Evidence map›Paper›PMID 42164728›Full record

ArticleCardiovascular diagnosis and therapy2026

Five-year retrospective analysis of invasive

Arif Timuroglu, Imran Ceren

Abstract read
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Article in Cardiovascular diagnosis and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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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

2 authors.

Arif TimurogluDepartment of Anesthesiology, Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, Ankara, Turkey.ORCID https://orcid.org/0000-0003-4100-5505
Imran CerenDepartment of Cardiology, Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, Ankara, Turkey.ORCID https://orcid.org/0000-0003-0044-7681

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Management of non-ST segment elevation myocardial infarction (NSTE-MI) in critically ill cancer patients is challenging due competing risks such as bleeding, thrombocytopenia, organ dysfunction, and overall frailty. Evidence guiding the choice between interventional and pharmacological treatment strategies in this high-risk population is limited. This study aimed to compare in-hospital outcomes between interventional and pharmacological treatment strategies in critically ill cancer patients who developed NSTE-MI during intensive care unit follow-up. Methods: This retrospective study was conducted in the intensive care unit of Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, a tertiary referral center, between January 2020 and December 2024. All consecutive adult patients with an active or prior cancer diagnosis who developed non-ST-elevation myocardial infarction (MI) during their intensive care unit (ICU) stay were included. Patients with ST-elevation MI or incomplete medical records precluding confirmation of diagnosis or outcome assessment were excluded. Patients were managed according to the initial treatment strategy determined by the treatment team. Demographics, clinical parameters, and in-hospital mortality rates were analyzed. Multivariable logistic regression was performed to identify factors independently associated with in-hospital mortality, acknowledging that causality cannot be inferred due to the study design. Results: A total of 99 patients were included; 39 underwent interventional management and 60 received pharmacological therapy. Pharmacologically treated patients more often had elevated serum creatinine, hemodynamic instability, and a history of recent cancer surgery. Among the interventional group, 12 patients underwent percutaneous coronary intervention (PCI), with a mortality rate of 16.7%. Overall, hospital mortality was observed lower in the interventional group compared with the pharmacological group (13/39, 33.3% Conclusions: In this retrospective analysis, an interventional treatment strategy was associated with lower in-hospital mortality in critically ill cancer patients with NSTE-MI. When clinically feasible, this approach may provide a survival benefit; however, prospective studies are needed to confirm these findings and optimize patient selection and treatment strategies in this high-risk population.

Indexed as

critical caremalignancyNon-ST-elevated myocardial infarction

Identifiers

PMID42164728
PMCPMC13184918

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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.