Evidence map›Paper›PMID 42023348›Full record

ArticleJournal of family medicine and primary care2026

Performance of Indian diabetic risk score in identifying the undiagnosed type-2 diabetes mellitus among the rural population of Dehradun.

Mahendra Singh, Ashutosh Mishra, Yogesh Bahurupi, Surekha Kishore, Pradeep Aggarwal, Ravi Kant, Bela Goyal, Madhurima Sharma

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Article in Journal of family medicine and primary care, 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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8 authors.

Mahendra SinghDepartment of Community and Family Medicine, AIIMS, Rishikesh, Uttarakhand, India.
Ashutosh MishraDepartment of Community Medicine, Gautam Buddha Chikitsa Mahavidyalaya, Dehradun, Uttarakhand, India.
Yogesh BahurupiDepartment of Community Medicine, AIIMS, Nagpur, Maharashtra, India.
Surekha KishoreDepartment of Community and Family Medicine, AIIMS, Rishikesh, Uttarakhand, India.
Pradeep AggarwalDepartment of Community and Family Medicine, AIIMS, Rishikesh, Uttarakhand, India.
Ravi KantDepartment of General Medicine, AIIMS, Rishikesh, Uttarakhand, India.
Bela GoyalDepartment of Biochemistry, AIIMS Rishikesh, Uttarakhand, India.
Madhurima SharmaDepartment of Community and Family Medicine, AIIMS, Rishikesh, Uttarakhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Burden of diabetes and prediabetes has risen among adults in India. Over 50% of individuals do not know their diabetes condition. This research was carried out to assess the efficacy of Indian diabetes risk score (IDRS) in detecting undiagnosed type-2 diabetes mellitus within the rural community of Dehradun. Materials and Methods: Over the course of two years, a cross-sectional study was carried out with a sample size of 128 adult patients (age >18 years) attending OPD at peripheral health center, functional under Community and Family Medicine department, AIIMS Rishikesh. As a study tool, the Indian diabetes risk score was used for the detection of undiagnosed type-2 diabetes mellitus and simultaneously its validity was checked. Data analysis was conducted using SPSS version 23.0 for Windows. A Results: Participants in the study had mean age of 46 years ± 10.9 SD. Based on the IDRS, proportion of risk of diabetes was high among 52.3% of the study participants. Almost 30.5% of the participants aged ≥50 years with an IDRS of 30 were at the highest risk of getting diabetes. The IDRS of ≥60 demonstrated the best sensitivity (80%) and specificity (35.92%) for identifying the undiagnosed cases of diabetes. Conclusion: It has been determined that the Indian diabetes risk score is a practical and economical method to screen for undiagnosed cases of diabetes.

Indexed as

IDRSIndian diabetes risk scorescreeningtype-2 diabetesundiagnosed diabetes

Identifiers

PMID42023348
PMCPMC13098867

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