Evidence mapPaperPMID 40724554Full record

ReviewLife (Basel, Switzerland)2025

Longitudinal Myocardial Deformation as an Emerging Biomarker for Post-Traumatic Cardiac Dysfunction.

Makhabbat Bekbossynova, Timur Saliev, Murat Mukarov, Madina Sugralimova, Arman Batpen, Anar Kozhakhmetova, Zhumagul Sholdanova

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Makhabbat BekbossynovaHeart Center, "University Medical Center" Corporate Fund, Nazarbayev University, Astana 010000, Kazakhstan.
Timur SalievInstitute of Fundamental and Applied Medical Research, S.D. Asfendiyarov Kazakh National Medical University, Tole Bi Street 94, Almaty 050000, Kazakhstan.ORCID 0000-0001-5696-6363
Murat MukarovHeart Center, "University Medical Center" Corporate Fund, Nazarbayev University, Astana 010000, Kazakhstan.ORCID 0000-0003-2854-1952
Madina SugralimovaHeart Center, "University Medical Center" Corporate Fund, Nazarbayev University, Astana 010000, Kazakhstan.ORCID 0000-0001-7388-5717
Arman BatpenNational Scientific Center of Traumatology and Orthopedics Named After Academician N.D. Batpenov, Astana 010000, Kazakhstan.
Anar KozhakhmetovaNational Scientific Center of Traumatology and Orthopedics Named After Academician N.D. Batpenov, Astana 010000, Kazakhstan.
Zhumagul SholdanovaHeart Center, "University Medical Center" Corporate Fund, Nazarbayev University, Astana 010000, Kazakhstan.

Funding

Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan grant «Clinical, functional, and immunological predictors on the severity of asymptomatic post-traumatic myocardial dysfunction in polytrauma study» (grant number AP19678310).
6 · The paper itself

Abstract

Post-traumatic cardiac dysfunction is a clinically under-recognized complication of polytrauma, often occurring in the absence of overt structural injury. Traditional diagnostic tools frequently fail to detect early or subclinical myocardial impairment, underscoring the need for more sensitive assessment methods. This review explores the utility of global longitudinal strain (GLS), derived from speckle-tracking echocardiography (STE), as a sensitive biomarker for identifying and managing cardiac dysfunction following traumatic injury. It outlines the complex pathophysiology of trauma-induced myocardial impairment, including mechanical injury, systemic inflammation, oxidative stress, and neuro-hormonal activation. The limitations of conventional diagnostic approaches, such as electrocardiography, left ventricular ejection fraction (LVEF), and cardiac biomarkers, are critically assessed and contrasted with the enhanced diagnostic performance of GLS. GLS has demonstrated superior sensitivity in detecting subclinical myocardial dysfunction even when LVEF remains preserved and is associated with increased risk of long-term cardiovascular complications, including arrhythmias and heart failure. The manuscript highlights the clinical utility of GLS in early diagnosis, risk stratification, treatment monitoring, and long-term follow-up. Integration of GLS with inflammatory and oxidative biomarkers (e.g., IL-6, TNF-α, and MPO) and artificial intelligence-based diagnostic models offers potential for improved precision in trauma cardiology.

Indexed as

cardiac biomarkerscardiac dysfunctionglobal longitudinal strainmyocardial injurypolytraumaspeckle-tracking echocardiography

Identifiers

PMID40724554
PMCPMC12300519

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.