Evidence map›Paper›PMID 30055599›Full record

ArticleBMC musculoskeletal disorders2018

The impact of sarcopenic obesity on knee and hip osteoarthritis: a scoping review.

Kristine Godziuk, Carla M Prado, Linda J Woodhouse, Mary Forhan

2 registry-linked trialsOpen access · goldAbstract readScoping Review
In one paragraph

Article in BMC musculoskeletal disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
8.3field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05734755 naactive not recruitingnot on this mapstarted 2023, after this paper: background citation

Effects of an Individualized Dietary Behavioural Change (IDBC) Programme and Exercise Training in Combination or Separately on Managing Sarcopenic Obesity in Community-dwelling Older Adults: A Cluster Randomized Controlled Trial

TypeinterventionalSponsorThe Hong Kong Polytechnic UniversityRan2023 to 2026Enrolled380ConditionsSarcopenic ObesityArmsThe Individualized Dietary Behavioural Change Programme (IDBC), The Exercise Training
NCT06360432 nacompletednot on this mapstarted 2024, after this paper: background citation

Effects of the EatWelLog App on Enhancing Daily Diet Management for Community-dwelling Older Adults With Sarcopenic Obesity: A Pilot Randomized Controlled Trial

TypeinterventionalSponsorThe Hong Kong Polytechnic UniversityRan2024 to 2026Enrolled40ConditionsSarcopenic ObesityArmsDietary modification program, Exercise training, The EatWellLog App
3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 121 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  5. Observational
  6. Article
  7. Osteoarthritis as a systemic disease.Nature reviews. Rheumatology · 2026
    Review
  8. Article
  9. Article
  10. Article
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  13. Article
  14. Article
  15. Article
  16. Article
  17. Osteoarthritis.Nature reviews. Disease primers · 2025
    Review
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Kristine GodziukFaculty of Rehabilitation Medicine, University of Alberta, 8205 - 114 Street, 2-64 Corbett Hall, Edmonton, AB, T6G 2G4, Canada. godziuk@ualberta.ca.ORCID 0000-0001-9520-4302
Carla M PradoDivision of Human Nutrition, Faculty of Agricultural, Life and Environmental Sciences, University of Alberta, Edmonton, AB, Canada.
Linda J WoodhouseDepartment of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada.
Mary ForhanDepartment of Occupational Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada.
University of Alberta · CA

Funding

CIHR
6 · The paper itself

Abstract

backgroundThe progressive, debilitating nature of knee and hip osteoarthritis can result in severe, persistent pain and disability, potentially leading to a need for total joint arthroplasty (TJA) in end-stage osteoarthritis. TJA in adults with obesity is associated with increased surgical risk and prolonged recovery, yet classifying obesity only using body mass index (BMI) precludes distinction of obesity phenotypes and their impact on surgical risk and recovery. The sarcopenic obesity phenotype, characterized by high adiposity and low skeletal muscle mass, is associated with higher infection rates, poorer function, and slower recovery after surgery in other clinical populations, but not thoroughly investigated in osteoarthritis. The rising prevalence and impact of this phenotype demands further attention in osteoarthritis treatment models of care, particularly as osteoarthritis-related pain, disability, and current treatment practices may inadvertently be influencing its development.

methodsA scoping review was used to examine the extent of evidence of sarcopenic obesity in adults with hip or knee osteoarthritis. Medline, CINAHL, Web of Science and EMBASE were systematically searched from inception to December 2017 with keywords and subject headings related to obesity, sarcopenia and osteoarthritis.

resultsEleven studies met inclusion criteria, with indications that muscle weakness, low skeletal muscle mass or sarcopenia are present alongside obesity in this population, potentially impacting therapeutic outcomes, and TJA surgical risk and recovery.

conclusionsConsideration of sarcopenic obesity should be included in osteoarthritis patient assessments.

Indexed as

AdiposityMuscle StrengthBiomechanical PhenomenaHip JointHumansKnee JointMuscle, SkeletalObesityOsteoarthritis, HipOsteoarthritis, KneePhenotypePrognosisRisk FactorsSarcopeniaArthroplastyBMIBody compositionOsteoarthritisSarcopenic obesity

Identifiers

PMID30055599
PMCPMC6064616
OpenAlexW2883593270

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.