Evidence map›Paper›PMID 41552717›Full record

ArticleAmerican heart journal plus : cardiology research and practice2025

Comparison of all-cause and cause-specific mortality after myocardial infarction - a Hungarian registry study.

Tamás Ferenci, András Jánosi

Abstract read
In one paragraph

Article in American heart journal plus : cardiology research and practice, 2025. 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
–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

1 citing paper in PubMed.

  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

2 authors.

Tamás FerenciPhysiological Controls Research Center, Obuda University, Budapest, Hungary.
András JánosiGottsegen National Cardiovascular Center, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study Objective: Despite advances, myocardial infarction remains a significant public health concern, with survival being a crucial outcome measure. While all-cause mortality is well-studied, less is known about causes of death following an infarction. This study aimed to analyse cause-specific mortality after myocardial infarction and to compare it with the analysis of all-cause mortality. Design: Data from a nationwide Hungarian myocardial infarction registry from January 2020 to June 2022 were linked with official cause of death information. Cumulative incidence functions and multivariable modelling of subdistribution hazard were used for cause-specific survival analysis, accounting for competing risks. Standard all-cause survival analysis (Cox proportional hazards model) was also carried out as a comparison. Results: Among 27,965 patients with acute myocardial infarction, 25.0 % died during follow-up (of a median of 661 days). Myocardial infarction was the primary cause of death in 38.6 % of cases, followed by other cardiovascular causes (37.5 %). Factors associated with higher cause-specific mortality for infarction included older age, male sex, ST-elevation infarction, diabetes, prior stroke, peripheral artery disease, and heart failure. Percutaneous coronary intervention and hypertension was associated with lower hazard. Results largely matched all-cause survival analysis, except for ST-elevation, where hazard was much higher in cause-specific analysis. Conclusions: While overall and cause-specific analyses aligned in this large registry study, a notable difference was observed for ST-elevation infarction, where hazard was substantially higher in the cause-specific analysis. This highlights the potential relevance of distinguishing between causes of death for a more precise understanding of outcomes.

Indexed as

Competing risksMortalityMyocardial infarctionSurvival analysis

Identifiers

PMID41552717
PMCPMC12811747

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Registered trials

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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.