Evidence map›Paper›PMID 41877706›Full record

ArticleVascular health and risk management2026

Utility of Novel Lipid Parameters for Risk Stratification in Patients with Diabetes and STEMI-from a Prospective Study.

Xiaoxiao Zhao, Runzhen Chen, Jiannan Li, Jinying Zhou, Nan Li, Linghan Xue, Shaodi Yan, Chen Liu, Peng Zhou, Yi Chen and 3 more

Abstract read
In one paragraph

Article in Vascular health and risk management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Xiaoxiao ZhaoDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Runzhen ChenDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, People's Republic of China.ORCID 0000-0003-1139-495X
Jiannan LiDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Jinying ZhouDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Nan LiDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Linghan XueDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Shaodi YanFuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen, People's Republic of China.
Chen LiuDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Peng ZhouDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Yi ChenDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Li SongDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Hanjun ZhaoDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Hongbing YanDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, People's Republic of China.ORCID 0000-0002-2031-6438

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Abnormalities in glucose and lipid metabolism are prevalent among individuals suffering from myocardial infarction, with insulin resistance playing an integral role in these pathological processes. This study aims to follow up on incident ischemic stroke events to evaluate whether any alterations in risk estimation merit a reassessment of therapeutic strategies. Herein, we present findings derived from a prospective cohort engaged in this ongoing investigation. Material and Methods: In our analysis, three novel lipid biomarkers-namely proprotein convertase subtilisin/kexin type 9, fatty acid-binding protein 4, and Resolvin D1-emanating from diverse pathophysiological pathways were meticulously evaluated alongside six conventional lipid parameters within a population cohort comprising 1580 individuals, both diabetic and non-diabetic. Results: 1) Furthermore, among DM patients, group 1 (0-1 lipid parameters increased) and group 2 (2-4 lipid parameters increased) had significantly better ischemic stroke-free survival than other groups (p=0.025) when TyG index ≥median. 2) Adding novel lipid associated parameters and TyG index to the conventional lipid risk factors model in the cohort validated it by improved net reclassification index (p<0.05) and integrated discrimination improvement and led to significant reclassification of individuals into risk categories. Conclusion: The incorporation of a biomarker score that encompasses innovative lipid-associated biomarkers alongside the TyG index into a traditional risk assessment framework significantly enhanced the evaluation of ischemic stroke events within myocardial infarction populations afflicted by diabetes mellitus.

Indexed as

Diabetes MellitusDyslipidemiasIschemic StrokeLipidsST Elevation Myocardial InfarctionAgedBiomarkersFatty Acid-Binding ProteinsFemaleHumansIncidenceMaleMiddle AgedPredictive Value of TestsPrognosisProgression-Free SurvivalBiomarkersFatty Acid-Binding ProteinsLipidsPCSK9 protein, humanProprotein Convertase 9fatty acid-binding protein 4ischemic strokelipid parametersmyocardial infarctionproprotein convertase subtilisin/kexin type 9Resolvin D1triglyceride–glucose index

Identifiers

PMID41877706
PMCPMC13006554

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Texttitle and abstract
LicenceCC BY-NC
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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.