Evidence map›Paper›PMID 42891319›Full record

ArticlePeerJ2026

Nomogram for predicting post-percutaneous coronary intervention restenosis in patients with coronary artery disease and diabetes: a retrospective study.

Ping Wang, Hongyu Peng, Qian Fan, Yuan Shan, Ning Yin

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In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ping WangCenter for Coronary Artery Disease (CCAD), Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Disease, Beijing, China.
Hongyu PengCenter for Coronary Artery Disease (CCAD), Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Disease, Beijing, China.
Qian FanCenter for Coronary Artery Disease (CCAD), Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Disease, Beijing, China.
Yuan ShanCenter for Coronary Artery Disease (CCAD), Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Disease, Beijing, China.
Ning YinCenter for Coronary Artery Disease (CCAD), Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Disease, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronary artery disease (CAD) combined with diabetes mellitus (DM) significantly increases the risk of vascular restenosis following percutaneous coronary intervention (PCI). Despite advancements in stent technology, restenosis remains a concern, especially in diabetic patients. This study aims to predict restenosis risk using serum metabolites and risk factors. Methods: A retrospective analysis was conducted on 272 CAD and type 2 diabetes mellitus (T2DM) patients who underwent PCI between January 2020 and June 2023. Based on one-year angiographic follow-up, patients were divided into restenosis ( Results: Lower HbA1c levels were associated with restenosis (rho = -0.142, Conclusion: This study identified key predictive factors for post-PCI restenosis in CAD patients with DM through case-control analysis. The nomogram model showed good discrimination on internal bootstrap validation. Pending external validation, it may provide a useful exploratory tool to support risk stratification and inform management aimed at reducing the restenosis burden in high-risk cardiovascular populations.

Indexed as

Coronary Artery DiseaseCoronary RestenosisDiabetes Mellitus, Type 2NomogramsPercutaneous Coronary InterventionAgedBiomarkersC-Reactive ProteinFemaleGlycated HemoglobinHumansInsulin-Like Growth Factor IMaleMiddle AgedRetrospective StudiesRisk FactorsBiomarkersC-Reactive ProteinGlycated HemoglobinInsulin-Like Growth Factor ICoronary artery diseaseDiabetes mellitusNomogram prediction modelPercutaneous coronary interventionRestenosis

Identifiers

PMID42891319
PMCPMC13674360

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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.