Evidence map›Paper›PMID 39680270›Full record

ArticleThe Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology2024

sST2 levels and 3D speckle tracking as predictors of CAD severity in chronic coronary syndrome.

Amr Setouhi, K Maghraby, Nasser Taha, M Abdelsayed, Mohammed H Hassan, Hossam Eldin M Mahmoud

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Article in The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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3citing papers in PubMed, 1 pooled it
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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.

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3 · Its place in the literature

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3 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

6 authors.

Amr SetouhiDepartment of Cardiology, Faculty of Medicine, Minia University, Minya, Egypt.
K MaghrabyDepartment of Cardiology, Faculty of Medicine, Minia University, Minya, Egypt.
Nasser TahaDepartment of Cardiology, Faculty of Medicine, Minia University, Minya, Egypt.
M AbdelsayedCardiology Division of Internal Medicine Department, Faculty of Medicine, South Valley University, Qena, 83523, Egypt.
Mohammed H HassanDepartment of Medical Biochemistry, Faculty of Medicine, South Valley University, Qena, 83523, Egypt. mohammedhosnyhassaan@yahoo.com.
Hossam Eldin M MahmoudCardiology Division of Internal Medicine Department, Faculty of Medicine, South Valley University, Qena, 83523, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies on the relation of sST2 with atherosclerotic disease mostly focused on the predictive value of sST2 for heart failure. However, there is no definite conclusion about the correlation between sST2 level and a complex coronary lesion morphology detected with coronary angiography (CAG). The purpose of this work was to know sST2 level and 3D speckle-tracking echocardiography as predictor of coronary artery disease (CAD) severity in chronic coronary syndrome (CCS) individuals using Gensini score. This prospective cohort work was performed on 90 participants aging from 18 to 80 years old, both sexes, with stable angina pectoris. Participants had been categorized into three groups: Group I (n = 30): control group scheduled by normal coronary angiography and group II (n = 60): case group which subdivided according to Gensini score into two equal subgroups: IIa: simple lesion (Gensini score < 20) and group IIb: complex lesion (Gensini score of ≥ 20). Plasma sST2 levels were measured in all participants using ELISA technique.

resultsGLS, GAS, GCS and ST2 can significantly predict severity of CAD in CCS, respectively (P < 0.001 and AUC (95% CI) = 0.949(0.881-0.984), 0.980(0.925 to 0.998), 0.908(0.828 to 0.959) and 0.702(0.597 to 0.794)) at cutoff ≥ - 10, - 21, - 12 and ≥ 10 with 96.67% (82.8% to 99.9%), 96.67% (82.8 to 99.9), 86.67% (69.3 to 96.2) and 63.33% (43.9 to 80.1) sensitivity (95% CI), 76.67% (64.0% to 86.6%), 85.0% (73.4 to 92.9), 73.33% (60.3 to 83.9) and 65.0% (51.6 to 76.9) specificity (95% CI), 67.44%, 76.32%, 61.90% and 47.50% PPV and 97.87%, 98.08%, 91.67% and 78.00%, NPV with accuracy of 83.33%, 88.89%, 77.78% and 64.44%.

conclusionssST2 level, GLS, GAS and GCS can significantly predict severity of CAD in CCS.

Indexed as

Chronic coronary syndromeCoronary artery diseaseGensini scorePlasma soluble suppression of tumorigenicity 2Speckle-tracking echocardiography

Identifiers

PMID39680270
PMCPMC11649605

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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.