Evidence map›Paper›PMID 40534694›Full record

ArticleFrontiers in medicine2025

Contribution of 2 D strain in the detection of subtle myocardial involvement in group A and B patients with chronic obstructive pulmonary disease.

Rania Kaddoussi, Ikram Chamtouri, Wafa Dhouib, Imen Touil, Saoussen Ben Abdallah, Monia Daami, Fatma Ezzahra Elassoufi, Walid Jomaa, Wissal Rouetbi, Ahmed Turki and 1 more

Abstract read
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Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

11 authors.

Rania KaddoussiDepartment of Pneumology, Hospital Fatouma Bourguiba, Monastir, Tunisia.
Ikram ChamtouriDepartment of Cardiology B, Hospital Fatouma Bourguiba, Monastir, Tunisia.
Wafa DhouibDepartment of Preventive Medicine, Hospital Fatouma Bourguiba, Monastir, Tunisia.
Imen TouilDepartment of Medical, Moknine Hospital, Monastir, Tunisia.
Saoussen Ben AbdallahDepartment of Medical, Moknine Hospital, Monastir, Tunisia.
Monia DaamiDepartment of Medical, Moknine Hospital, Monastir, Tunisia.
Fatma Ezzahra ElassoufiDepartment of Cardiology B, Hospital Fatouma Bourguiba, Monastir, Tunisia.
Walid JomaaDepartment of Cardiology B, Hospital Fatouma Bourguiba, Monastir, Tunisia.
Wissal RouetbiDepartment of Cardiology B, Hospital Fatouma Bourguiba, Monastir, Tunisia.
Ahmed TurkiDepartment of Cardiology B, Hospital Fatouma Bourguiba, Monastir, Tunisia.
Khaldoun Ben HamdaDepartment of Cardiology B, Hospital Fatouma Bourguiba, Monastir, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Myocardial involvement mediated by chronic obstructive pulmonary disease (COPD) is a common cause of morbidity and mortality. Conventional transthoracic echocardiography (TTE) parameters are poor in the detection of subclinical myocardial dysfunction. Aim: To investigate the contribution of strain in the early detection of cardiac damage in clinically stable COPD patients. Methods: This was a comparative study between COPD patients (classified A or B) with normal and reduced right ventricle (RV) strain. The COPD assessment test (e.g., CAT score), spirometry [e.g., forced expiratory volume in 1 s (FEV Results: Eighty COPD patients [mean ± standard deviation (SD): age = 66 ± 9 years, LVEF = 60.1 ± 5%, RA = 25 ± 7%, RV = -19.9 ± 3.7%, LV GLS v -21.1 ± 2, and 48% had impaired RV strain] were included. Compared to COPD patient with normal RV strain, those with reduced RV strain had (i) Lower 6MWD (310 ± 113 vs 470 ± 104 m; Conclusion: Group A and B COPD patients having normal conventional TTE parameters, speckle tracking is a key parameter in the detection of subclinical myocardial dysfunction.

Indexed as

chronic obstructiveheart failurespirometrystrainwalk test

Identifiers

PMID40534694
PMCPMC12173926

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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.