Evidence map›Paper›PMID 40369408›Full record

SynthesisBMC cardiovascular disorders2025

Bidirectional association between cardiovascular disease and hip fracture: a systematic review and meta-analysis.

Jinyi Wu, Yan Zhang, Junwen Wang, Qingsong Zhang, Jun Jiang, Qingwu Jiang, Yibiao Zhou

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

7 authors.

Jinyi WuFudan University School of Public Health, Xuhui, Shanghai, China.
Yan ZhangJiading District Center for Disease Control and Prevention, 1055 Hongde Road, Shanghai, 201821, China.
Junwen WangWuhan fourth hospital, Qiaokou, Wuhan, China.
Qingsong ZhangWuhan fourth hospital, Qiaokou, Wuhan, China.
Jun JiangFudan University School of Public Health, Xuhui, Shanghai, China.
Qingwu JiangFudan University School of Public Health, Xuhui, Shanghai, China.
Yibiao ZhouFudan University School of Public Health, Xuhui, Shanghai, China. ybzhou@fudan.edu.cn.

Funding

The Three-year (2023-2025) Action Plan of Shanghai Public Health System Development. GWVI-11.2-YQ18
6 · The paper itself

Abstract

backgroundThe aim of this study was to comprehensively analyze the bidirectional association between cardiovascular disease (CVD) and hip fracture (HF).

methodsWe searched PubMed, EMBASE, Web of Sciences, Cochrane Library, ScienceDirect and China National Knowledge Infrastructure for relevant studies. The Newcastle-Ottawa scale was used to evaluate the risk of bias. We conducted random effects model for meta-analysis and subgroup analysis of different ethnic groups. Sensitivity analysis and publication bias of this study were also evaluated. This study followed the PRISMA and MOOSE guidelines for systematic reviews and meta-analyses.

resultsThis research included 18 cohort studies and case-control studies with a total sample of 1,854,441 individuals. The results showed ischemic heart disease might increase the risk of HF (OR = 1.41, 95%CI[1.05, 1.89], I

conclusionsThis study supports possible bidirectional associations between CVD and HF, but more mechanistic studies of CVD and HF were warranted. However, high heterogeneity and potential confounding by unmeasured variables warrant cautious interpretation.

Indexed as

Cardiovascular DiseasesHeart FailureHip FracturesStrokeAgedAged, 80 and overFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedPrognosisRisk AssessmentRisk FactorsCVDHip fractureMeta-analysisRiskSystematic review

Identifiers

PMID40369408
PMCPMC12080214

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.