Evidence map›Paper›PMID 40693319›Full record

ArticleCatheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions2025

External Validation of the PRECISE-DAPT Cancer Score in Patients With Acute Myocardial Infarction.

Mohamed Dafaalla, Francesco Costa, Evangelos Kontopantelis, Rodrigo Bagur, Mario Iannaccone, Paolo Bironzo, Sergio Raposeiras Roubí, Ovidio De Filippo, Fabrizio D'Ascenzo, Mamas A Mamas

Abstract readValidation StudyMulticenter StudyComparative Study
In one paragraph

Article in Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Review
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.

Mohamed DafaallaKeele Cardiovascular Research Group, Centre for Prognosis Research, Keele University, Stoke-on-Trent, UK.ORCID 0000-0003-4625-2775
Francesco CostaCardiology Department, University Hospital Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain.ORCID 0000-0002-3097-2834
Evangelos KontopantelisNational Institute for Health Research School for Primary Care Research, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.
Rodrigo BagurLondon Health Sciences Centre, Western University, London, Ontario, Canada.
Mario IannacconeDivision of Cardiology, San Giovanni Bosco Hospital, Torino, Italy.
Paolo BironzoDepartment of Oncology, San Luigi Hospital, University of Turin, Orbassano, Italy.
Sergio Raposeiras RoubíDepartment of Cardiology, Hospital Álvaro Cunqueiro, Vigo, Spain.
Ovidio De FilippoDivision of Cardiology, Cardiovascular and Thoracic Department, "Città della Salute e della Scienza" Hospital, Turin, Italy.
Fabrizio D'AscenzoDepartment of Medical Sciences, University of Turin, Turin, Italy.
Mamas A MamasKeele Cardiovascular Research Group, Centre for Prognosis Research, Keele University, Stoke-on-Trent, UK.

Funding

This study is funded by the National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre (BRC).
6 · The paper itself

Abstract

aimsWe aimed to externally validate the PRECISE-DAPT cancer score which showed better accuracy in predicting bleeding events in patients with cancer than the original PRECISE-DAPT score.

methodsWe used data from the BleeMACS (Bleeding complications in a Multicenter registry of patients discharged after an Acute Coronary Syndrome) project. We compared the performance and clinical usefulness of the original score and the cancer score by calculating the C-statistic, the net reclassification index (NRI), and decision curve analysis.

resultsA total of 13,932 patients were included, of which 864 patients had a diagnosis of cancer at the time of presentation with an AMI. According to the original PRECISE DAPT score, 63.3% of patients with cancer were classified as HBR, whereas 94.9% of patients with cancer were classified as HBR according to the cancer score. Cox-regression models showed that patients classified as HBR by the updated cancer score have higher odds of bleeding (HR 2.6, 95% CI 2.1-3.1) events than patients classified as HBR by the original score (HR 2.2, 95% CI 1.8-2.7). The cancer score showed higher discrimination ability (C-statistic 0.66) than the original score (C-statistic 0.64). The overall NRI of the cancer score was 2.7%. The decision curves analysis showed that the cancer score use is roughly identical to the original score in patients without cancer but superior to the original score in patients with cancer.

conclusionThe PRECISE-DAPT cancer score is a valid and useful tool for the prediction of bleeding risk in patients with cancer and presenting with AMI.

Indexed as

Decision Support TechniquesDual Anti-Platelet TherapyHemorrhageMyocardial InfarctionNeoplasmsPercutaneous Coronary InterventionPlatelet Aggregation InhibitorsAgedAged, 80 and overFemaleHumansMaleMiddle AgedPredictive Value of TestsRegistriesReproducibility of ResultsPlatelet Aggregation InhibitorsAMIPRECISE‐DAPT cancer scorevalidity

Identifiers

PMID40693319
PMCPMC12412353

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Registered trials

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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.