Evidence mapPaperPMID 41209116Full record

ReviewReviews in cardiovascular medicine2025

Progress in Prognostic Metabolic Biomarkers for Coronary Artery Disease Patients Post-Percutaneous Coronary Intervention.

Zi-Teng Zhang, Jun-Hui Li, Guo-Qing Qi, Hong-Liang Zhao

Abstract readReview
In one paragraph

Review in Reviews in cardiovascular medicine, 2025. 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

4 authors.

Zi-Teng ZhangHeart Center, The First Hospital of Hebei Medical University, 050031 Shijiazhuang, Hebei, China.ORCID https://orcid.org/0009-0007-0525-0681
Jun-Hui LiHeart Center, The First Hospital of Hebei Medical University, 050031 Shijiazhuang, Hebei, China.ORCID https://orcid.org/0009-0008-6795-8172
Guo-Qing QiHeart Center, The First Hospital of Hebei Medical University, 050031 Shijiazhuang, Hebei, China.ORCID https://orcid.org/0000-0001-5933-6834
Hong-Liang ZhaoHeart Center, The First Hospital of Hebei Medical University, 050031 Shijiazhuang, Hebei, China.ORCID https://orcid.org/0000-0002-1331-8515

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Percutaneous coronary intervention (PCI) has made significant progress as one of the main treatments for coronary artery disease (CAD), but the risk of major adverse cardiovascular events (MACE) after PCI remains high. Therefore, early identification of high-risk CAD patients after PCI and improvement of risk factors are crucial for patient prognosis. Although various prognostic biomarkers related to CAD have been identified, most of them have not been widely applied in clinical practice. Recent studies have found that some simple and easily obtainable metabolic indicators have early predictive value for the prognosis of CAD patients after PCI, mainly including four categories: blood lipids and related metabolites, blood glucose and related metabolites, nutrition-related metabolites, and kidney-related metabolites. This review synthesizes the four aforementioned categories of indicators with the aim of integrating their unique characteristics to enable precise prognostication in patients after PCI, deepen mechanistic insights, and furnish evidence-based guidance for clinical decision-making.

Indexed as

coronary artery disease (CAD)early predictionmetabolic indicatorspost-PCIprognosis

Identifiers

PMID41209116
PMCPMC12593745

What Socratic holds

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Registered trials

None linked

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.