assessment

The methodological quality of included studies was assessed by two independent reviewers using the Newcastle-Ottawa Scale (NOS)19 recommended by the Cochrane Collaboration.18 The NOS consists of eight items grouped into three categories, namely: selection, comparability and outcome. A star system, ranging from zero to nine stars, is used to classify the quality of the study being reviewed (the more stars the study receives in each category, the higher its methodological quality). After the independent assessment of included studies by the leading author, each study received the following categorical scores representing its quality: good (three or four stars in selection domain AND one or two stars in comparability domain AND two or three stars in outcome domain), fair (two stars in selection domain AND one or two stars in comparability domain AND two or three stars in outcome domain) or poor (zero or one star in selection domain OR zero star in comparability domain OR zero or one star in outcome domain). A third reviewer (MLF) resolved any disagreement between independent assessors. Methodological quality scores for included studies are presented in table 1.
Table 1

Included studies and characteristics

Author, yearCountrySample sizePredictorOutcomesSurgeryFollow-up durationQuality score
AbdelSalam et al, 201224 USA210ObesityComplicationsTotal hip and knee arthroplasty9 yearsFair
Amin et al, 200626 UK328ObesityComplications; disabilityTotal knee replacement6, 18, 36 and 60 monthsPoor
Amin et al, 200625 Scotland82ObesityComplicationsTotal knee replacement38.5 monthsPoor
Andrew et al, 200827 England1059ObesityComplications; disabilityTotal hip arthroplasty3, 12, 24, 36 and 60 monthsPoor
Sadr Azodi et al, 200629 Italy3309ObesityComplicationsTotal hip replacement6–9 yearsFair
Sadr Azodi et al, 200828 Italy2106ObesityComplicationsTotal knee arthroplasty2 yearsFair
Baker et al, 201230 England13 673ObesityComplications; disabilityTotal hip arthroplasty6 monthsFair
Belmont et al, 201431 USA17 514ObesityComplicationsTotal knee arthroplasty1 monthFair
Belmont et al, 201432 USA15 321ObesityComplicationsTotal knee arthroplasty1 monthFair
Bozic et al, 201234 USA40 919ObesityComplicationsTotal hip arthroplasty10 yearsFair
Bozic et al, 201233 USA83 011ObesityComplicationsTotal knee arthroplasty10 yearsFair
Chee et al, 201035 UK106ObesityComplications; disabilityTotal hip arthroplasty6, 18, 36 and 60 monthsGood
Chesney et al, 200836 Scotland1278ObesityComplicationsTotal knee arthroplasty6, 18 and 60 monthsPoor
Collins et al, 201237 UK385ObesityComplications; disabilityTotal knee arthroplasty6 and 18 months 3, 6 and 9 yearsPoor
Davis et al, 201138 Canada931ObesityPainTotal hip and knee arthroplasty2 weeks 1, 3, 6 and 12 monthsFair
Dewan et al, 200939 USA220ObesityComplications; disabilityTotal knee arthroplasty5.4 yearsPoor
Dowsey and Choong, 200885 Australia1207ObesityComplicationsHip arthroplasty1 yearPoor
Dowsey et al, 201040 Australia471ObesityComplications; pain; disabilityTotal hip arthroplasty1 yearGood
Font-Vizcarra et al, 201141 Spain402ObesityComplicationsTotal hip arthroplasty3 monthsFair
Friedman et al, 201342 USA12 355ObesityComplicationsHip and knee arthroplasty2 monthsPoor
Gandhi et al, 201043 Canada1224ObesityPain; disabilityTotal hip arthroplasty1 yearGood
Hamoui et al, 200644 USA63ObesityDisabilityTotal knee arthroplasty11.3 yearsPoor
Heiberg et al, 201345 Norway64ObesityPainTotal hip arthroplasty3 and 12 monthsGood
Ibrahim et al, 200546 UK343ObesityComplicationsTotal hip arthroplasty1 yearPoor
Jackson et al, 200947 Australia100ObesityComplications; pain; disabilityTotal knee replacement9.2 yearsPoor
Jameson et al, 201448 UK5535ObesityDisabilityHip arthroplasty6 monthsFair
Jämsen et al, 201050 Finland2647ObesityComplicationsTotal knee arthroplasty1 yearGood
Jämsen et al, 201249 Finland7181ObesityComplicationsTotal knee arthroplasty1 yearGood
Järvenpää et al, 201051 Finland100ObesityComplications; painTotal knee arthroplasty3 monthsPoor
Järvenpää et al, 201252 Finland52ObesityPain; disabilityTotal knee arthroplasty10.8 yearsPoor
Judge et al, 201053 UK908ObesityDisabilityHip replacement1 yearPoor
Kandil et al, 201554 USA15 770ObesityComplicationsUnicompartmental knee arthroplasty3 monthsPoor
Kessler and Käfer, 200755 Germany67ObesityDisabilityTotal hip replacement10 days and 3 monthsGood
Kim et al, 201156 South Korea227ObesityComplicationsTotal knee arthroplasty6 monthsPoor
Kort et al, 200757 Netherlands46ObesityComplicationsUnicompartmental knee replacement2 yearsPoor
Ledford et al, 201458 USA316ObesityComplicationsTotal hip and knee arthroplasty2 monthsPoor
Liabaud et al, 201359 USA273ObesityComplicationsTotal knee arthroplasty3 and 12 monthsPoor
Liljensøe et al, 201360 Denmark197ObesityPain; disabilityTotal knee arthroplasty4 yearsPoor
Lübbeke et al, 200762 Switzerland2495ObesityComplications; disabilityTotal hip arthroplasty5 yearsGood
Lübbeke et al, 200762 Switzerland325ObesityDisabilityTotal hip arthroplasty5 yearsGood
Mackie et al, 201563 UK1821ObesityComplications; pain; disabilityTotal knee arthroplasty1 yearPoor
Madsen et al, 201464 USA79ObesityComplicationsTotal knee arthroplasty10 yearsPoor
Maisongrosse et al, 201565 France502ObesityComplicationsTotal hip arthroplasty58 monthsPoor
McLaughlin and Lee, 200666 USA198ObesityComplicationsTotal hip replacement14.5 yearsPoor
Michalka et al, 201267 UK191ObesityComplications; pain; disabilityHip arthroplasty6 weeksPoor
Murray et al, 201368 UK2438ObesityComplications; disabilityUnicompartmental knee replacement1 yearPoor
Naal et al, 200969 Switzerland83ObesityPain; disabilityTotal knee arthroplasty6 weeks 3, 12 and 24 monthsPoor
Namba et al, 200570 USA1813ObesityComplicationsTotal hip and knee arthroplasty1 yearPoor
Napier et al, 201471 UK100ObesityComplications; disabilityTotal knee arthroplasty3 and 12 monthsPoor
Naylor et al, 200872 Australia99ObesityPainTotal hip and knee arthroplasty2, 6, 12, 26 and 52 weeksGood
Ollivier et al, 201273 France210Physical activityDisabilityTotal hip arthroplasty10 yearsFair
Patel and Albrizio, 200874 UK527ObesityComplicationsTotal knee replacement4 weeks, 6 weeks and 1 yearGood
Pietschmann et al, 201375 Germany171Physical activityDisabilityUnicompartmental knee arthroplasty4.2 yearsPoor
Poortinga et al, 201476 Netherlands658Physical activityDisabilityTotal hip and knee arthroplasty1 yearGood
Pulido et al, 200877 USA9245ObesityComplicationsTotal hip and knee arthroplasty1 yearFair
Rajgopal et al, 200878 Canada760ObesityComplications; disabilityTotal knee arthroplasty1 yearFair
Sechriest et al, 200779 USA34Physical activityDisabilityTotal hip arthroplasty5 yearsPoor
Aranda Villalobos et al, 201380 Spain63ObesityPain; disabilityTotal hip arthroplasty3 monthsGood
Vogl et al, 201481 Germany281ObesityDisabilityTotal hip arthroplasty6 monthsPoor
Wang et al, 201082 USA97ObesityDisabilityTotal hip arthroplasty3 months 1 and 2 yearsFair
Yasunaga et al, 200983 Japan3577ObesityComplicationsTotal knee arthroplasty5 monthsFair
Zhang et al, 201284 China714ObesityComplications; disabilityTotal hip arthroplasty5 yearsPoor

Data analysis

Data on baseline (ie, presurgical scores) and postoperative outcome scores were weighed by the inverse study variance and used in fractional polynomial regression modelling to build graphs depicting the course of pain and disability over time. STATA V.14 was used for the analyses (StataCorp, College Station, TX).20 Meta-analyses were performed to assess the differences in pain, disability and complications after surgery, between predictor groups (ie, obese and non-obese groups as defined by included studies), using a random effects model. When possible, different analyses were performed for knee and hip arthroplasty and also for different levels of obesity (ie, obesity and morbid obesity). When means and SD of outcomes of interest were presented for multiple predictor groups in the same study (ie, underweight (body mass index (BMI)<18), normal weight (BMI≥18<25), overweight (BMI≥25<30) and obese level I (BMI≥30<35), II (BMI≥35<40) or III (BMI≥40)) these were combined into two groups (non-obese: BMI<30 and obese: BMI≥30) as recommended in the Cochrane Handbook for Systematic Reviews of Interventions18 before inclusion in the pooled analyses. Results were reported as standardised mean differences (SMD) and 95% CIs. Between-study heterogeneity was calculated using I2 (I2<25%: small heterogeneity; 25%75%: large heterogeneity).21 We have defined an SMD of 0.2 as small difference, 0.5 as moderate difference and 0.8 as large difference.22 Assessment of publication bias was performed using funnel plots. The precision (ie, SE) of included studies was plotted against the difference in outcomes between groups (ie, obese or non-obese) and results visually analysed. In the absence of publication bias or small study bias, smaller studies should be evenly spread around the base of the funnel, while the larger studies should be concentrated around the top of the funnel. Plot asymmetry was also quantified using the Egger’s tests, for which a null hypothesis represents symmetry of plotted data.23 All meta-analyses were conducted using Comprehensive Meta-Analysis software (Comprehensive Meta-Analysis, Englewood, NJ). For studies not reporting enough data to be included in the meta-analyses, the reported individual associations were tabulated and qualitatively presented in tables 2–5.

Results

Our search strategy identified 11 990 studies. After removing 381 duplicates, 11 221 studies were screened and excluded based on keywords, titles and abstracts. All the remaining 388 studies were written in English and were assessed by reading the full text, of which 326 were then excluded, yielding 62 studies to be included in the systematic review.24–85 From these, 31 presented enough data to be included in at least one of the meta-analyses (figure 1).
Figure 1

Flow chart of search strategy and screening steps. Detailed steps of references screening process of results from database searches.

Flow chart of search strategy and screening steps. Detailed steps of references screening process of results from database searches.

Included studies

Included studies reported data from 18 different countries: Australia,40 47 72 85 Canada,38 43 78 China,84 Denmark,60 England,27 30 Finland,49–52 France,65 73 Germany,55 75 81 Italy,28 29 Japan,83 Netherlands,57 76 Norway,45 Scotland,25 36 South Korea,56 Spain,41 80 Switzerland,61 62 69 UK26 35 37 46 48 53 63 67 68 71 74 and USA.24 31–34 39 42 44 54 58 59 64 66 70 77 79 82 Demographic data from each study are presented in table 1. Included studies and characteristics

Methodological quality

An overall quality assessment of the studies showed that 50% (n=31) of the included studies were considered as being of good methodological quality, while 1.5% (n=1) were considered fair and 48.5% (n=30) were considered of poor methodological quality. Of the screened studies, 56 (90%) had a follow-up rate of 80% or greater, and only half (n=32 studies) assessed outcomes via retrospective analysis of medical records, conducted adjustment for potential confounders (eg, age or sex) or investigated a representative sample of the population (online supplementary appendix 2).

Assessment of publication bias

Inspection of funnel plots and results of Egger’s test confirmed no evidence of small study bias for those studies included in our pooled analyses, with P values ranging from 0.07 to 0.43 (online supplementary appendices 3–5).

The course of pain and disability over time

The fractional polynomial regression model resulted in a pooled mean disability score and SD before hip arthroplasty of 59.42 (SD: 10.94; n=5250). At 12 months after surgery it had decreased to a mean of 31.31 (SD: 24.28; n=3017) and a further reduction was observed at 120 months, when the mean disability score after hip arthroplasty was 24.32 (SD: 19.53; n=210). For knee OA, a pooled mean disability score of 56.88 (SD: 10.74; n=17 225) was observed for patients undergoing arthroplasty. At 12 months after surgery this value decreased to 21.80 (SD: 13.51; n=2898), while at the 110-month follow-up, the mean disability score was 14.18 (SD: 0.77; n=485). The pooled mean pain score before hip arthroplasty was 54.86 (SD: 10.20; n=2517), decreasing to 13.76 (SD: 1.32; n=1058) 3 months after surgery, 10.8 (SD: 1.69; n=1212) at 6 months and slightly increasing to 13.45 (SD: 7.87; n=2173) at the 12-month follow-up. For patients undergoing knee arthroplasty, the pooled pain score at baseline was 57.78 (SD: 9.28; n=2211), which decreased to 25.67 (SD: 6.61; n=1222) at 6 months, and 14.18 (SD: 0.77; n=1820) at the 12-month follow-up (figure 2).
Figure 2

Fractional polynomial analysis for hip (A) and knee (B) disability scores and hip (C) and knee (D) pain scores over time. (A) Graphic representation of results from fractional polynomial analysis of disability scores evolution over time after hip surgeries. (B) Graphic representation of results from fractional polynomial analysis of disability scores evolution over time after knee surgeries. (C) Graphic representation of results from fractional polynomial analysis of pain scores evolution over time after hip surgeries. (D) Graphic representation of results from fractional polynomial analysis of pain scores evolution over time after knee surgeries.

Fractional polynomial analysis for hip (A) and knee (B) disability scores and hip (C) and knee (D) pain scores over time. (A) Graphic representation of results from fractional polynomial analysis of disability scores evolution over time after hip surgeries. (B) Graphic representation of results from fractional polynomial analysis of disability scores evolution over time after knee surgeries. (C) Graphic representation of results from fractional polynomial analysis of pain scores evolution over time after hip surgeries. (D) Graphic representation of results from fractional polynomial analysis of pain scores evolution over time after knee surgeries.

Association between obesity and postsurgical pain outcomes

Fourteen studies investigated the association between obesity and pain intensity in a total of 5687 patients after hip or knee arthroplasty. Seven of the 14 studies presented enough data to be pooled in a meta-analysis. There was an overall moderate and statistically significant difference in postsurgical pain between obese and non-obese patients after arthroplasty, with non-obese patients having better outcomes at short-term timepoint (SMD −0.44; 95% CI −0.68 to −0.20; P<0.001) and long-term timepoint (SMD −0.36; 95% CI −0.47 to −0.25; P<0.001). The pooled results for separate joints suggest non-obese participants have significantly less short-term (ie, less than 6 months) postsurgical knee pain, compared with obese participants (SMD −0.55; 95% CI −0.90 to −0.20; P=0.002) and postsurgical hip pain (SMD −0.34; 95% CI −0.67 to −0.02; P=0.039). Obesity was defined as having a BMI over 30 kg/m2. At long term (ie, 6 months or longer), there was a significant moderate difference between obese and non-obese groups in terms of knee pain (SMD −0.36; 95% CI −0.48 to −0.25; P<0.001); however, there was no difference between groups for hip pain (SMD −0.32; 95% CI −0.84 to 0.20; P=0.222) (figure 3). The results of individual studies not included in the pooled analyses are presented in table 2.
Figure 3

Pooled standardised mean difference (SMD) in pain at short term and long term after surgery between obese and non-obese patients. Results from meta-analysis of included studies presented as SMD of pain scores at short-term (<6 months) and long-term (≥6 months) follow-ups between non-obese and obese groups.

Table 2

Results of individual studies on the association between postsurgical pain and baseline obesity

Obesity versus pain
Author, yearBMI: mean (SD)MeasureResults
Knee
 Davis et al, 201138 NAHOOS/KOOSAfter adjusting for age, gender, joint and presence of back pain, an increased BMI was associated with worst pain outcomes (P<0.02) at long term after THA or TKA.
 Järvenpää et al, 201051 29.7 (NA)VASIncreased BMI correlates significantly to VAS pain scale (r=0.236; P=0.018) at short term after TKA.
 Liljensøe et al, 201360 30 (NA)SF-36BMI was not associated with SF-36 pain scale (OR=0.96; P=0.1) at long term after TKA.
 Mackie et al, 201563 NAWOMACIncreased BMI was associated with less improvement in WOMAC pain scale (t=−2.64; P<0.001) at long term after TKA.
Hip
 Dowsey et al, 201040 29.55 (5.64)*Harris Hip ScoreBMI was not associated with pain reduction (P=0.71) at long term after THA.
 Heiberg et al, 201345 27 (6.27)*HOOSBMI was not associated with HOOS pain scale (P>0.05) at short term after THA.

*Calculated following guidelines from Cochrane Handbook for Systematic Reviews of Interventions.

BMI, body mass index; HOOS, Hip Dysfunction and Osteoarthritis Outcome Score; KOOS, Knee Injury and Osteoarthritis Outcome Score; NA, none available; SF-36, Short Form 36 Questionnaire; THA, total hip arthroplasty; TKA, total knee arthroplasty; VAS, visual analogue scale; WOMAC, Western Ontario and McMaster Universities Osteoarthritis Index.

Pooled standardised mean difference (SMD) in pain at short term and long term after surgery between obese and non-obese patients. Results from meta-analysis of included studies presented as SMD of pain scores at short-term (<6 months) and long-term (≥6 months) follow-ups between non-obese and obese groups. Results of individual studies on the association between postsurgical pain and baseline obesity *Calculated following guidelines from Cochrane Handbook for Systematic Reviews of Interventions. BMI, body mass index; HOOS, Hip Dysfunction and Osteoarthritis Outcome Score; KOOS, Knee Injury and Osteoarthritis Outcome Score; NA, none available; SF-36, Short Form 36 Questionnaire; THA, total hip arthroplasty; TKA, total knee arthroplasty; VAS, visual analogue scale; WOMAC, Western Ontario and McMaster Universities Osteoarthritis Index.

Association between obesity and postsurgical disability outcomes

The impact of obesity on disability was investigated by 32 studies which compared postsurgery disability scores in 35 286 obese and non-obese participants. Of these, 19 studies presented complete data that were included in the pooled analysis. At short term, no statistically significant difference in overall disability between obese and non-obese participants was observed (SMD −0.16; 95% CI −0.42 to 0.10; P=0.231). Likewise, no statistically significant difference was observed between obese and non-obese participants for postsurgical knee or hip disability (SMD −0.42; 95% CI −1.0 to 0.16; P=0.159 and SMD −0.09; 95% CI −0.39 to 0.20; P=0.527, respectively). At long-term follow-up, however, there was an overall moderate and statistically significant difference in postsurgical disability between obese and non-obese patients regardless of the joint affected (SMD −0.32; 95% CI −0.37 to −0.28; P<0.001). That difference was still statistically significant and of moderate magnitude when knee and hip joints were analysed separately (SMD −0.32; 95% CI −0.37 to −0.27; P<0.001 and SMD −0.35; 95% CI −0.44 to −0.26; P<0.001, respectively, and favouring non-obese patients) (figure 4). The results of individual studies not included in the pooled analyses are presented in table 3.
Figure 4

Pooled standardised mean difference (SMD) in disability at short term and long term after surgery between obese and non-obese patients. Results from meta-analysis of included studies presented as SMD of disability scores at short-term (<6 months) and long-term (≥6 months) follow-ups between non-obese and obese groups.

Table 3

Results of individual studies on the association between postsurgical disability and baseline obesity

Obesity versus disability
Author, yearBMI: mean (SD)MeasureResults
Knee
 Davis et al, 201138 NAWOMAC/KOOSAfter adjusting for age, gender, joint and presence of back pain, an increased BMI was associated with worst outcomes (P<0.02) at long term after TKA or THA.
 Dewan et al, 200939 31 (0.5)Knee Society ScoreBMI was not associated with worst knee function (P>0.119) at long term after TKA.
 Hamoui et al, 200644 27.93 (7.1)*Knee Society ScoreNo significant association between BMI and KSS (P>0.05) was found at long term after TKA.
 Kort et al, 200757 NAWOMACObesity was not related to disability score (P>0.05) at long term after TKA.
 Liljensøe et al, 201360 30 (NA)Knee Society ScoreIncreased BMI was associated with worst knee scores (OR 0.95; 95% CI 0.9 to 1.0; P=0.04) at long term after TKA. These results did not change significantly after adjusting for age, sex, primary disease and surgical approach (OR 0.94; 95% CI 0.90 to 0.99; P=0.02).
 Mackie et al, 201563 NAWOMACIncreased BMI was associated with less improvement in disability scores (WOMAC t=−2.13; P=0.033) at long term after TKA.
 Rajgopal et al, 200878 32.3 (6.58)*WOMACThe morbidly obese group (BMI≥40, n=69) does not present a statistically significant difference in improvement in WOMAC score (P=0.669) when compared with other BMI groups at long term after TKA.
Hip
 Heiberg et al, 201345 27 (6.27)*HHSIncreased BMI was associated with lower HHS (P<0.05) at short term after THA.
 Jameson et al, 201448 NAOHSIncreased BMI was not associated with changes in OHS (P>0.05) at short term after THA.
 Lübbeke et al, 200762 26.4 (4.3)HHSIncreased BMI was associated with lower hip score (r=−0.4, 95% CI −0.8 to −0.1) at long term after THA.
 McLaughlin and Lee, 200666 26 (NA)HHSThe obese group (BMI≥30; n=95) did not present any statistically significant difference from the non-obese group (BMI<30, n=103) with regard to clinical outcomes assessed by HHS (P>0.05) at long term after THA.
 Vogl et al, 201481 26.9 (4.9)WOMACObesity was associated with changes in WOMAC score (P<0.05) at short term after THA.
 Wang et al, 201082 29.14 (6.23)WOMACIncreased BMI was not associated with WOMAC score (P=0.114) at long term after THA.

*Calculated following guidelines from Cochrane Handbook for Systematic Reviews of Interventions.

BMI, body mass index; HHS, Harris Hip Score; KOOS, Knee Injury and Osteoarthritis Outcome Score; KSS, Knee Society Score; NA, none available; OHS, Oxford Hip Score; r, coefficient of association; SF-36, Short Form 36 Questionnaire; THA, total hip arthroplasty; TKA, total knee arthroplasty; WOMAC, Western Ontario and McMaster Universities Osteoarthritis Index.

Pooled standardised mean difference (SMD) in disability at short term and long term after surgery between obese and non-obese patients. Results from meta-analysis of included studies presented as SMD of disability scores at short-term (<6 months) and long-term (≥6 months) follow-ups between non-obese and obese groups. Results of individual studies on the association between postsurgical disability and baseline obesity *Calculated following guidelines from Cochrane Handbook for Systematic Reviews of Interventions. BMI, body mass index; HHS, Harris Hip Score; KOOS, Knee Injury and Osteoarthritis Outcome Score; KSS, Knee Society Score; NA, none available; OHS, Oxford Hip Score; r, coefficient of association; SF-36, Short Form 36 Questionnaire; THA, total hip arthroplasty; TKA, total knee arthroplasty; WOMAC, Western Ontario and McMaster Universities Osteoarthritis Index.

Association between obesity and postsurgical complications

The association between obesity and complications after joint arthroplasty was assessed by 40 studies including a total of 245 433 patients who underwent knee or hip arthroplasty. Of these, 17 presented enough data and were included in the meta-analyses. The pooled results suggest that at short-term follow-up, non-obese participants are less likely to have postsurgical deep vein thrombosis (DVT) (OR 0.49; 95% CI 0.26 to 0.91; P=0.024) when compared with obese participants (figure 5). A total of 13 studies were pooled (n=22 782) showing non-obese patients are also less likely to present any long-term (ie, ≥6 months) dislocation (OR 0.50; 95% CI 0.31 to 0.80; P=0.003) and DVT (OR 0.58; 95% CI 0.36 to 0.94; P=0.043). A non-significant difference between groups was observed between non-obese and obese participants for long-term revision surgery (OR 0.66; 95% CI 0.34 to 1.28; P=0.217) (figure 5).
Figure 5

Pooled association between complications and obesity at short-term and long-term follow-ups. Results from meta-analysis of included studies presented as incidence of complications at short-term (<6 months) and long-term (≥6 months) follow-ups between non-obese and obese groups. DVT, deep vein thrombosis.

Pooled association between complications and obesity at short-term and long-term follow-ups. Results from meta-analysis of included studies presented as incidence of complications at short-term (<6 months) and long-term (≥6 months) follow-ups between non-obese and obese groups. DVT, deep vein thrombosis. The pooled analysis on short-term postsurgical infection for hip replacement showed that non-obese patients are less likely to develop infections compared with obese participants (OR 0.33; 95% CI 0.19 to 0.59; P<0.001) (figure 6). For knee replacement, separate analyses were conducted for studies comparing obese with non-obese participants and those comparing morbidly obese with non-obese participants (figure 7). The results suggest that non-obese patients are less likely to develop infections when compared with morbidly obese patients (OR 0.43; 95% CI 0.23 to 0.78; P=0.006). No association with postsurgical infection was observed when obese and non-obese participants were compared.
Figure 6

Pooled association between postsurgical infections and obesity for hip surgery. Results from meta-analysis of included studies presented as incidence of infections after hip surgery between non-obese and obese groups.

Figure 7

Pooled association of postsurgical infections for knee surgery. Results from meta-analysis of included studies presented as incidence of infections after hip surgery comparing the non-obese group with obese group and the non-obese group with morbidly obese group.

Pooled association between postsurgical infections and obesity for hip surgery. Results from meta-analysis of included studies presented as incidence of infections after hip surgery between non-obese and obese groups. Pooled association of postsurgical infections for knee surgery. Results from meta-analysis of included studies presented as incidence of infections after hip surgery comparing the non-obese group with obese group and the non-obese group with morbidly obese group. The overall pooled analysis for incidence of complications suggests that non-obese participants are less likely to present any postsurgical complication at the long-term follow-up (OR 0.56; 95% CI 0.42 to 0.75; P<0.001, respectively). The results of individual studies not included in the pooled analyses are presented in table 4.
Table 4

Results of individual studies investigating the association between obesity and postsurgical complications

Obesity versus complications
Author, yearBMI: mean (SD)MeasureResults
Ollivier et al, 201273 25.13 (3.14)*HHS/HOOS
Pietschmann et al, 201375 28.4 (4.62)*OKSAt long term, physical activities were not related to complications (P<0.01). Physically active patients had less pain and better OKS scores after UKA.
Poortinga et al, 201476 28.7 (4.9)WOMACAt long term, physical activity was not associated with WOMAC score (P>0.05) after THA or TKA.
Sechriest et al, 200779 28.1 (8.3)UCLAAt long term increased BMI was not correlated to UCLA physical activity score (r=−0.07; P=0.67) after TKA.

*Calculated following guidelines from Cochrane Handbook for Systematic Reviews of Interventions.

BMI, body mass index; HHS, Harris Hip Score; HOOS, Hip disability and Osteoarthritis Outcome Score; OKS, Oxford Knee Score; r, coefficient of association; THA, total hip arthroplasty; TKA, total knee arthroplasty; UCLA, University of California, Los Angeles Activity Questionnaire; UKA, unicompartmental knee arthroplasty; WOMAC, Western Ontario and McMaster Universities Osteoarthritis Index.

Results of individual studies investigating the association between obesity and postsurgical complications *Calculated following guidelines from Cochrane Handbook for Systematic Reviews of Interventions. BMI, body mass index; HHS, Harris Hip Score; HOOS, Hip disability and Osteoarthritis Outcome Score; OKS, Oxford Knee Score; r, coefficient of association; THA, total hip arthroplasty; TKA, total knee arthroplasty; UCLA, University of California, Los Angeles Activity Questionnaire; UKA, unicompartmental knee arthroplasty; WOMAC, Western Ontario and McMaster Universities Osteoarthritis Index.

Association between physical activity participation and disability

The association between physical activity and disability was investigated by four studies73 75 76 79 or 1033 participants undergoing hip or knee arthroplasty. Included studies have not provided enough data to be pooled. The overall results from these four papers suggest that participants who practise more physical activity before the surgeries were more likely to experience less pain after either hip or knee surgery; however, the evidence regarding disability scores is still unclear with studies presenting contradictory results. Table 5 presents the results of the individual studies.
Table 5

Individual results on the association between physical activity and pain or disability

Physical activity versus disability
Author, yearBMI: mean (SD)MeasureResults
Ollivier et al, 201273 25.13 (3.14)*HHS/HOOSAt long term, high-impact sports were associated with better HHS (P<0.001) and HOOS (P<0.05) after THA.
Pietschmann et al, 201375 28.4 (4.62)*OKS/KSS/WOMACAt long term, physical activities were not related to complications. Physically active patients had less pain and better OKS, KSS and WOMAC scores (P<0.05) after UKA.
Poortinga et al, 201476 28.7 (4.9)WOMACAt long term, physical activity was not associated with WOMAC score (P>0.05) after THA or TKA.
Sechriest et al, 200779 28.1 (8.3)UCLAAt long term increased BMI was not correlated to UCLA physical activity score (r=−0.07; P=0.67) after TKA.

*Calculated following guidelines from Cochrane Handbook for Systematic Reviews of Interventions.

BMI, body mass index; HHS, Harris Hip Score; HOOS, Hip disability and Osteoarthritis Outcome Score; KSS, Knee Society Score; OKS, Oxford Knee Score; r, coefficient of association; THA, total hip arthroplasty; TKA, total knee arthroplasty; UCLA, University of California, Los Angeles Activity Questionnaire; UKA, unicompartmental knee arthroplasty; WOMAC, Western Ontario and McMaster Universities Osteoarthritis Index.

Individual results on the association between physical activity and pain or disability *Calculated following guidelines from Cochrane Handbook for Systematic Reviews of Interventions. BMI, body mass index; HHS, Harris Hip Score; HOOS, Hip disability and Osteoarthritis Outcome Score; KSS, Knee Society Score; OKS, Oxford Knee Score; r, coefficient of association; THA, total hip arthroplasty; TKA, total knee arthroplasty; UCLA, University of California, Los Angeles Activity Questionnaire; UKA, unicompartmental knee arthroplasty; WOMAC, Western Ontario and McMaster Universities Osteoarthritis Index.

Discussion

Statement of principal findings

Our results suggest that following surgery, non-obese patients experience further reductions in both pain and disability after knee and hip arthroplasty when compared with obese patients, where obesity has been defined as having a BMI of 30 kg/m2 or over. These differences seemed to be more accentuated for knee pain outcomes following arthroplasty than for hip pain or disability outcomes. Non-obese participants also experienced significantly less postsurgical complications, including dislocation, DVT and infection especially following hip arthroplasty. Our analyses also demonstrate that obesity is a reliable predictor of complications after THA and TKA, in the short term after the procedure and at longer follow-ups. The evidence regarding preoperative physical activity remains unclear due to conflicting results of included studies, especially in terms of postoperative disability. The four included cohort studies, however, suggest that physical activity participation is associated with better pain outcomes following surgery. Our results from the fractional polynomial analysis have also shown that all patients experienced an improvement in pain and disability after surgery. We also highlight that although non-obese patients experience further improvements in pain and disability compared with obese participants, both groups improved significantly following surgery as depicted in figure 2. The observed decrease in pain from baseline was approximately 70% at 6 months and 75% at 12 months, with decreases in disability of 55% at 12 months and 67% at 120 months. The interpretation of the postsurgical course of pain and disability, however, needs to be taken in the context of the inclusion criteria we have used in our review, given we have only included data from cohort studies that have assessed the role of obesity or physical activity participation on surgical outcomes.

Strengths and weaknesses in relation to other studies, discussing particularly any differences in results

Our meta-analysis results regarding the association between obesity and postsurgical complications found that obese patients present higher complication rates than non-obese patients. These results are consistent with the findings of previous systematic reviews of Hofstede et al,14 Samson et al15 and Liu et al.16 Our meta-analysis results regarding the association between obesity and postsurgery disability also agreed with the findings of Buirs et al13 and Samson et al,15 which found that obesity (defined as having BMI over 30 kg/m2) was associated with worst postsurgical functional score. The only previous review which has performed a meta-analysis on the association between obesity and postarthroplasty pain or disability limited its inclusion criteria to hip joint.16 That review included a total of 15 studies in their meta-analysis and found that obesity increases the risk of postsurgical complications (RR 1.68; 95% CI 1.23 to 2.30; P=0.0004) and is associated with worse disability scores following surgery (MD −2.75; 95% CI −4.77 to −0.6; P=0.07). Our study has included 33 cohorts of hip arthroplasty participants in the qualitative analysis, 16 in the meta-analyses, and confirms past findings that obesity is associated with worse outcomes in terms of disability and complications, and pain at both short-term and long-term periods following surgery. Hofstede et al14 have also conducted a systematic review of the literature on preoperative predictors of surgical outcomes after hip replacement in patients with OA. Although those authors included 35 studies, only five studies investigated the effect of obesity on postsurgical pain, disability and quality of life.14 No meta-analysis was performed.

Implications for clinicians or policymakers

Our results have a direct impact on clinical practice as the results demonstrate that obese patients have a higher risk of complications and a poorer prognosis in terms of pain and disability postoperatively when compared with non-obese patients. These results also allude to the importance of identifying and implementing effective presurgical rehabilitation and weight loss approaches to optimise postsurgical outcomes and minimise harm to the patient. The importance of weight loss has been highlighted in international clinical guidelines on non-surgical management of knee OA, for instance, given the pain and disability reductions observed following weight loss regimes.86 Past research also suggests there is a dose–response relationship between weight loss and clinical outcome improvement. A recent completer-type analysis of 1383 participants with knee OA showed that a weight loss of 7.7% of body weight or more is associated with clinically important changes in pain and disability, as measured using the Knee Injury and Osteoarthritis Outcome Score (KOOS).87 This evidence reinforces the importance of presurgical weight loss programmes and strategies in order to optimise postsurgical recovery.

Strengths and weaknesses of the study

The current review has included 62 cohort studies and a total of 256 481 participants and is the most comprehensive systematic review on the topic to date. It is also the first review to use a quantitative approach to synthesise the results of pain, disability and surgical complications between non-obese and obese participants and consider the physical activity level of participants who underwent hip or knee arthroplasty due to OA. Our review has some limitations. The methodological quality of the included studies was in general poor. The most common methodological flaw among included cohorts was not controlling for confounding factors age, sex or BMI (32 studies, 51%) followed by not using a representative sample (n=30 studies, 48%). Moreover, we have observed great variability of follow-up duration across studies, ranging from 2 weeks to 11 years. We have used a cut-off of 6 months to define short-term follow-up (ie, <6 months) or long-term follow-up (ie, ≥6 months), but acknowledge that within each follow-up category there was substantial variation in the duration of follow-up across studies. Between-study heterogeneity has also been observed in some of the pooled analysis for obesity presented in this review. A potential source of between-study heterogeneity includes the variability in the definition of obesity categories across studies. Although obesity was assessed using BMI scores in all studies, some studies have used only two obesity groups (ie, obese or non-obese) while others used several categories including underweight, normal or overweight, obese and morbidly obese. These needed to be combined for some of our pooled analyses. Another potential source of between-study heterogeneity across is the difference in surgical procedures used across studies. For instance, in the pooled analysis of risk of postsurgical DVT and obesity, while Kandil et al54 performed unicompartmental knee arthroplasties, Friedman et al42 performed total arthroplasties on both hip and knee joints. That discrepancy might explain the different results reported by these two studies (figure 5). Likewise, the mean physical activity load reported by the included studies varied substantially, ranging from low to high frequency of participation in low and high-impact activities. This should be taken into consideration when interpreting the physical activity results.

Conclusion

Our results have shown that obese patients undergoing hip or knee arthroplasty due to OA have worse outcomes in terms of pain and complications when compared with non-obese patients, with differences more accentuated for patients with knee OA. Likewise, obese patients will have worse surgical outcomes in terms of disability, but only at long-term follow-ups. It is still unclear whether presurgical physical activity participation has an impact on surgical outcomes. However, we acknowledge that the health benefits of physical activity participation for patients with knee and hip OA are multiple and reach beyond those considered in this review.
  81 in total

1.  Does impact sport activity influence total hip arthroplasty durability?

Authors:  Matthieu Ollivier; Solenne Frey; Sebastien Parratte; Xavier Flecher; Jean-Noël Argenson
Journal:  Clin Orthop Relat Res       Date:  2012-11       Impact factor: 4.176

2.  High body mass index is associated with increased risk of implant dislocation following primary total hip replacement: 2,106 patients followed for up to 8 years.

Authors:  Omid Sadr Azodi; Johanna Adami; David Lindström; Karl O Eriksson; Andreas Wladis; Rino Bellocco
Journal:  Acta Orthop       Date:  2008-02       Impact factor: 3.717

3.  No influence of body mass index on early outcome following total hip arthroplasty.

Authors:  T Ibrahim; S Hobson; A Beiri; C N Esler
Journal:  Int Orthop       Date:  2005-09-24       Impact factor: 3.075

4.  Activity level in young patients with primary total hip arthroplasty: a 5-year minimum follow-up.

Authors:  V Franklin Sechriest; Richard F Kyle; Daniel J Marek; Jesse D Spates; Khaled J Saleh; Michael Kuskowski
Journal:  J Arthroplasty       Date:  2007-01       Impact factor: 4.757

5.  The Oxford phase III unicompartmental knee replacement in patients less than 60 years of age.

Authors:  Nanne P Kort; Jos J A M van Raay; Jim J van Horn
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2006-10-07       Impact factor: 4.342

6.  Higher body mass index leads to longer operative time in total knee arthroplasty.

Authors:  Barthelemy Liabaud; David A Patrick; Jeffrey A Geller
Journal:  J Arthroplasty       Date:  2012-11-08       Impact factor: 4.757

7.  Relationship between intraoperative cultures during hip arthroplasty, obesity, and the risk of early prosthetic joint infection: a prospective study of 428 patients.

Authors:  Lluís Font-Vizcarra; Eduard Tornero; Guillem Bori; Jordi Bosch; Josep Mensa; Alex Soriano
Journal:  Int J Artif Organs       Date:  2011-09       Impact factor: 1.595

8.  The influence of body mass index on life quality and clinical improvement after total hip arthroplasty.

Authors:  Zi-ji Zhang; Xiao-yi Zhao; Yan Kang; Zhi-qi Zhang; Zi-bo Yang; Ai-shan He; Ming Fu; Pu-yi Sheng; Wei-ming Liao
Journal:  J Orthop Sci       Date:  2012-02-10       Impact factor: 1.601

9.  Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy.

Authors:  I-Min Lee; Eric J Shiroma; Felipe Lobelo; Pekka Puska; Steven N Blair; Peter T Katzmarzyk
Journal:  Lancet       Date:  2012-07-21       Impact factor: 79.321

Review 10.  Preoperative predictors for outcomes after total hip replacement in patients with osteoarthritis: a systematic review.

Authors:  Stefanie N Hofstede; Maaike G J Gademan; Thea P M Vliet Vlieland; Rob G H H Nelissen; Perla J Marang-van de Mheen
Journal:  BMC Musculoskelet Disord       Date:  2016-05-17       Impact factor: 2.362

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Authors:  Harold Akehurst; Sebastien Crosswell; David Maska; Renata Bartucz; Sandeep Deo
Journal:  Eur J Orthop Surg Traumatol       Date:  2021-01-23

2.  The effect of body mass index on the outcomes of cementless medial mobile-bearing unicompartmental knee replacements.

Authors:  Hasan Raza Mohammad; Stephen Mellon; Andrew Judge; Christopher Dodd; David Murray
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2021-04-17       Impact factor: 4.342

3.  Predictors of 90-Day All-Cause Morbidity, Mortality and Poor Functional Outcome Scores Following Elective Total Knee Arthroplasty in a High-Volume Setting: A Prospective Cohort Study.

Authors:  Vikram Indrajit Shah; Javahir A Pachore; Sachin Upadhyay; Kalpesh Shah; Ashish Seth; Amish Kshatriya; Jayesh Patil; Pranay Gujjar; Milan Kantesariya
Journal:  Indian J Orthop       Date:  2021-11-11       Impact factor: 1.251

4.  Risk Factors for Nonresilient Outcomes in Older Adults After Total Knee Replacement.

Authors:  Thomas Laskow; Jiafeng Zhu; Brian Buta; Julius Oni; Frederick Sieber; Karen Bandeen-Roche; Jeremy Walston; Patricia D Franklin; Ravi Varadhan
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2022-09-01       Impact factor: 6.591

5.  Factors Correlated With Physical Function 1 Year After Total Knee Arthroplasty in Patients With Knee Osteoarthritis: A Systematic Review and Meta-analysis.

Authors:  Unni Olsen; Maren Falch Lindberg; Christopher Rose; Eva Denison; Caryl Gay; Arild Aamodt; Jens Ivar Brox; Øystein Skare; Ove Furnes; Kathryn Lee; Anners Lerdal
Journal:  JAMA Netw Open       Date:  2022-07-01

6.  Patients lose weight after a total knee arthroplasty: myth or reality?

Authors:  Alexandre Coelho; Joan Leal-Blanquet; Juan Francisco Sánchez-Soler; Raúl Torres-Claramunt; Pedro Hinarejos; Joan Carles Monllau
Journal:  Int Orthop       Date:  2022-03-29       Impact factor: 3.479

Review 7.  Pathogenesis and clinical management of obesity-related knee osteoarthritis: Impact of mechanical loading.

Authors:  Lianzhi Chen; Jessica Jun Yi Zheng; Guangyi Li; Jun Yuan; Jay R Ebert; Hengyuan Li; John Papadimitriou; Qingwen Wang; David Wood; Christopher W Jones; Minghao Zheng
Journal:  J Orthop Translat       Date:  2020-05-15       Impact factor: 5.191

8.  No influence of obesity on mid-term clinical, functional, and radiological results after computer-navigated total knee arthroplasty using a gap balancing technique.

Authors:  Raj Kanna; Ananth Brasanna; Gautam M Shetty; Chandramohan Ravichandran
Journal:  J Clin Orthop Trauma       Date:  2021-01-08

Review 9.  [Decision for total hip arthroplasty-the surgeons' view].

Authors:  Anne Postler; Cornelia Lützner; Toni Lange; Jochen Schmitt; Jörg Lützner; Klaus-Peter Günther
Journal:  Orthopade       Date:  2021-03-05       Impact factor: 1.087

Review 10.  Behavioral, Psychological, Neurophysiological, and Neuroanatomic Determinants of Pain.

Authors:  Samantha M Meints; Robert R Edwards; Christopher Gilligan; Kristin L Schreiber
Journal:  J Bone Joint Surg Am       Date:  2020-05-20       Impact factor: 6.558

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