Evidence map›Paper›PMID 40137087›Full record

ArticleJournal of cardiovascular development and disease2025

Incidence and Risk Factors for Developing Type 2 Diabetes Mellitus After Acute Myocardial Infarction-A Long-Term Follow-Up.

Tamara Yakubov, Muhammad Abu Tailakh, Arthur Shiyovich, Harel Gilutz, Ygal Plakht

Abstract read
In one paragraph

Article in Journal of cardiovascular development and disease, 2025. 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. 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

5 authors.

Tamara YakubovDepartment of Nursing, Recanati School for Community Health Professions, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva 84101, Israel.
Muhammad Abu TailakhDepartment of Nursing, Recanati School for Community Health Professions, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva 84101, Israel.ORCID 0000-0003-3770-0927
Arthur ShiyovichDepartment of Cardiology, Rabin Medical Center, Petach Tikva 49414, Israel.ORCID 0000-0001-7316-1882
Harel GilutzGoldman Medical School, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva 84101, Israel.ORCID 0000-0001-9543-7528
Ygal PlakhtDepartment of Nursing, Recanati School for Community Health Professions, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva 84101, Israel.ORCID 0000-0003-0898-9776

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myocardial infarction (AMI) and type 2 diabetes mellitus (T2DM) share common risk factors. To evaluate the long-term incidence and predictors of new-onset T2DM (NODM) among post-AMI adults, we conducted a retrospective analysis of AMI survivors hospitalized between 2002 and 2017. Eligible patients were followed for up to 16 years to identify NODM, stratified by demographic and clinical characteristics. Among 5147 individuals (74.2% males, mean age 64.6 ± 14.9 years) without pre-existing T2DM, 23.4% developed NODM (cumulative incidence: 0.541). Key risk factors included an age of 50-60 years, a minority ethnicity (Arabs), smoking, metabolic syndrome (MetS), hemoglobin A1C (HbA1C) ≥ 5.7%, and cardiovascular comorbidities. A total score (TS), integrating these factors, revealed a linear association with the NODM risk: each 1-point increase corresponded to a 1.2-fold rise (95% CI 1.191-1.276,

Indexed as

acute myocardial infarctionincidencelong-term follow-upnew-onset diabetes mellitustype 2 diabetes mellitus

Identifiers

PMID40137087
PMCPMC11942632

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.