Evidence map›Paper›PMID 40486927›Full record

ArticleOpen medicine (Warsaw, Poland)2025

Relation of time in range to severity of coronary artery disease in patients with type 2 diabetes: A cross-sectional study.

Weiguo Ma, Jinfeng Li, Xiaojuan Shao, Xiaohong Yin, Chuanqing Xie, Fenfen Wang, Ya Li

Abstract read
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In one paragraph

Article in Open medicine (Warsaw, Poland), 2025. 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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0cells of the map it votes in
0citing papers in PubMed
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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.

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

7 authors.

Weiguo MaDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, 710077, China.
Jinfeng LiDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, 710077, China.
Xiaojuan ShaoDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, 710077, China.
Xiaohong YinDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, 710077, China.
Chuanqing XieDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, 710077, China.
Fenfen WangDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, 710077, China.
Ya LiDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Medical University, 48 Fenghao West Road, Lianhu District, Xi'an, 710077, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the high prevalence and serious clinical implications of coronary artery disease (CAD) in patients with type 2 diabetes mellitus (T2DM), the relationship between glycemic control and CAD is usually overlooked. This study aimed to explore the relationship between time in range (TIR), a surrogate marker for glycemic control, and CAD in patients with T2DM. Methods: Overall, 334 patients with T2DM were included and analyzed in this cross-sectional study. The presence of CAD was determined angiographically and the Gensini score was applied to evaluate CAD severity. TIR was calculated from sensor glucose from continuous glucose monitoring. Multivariable-adjusted logistic regression analysis was used to evaluate the relationship between TIR and CAD presence. Results: T2DM with CAD had significantly lower TIR than those without (75.68 ± 13.74 vs 66.12 ± 11.87, Conclusion: TIR is significantly and independently related to CAD severity in T2DM patients. Thus, TIR could be a promising biomarker for the noninvasive assessment of CAD presence and severity in T2DM.

Indexed as

continuous glucose monitoringcoronary artery diseasesurrogate markertime in rangetype 2 diabetes

Identifiers

PMID40486927
PMCPMC12144907

What Socratic holds

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LicenceCC BY
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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.