Evidence map›Paper›PMID 35506208›Full record

ArticleArthritis & rheumatology (Hoboken, N.J.)2022

Genomic Risk Score for Advanced Osteoarthritis in Older Adults.

Paul Lacaze, Yuanyuan Wang, Galina Polekhina, Andrew Bakshi, Moeen Riaz, Alice Owen, Angus Franks, Jawad Abidi, Jane Tiller, John McNeil and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Arthritis & rheumatology (Hoboken, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Paul LacazeMonash University, Melbourne, Australia.
Yuanyuan WangMonash University, Melbourne, Australia.ORCID 0000-0002-7629-4178
Galina PolekhinaMonash University, Melbourne, Australia.
Andrew BakshiMonash University, Melbourne, Australia.
Moeen RiazMonash University, Melbourne, Australia.
Alice OwenMonash University, Melbourne, Australia.
Angus FranksMonash University, Melbourne, Australia.
Jawad AbidiAlfred Hospital, Melbourne, Australia.
Jane TillerMonash University, Melbourne, Australia.
John McNeilMonash University, Melbourne, Australia.
Flavia CicuttiniMonash University, Melbourne, Australia.
Monash University · AUThe Alfred Hospital · AU

Funding

ASPirin in Reducing Events in the ElderlyU01AG029824 · NIA · HENNEPIN HEALTHCARE RESEARCH INSTITUTE · PI MCNEIL, JOHN JAMES, MURRAY, ANNE M · 2009 to 2018
$64.6M
Main Administrative CoreU19AG062682 · NIA · HENNEPIN HEALTHCARE RESEARCH INSTITUTE · PI CHAN, ANDREW T, MCNEIL, JOHN JAMES · 2019 to 2023
$42.9M
NIA NIH HHS U01 AG029824NIA NIH HHS U19 AG062682
6 · The paper itself

Abstract

objectivePrevention of osteoarthritis (OA) remains important, as there are no disease-modifying treatments. A personalized approach has the potential to better target prevention strategies. In the present study, we used recently identified genetic risk variants from genome-wide association analysis for advanced OA to calculate polygenic risk scores (PRS) for knee and hip OA and assessed PRS performance in an independent population of older community-dwelling adults.

methodsPRS were calculated in 12,093 individuals of European genetic descent ages ≥70 years who were enrolled in the Aspirin in Reducing Events in the Elderly trial. The outcome measure was knee and hip replacement (hospitalizations during the trial and self-reported joint replacements before enrollment). PRS were considered as continuous (per SD) and categorical (low risk [0-20%], medium risk [21-80%], high risk [81-100%]) variables. Logistic regression was used to examine associations between PRS and risk of joint replacement, adjusted for age, sex, body mass index, and socioeconomic status.

resultsAmong the participants, 1,422 (11.8%) had knee replacements and 1,297 (10.7%) had hip replacements. PRS (per SD) were associated with a risk of knee replacement (odds ratio [OR] 1.13 [95% confidence interval (95% CI) 1.07-1.20]) and hip replacement (OR 1.23 [95% CI 1.16-1.30]). Participants with high PRS had an increased risk of knee replacement (OR 1.44 [95% CI 1.20-1.73]) and hip replacement (OR 1.88 [95% CI 1.56-2.26]), compared to those with low PRS. Associations were stronger for PRS and hip replacement risk in women than in men. Associations were similar in sensitivity analyses that examined joint replacements before and during the trial separately.

conclusionPRS have the potential to improve prevention of severe knee and hip OA by providing a personalized approach and identifying individuals who may benefit from early intervention.

Indexed as

Arthroplasty, Replacement, HipOsteoarthritis, HipOsteoarthritis, KneeAgedFemaleGenome-Wide Association StudyGenomicsHumansMaleRisk Factors

Identifiers

PMID35506208
PMCPMC9427681
OpenAlexW4225409189

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.