Evidence map›Paper›PMID 36640599›Full record

ArticleThe American journal of cardiology2023

PRECISE-DAPT and ARC-HBR Predict in-Hospital Outcomes in Patients Who Underwent Percutaneous Coronary Intervention.

Vishnu Kadiyala, Sokunvichet Long, Phinnara Has, Fabio V Lima, Charles F Sherrod, Robert Heinl, Michael U Williams, Elizabeth Nowak, Kevin Kennedy, Herbert D Aronow and 1 more

Abstract read
In one paragraph

Article in The American journal of cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. A Practical Nomogram for Predicting the Bleeding Risk in Patients with a History of Myocardial Infarction Treating with Aspirin.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
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

11 authors at 2 institutions in 1 country.

Vishnu KadiyalaDivision of Cardiology, Lifespan Cardiovascular Institute, Warren Alpert Medical School of Brown University, Providence, Rhode Island. Electronic address: vkadiyala@lifespan.org.
Sokunvichet LongDivision of Cardiology, Lifespan Cardiovascular Institute, Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Phinnara HasDivision of Cardiology, Lifespan Cardiovascular Institute, Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Fabio V LimaDivision of Cardiology, Lifespan Cardiovascular Institute, Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Charles F SherrodDivision of Cardiology, Lifespan Cardiovascular Institute, Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Robert HeinlDivision of Cardiology, Lifespan Cardiovascular Institute, Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Michael U WilliamsDivision of Cardiology, Lifespan Cardiovascular Institute, Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Elizabeth NowakDivision of Cardiology, Lifespan Cardiovascular Institute, Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Kevin KennedyStatistical Consultant, Lifespan Cardiovascular Institute, Providence, Rhode Island.
Herbert D AronowDivision of Cardiology, Lifespan Cardiovascular Institute, Warren Alpert Medical School of Brown University, Providence, Rhode Island.
J Dawn AbbottDivision of Cardiology, Lifespan Cardiovascular Institute, Warren Alpert Medical School of Brown University, Providence, Rhode Island. Electronic address: jabbott@lifespan.org.
Brown University · USProvidence College · US

Funding

CARDIOVASCULAR OUTCOMES RESEARCH TRAINING PROGRAMT32HL110837 · NHLBI · UNIVERSITY OF MISSOURI KANSAS CITY · PI JOHN A SPERTUS · 2012 to 2026
$5.0M
NHLBI NIH HHS T32 HL110837
6 · The paper itself

Abstract

Bleeding events result in morbidity and mortality in patients who underwent percutaneous coronary intervention (PCI). There are limited data on the predicting bleeding complications in patients who underwent stent implantation and subsequent dual antiplatelet therapy (PRECISE-DAPT) and Academic Research Consortium for High Bleeding Risk (ARC-HBR) scores' ability to predict in-hospital outcomes in patients who underwent PCI. Consecutive patients who underwent PCI at tertiary centers from January 2016 to March 2018 were identified and the bleeding risk scores were calculated. The primary end point was the National Cardiovascular Data Registry-defined in-hospital bleeding stratified by low versus high predicted bleeding risk. The major and net adverse cardiovascular events were also examined. The discriminatory ability of the risk models was determined using receiver operating characteristic curves. Among 3,659 patients studied, the in-hospital major bleeding was 3.3% (n = 121). The patients characterized as high bleeding risk by either criterion had significantly higher bleeding rates than those meeting the low-risk criteria (ARC-HBR 5.4% vs 3.3%, p <0.001; PRECISE-DAPT 5.8% vs 2.4%, p <0.001), and higher major adverse cardiovascular events and net adverse clinical events. These risk estimates showed moderate and similar predictive ability (ARC-HBR high-risk area under the receiver operating characteristic curve [AUC] 0.62, PRECISE-DAPT ≥25 AUC 0.61, p = 0.49), with no incremental benefit to adding the estimates (AUC 0.60). The subgroup analysis revealed that women had higher bleeding rates than men (5.53% vs 2.39%, p <0.001); however, the predictive ability of the criteria were similar in women and men. The patients identified as having a high bleeding risk by the PRECISE-DAPT and the ARC-HBR criteria before PCI are at high risk for in-hospital bleeding and adverse outcomes independent of gender. The 2 scores have moderate predictive ability for bleeds. Further study is needed to determine strategies to reduce risk in this population.

Indexed as

Cardiovascular DiseasesPercutaneous Coronary InterventionFemaleHemorrhageHumansMalePlatelet Aggregation InhibitorsRisk AssessmentRisk FactorsTreatment OutcomePlatelet Aggregation Inhibitors

Identifiers

PMID36640599
PMCPMC13477236
OpenAlexW4315710053

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.