Evidence map›Paper›PMID 28213881›Full record

ArticleFrontiers of medicine2017

Poor adherence to P2Y12 antagonists increased cardiovascular risks in Chinese PCI-treated patients.

Yang Sun, Chenze Li, Lina Zhang, Dong Hu, Xudong Zhang, Ting Yu, Min Tao, Dao Wen Wang, Xiaoqing Shen

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Frontiers of medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04861363 (Follow up of Ticagrelor Treatment Patterns in Chinese Acute Coronary Syndromes Patients- A Database Retrospective Study), which is not on this map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–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.

NCT04861363 unknown statusnot on this mapstarted 2019, after this paper: background citation

Follow up of Ticagrelor Treatment Patterns in Chinese Acute Coronary Syndromes Patients- A Database Retrospective Study

TypeobservationalSponsorPeking University First HospitalRan2019 to 2021Enrolled20,000ConditionsAcute Coronary Syndrome
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
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

9 authors.

Yang SunDivision of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Chenze LiDivision of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Lina ZhangDivision of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Dong HuDivision of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Xudong ZhangDivision of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Ting YuDivision of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Min TaoDivision of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Dao Wen WangDivision of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. dwwang@tjh.tjmu.edu.cn.
Xiaoqing ShenDivision of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. xnksxq@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low adherence to secondary prevention medications (ATM) of patients after acute coronary syndrome (ACS) is associated with poor clinical outcomes. However, literature provides limited data on assessment of ATM and risks associated with poor in Chinese patients with ACS. In the current work, ATM was assessed in consecutively recruited patients with ACS in Tongji Hospital from November 5, 2013 to December 31, 2014. A total of 2126 patients were classified under low adherence (proportion of days covered (PDC) C< 50%) and high adherence (PDC>50%) groups based on their performance after discharge. All patients were followed up at the 1st, 6th, and 12th month of discharge while recording ATM and major adverse cardiac events (MACE). Bivariate logistic regression was used to identify the factors associated with ATM. Cox regression was used to analyze the association between ATM and MACE within one year after discharge. Results showed that coronary artery bypass grafting (CABG) alone had significantly lower proportion of high adherence to P2Y12 antagonists (83.0% vs. 90.7%, P < 0.01) than patients treated with percutaneous coronary intervention (PCI) only. Moreover, in patients undergoing PCI, high adherence to P2Y12 antagonists decreased the risk of MACE (hazard ratio = 0.172, 95% confidence interval: 0.039-0.763; P = 0.021). In conclusion, PCI-treated patients are more prone to remaining adherent to medications than CABG-treated patients. High adherence to P2Y12 antagonists was associated with lower risk of MACE.

Indexed as

Coronary Artery BypassDrug MonitoringPercutaneous Coronary InterventionAcute Coronary SyndromeAdenosineAgedChinaClopidogrelFemaleFollow-Up StudiesHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisPractice Guidelines as TopicAdenosineClopidogrelPurinergic P2Y Receptor AntagonistsTicagrelorTiclopidineacute coronary syndromesadherence to secondary prevention medicationsclinical outcome

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Registered trials

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.