Evidence map›Paper›PMID 39064269›Full record

ReviewJournal of clinical medicine2024

Antiplatelet Therapy for Elderly Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention.

Vincenzo Fioretti, Luca Sperandeo, Donato Gerardi, Aldo Di Fazio, Eugenio Stabile

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Age-Stratified Mortality Impact of Atrial Fibrillation in Elderly NSTEMI Patients.Journal of cardiovascular development and disease · 2026
    Article
  2. 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

5 authors.

Vincenzo FiorettiDivision of Cardiology, Cardiovascular Department, Azienda Ospedaliera Regionale "San Carlo", 85100 Potenza, Italy.
Luca SperandeoDepartment of Advanced Biomedical Sciences, Federico II University of Naples, 80131 Naples, Italy.
Donato GerardiDivision of Cardiology, Cardiovascular Department, Azienda Ospedaliera Regionale "San Carlo", 85100 Potenza, Italy.
Aldo Di FazioRegional Complex Intercompany Institute of Legal Medicine, Azienda Ospedaliera Regionale "San Carlo", 85100 Potenza, Italy.
Eugenio StabileDivision of Cardiology, Cardiovascular Department, Azienda Ospedaliera Regionale "San Carlo", 85100 Potenza, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The elderly represent an increasing proportion of patients presenting with acute coronary syndrome (ACS). Various data have shown that the benefits of percutaneous coronary revascularization are maintained in elderly patients presenting with ACS. Conversely, the management of antiplatelet therapy remains challenging and controversial, because older patients are usually at a high risk of both ischemia and bleeding. Moreover, the recommended ischemic and bleeding risk scores in patients with ACS were developed from studies with a low representation of older patients. New antiplatelet strategies have been developed, but their evidence in elderly patients is limited because they are usually underrepresented in randomized clinical trials due to their clinical complexity. The aim of this review is to summarize the different factors associated with increased ischemic and/or bleeding risk and the scientific evidence about the different antiplatelet strategies in elderly patients presenting with ACS and undergoing percutaneous coronary revascularization.

Indexed as

acute coronary syndromeantiplateletselderlypercutaneous coronary intervention

Identifiers

PMID39064269
PMCPMC11277659

What OpenQuestion holds

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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.