Evidence map›Paper›PMID 40866930›Full record

ArticleBMC medicine2025

Risk stratification and outcomes in diabetes mellitus patients with preserved ejection fraction: a cardiac MRI study.

Wenjing Yang, Mengdi Jiang, Huaying Zhang, Di Zhou, Yining Wang, Leyi Zhu, Zhaoxin Tian, Gang Yin, Qiang Zhang, Arlene Sirajuddin and 3 more

Abstract read
In one paragraph

Article in BMC medicine, 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. Review
  2. Review
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.

Wenjing Yang *Departments of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Beijing, 100037, China.
Mengdi Jiang *Departments of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Beijing, 100037, China.
Huaying ZhangDepartments of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Beijing, 100037, China.
Di ZhouDepartments of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Beijing, 100037, China.
Yining WangDepartments of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Beijing, 100037, China.
Leyi ZhuDepartments of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Beijing, 100037, China.
Zhaoxin TianDepartments of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Beijing, 100037, China.
Gang YinDepartments of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Beijing, 100037, China.
Qiang ZhangOxford Centre for Clinical Magnetic Resonance Research, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Arlene SirajuddinDepartment of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Andrew E AraiDivision of Cardiovascular Medicine and Department of Radiology, University of Utah School of Medicine, Salt Lake City, UT, USA.
Shihua ZhaoDepartments of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Beijing, 100037, China.
Minjie LuDepartments of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Road, Beijing, 100037, China. coolkan@163.com.

Funding

Beijing Natural Science Foundation 7242110National High Level Hospital Clinical Research Funding 2022-GSP-QZ-5National Natural Science Foundation of China 82471973
6 · The paper itself

Abstract

backgroundPatients with diabetes mellitus (DM) have a significantly increased risk of developing heart failure (HF), which exacerbates adverse cardiovascular outcomes. Limited data are available on the prognostic value of cardiac MRI in DM. We aimed to evaluate the association between MRI-derived strain analysis and adverse outcomes in DM patients at different heart failure (HF) stages.

methodsIn this prospective study, DM participants with preserved ejection fraction (EF) underwent MRI examination between January 2019 and December 2021 were evaluated. Feature tracking strain parameters were measured using cine MRI. The primary outcome was a composite outcome including HF hospitalization or cardiovascular death. Cox proportional regression was used to assess the association between risk factors and outcomes.

resultsA total of 581 DM participants (mean age, 56 years ± 13; 401 men) including 390 asymptomatic patients (stage A/B HF) and 191 heart failure with preserved EF were evaluated. After a median follow-up of 34.3 months, 74 DM patients reached the primary outcome; 13(2.2%) had cardiovascular mortality and 61(10.5%) had heart failure hospitalization. Kaplan-Meier survival curves showed that patients with global longitudinal strain (GLS) greater than or equal to -13.76% and patients with global early diastolic longitudinal strain rate (eGLSR) less than or equal to 0.51/s were more likely to experience the primary outcome (log-rank P < 0.001). In multivariable analysis, eGLSR was independently associated with an increased risk of the primary endpoint(per SD, adjusted HR: 2.038; 95% CI: 1.384-3.002; P < 0.001), but GLS was not. When risk stratification was based on GLS and eGLSR, Kaplan-Meier survival curves showed that patients with abnormal eGLSR had a significantly higher risk of adverse outcomes, regardless of GLS status. In addition, eGLSR provided incremental predictive power over clinical and imaging variables, achieving the largest C-statistic of 0.744. Of note, the association between eGLSR and outcomes was consistent in stage A/B HF patients and patients with HFpEF. Subgroup analysis showed non-ischemic LGE assessed by MRI was also independently associated with outcomes in patients with DM.

conclusionsIn DM patients with preserved ejection fraction, left ventricular eGLSR measured by cardiac MRI was an independent predictor of adverse outcomes and offered incremental prognostic value over conventional clinical and imaging indices.

Indexed as

Diabetes MellitusHeart FailureMagnetic Resonance Imaging, CineStroke VolumeAgedFemaleHospitalizationHumansMagnetic Resonance ImagingMaleMiddle AgedPrognosisProspective StudiesRisk AssessmentCardiac MRIDiabetes mellitusFeature trackingGlobal early diastolic longitudinal strain ratePrognosis

Identifiers

PMID40866930
PMCPMC12392487

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