Evidence map›Paper›PMID 41630847›Full record

SynthesisPeerJ2026

Rheumatoid arthritis and stroke risk: a systematic review and meta-analysis.

Lulu Yang, Xinyu Liu, Guangyuan Yang, Hongmei Wu, Xingsen Li, Jinyu Xuan, Shuxin Dong

Abstract readSystematic ReviewMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Stroke in autoimmune rheumatic diseases.Rheumatology international · 2026
    Review
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

7 authors.

Lulu Yang *Rehabilitation Medical College, Jiamusi University, Jiamusi, Heilongjiang, China.
Xinyu Liu *Rehabilitation Medical College, Jiamusi University, Jiamusi, Heilongjiang, China.
Guangyuan YangCardiovascular Medicine,The First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang, China.
Hongmei WuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang, China.
Xingsen LiRehabilitation Medical College, Jiamusi University, Jiamusi, Heilongjiang, China.
Jinyu XuanRehabilitation Medical College, Jiamusi University, Jiamusi, Heilongjiang, China.
Shuxin DongDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This meta-analysis aims to evaluate the association between rheumatoid arthritis (RA) and stroke risk. Methods: PubMed, Cochrane Library, and Embase were searched for observational studies published from database inception to October 7, 2025, using medical subject headings (MeSH) and keywords. Random effect models were used to calculate odds ratios (OR) and 95% confidence intervals (CI) for evaluating the associations between RA and stroke risk. All statistical analyses were performed using Stata statistical software version 17.0. The funnel plot, Egger's test and Begg's test were used to evaluate publication bias. Results: This meta-analysis included 12 observational studies with a total of 1,715,001 participants, published between 2003 and 2025. The pooled analysis revealed a significant association between RA and increased stroke risk (OR = 1.35; 95% CI [1.26-1.45]; Conclusions: This meta-analysis demonstrates that RA is associated with an increased risk of stroke, supporting the recognition of RA as an independent stroke risk factor.

Indexed as

Arthritis, RheumatoidStrokeAgedFemaleHumansMaleOdds RatioRisk FactorsMeta-analysisRheumatoid arthritisStrokeSystematic review

Identifiers

PMID41630847
PMCPMC12861136

What OpenQuestion holds

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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.