Evidence map›Paper›PMID 39887395›Full record

ArticleJournal of clinical ultrasound : JCU2025

Application Value of Myocardial Segmental Thickness Variability Measured by Echocardiography in Distinguishing Ischemic and Nonischemic Dilated Cardiomyopathy.

Can Xu, Dongjin Wang

Abstract read
In one paragraph

Article in Journal of clinical ultrasound : JCU, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Can XuDepartment of Cardiac Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.ORCID https://orcid.org/0009-0001-8857-4054
Dongjin WangDepartment of Cardiac Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.ORCID https://orcid.org/0009-0009-5658-2461

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study is to evaluate the clinical value of myocardial segmental thickness variability (STV) measured by echocardiography in distinguishing ischemic cardiomyopathy (ICM) from nonischemic dilated cardiomyopathy (NIDCM).

methodsThis study included 120 patients diagnosed with dilated cardiomyopathy, divided into ICM (n = 43) and NIDCM (n = 77) groups based on coronary angiography. Traditional echocardiographic parameters, STV, and regional wall motion abnormalities (RWMA) were compared. The diagnostic value of STV was assessed using receiver operating characteristic (ROC) curve analysis.

resultsThere were no significant differences in traditional echocardiographic parameters between the groups. The NIDCM group had a significantly higher mean STV compared to the ICM group. An STV threshold of 0.768 provided a sensitivity of 86.0% and a specificity of 94.8% for distinguishing ICM from NIDCM. Combining STV with RWMA improved diagnostic accuracy.

conclusionSTV measured by echocardiography is a valuable, noninvasive tool for differentiating between ICM and NIDCM, offering high sensitivity and specificity. This approach enhances diagnostic precision, supporting its use in clinical practice to guide appropriate treatment strategies.

Indexed as

Cardiomyopathy, DilatedEchocardiographyMyocardial IschemiaAdultAgedDiagnosis, DifferentialFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesSensitivity and Specificitydilated cardiomyopathyechocardiographyischemic cardiomyopathyregional wall motion abnormalitiessegmental thickness variability

Identifiers

PMID39887395
PMCPMC12087720

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.