Evidence map›Paper›PMID 33107944›Full record

Observational studyJAMA2020

Association of Ticagrelor vs Clopidogrel With Net Adverse Clinical Events in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention.

Seng Chan You, Yeunsook Rho, Behnood Bikdeli, Jiwoo Kim, Anastasios Siapos, James Weaver, Ajit Londhe, Jaehyeong Cho, Jimyung Park, Martijn Schuemie and 8 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in JAMA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 11 pooled it
18.4field-weighted citation impact, top 1% of its field
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

91 citing papers in PubMed, 11 syntheses or guidelines pooled it, 177 citations in OpenAlex.

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31 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 11 institutions in 2 countries.

Seng Chan YouDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
Yeunsook RhoObservational Health Data Sciences and Informatics, New York, New York.
Behnood BikdeliObservational Health Data Sciences and Informatics, New York, New York.
Jiwoo KimObservational Health Data Sciences and Informatics, New York, New York.
Anastasios SiaposObservational Health Data Sciences and Informatics, New York, New York.
James WeaverObservational Health Data Sciences and Informatics, New York, New York.
Ajit LondheObservational Health Data Sciences and Informatics, New York, New York.
Jaehyeong ChoObservational Health Data Sciences and Informatics, New York, New York.
Jimyung ParkObservational Health Data Sciences and Informatics, New York, New York.
Martijn SchuemieObservational Health Data Sciences and Informatics, New York, New York.
Marc A SuchardObservational Health Data Sciences and Informatics, New York, New York.
David MadiganObservational Health Data Sciences and Informatics, New York, New York.
George HripcsakObservational Health Data Sciences and Informatics, New York, New York.
Aakriti GuptaObservational Health Data Sciences and Informatics, New York, New York.
Christian G ReichObservational Health Data Sciences and Informatics, New York, New York.
Patrick B RyanObservational Health Data Sciences and Informatics, New York, New York.
Rae Woong ParkDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
Harlan M KrumholzCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut.
Ajou University · KRHealth Insurance Review and Assessment Service · KRIQVIA (United States) · USJanssen (United States) · USUniversity of California, Los Angeles · USAmgen (United States) · USCardiovascular Research Foundation · USColumbia University · USColumbia University Irving Medical Center · USNewYork–Presbyterian Hospital · USYale New Haven Hospital · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
DISCOVERING AND APPLYING KNOWLEDGE IN CLINICAL DATABASESR01LM006910 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HRIPCSAK, GEORGE M · 2000 to 2023
$10.6M
NCATS NIH HHS UL1 TR001863NLM NIH HHS R01 LM006910
6 · The paper itself

Abstract

Importance: Current guidelines recommend ticagrelor as the preferred P2Y12 platelet inhibitor for patients with acute coronary syndrome (ACS), primarily based on a single large randomized clinical trial. The benefits and risks associated with ticagrelor vs clopidogrel in routine practice merits attention. Objective: To determine the association of ticagrelor vs clopidogrel with ischemic and hemorrhagic events in patients undergoing percutaneous coronary intervention (PCI) for ACS in clinical practice. Design, Setting, and Participants: A retrospective cohort study of patients with ACS who underwent PCI and received ticagrelor or clopidogrel was conducted using 2 United States electronic health record-based databases and 1 nationwide South Korean database from November 2011 to March 2019. Patients were matched using a large-scale propensity score algorithm, and the date of final follow-up was March 2019. Exposures: Ticagrelor vs clopidogrel. Main Outcomes and Measures: The primary end point was net adverse clinical events (NACE) at 12 months, composed of ischemic events (recurrent myocardial infarction, revascularization, or ischemic stroke) and hemorrhagic events (hemorrhagic stroke or gastrointestinal bleeding). Secondary outcomes included NACE or mortality, all-cause mortality, ischemic events, hemorrhagic events, individual components of the primary outcome, and dyspnea at 12 months. The database-level hazard ratios (HRs) were pooled to calculate summary HRs by random-effects meta-analysis. Results: After propensity score matching among 31 290 propensity-matched pairs (median age group, 60-64 years; 29.3% women), 95.5% of patients took aspirin together with ticagrelor or clopidogrel. The 1-year risk of NACE was not significantly different between ticagrelor and clopidogrel (15.1% [3484/23 116 person-years] vs 14.6% [3290/22 587 person-years]; summary HR, 1.05 [95% CI, 1.00-1.10]; P = .06). There was also no significant difference in the risk of all-cause mortality (2.0% for ticagrelor vs 2.1% for clopidogrel; summary HR, 0.97 [95% CI, 0.81-1.16]; P = .74) or ischemic events (13.5% for ticagrelor vs 13.4% for clopidogrel; summary HR, 1.03 [95% CI, 0.98-1.08]; P = .32). The risks of hemorrhagic events (2.1% for ticagrelor vs 1.6% for clopidogrel; summary HR, 1.35 [95% CI, 1.13-1.61]; P = .001) and dyspnea (27.3% for ticagrelor vs 22.6% for clopidogrel; summary HR, 1.21 [95% CI, 1.17-1.26]; P < .001) were significantly higher in the ticagrelor group. Conclusions and Relevance: Among patients with ACS who underwent PCI in routine clinical practice, ticagrelor, compared with clopidogrel, was not associated with significant difference in the risk of NACE at 12 months. Because the possibility of unmeasured confounders cannot be excluded, further research is needed to determine whether ticagrelor is more effective than clopidogrel in this setting.

Indexed as

Percutaneous Coronary InterventionAcute Coronary SyndromeAdultAgedAged, 80 and overAlgorithmsAspirinCase-Control StudiesCause of DeathClopidogrelDatabases, FactualDyspneaFemaleHemorrhageHumansIschemiaAspirinClopidogrelPurinergic P2Y Receptor AntagonistsTicagrelor

Identifiers

PMID33107944
PMCPMC7592033
OpenAlexW3093863109

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.