Evidence map›Paper›PMID 33725018›Full record

SynthesisPloS one2021

Stroke risk in arthritis: A systematic review and meta-analysis of cohort studies.

Wei Liu, Wei Ma, Hua Liu, Chunyan Li, Yangwei Zhang, Jie Liu, Yu Liang, Sijia Zhang, Zhen Wu, Chenghao Zang and 2 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. A systematic review and meta-analysis of circulating adhesion molecules in rheumatoid arthritis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024
    Pooled it
  2. Pooled it
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  4. Stroke in autoimmune rheumatic diseases.Rheumatology international · 2026
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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

12 authors.

Wei LiuInstitute of Neuroscience, Kunming Medical University, Kunming, Yunnan, China.
Wei MaInstitute of Neuroscience, Kunming Medical University, Kunming, Yunnan, China.
Hua LiuDepartment of Neurology, The Third People's Hospital of Chengdu & The Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China.
Chunyan LiInstitute of Neuroscience, Kunming Medical University, Kunming, Yunnan, China.
Yangwei ZhangDepartment of Neurology, Nanchong Central Hospital & The Second Clinical Medical College, North Sichuan Medical College, Nanchong, Sichuan, China.
Jie LiuInstitute of Neuroscience, Kunming Medical University, Kunming, Yunnan, China.
Yu LiangInstitute of Neuroscience, Kunming Medical University, Kunming, Yunnan, China.
Sijia ZhangInstitute of Neuroscience, Kunming Medical University, Kunming, Yunnan, China.
Zhen WuSecond Department of General Surgery, First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Chenghao ZangSecond Department of General Surgery, First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Jianhui GuoSecond Department of General Surgery, First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Liyan LiInstitute of Neuroscience, Kunming Medical University, Kunming, Yunnan, China.ORCID 0000-0002-2411-4235

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveStroke is a major contributor to the global burden of disease. Although numerous modifiable risk factors (RF) for stroke have been identified, some remain unexplained. Increasing studies have investigated stroke risk in arthritis, but their results are inconsistent. We aimed to synthesize, quantify, and compare the risk of stroke for the major types of arthritis in cohort studies by using a systematic review and meta-analysis approach.

methodsWe searched Chinese and English databases to identify relevant studies from inception to April 30, 2020. Only studies adjusting at least for age and sex were included. We calculated pooled effect estimates for relative risk (RR) and 95% confidence interval (CI) and identified potential sources of heterogeneity and publication bias.

resultsA total of 1,348 articles were retrieved, and after an preliminary screening of titles and abstracts, 69 were reviewed for full text, and finally, 32 met the criteria for meta-analysis. Stroke risk in arthritis was significantly increased in studies adjusting for age and sex (RR = 1.36, 95% CI: 1.27-1.46) and for at least one traditional risk factor (RR = 1.40, 95% CI: 1.28-1.54). The results of studies stratified by stroke subtype were consistent with the main finding (ischemic stroke: RR = 1.53, 95% CI: 1.32-1.78; hemorrhagic stroke: RR = 1.45, 95% CI: 1.15-1.84). In subgroup analysis by arthritis type, stroke risk was significantly increased in rheumatoid arthritis (RR = 1.38, 95% CI: 1.29-1.48), ankylosing spondylitis (RR = 1.49, 95% CI: 1.25-1.77), psoriatic arthritis (RR = 1.33, 95% CI: 1.22-1.45), and gout (RR = 1.40, 95% CI: 1.13-1.73) but not osteoarthritis (RR = 1.03, 95% CI: 0.91-1.16). Age and sex subgroup analyses indicated that stroke risk was similar by sex (women: RR = 1.47, 95% CI: 1.31-1.66; men: RR = 1.44, 95% CI: 1.28-1.61); risk was higher with younger age (<45 years) (RR = 1.46, 95% CI: 1.17-1.82) than older age (≥65 years) (RR = 1.17, 95% CI: 1.08-1.26).

conclusionsStroke risk was increased in multiple arthritis and similar between ischemic and hemorrhagic stroke. Young patients with arthritis had the highest risk.

Indexed as

AdultAgedAge FactorsArthritis, PsoriaticArthritis, RheumatoidCohort StudiesFemaleGoutHumansMaleRisk FactorsSex FactorsSpondylitis, AnkylosingStroke

Identifiers

PMID33725018
PMCPMC7963101

What Socratic holds

Textmetadata
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 Socratic graph.