Evidence map›Paper›PMID 38545361›Full record

ArticleTurk gogus kalp damar cerrahisi dergisi2024

Association of body mass index with clinical outcomes in patients with acute coronary syndrome: A systematic review and meta-analysis.

Man Wang, Xun Wei, Maolin Zhao

Open access · bronzeAbstract read
In one paragraph

Article in Turk gogus kalp damar cerrahisi dergisi, 2024. 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
0.8field-weighted citation impact, top 28% of its field
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, 2 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Man WangDepartment of Cardiovascular, People's Hospital of Yingshan County, Hubei Province, China.ORCID 0000-0002-1889-2399
Xun WeiDepartment of Cardiovascular, People's Hospital of Yingshan County, Hubei Province, China.ORCID 0000-0002-2369-1102
Maolin ZhaoDepartment of Cardiovascular, Yingshan Hospital Affiliated to Huanggang Vocational and Technical College, Huanggang, Hubei, China.ORCID 0000-0003-2000-2401
People’s Hospital of Wenshan Prefecture · CNHuanggang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In this meta-analysis, we aimed to systematically examine the relationship between body mass index and major adverse cardiovascular events in acute coronary syndrome patients and to provide theoretical guidance for body weight management in these patients. Methods: A comprehensive analysis of applicable research published between 2008 and 2021 was conducted using the PubMed, Cochrane, Web of Science, Wanfang, and CNKI databases. Extracted odds ratios from the randomized-controlled studies were pooled using fixed-effects meta-analysis. Publication bias was addressed through evaluation methods such as funnel plot or sensitivity analysis. Results: Ten studies with a total of 58,992 individuals were included. The consequences of this meta-analysis confirmed that, compared to normal body mass index, patients with acute coronary syndrome significantly increased the risk of major adverse cardiovascular events (odds ratio= 1.20; 95% confidence interval: 1.12-1.29, p<0.001). Conclusion: Patients with acute coronary syndrome being overweight or obese significantly increased the risk of major adverse cardiovascular events compared to those with normal body mass index. The results suggest that patients may focus on weight management to reduce the risk of major adverse cardiovascular events in acute coronary syndrome.

Indexed as

Acute coronary syndromebody mass indexmajor adverse cardiovascular eventmeta-analysis.

Identifiers

PMID38545361
PMCPMC10964294
OpenAlexW4391759041

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.