Evidence map›Paper›PMID 32113478›Full record

ArticleBMC musculoskeletal disorders2020

Applying the International Classification of Functioning, Disability and Health framework to determine the predictors of falls and fractures in people with osteoarthritis or at high risk of developing osteoarthritis: data from the Osteoarthritis Initiative.

Sze-Ee Soh, Anna L Barker, Renata T Morello, Ilana N Ackerman

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 6% 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.

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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  8. Article
  9. Analysis of the Associations between Arthritis and Fall Histories in Korean Adults.International journal of environmental research and public health · 2021
    Article
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 3 institutions in 1 country.

Sze-Ee SohDepartment of Epidemiology and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Vic, 3004, Australia. Sze-Ee.Soh@monash.edu.ORCID http://orcid.org/0000-0002-1400-7700
Anna L BarkerDepartment of Epidemiology and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Vic, 3004, Australia.
Renata T MorelloDepartment of Epidemiology and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Vic, 3004, Australia.
Ilana N AckermanDepartment of Epidemiology and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Vic, 3004, Australia.
Monash University · AUAustralian Road Research Board · AUMonash Health · AU

Funding

Arthritis Australia 152556627
6 · The paper itself

Abstract

backgroundFalls are a major cause of injury and death among older people. Evidence suggests that people with osteoarthritis (OA) are at a higher risk of falls and fall-related injuries including fractures. While studies demonstrate a link between OA and falls, little is known about the pathways that link falls with demographic factors, OA impairments, activity limitations and participation restrictions. The aim of this study was to identify risk factors for falls and fractures among people with OA or at high risk of developing OA using the International Classification of Functioning, Disability and Health (ICF) framework.

methodsA longitudinal analysis of data from the Osteoarthritis Initiative (OAI) dataset was undertaken. Participants were considered to have OA if they reported they had been diagnosed with knee or hip OA by a medical practitioner. Outcomes were self-reported falls and fractures. Potential predictors were classified using the ICF framework. Poisson regression models were used to determine the risk factors for falls and fractures.

resultsOf the 4796 participants, 2270 (47%) were diagnosed with knee and/or hip OA. A higher proportion of participants with OA reported having had falls (72% vs 63%; p < 0.0001) and fractures (17% vs 14%; p = 0.012) than those without OA. Personal factors were found to be stronger predictors of falls and fractures compared to OA impairments, activity limitations and participation restrictions in this sample of participants. After adjusting for potential covariates, self-reported history of falls was a significant predictor of both increased falls (incidence rate ratio [IRR] 1.50; 95% confidence interval [CI] 1.40, 4.60) and fracture risk (IRR 1.38; 95% CI 1.13, 1.69).

conclusionsBy applying the ICF framework, we have shown that personal factors were more likely to predict falls and fractures rather than OA impairments, environmental factors, activity limitations and participation restrictions in people with OA or at high risk of developing OA. This highlights the importance of questioning patients about their previous falls and past medical history, and using this information to focus our assessment and clinical decision-making processes.

Indexed as

International Classification of Functioning, Disability and HealthAccidental FallsAgedAge FactorsClinical Decision-MakingDisability EvaluationFemaleFractures, BoneHumansLife StyleLongitudinal StudiesMaleMedical History TakingMiddle AgedOsteoarthritis, HipRetrospective StudiesFallsFracturesOlder peopleOsteoarthritis

Identifiers

PMID32113478
PMCPMC7049177
OpenAlexW3009955127

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.