Evidence map›Paper›PMID 33590469›Full record

SynthesisAging clinical and experimental research2021

Knee osteoarthritis and time-to all-cause mortality in six community-based cohorts: an international meta-analysis of individual participant-level data.

Kirsten M Leyland, Lucy S Gates, Maria T Sanchez-Santos, Michael C Nevitt, David Felson, Graeme Jones, Joanne M Jordan, Andrew Judge, Dani Prieto-Alhambra, Noriko Yoshimura and 10 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Aging clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
13.1field-weighted citation impact, top 1% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.

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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

20 authors at 9 institutions in 6 countries.

Kirsten M LeylandMRC Integrated Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK.
Lucy S GatesNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Maria T Sanchez-SantosCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Michael C NevittDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
David FelsonBoston University School of Medicine, Boston, MA, USA.
Graeme JonesMenzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
Joanne M JordanDepartment of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Andrew JudgeNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Dani Prieto-AlhambraCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Noriko YoshimuraDepartment of Preventive Medicine for Locomotive Organ Disorders, 22nd Century Medical and Research Center, The University of Tokyo, Tokyo, Japan.
Julia L NewtonNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Leigh F CallahanDepartment of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Cyrus CooperNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Mark E BattCentre for Sport, Exercise and Osteoarthritis Research Versus Arthritis, Nottingham University Hospitals, Nottingham, UK.
Jianhao LinPeking University People's Hospital, Arthritis Clinic and Research Centre, Beijing, China.
Qiang LiuPeking University People's Hospital, Arthritis Clinic and Research Centre, Beijing, China.
Rebecca J ClevelandDepartment of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Gary S CollinsCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Nigel K ArdenNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK. nigel.arden@ndorms.ox.ac.uk.ORCID http://orcid.org/0000-0002-3452-3382
PCCOA Steering Committee
International Society of Nephrology · BENuffield Orthopaedic Centre · GBUniversity of North Carolina at Chapel Hill · USPeking University · CNSouthampton General Hospital · GBArthritis UK · GBThe University of Tokyo · JPUniversity of California, San Francisco · USUniversity of Tasmania · AU

Funding

Research and Evaluation Support Core Unit (RESCU Core)P30AR072571 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI TUHINA NEOGI · 2019 to 2026
$6.9M
Medical Research Council G0400491Medical Research Council MC_PC_21000Medical Research Council MC_PC_21001Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UU_12011/1NIAMS NIH HHS P30 AR072571Versus Arthritis 17702Versus Arthritis 21595
6 · The paper itself

Abstract

backgroundOsteoarthritis (OA) is a chronic joint disease, with increasing global burden of disability and healthcare utilisation. Recent meta-analyses have shown a range of effects of OA on mortality, reflecting different OA definitions and study methods. We seek to overcome limitations introduced when using aggregate results by gathering individual participant-level data (IPD) from international observational studies and standardising methods to determine the association of knee OA with mortality in the general population.

methodsSeven community-based cohorts were identified containing knee OA-related pain, radiographs, and time-to-mortality, six of which were available for analysis. A two-stage IPD meta-analysis framework was applied: (1) Cox proportional hazard models assessed time-to-mortality of participants with radiographic OA (ROA), OA-related pain (POA), and a combination of pain and ROA (PROA) against pain and ROA-free participants; (2) hazard ratios (HR) were then pooled using the Hartung-Knapp modification for random-effects meta-analysis.

findings10,723 participants in six cohorts from four countries were included in the analyses. Multivariable models (adjusting for age, sex, race, BMI, smoking, alcohol consumption, cardiovascular disease, and diabetes) showed a pooled HR, compared to pain and ROA-free participants, of 1.03 (0.83, 1.28) for ROA, 1.35 (1.12, 1.63) for POA, and 1.37 (1.22, 1.54) for PROA. DISCUSSION: Participants with POA or PROA had a 35-37% increased association with reduced time-to-mortality, independent of confounders. ROA showed no association with mortality, suggesting that OA-related knee pain may be driving the association with time-to-mortality.

fundingVersus Arthritis Centre for Sport, Exercise and Osteoarthritis and Osteoarthritis Research Society International.

Indexed as

Cardiovascular DiseasesOsteoarthritis, KneeHumansKnee JointRadiographyKneeMeta-analysisMortalityOsteoarthritis

Identifiers

PMID33590469
PMCPMC7943431
OpenAlexW3120526953

What OpenQuestion holds

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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.