Evidence map›Paper›PMID 31912407›Full record

ArticleClinical rheumatology2020

Identifying subgroups of community-dwelling older adults and their prospective associations with long-term knee osteoarthritis outcomes.

Ishanka P Munugoda, Feng Pan, Karen Wills, Siti M Mattap, Flavia Cicuttini, Stephen E Graves, Michelle Lorimer, Graeme Jones, Michele L Callisaya, Dawn Aitken

Abstract read
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In one paragraph

Article in Clinical rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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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

10 authors.

Ishanka P MunugodaMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia. Ishanka.munugoda@utas.edu.au.ORCID https://orcid.org/0000-0001-5075-6760
Feng PanMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
Karen WillsMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
Siti M MattapMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
Flavia CicuttiniDepartment of Epidemiology and Preventive Medicine, Monash University Medical School, Melbourne, Victoria, Australia.
Stephen E GravesAustralian Orthopaedic Association National Joint Replacement Registry (AOANJRR), Adelaide, South Australia, Australia.
Michelle LorimerSouth Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia.
Graeme JonesMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
Michele L CallisayaMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
Dawn AitkenMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.

Funding

Arthritis Foundation of Australia (AU) MRI06161National Health and Medical Research Council 302204Tasmanian Community Fund (TCF) D0015018
6 · The paper itself

Abstract

objectivesTo identify subgroups of community-dwelling older adults and to assess their longitudinal associations with long-term osteoarthritis (OA) outcomes.

methods1046 older adults aged 50-80 years were studied. At baseline, body mass index (BMI), pedometer-measured ambulatory activity (AA), and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) determined knee pain and information on comorbidities were obtained. Tibial cartilage volume and bone-marrow lesions (BMLs) were assessed using MRI at baseline and 10 years and total knee replacements (TKR) by data linkage to the Australian Orthopaedic Association National Joint Replacement Registry. Latent class analysis was used to determine participant subgroups, considering baseline BMI, AA, pain and comorbidities, and linear mixed-effects or log-binomial models were used to assess the associations.

resultsThree subgroups/classes were identified: subgroup 1 (43%): Normal/overweight participants with higher AA, lower pain and lower comorbidities; subgroup 2 (32%): Overweight participants with lower AA, mild pain and higher comorbidities; subgroup 3 (25%): Obese participants with lower AA, mild pain and higher comorbidities. Subgroup 3 had greater cartilage volume loss (β - 60.56 mm

conclusionsOur findings suggest the existence of homogeneous subgroups of participants and support the utility of identifying patterns of characteristics/risk factors that may cluster together and using them to identify subgroups of people who may be at a higher risk of developing and/or progressing OA. Key Points • Complex interplay among characteristics/factors leads to conflicting evidence between ambulatory activity and knee osteoarthritis. • Distinct subgroups are identifiable based on ambulatory activity, body mass index, knee pain, and comorbidities. • Identifying subgroups can be used to determine those who are at risk of developing/progressing osteoarthritis.

Indexed as

AgedAged, 80 and overArthroplasty, Replacement, KneeAustraliaBone MarrowCartilage, ArticularFemaleHumansIndependent LivingKneeLatent Class AnalysisLogistic ModelsMagnetic Resonance ImagingMaleMiddle AgedOsteoarthritis, KneeBone-marrow lesionsCartilage volumeLatent-class analysisOsteoarthritisTotal knee replacement

Identifiers

PMID31912407

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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.