Evidence map›Paper›PMID 41978706›Full record

ArticleGlobal cardiology science & practice2025

Echocardiographic predictors of right ventricular failure following left ventricular assist device implantation: Systematic review and meta-analysis.

Shruti Rajendra, Yousuf Salmasi, Espeed Khoshbin

Abstract read
In one paragraph

Article in Global cardiology science & practice, 2025. 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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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

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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

3 authors.

Shruti RajendraNational Heart & Lung Institute, Imperial College, London, UK.
Yousuf SalmasiNational Heart & Lung Institute, Imperial College, London, UK.
Espeed KhoshbinNational Heart & Lung Institute, Imperial College, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRight ventricular failure (RVF) is a significant complication following left ventricular assist device (LVAD) implantation, with no universally accepted predictors. This meta-analysis identifies the most reliable echocardiographic predictors.

methodsOVID Medline was systematically searched for observational studies reporting ten preoperative echocardiographic parameters in patients who did and did not develop RVF post-LVAD. Random-effects meta-analyses were performed. Subgroup analyses and meta-regression assessed the influence of RVF definitions and clinical characteristics on predictive capacity. Logistic regression modeling identified key cutoffs.

resultsThirty-nine studies involving 2,975 patients were included, with pooled RVF prevalence of 0.30 (0.26-0.34). Higher right ventricular end-diastolic diameter (RVEDD) (SMD: 0.368,

Identifiers

PMID41978706
PMCPMC13070235

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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.