Evidence map›Paper›PMID 41068244›Full record

ArticleScientific reports2025

Association between isolated minor ST-segment and T wave changes with 10 years all-cause and stroke mortality.

Sara Saffar Soflaei, Farima Farsi, Alireza Heidari-Bakavoli, Marzieh Kohantorabi, Parsa Mearaji Far, Reza Eftekhar, Reyhaneh Saffar-Khorasani, Habibollah Esmaily, Gordon A Ferns, Mohesn Moohebati and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 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

13 authors.

Sara Saffar Soflaei *Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, 99199-91766, Iran.
Farima Farsi *Obesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Alireza Heidari-BakavoliHeart and Vascular Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Marzieh KohantorabiMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, 99199-91766, Iran.
Parsa Mearaji FarMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, 99199-91766, Iran.
Reza EftekharMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, 99199-91766, Iran.
Reyhaneh Saffar-KhorasaniMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, 99199-91766, Iran.
Habibollah EsmailyDepartment of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Gordon A FernsDivision of Medical Education, Brighton and Sussex Medical School, Brighton, UK.
Mohesn MoohebatiMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, 99199-91766, Iran.
Majid Ghayour MobarhanMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, 99199-91766, Iran.
Mohsen MoohebatiHeart and Vascular Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. MouhebatiM@mums.ac.ir.
Majid Ghayour-MobarhanMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, 99199-91766, Iran. ghayourmobarhan@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minor ST segment and T wave (ST-T) abnormalities are commonly seen on the resting electrocardiograms (ECGs) of healthy individuals, but the long-term effects of these findings, particularly in the general population, have not been thoroughly assessed. As a result, our objective was to examine the link between isolated minor ST-T abnormalities in the general population and mortality from both cardiac and non-cardiac causes. The ECGs of 9035 participants within the Mashhad stroke and heart atherosclerotic disorders (MASHAD) study were evaluated. This was followed by a monitoring period of over a decade to investigate mortality results. The electrocardiograms were analyzed for ST-segment and T-wave irregularities using the Minnesota Codes classification system. Kaplan-Meier survival analysis was utilized to compare mortality rates for cardiovascular disorder (CVD), coronary heart disease (CHD), stroke, and all-cause death between cohorts with ECG alterations and those without. Individuals exhibiting isolated minor ST-T changes were predominantly female (p < 0.001), had a higher prevalence of diabetes mellitus (p = 0.031), and were more likely to be unemployed (p = 0.001). No significant differences were observed in age, marital status, educational attainment, smoking status, body mass index, dyslipidemia, and hypertension between the groups. Isolated minor ST-T abnormalities were identified as significant predictors of stroke mortality (p = 0.017). The presence of these ECG changes did not correspond to an increased risk of cardiovascular disease (CVD) or coronary heart disease (CHD) mortality. Upon adjustment for gender, employment status, and diabetes mellitus, the association between minor ST-T changes and all-cause mortality was p = 0.050. Individuals with isolated minor ST-T abnormalities were more likely to die from stroke. Therefore, it is advisable to implement preventive measures for the affected population, particularly women and individuals with diabetes, who are at higher risk of experiencing these ECG changes. Additionally, it is important to closely monitor the clinical status of those affected.

Indexed as

ElectrocardiographyStrokeAdultAgedFemaleHumansKaplan-Meier EstimateMaleMiddle AgedRisk FactorsAll-cause mortalityDiabetes mellitusStroke-cause mortalityST-T abnormalities

Identifiers

PMID41068244
PMCPMC12511273

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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.