Evidence map›Paper›PMID 41413840›Full record

SynthesisCardiovascular ultrasound2025

The predictive value of right ventricle speckle tracking echocardiography in patients undergoing cardiac surgery, a systematic review and meta-analysis.

Ali Saad Al-Shammari, Ahmed Sermed Al Sakini, Mohammed Tarek Hasan, M Rafiqul Islam, Maryam Shahzad, Razan Adib Alsawadi, Shanmukh Sai Pavan Lingamsetty, Ahmed Ibrahim, Mohammed Dheyaa Marsool, Mohammed Elgebaly and 1 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Cardiovascular ultrasound, 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

The trial behind it

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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

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors.

Ali Saad Al-ShammariCollege of Medicine, University of Baghdad, Baghdad, Iraq. Allawy1234@gmail.com.ORCID http://orcid.org/0000-0002-4298-5456
Ahmed Sermed Al SakiniCollege of Medicine, University of Baghdad, Baghdad, Iraq. Ahmed.alsakini11@gmail.com.ORCID http://orcid.org/0009-0006-7740-1453
Mohammed Tarek HasanFaculty of Medicine, Al-Azhar University, Cairo, Egypt.
M Rafiqul IslamDepartment of Internal Medicine, Shaheed Suhrawardy Medical College Hospital, Dhaka, Bangladesh.
Maryam ShahzadDepartment of Internal Medicine, Dow University of Health Sciences, Karachi, Pakistan , Afghanistan.
Razan Adib AlsawadiCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Shanmukh Sai Pavan LingamsettyDepartment of Internal Medicine, Mamata Medical College, Khammam, India.
Ahmed IbrahimFaculty of Medicine, Alexandria University, Alexandria, Egypt.
Mohammed Dheyaa MarsoolResearch Fellow at Mayo clinic, Phoenix/Scottsdale, Arizona, USA.
Mohammed ElgebalyFaculty of Medicine, Beni-Suef University, Beni Suef, Egypt.
Rohit MasihDepartment of Cardiology, Minneapolis Heart Institute, Minnesota, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRight ventricular (RV) dysfunction is a critical predictor of adverse outcomes in cardiac surgery patients. The assessment of right ventricular global longitudinal strain (GLS) echo has emerged as a promising tool for detecting early RV dysfunction. This meta-analysis evaluates the predictive value of RV GLS in these patients.

methodsA comprehensive literature search was conducted. The primary outcomes included pooled diagnostic performance measures, including sensitivity, specificity, and the diagnostic odds ratio (DOR). A multiple-cutoff model was employed to determine the optimal RV-GLS threshold.

resultsTen observational studies involving 583 patients were included. RV-GLS demonstrated strong diagnostic accuracy, with a pooled area under the summary receiver operating characteristic curve (AUC) of 0.90 (95% CI: 0.82-1.00). The pooled DOR was 6.34 (95% CI: 3.20-12.57) with no heterogeneity (I² = 0%). Sensitivity was 0.79 (95% CI: 0.69-0.86; I² = 57.2%) and specificity was 0.78 (95% CI: 0.71-0.84; I² = 20.8%). The risk of publication bias was low (LFK index = 0.6). A multiple-threshold model identified - 15.25% as the optimal RV-GLS cutoff, achieving balanced sensitivity and specificity of 0.7423.

conclusionsRV-GLS demonstrates excellent predictive value for RV dysfunction in cardiac surgery patients.

Indexed as

Cardiac Surgical ProceduresEchocardiographyHeart VentriclesVentricular Dysfunction, RightVentricular Function, RightHumansPredictive Value of TestsEchocardiogramGlobal longitudinal strain (GLS)Right ventricular (RV) dysfunction

Identifiers

PMID41413840
PMCPMC12822055

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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.