Evidence map›Paper›PMID 38863910›Full record

ArticleJournal of the ASEAN Federation of Endocrine Societies2024

The Acute Coronary Syndrome Risk in Medically Managed Subjects with Type 2 Diabetes Mellitus - Is the ASCVD Risk Score Failing Here?

Ameya Joshi, Harminder Singh, Sanjay Kalra

Abstract read
In one paragraph

Article in Journal of the ASEAN Federation of Endocrine Societies, 2024. 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

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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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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Ameya JoshiDepartment of Endocrinology, Bhaktivedanta Hospital and Research Institute, Maharashtra, India.
Harminder SinghDepartment of Cardiology, Bhaktivedanta Hospital and Research Institute, Maharashtra, India.
Sanjay KalraDepartment of Endocrinology, Bharti Hospital, Karnal, Haryana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Type 2 Diabetics have elevated risk for acute coronary syndrome (ACS). The current management algorithm focuses on atherosclerotic cardiovascular (ASCVD) risk score to stratify this risk. However, in medically managed subjects, this algorithm may not be accurate. This study compares the ASCVD risk score in an Indian population with T2DM under medical supervision and the actual incidence of ACS. It also compared the ASCVD risk scores in cases with T2DM who developed ACS to controls and tried to estimate whether the ASCVD risk score is different in the two subsets, evaluating the utility of the ASCVD risk score in predicting ACS. Methodology: This is an electronic medical record (EMR) based case-control study. Only records of subjects with T2DM where details of age, sex, body mass index, blood pressure, duration of diabetes, family history of ACS, lipid profile, renal and liver function tests were included. The incidence of ACS was calculated in the selected records, and the records of subjects with ACS were compared with age and sex-matched subjects without ACS. Data are summarized as median and interquartile range (IQR). Wilcoxon rank-sum test was used for checking differences in continuous variables and Pearson's Chi-squared test for categorical data. Univariate and multivariate logistic regression analyses were used to check the effect of ASCVD scores and other variables on the occurrence of ACS.Statistical data analyses were performed using JASP, version 0.16.4 (JASP Team [2022]) for MS Windows. Results: Of the 1226 EMRs included in the analysis, 207 had ACS. The actual incidence of ACS was 16.85% in 6 years, higher than the mean predicted 10-year incidence of 14.56 percent ( Conclusion: The ASCVD risk score underestimates the ACS risk in subjects with T2DM under medical supervision and may not differ in those who developed and did not develop ACS. We also conclude that factors like a negative family history (30% less risk), longer duration of diabetes, and higher SBP are relevant in those who developed ACS.

Indexed as

Acute Coronary SyndromeDiabetes Mellitus, Type 2AdultAgedCase-Control StudiesElectronic Health RecordsFemaleHumansIncidenceIndiaMaleMiddle AgedRisk AssessmentRisk Factorsacute coronary syndromeASCVDfamily history

Identifiers

PMID38863910
PMCPMC11163319

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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.