Evidence map›Paper›PMID 40353464›Full record

ReviewCurrent cardiology reviews2025

Evolving Strategies in the Detection and Management of Left Ventricular Thrombus: A Clinical Summary.

Mahmoud Abdelnabi, Ramzi Ibrahim, Hoang Nhat Pham, Yehia Saleh, Abdallah Almaghraby

Abstract readReview
In one paragraph

Review in Current cardiology reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mahmoud AbdelnabiDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.
Ramzi IbrahimDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.
Hoang Nhat PhamDepartment of Medicine, University of Arizona, Tucson, AZ, 85721, USA.
Yehia SalehDivision of Cardiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, NY, 10461, USA.
Abdallah AlmaghrabyDepartment of Cardiology, Ibrahim Bin Hamad Obaidallah Hospital, Ras Al Khaimah, UAE.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements have emerged in understanding the epidemiology and optimal therapeutic options for left ventricular thrombi (LVT). With early percutaneous interventions in acute myocardial infarction, the prevalence of LVT has decreased. However, the best strategies for prevention, risk stratification, and management remain unclear, especially among nonischemic cardiomyopathy disorders. This review outlines these advancements and provides an overview of the diagnostic and therapeutic implications of LVT in ischemic and non-ischemic cardiomyopathies. Significant gaps in the current evidence persist, particularly regarding the optimal timing for LVT screening and the need for prophylactic anticoagulation, highlighting opportunities for prospective cohort studies. Furthermore, a better understanding of the unique risk factors that contribute to increased LVT risk would lead to more comprehensive algorithms that may quantify the risk of LVT development, aiding in developing preventive strategies targeted at reducing rates of LVT. Until more definitive evidence is available, clinicians should custom LVT screening, preventive measures, and management strategies based on individual patient risk factors.

Indexed as

Heart DiseasesHeart VentriclesThrombosisAnticoagulantsDisease ManagementHumansRisk AssessmentRisk FactorsAnticoagulantsanticoagulationcardiac imagingcardiomyopathiesdirect oral anticoagulantsLeft ventricular thrombi (LVT)stroke.thromboembolic events

Identifiers

PMID40353464
PMCPMC12676046

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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.