Evidence map›Paper›PMID 40256092›Full record

ArticleJournal of family medicine and primary care2025

Co-relation of coagulation profile with glycemic index in patients with type 2 diabetes.

Sushil Kumar, Soma Dey, Abhilasha Bankul, Bandana Kumari, Bankim Das, Goutham Giri

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sushil KumarDepartment of Biochemistry, AIIMS, Patna, Bihar, India.
Soma DeyDepartment of Biochemistry, AIIMS, Patna, Bihar, India.
Abhilasha BankulDepartment of Biochemistry, NMCH, Patna, Bihar, India.
Bandana KumariDepartment of Biochemistry, AIIMS, Patna, Bihar, India.
Bankim DasDepartment of Transfusion Medicine, AIIMS, Patna, Bihar, India.
Goutham GiriDepartment of Biochemistry, AIIMS, Patna, Bihar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes mellitus (DM) has emerged as a significant global concern that accounts for nearly 90% of type 2 DM cases worldwide and characterized by insulin resistance. Hyperglycemia in diabetes leads to increased fibrinogen levels and activates the coagulation cascade, thereby triggering atherothrombotic events. Aim and Objective: The study was designed to evaluate the coagulation profile (activated partial thromboplastin time, prothrombin time, and INR) in type 2 diabetes and to analyze the correlation between glycated hemoglobin (A1C) and coagulation profile among the OPD patients coming to AIIMS Patna. Methods: A total of 234 patients were included in the study who were divided into 3 categories based on their glycemic status. 85 were non-diabetic, 65 were pre-diabetic, and 84 were diabetic. The demographic profile and clinical details were recorded. Fasting blood glucose, glycated hemoglobin, coagulation parameters such as prothrombin time, INR, and activated partial thromboplastin time along with other biochemical parameters were investigated. Results: There was a statistically significant association found between the coagulation profile and the two groups (Diabetics and Non-diabetics). The present study also found significant correlations between age and the diabetic group as compared to the non-diabetic group. A strong statistical significance was found between the gender and coagulation profile PT/INR. A statistically significant difference was found in the pre-diabetic and diabetic groups for coagulation parameters such as the activated partial thromboplastin time and prothrombin time (APTT and PT). Conclusion: Clinical tests for prothrombin time, INR, and activated partial thromboplastin time are relatively inexpensive and readily available. The present study shows that a significant association was found between prothrombin time and activated partial thromboplastin time with the glycemic status among the diabetic as compared to non-diabetic or pre-diabetics. These findings can be used as important hemostatic markers in diabetic patients, especially in those at high risk for thrombotic complications.

Indexed as

Activated partial thromboplastin timecoagulation profilediabetesglycemic statusprothrombin time

Identifiers

PMID40256092
PMCPMC12007783

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