Evidence map›Paper›PMID 40271216›Full record

ArticleFrontiers in physiology2025

A Systematic Review of risk factors for major adverse cardiovascular events in patients with coronary heart disease who underwent percutaneous coronary intervention.

You Zhai, Hongcai Shang, Yan Li, Nan Zhang, Jisi Zhang, Shangwen Wu

Abstract read
In one paragraph

Article in Frontiers in physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

6 authors.

You ZhaiHenan University of Chinese Medicine, Zhengzhou, Henan, China.
Hongcai ShangKey Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yan LiHenan University of Chinese Medicine, Zhengzhou, Henan, China.
Nan ZhangHenan University of Chinese Medicine, Zhengzhou, Henan, China.
Jisi ZhangHenan University of Chinese Medicine, Zhengzhou, Henan, China.
Shangwen WuThe First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to systematically review the risk factors for major adverse cardiovascular events (MACE) in patients with coronary heart disease who have undergone percutaneous coronary intervention (PCI). Design: Systematic review and meta-analysis. Data sources: The Cochrane Library, PubMed, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang Database, and VIP Database for Chinese Technical Periodicals (VIP) were screened until December 2024. Eligibility criteria for selecting studies: Case-control studies or cohort studies on the risk factors for MACE in patients with coronary heart disease who underwent PCI. Data extraction and synthesis: The literature review, data extraction, and quality evaluation were conducted by two independent researchers, and the meta-analysis was performed using RevMan 5.4 software. Main outcomes: The main outcome was that MACE occurred during the follow-up period. Results: A total of 40 articles were included. The meta-analysis erevealed that dyslipidemia (OR = 1.50; 95% CI [1.19, 1.89], Conclusion: The independent risk factors of MACE after PCI are dyslipidemia, hypertension, diabetes mellitus, smoking history, Killip class > II, LVEF ≤40%, D-to-B time >90 min, TIMI flow grade ≤ II, renal insufficiency, and multivessel disease.

Indexed as

coronary heart diseasemajor cardiovascular adverse eventsmeta-analysispercutaneous coronary interventionrisk factors

Identifiers

PMID40271216
PMCPMC12014560

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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.