Evidence map›Paper›PMID 32114717›Full record

ArticleACR open rheumatology2020

Risk Factor Profiles for Individuals With Diagnosed OA and With Symptoms Indicative of OA: Findings From the Canadian Longitudinal Study on Aging.

Calvin Yip, Elizabeth M Badley, Mayilee Canizares, J Denise Power, Anthony V Perruccio

Open access · goldAbstract read
In one paragraph

Article in ACR open 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
0.9field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 1 institution in 1 country.

Calvin YipHealthcare & Outcomes Research, Arthritis Program, Krembil Research Institute, University Health Network, Toronto, ON, Canada and Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-1016-8603
Elizabeth M BadleyHealthcare & Outcomes Research, Arthritis Program, Krembil Research Institute, University Health Network, Toronto, ON, Canada and Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-6045-2549
Mayilee CanizaresArthritis Program, Krembil Research Institute, University Health Network, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-5532-9423
J Denise PowerArthritis Program, Krembil Research Institute, University Health Network, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-9903-6200
Anthony V PerruccioHealthcare & Outcomes Research, Arthritis Program, Krembil Research Institute, University Health Network, Toronto, ON, Canada and Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-4389-0993
University Health Network · CA

Funding

Canadian Institutes for Health Research CIHR ACD 151283
6 · The paper itself

Abstract

objectiveThe vast majority of published estimates of osteoarthritis (OA) burden are based on an OA diagnosis. These data are limited, as individuals often do not visit a physician until their symptoms are moderate to severe. This study compared individuals with an OA diagnosis to those with OA joint symptoms but without a diagnosis considering a number of sociodemographic and health characteristics. A further distinction was made between individuals with symptoms in one joint site and those with symptoms in multiple joint sites.

methodsData are from 23 186 respondents aged 45 to 85 years from the first cycle of the Canadian Longitudinal Study on Aging. A multinomial logistic regression model examined the relationship between sociodemographic- and health-related characteristics and OA status (diagnosed OA, joint symptoms without OA, no OA or joint symptoms). In addition, logistic regression models assessed the relationship between OA status and usually experiencing pain and having some degree of functional limitation.

resultsTwenty-one percent of respondents reported a diagnosis of OA, and 25% reported symptoms typical of OA but without an OA diagnosis. Other than being slightly younger, the characteristic profile of individuals with symptoms in two or more joint sites was indistinguishable from that of those with diagnosed OA.

conclusionIt may be warranted to consider OA-like multiple joint symptoms when deriving estimates of OA-attributed population health and cost burden.

Identifiers

PMID32114717
PMCPMC7077769
OpenAlexW3007908117

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.