Evidence map›Paper›PMID 41524288›Full record

ArticleClinical cardiology2026

Changes of Serum CTRP12 in Patients With Coronary Artery Disease After the Treatment of Percutaneous Coronary Intervention and Its Relationship With In-Stent Restenosis.

Botao Zhao, Yuchao Shen

Abstract read
In one paragraph

Article in Clinical cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

2 authors.

Botao ZhaoDepartment of Cardiology, Cangzhou Central Hospital, Cangzhou, Hebei, China.ORCID https://orcid.org/0009-0001-5739-1298
Yuchao ShenDepartment of Emergency Brain Academy District, Cangzhou Central Hospital, Cangzhou, Hebei, China.

Funding

Hebei Provincial Health Commission Project 20261302
6 · The paper itself

Abstract

backgroundC1q/tumor necrosis factor-related protein 12 (CTRP12) plays a protective role in coronary artery disease (CAD) by reducing vascular inflammation. Whether CTRP12 could predict the occurrence of CAD and in-stent restenosis (ISR) occurrence after percutaneous coronary intervention (PCI) treatment remains unknown.

methodsThis retrospective cohort study included patients with CAD who underwent PCI and had serum samples collected at baseline, 24 h, and 72 h post-PCI. The Gensini score was used to assess the severity of coronary artery stenosis. Serum CTRP12 levels were measured using an ELISA kit. Follow-up evaluation of ISR was performed using coronary angiography.

resultsSerum CTRP12 levels were significantly lower in CAD patients than healthy controls (p < 0.001). A negative correlation was found between CTRP12 levels and both the Gensini score (r = -0.37, p < 0.001) and hs-CRP levels (r = -0.43, p < 0.001). Dynamic analysis revealed a significant reduction in CTRP12 levels 24 h post-PCI, with partial recovery observed at 72 h, although levels remained lower than baseline. Patients with ISR consistently demonstrated lower CTRP12 levels than those without ISR (NISR) at all time points. Receiver operating characteristic curve analysis indicated that CTRP12 levels at 24 h post-PCI exhibited the highest predictive accuracy for ISR occurrence.

conclusionSerum CTRP12 level may serve as a potential biomarker for diagnosing CAD and predicting ISR occurrence, with significant correlations to disease severity and dynamic changes after PCI.

Indexed as

AdipokinesCoronary Artery DiseaseCoronary RestenosisPercutaneous Coronary InterventionStentsAgedBiomarkersCoronary AngiographyEnzyme-Linked Immunosorbent AssayFemaleFollow-Up StudiesHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesAdipokinesBiomarkersC1QTNF12 protein, humanC1q/tumor necrosis factor‐related proteincoronary artery diseasein‐stent restenosispercutaneous coronary interventionprediction

Identifiers

PMID41524288
PMCPMC12794282

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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.