Evidence map›Paper›PMID 38302663›Full record

SynthesisZeitschrift fur Rheumatologie2024

Impact of gout on cardiovascular disease mortality: a meta-analysis.

Jielin Yuan, Zhitao Xie, Bo Pan, Jingchang Zhang

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Zeitschrift fur Rheumatologie, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Jielin YuanThe Second Nanning People's Hospital, The Third Affiliated Hospital of Guangxi Medical University, No.13 Dancun Road, Jiangnan District, 530031, Nanning, Guangxi Zhuang Autonomous Region, China.
Zhitao XieThe Second Nanning People's Hospital, The Third Affiliated Hospital of Guangxi Medical University, No.13 Dancun Road, Jiangnan District, 530031, Nanning, Guangxi Zhuang Autonomous Region, China.
Bo PanThe Second Nanning People's Hospital, The Third Affiliated Hospital of Guangxi Medical University, No.13 Dancun Road, Jiangnan District, 530031, Nanning, Guangxi Zhuang Autonomous Region, China.
Jingchang ZhangThe Second Nanning People's Hospital, The Third Affiliated Hospital of Guangxi Medical University, No.13 Dancun Road, Jiangnan District, 530031, Nanning, Guangxi Zhuang Autonomous Region, China. yjl7787@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral epidemiological studies have suggested that gout patients have a higher risk of cardiovascular disease mortality than healthy people. In contrast, the association between gout and cardiovascular disease (CVD) mortality was not obvious in other studies. In the present study, we aimed to investigate the relative risk for CVD mortality in gout patients in comparison to healthy controls.

methodsLiterature published before March 2023 was searched in Google Scholar, PubMed, and the Web of Science. We summarized the impact of gout on CVD mortality with a meta-analysis. Hazard ratios (HRs) and 95% confidence intervals (CIs) regarding the impact of gout on CVD mortality were summarized with STATA 12.0 software.

resultsCompared to individuals without gout, those with gout had higher mortality risks for CVD during follow-up, with a random effects model showing a risk of 1.30 (95% CI 1.15 to 1.48, p < 0.001; p-value for Cochran Q test < 0.001, I

conclusionIn conclusion, this meta-analysis provides evidence supporting a markedly increased mortality risk from CVD and CHD as well as MI in patients with gout relative to reference subjects without gout.

Indexed as

Cardiovascular DiseasesGoutHumansRisk FactorsCardiovascular diseaseGoutMeta-analysisMortalityMyocardial infarction

Identifiers

What OpenQuestion holds

Textmetadata
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.