Evidence map›Paper›PMID 41590882›Full record

ArticleJournal of cardiovascular development and disease2026

The Role of the Triglyceride-Glucose Index and Other Prognostic Factors in Predicting Coronary Slow Flow.

Fethullah Kayan, Halil Kömek, Ferat Kepenek, Mehmet Serdar Yildirim

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Article in Journal of cardiovascular development and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 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

4 authors.

Fethullah KayanDepartment of Cardiology, SaglikBilimleri University Diyarbakir Gazi Yasargil Training and Research Hospital, 21070 Diyarbakir, Turkey.ORCID 0000-0002-8875-5672
Halil KömekDepartment of Nuclear Medicine, SaglikBilimleri University Diyarbakir Gazi Yasargil Training and Research Hospital, 21070 Diyarbakir, Turkey.
Ferat KepenekDepartment of Nuclear Medicine, SaglikBilimleri University Diyarbakir Gazi Yasargil Training and Research Hospital, 21070 Diyarbakir, Turkey.
Mehmet Serdar YildirimDepartment of Internal Medicine, SaglikBilimleri University Diyarbakir Gazi Yasargil Training and Research Hospital, 21070 Diyarbakir, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsulin resistance (IR) has been implicated in cardiovascular diseases, and a correlation between IR and the slow flow phenomenon (CSF)has been identified. The triglyceride-glucose index (TGI), a simple surrogate marker for IR, has recently emerged as a potential predictor of CSF, though data are limited. The aim of this study was to evaluate the association of TGI and other prognostic parameters in patients with CSF.

methodsThis retrospective study included 693 patients who underwent diagnostic coronary angiography between January 2022 and December 2024. A total of 132 patients were diagnosed with CSF based on the corrected TIMI frame count (cTFC > 27 in at least one epicardial coronary artery), while 561 patients had normal coronary flow (NCF). Patients with confounding cardiovascular or systemic conditions were excluded. Clinical, demographic, and laboratory data were gathered, and TGI was calculated as ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2].

resultsStatistically significant distinctions were found between the CSF and NCF groups regarding TGI, age, glucose, HbA1c, creatinine, sodium, CRP, platelet count, heart rate, PR interval, and cQT interval (

conclusionsOur study demonstrated that TGI was significantly greater in patients with CSF compared to those with NCF. Although TGI showed limited sensitivity and specificity in discriminating CSF, its possible value as a prognostic indicator warrants further validation in prospective, large-scale studies.

Indexed as

coronary angiographycoronary slow flowinsulin resistanceTIMI frame counttriglyceride–glucose index

Identifiers

PMID41590882
PMCPMC12842290

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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.