Evidence mapPaperPMID 42459187Full record

ArticleFrontiers in cardiovascular medicine2026

Association between the C-reactive protein-triglyceride-glucose index and the presence and prognosis of coronary microvascular dysfunction in patients with chronic coronary syndrome.

Cailin Feng, Jiasuer Alifu, Wen Zhang, Lu Liu, Guoqing Yin, Abdul-Quddus Mohammed, Fuad A Abdu, Wenliang Che

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Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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No citing paper in PubMed yet.

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

8 authors.

Cailin Feng *Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Jiasuer Alifu *Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Wen ZhangDepartment of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Lu LiuDepartment of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Guoqing YinDepartment of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Abdul-Quddus MohammedDepartment of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Fuad A AbduDepartment of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Wenliang CheDepartment of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic disturbances in lipid and glucose metabolism underlie coronary microvascular dysfunction (CMD) in chronic coronary syndromes (CCS), yet a practical biomarker integrating this metabolic risk is lacking. Methods: In this single-center retrospective cohort, 421 CCS patients undergoing coronary angiography were included. CMD was defined by caIMR ≥ 25 U. C-reactive protein-triglyceride-glucose index (CTI), triglyceride-glucose index (TyG), and C-reactive protein (CRP) were measured. Associations with CTI and major adverse cardiovascular events (MACE) in CMD patients were analyzed using Cox regression, mediation, and ROC analyses. Results: CTI was independently associated with CMD after full adjustment (Q4 vs. Q1: OR: 2.28, 95% CI: 1.16-4.49, Conclusion: CTI is a robust and independent predictor of both CMD and MACE in patients with CCS, supporting its use for early risk stratification and personalized management in patients with suspected or confirmed microvascular dysfunction.

Indexed as

chronic coronary syndromesclinical outcomescoronary microvascular dysfunctionC-reactive protein-triglyceride-glucose indextriglyceride-glucose index

Identifiers

PMID42459187
PMCPMC13371164

What Socratic holds

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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 Socratic graph.