{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T07:23:44Z","timestamp":1791617024552,"version":"4.3.4"},"reference-count":24,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2023,3,15]],"date-time":"2023-03-15T00:00:00Z","timestamp":1678838400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["The International Journal of Lower Extremity Wounds"],"published-print":{"date-parts":[[2025,12]]},"abstract":"<jats:p>Diabetic peripheral neuropathy (DPN) is one of the risk factors for foot-related complications among people with type 2 diabetes mellitus (T2DM). Hence, we aimed to validate the Michigan Neuropathy Screening Instrument (MNSI) tool against biothesiometer with a cut-off value of \u226525\u2005V and also to determine the cut-off point of MNSI score for the diagnosis of diabetic neuropathy among people with T2DM in India. A cross-sectional study was conducted among 357 people with T2DM in a tertiary care centre for diabetes in Chennai, South India. The eligible study participants underwent testing with a biothesiometer and the MNSI tool was administered. The patient version tool of MNSI was translated to the local language, Tamil. The MNSI scores (1, 1.5, 2, and 2.5) were compared with biothesiometer value. For the MNSI scores of less than 1, 1.5, 2, and 2.5, sensitivities were 97.6%, 97.6%, 96.8%, and 77.8% and specificities were 76.6%, 77.9%, 85.7%, and 88.3% respectively. The cut-off value of MNSI score was derived as two with AUC of 0.934. The sensitivity was 96.8% and the specificity was 85.7% with 89.6% accuracy. The high sensitivity indicates the positive cases are diagnosed correctly. There is no validated tool available for detection of DPN in Indian population. The Indian version of MNSI tool was found to be effective for screening diabetic neuropathy among people with T2DM. The MNSI tool was found to be reliable, convenient, and non-invasive for diagnosis of DPN and can be used in routine clinical settings.<\/jats:p>","DOI":"10.1177\/15347346231163209","type":"journal-article","created":{"date-parts":[[2023,3,16]],"date-time":"2023-03-16T02:19:16Z","timestamp":1678933156000},"page":"1152-1158","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":17,"title":["Precision of Michigan Neuropathy Screening Instrument (MNSI) Tool for the Diagnosis of Diabetic Peripheral Neuropathy Among People with Type 2 Diabetes\u2014A Study from South India"],"prefix":"10.1177","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9116-3937","authenticated-orcid":false,"given":"Vijay","family":"Viswanathan","sequence":"first","affiliation":[{"name":"MV Hospital for Diabetes and Prof M Viswanathan Diabetes Research Centre, Chennai, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Balkhiwala","family":"Ahmed Khan","sequence":"additional","affiliation":[{"name":"MV Hospital for Diabetes and Prof M Viswanathan Diabetes Research Centre, Chennai, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3870-6669","authenticated-orcid":false,"given":"Sukanya","family":"Nachimuthu","sequence":"additional","affiliation":[{"name":"Prof M Viswanathan Diabetes Research Centre, Chennai, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Satyavani","family":"Kumpatla","sequence":"additional","affiliation":[{"name":"MV Hospital for Diabetes and Prof M Viswanathan Diabetes Research Centre, Chennai, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2023,3,15]]},"reference":[{"key":"e_1_3_3_2_2","unstructured":"International Diabetes Federation (IDF). Atlas 10th ed. 2021. Accessed February 2 2022. https:\/\/diabetesatlas.org\/idfawp\/resource-files\/2021\/07\/IDF_Atlas_10th_Edition_2021.pdf."},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1038\/nrendo.2016.53"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41572-019-0092-1"},{"key":"e_1_3_3_5_2","first-page":"546","article-title":"Prevalence of neuropathy in type 2 diabetic patients attending a diabetes centre in South India","volume":"50","author":"Ashok S","year":"2002","unstructured":"Ashok S, Ramu M, Deepa R, Mohan V. Prevalence of neuropathy in type 2 diabetic patients attending a diabetes centre in South India. 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Treasure Island (FL): StatPearls Publishing; 2022. https:\/\/www.ncbi.nlm.nih.gov\/books\/NBK442009\/."},{"issue":"2","key":"e_1_3_3_8_2","first-page":"102","article-title":"The costs of treating long-term diabetic complications in a developing country: A study from India","volume":"61","author":"Kumpatla S","year":"2013","unstructured":"Kumpatla S, Kothandan H, Tharkar S, Viswanathan V. The costs of treating long-term diabetic complications in a developing country: A study from India. J Assoc Physicians India. 2013;61(2):102\u2010109.","journal-title":"J Assoc Physicians India"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","unstructured":"Yu Y. Gold standard for diagnosis of DPN. Front Endocrinol (Lausanne). 2021;12:719356. 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