Evidence map›Paper›PMID 39640421›Full record

ReviewOsteoarthritis and cartilage open2025

Risk of all-cause mortality in patients with knee osteoarthritis: A systematic review and meta-analysis of cohort studies.

Pei-En Kao, Amy Ker

Abstract readReview
In one paragraph

Review in Osteoarthritis and cartilage open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Observational
  5. 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

2 authors.

Pei-En KaoDepartment of Medical Education, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 833401, Taiwan.
Amy KerDepartment of Medical Education, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 833401, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This systematic review and meta-analysis aimed to evaluate the risk of all-cause mortality in patients with knee osteoarthritis (OA). Design: Comprehensive searches were conducted in PubMed, Embase, and the Cochrane Library on September 01, 2024. The review included cohort studies reporting risk estimates of all-cause mortality in knee OA patients compared to those without knee OA. Using a random-effects model, the pooled hazard ratios (HRs) were calculated. Subgroup analyses were performed according to the classification of knee OA, including radiographic knee OA only, symptomatic knee OA only, and radiographic and symptomatic knee OA. Results: A total of 15 cohort studies involving 1,023,799 participants were included in the systematic review, with 14 studies remaining for the meta-analysis. The meta-analysis revealed that knee OA patients had an increased risk of all-cause mortality compared to those without knee OA (pooled HR: 1.21; 95% confidence interval [CI]: 1.02, 1.45). Subgroup analyses indicated the mixed results, including radiographic knee OA only (pooled HR: 1.11; 95% CI: 0.97, 1.26), symptomatic knee OA only (pooled HR: 1.07; 95% CI: 0.80, 1.43), and radiographic and symptomatic knee OA (pooled HR: 1.58; 95% CI: 1.20, 2.07). Conclusions: This meta-analysis supports an association between knee OA and an increased risk of all-cause mortality, with a particularly pronounced risk observed in radiographic and symptomatic knee OA patients. Further research is needed to determine if OA at other sites also correlates with a higher risk of all-cause mortality.

Indexed as

All-cause mortalityKnee osteoarthritisMeta-analysisMortalityRadiographic osteoarthritisSymptomatic osteoarthritis

Identifiers

PMID39640421
PMCPMC11616512

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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.