Evidence map›Paper›PMID 39295645›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024

Value of Glycemic Dispersion Index in Predicting Major Adverse Cardiovascular Events in Diabetic Patients with Concomitant Acute Coronary Syndrome.

Rui Shi, Wenbo Xu, Lei Feng, Dan Ye, Beibei Luo, Yanmei Liu, Huiying Cao, Lingtong Tang

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

8 authors.

Rui Shi *Department of Laboratory, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, People's Republic of China.ORCID 0000-0002-7835-1834
Wenbo XuDepartment of Laboratory, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, People's Republic of China.
Lei Feng *Clinical Laboratory, Yan'an Hospital of Kunming City, Kunming City, Yunnan Province, People's Republic of China.
Dan YeDepartment of Laboratory, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, People's Republic of China.
Beibei LuoDepartment of Laboratory, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, People's Republic of China.ORCID 0000-0002-1481-3008
Yanmei LiuClinical Laboratory, Yan'an Hospital of Kunming City, Kunming City, Yunnan Province, People's Republic of China.ORCID 0009-0005-3852-0807
Huiying CaoDepartment of Laboratory, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, People's Republic of China.
Lingtong TangDepartment of Laboratory, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This investigation aims to assess the predictive value of the glycemic dispersion index (GDI), calculated by incorporating glycated hemoglobin, fasting plasma glucose, and 2-hour postprandial plasma glucose, in predicting major adverse cardiovascular events (MACE) within a 12-month timeframe for diabetic patients with concomitant acute coronary syndrome (ACS). Methods: A retrospective study was conducted on 3261 diabetic patients with ACS who were hospitalized in the Department of Cardiology, the Sixth Affiliated Hospital of Kunming Medical University, from January 2016 to July 2022. Based on the inclusion and exclusion criteria, 512 patients were ultimately enrolled in the study. Their general information and laboratory test indicators were collected, and the occurrence of MACE within 12 months after admission was followed up and recorded for the enrolled patients, With the last follow-up having been concluded on July 31, 2023. The enrolled patients were stratified into four groups (Q1, Q2, Q3, Q4) based on their GDI values, from the lowest to the highest. Cox proportional hazards regression analysis and Kaplan-Meier survival analysis were employed to investigate the risk factors associated with MACE occurrence across these groups and to assess the cumulative risk of MACE over time within each group. Results: The percentages of enrolled patients experiencing MACE in groups Q1 to Q4 were 10.16%, 12.50%, 15.63%, and 16.41%, respectively. GDI independently predicted the hazards for MACE in enrolled patients. The cumulative risk of MACE over time was considerably more significant in those with a GDI>4.21 than those with a GDI≤4.21. Conclusion: The elevated GDI is correlated with an augmented risk of MACE in diabetic patients with concomitant ACS, thereby serving as an early indicator for assessing the unfavorable clinical prognosis of patients. This study offers novel insights into glycemic variability monitoring, enhancing prevention and treatment strategies for cardiovascular disease in people with diabetes.

Indexed as

acute coronary syndromediabetesglycemic dispersion indexglycemic variabilitymajor adverse cardiovascular events

Identifiers

PMID39295645
PMCPMC11410034

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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.