Evidence map›Paper›PMID 42518045›Full record

SynthesisEchocardiography (Mount Kisco, N.Y.)2026

Non-Invasive Myocardial Work Indices (GWI, GCW, GWW, and GWE) as Predictors of Clinical Outcomes Across Cardiac Diseases: A Systematic Review and Meta-Analysis.

Jeevarathinam Thirumalai, Mohamed Sahal, Priyanka Bai

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Echocardiography (Mount Kisco, N.Y.), 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

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

3 authors.

Jeevarathinam ThirumalaiDepartment of Paediatric and Neonatal Sciences, Saveetha College of Physiotherapy, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.
Mohamed SahalDepartment of Paediatric and Neonatal Sciences, Saveetha College of Physiotherapy, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.
Priyanka BaiDepartment of Paediatric and Neonatal Sciences, Saveetha College of Physiotherapy, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNon-invasive myocardial work (MW) indices derived from pressure-strain loop analysis, including global work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE), have emerged as novel predictors of clinical outcomes across a broad spectrum of cardiac diseases. The purpose of this systematic review and meta-analysis was to comprehensively synthesize published evidence examining the prognostic value of MW indices for predicting clinical outcomes and their diagnostic performance for identifying disease-specific abnormalities across cardiac conditions, including heart failure, acute coronary syndrome, valvular heart disease, cardiomyopathy, cardiotoxicity in oncology, and cardiac resynchronization therapy response.

methodsA systematic search of PubMed, EMBASE, Cochrane Library, and Web of Science (up to May 2026) identified 24 eligible studies encompassing 4,710 participants. Random-effects inverse-variance models with restricted maximum likelihood (REML) estimation and Hartung-Knapp confidence interval correction were applied. Direction-harmonized hazard ratios (HR), odds ratios (OR), and standardized odds ratios (sOR) were pooled as an exploratory summary of ratio-based effects, such that values exceeding 1.0 consistently indicated higher clinical risk with an adverse MW profile, while the HR-only model was retained as the principal prognostic sensitivity analysis. Quality was assessed using the Newcastle-Ottawa Scale and the GRADE framework.

resultsThe primary pooled analysis yielded a random-effects estimate of 1.12 (95% CI: 0.99-1.27); however, substantial heterogeneity was observed (I

conclusionMW indices may provide prognostic and diagnostic information across multiple cardiac diseases; however, individual indices appear to reflect distinct physiological mechanisms and may demonstrate disease-specific prognostic utility. Given the substantial heterogeneity across disease populations, disease-focused interpretation may be more informative than reliance on an overall pooled estimate. These non-invasive echocardiographic indices may offer incremental value beyond LVEF and GLS for cardiovascular risk stratification and monitoring in selected clinical settings, including chronic cardiovascular disease and cancer therapy-related cardiotoxicity. Prospective multicenter studies are required to standardize optimal cut-off values and support future clinical guideline incorporation.

Indexed as

EchocardiographyHeart DiseasesHumansPredictive Value of TestsPrognosiscardiovascular diseasechronic cardiovascular diseaseechocardiographyglobal wasted workglobal work efficiencyglobal work indexhuman healthmyocardial work indexpressure‐strain looppublic health

Identifiers

PMID42518045
PMCPMC13411654

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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.