{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T14:26:21Z","timestamp":1787840781204,"version":"build-2784847793"},"reference-count":21,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"2","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:title>\n                    A\n                    <jats:sc>BSTRACT<\/jats:sc>\n                  <\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods:<\/jats:title>\n                    <jats:p>\n                      Over the course of two years, a cross-sectional study was carried out with a sample size of 128 adult patients (age &gt;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\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      value below 0.05 was deemed significant for the entire statistical test.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Participants in the study had mean age of 46 years \u00b1 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 \u226550 years with an IDRS of 30 were at the highest risk of getting diabetes. The IDRS of \u226560 demonstrated the best sensitivity (80%) and specificity (35.92%) for identifying the undiagnosed cases of diabetes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>It has been determined that the Indian diabetes risk score is a practical and economical method to screen for undiagnosed cases of diabetes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.4103\/jfmpc.jfmpc_913_25","type":"journal-article","created":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T12:01:31Z","timestamp":1774008091000},"page":"973-977","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":0,"title":["Performance of Indian diabetic risk score in identifying the undiagnosed type-2 diabetes mellitus among the rural population of Dehradun"],"prefix":"10.4103","volume":"15","author":[{"given":"Mahendra","family":"Singh","sequence":"first","affiliation":[{"name":"Department of Community and Family Medicine, AIIMS, Rishikesh, Uttarakhand, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashutosh","family":"Mishra","sequence":"additional","affiliation":[{"name":"Department of Community Medicine, Gautam Buddha Chikitsa Mahavidyalaya, Dehradun, Uttarakhand, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yogesh","family":"Bahurupi","sequence":"additional","affiliation":[{"name":"Department of Community Medicine, AIIMS, Nagpur, Maharashtra, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Surekha","family":"Kishore","sequence":"additional","affiliation":[{"name":"Department of Community and Family Medicine, AIIMS, Rishikesh, Uttarakhand, 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