Evidence map›Paper›PMID 40927100›Full record

ArticleReviews in cardiovascular medicine2025

Development Track of Compliance With Dual Antiplatelet Therapy and Analysis of Potential Categories in Patients With ACS After PCI.

Xiaoqing Zheng, Ya Wang, Hongxing Wang, Minfang Guan, Xiaosong Chen, Shasha Li, Wanluan Zhang, Jiamiao Hu, Qiaoling Ye, Qinhong Xu

Abstract read
In one paragraph

Article 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
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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

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

10 authors.

Xiaoqing ZhengCardiovascular Internal Medicine Ward, The First Affiliated Hospital of Ningbo University, 315000 Ningbo, Zhejiang, China.ORCID https://orcid.org/0009-0006-7404-4948
Ya WangCardiovascular Internal Medicine Ward, The First Affiliated Hospital of Ningbo University, 315000 Ningbo, Zhejiang, China.ORCID https://orcid.org/0000-0001-8932-8413
Hongxing WangCardiovascular Internal Medicine Ward, The First Affiliated Hospital of Ningbo University, 315000 Ningbo, Zhejiang, China.ORCID https://orcid.org/0009-0004-0032-5195
Minfang GuanCardiovascular Internal Medicine Ward, The First Affiliated Hospital of Ningbo University, 315000 Ningbo, Zhejiang, China.ORCID https://orcid.org/0009-0004-3397-9259
Xiaosong ChenCardiovascular Internal Medicine Ward, The First Affiliated Hospital of Ningbo University, 315000 Ningbo, Zhejiang, China.ORCID https://orcid.org/0009-0007-0967-1766
Shasha LiCardiovascular Internal Medicine Ward, The First Affiliated Hospital of Ningbo University, 315000 Ningbo, Zhejiang, China.ORCID https://orcid.org/0009-0003-6514-2106
Wanluan ZhangCardiovascular Internal Medicine Ward, The First Affiliated Hospital of Ningbo University, 315000 Ningbo, Zhejiang, China.ORCID https://orcid.org/0000-0001-8757-1161
Jiamiao HuCardiovascular Internal Medicine Ward, The First Affiliated Hospital of Ningbo University, 315000 Ningbo, Zhejiang, China.ORCID https://orcid.org/0009-0005-1985-6540
Qiaoling YeCardiovascular Internal Medicine Ward, Cixi Longshan Hospital, 315300 Cixi, Zhejiang, China.ORCID https://orcid.org/0009-0003-2064-5367
Qinhong XuNursing Department, The First Affiliated Hospital of Ningbo University, 315000 Ningbo, Zhejiang, China.ORCID https://orcid.org/0000-0002-4378-930X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To explore the potential categories of compliance development track of dual antiplatelet therapy (DAPT) after percutaneous coronary intervention (PCI) in patients with acute coronary syndrome (ACS) using growth mixture modeling (GMM) to analyze its predictive factors, providing evidence for dynamic adherence monitoring and tailored interventions. Methods: A total of 150 patients with ACS after PCI were selected by convenience sampling. Patients were studied using Self-Efficacy for Appropriate Medication Use Scale (SEAMS), family APGAR index (APGAR), Generalized Anxiety Disorder-2 (GAD-2), and Patient Health Questionnaire-2 (PHQ-2) at baseline. The compliance of patients with DAPT was assessed using Morisky Medication Adherence Scales-8 (MMAS-8) at 1, 3, 6, 9, and 12 months after discharge. The mixed model of latent variable growth was used to identify the development track of compliance. Multiple logistic regression was used to analyze the predictive factors of different development track categories. Results: Two development track categories of DAPT compliance in patients with ACS after PCI were identified in the low compliance-decreased group (7.41%) and the persistent high compliance group (92.59%). Multivariate logistic regression analysis showed that age ≥60 years, body mass index (BMI), and the family APGAR index were the predictive factors of different development track categories of DAPT compliance in patients with ACS after PCI. Conclusion: Significant population heterogeneity was observed in the development track of DAPT in ACS patients within 12 months after PCI. The compliance of most patients remained stable, and only a few remained at a low level and showed a significant downward trend. Based on these predictive factors, healthcare personnel can identify patients in the low compliance-decreased group early and implement targeted and specific interventions to improve DAPT compliance of ACS patients after PCI.

Indexed as

development trackdual anti-platelet therapygrowth mixture modeling (GMM)percutaneous coronary interventionpotential categories

Identifiers

PMID40927100
PMCPMC12415740

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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.