Journals / Annals of Medical Research / 2021 / Cilt: 28 - Sayı: 4

Validation and Cross-cultural Adaptation and Reliability ofthe Turkish Version of the Michigan Neuropathy ScreeningInstrument in the Eastern Anatolia Region of Turkey

Pages
759–766
Publication Date
2022-10-12
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

All nerveconduction studies and patients were evaluated by a neurologist.Results: The inter-rater agreement of questionnaire section [ICC: 0.957 (95% CI: 0.940-0.969), p

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Aim: Distal symmetric polyneuropathy is a common complication causing foot ulcers and amputations in diabetic patients.
📊
Key Findings & Data:Nerve conduction studies were performed to 123 patients as the gold standard for diabetic neuropathy.
💡
Conclusion & Impact:All nerveconduction studies and patients were evaluated by a neurologist.Results: The inter-rater agreement of questionnaire section [ICC: 0.957 (95% CI: 0.940-0.969), p
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Aim: Distal symmetric polyneuropathy is a common complication causing foot ulcers and amputations in diabetic patients. TheMichigan Neuropathy Screening Instrument (MNSI) is one of the screening methods of diabetic neuropathy, which also providesa comprehensive foot evaluation. The aim of this study was to evaluate the validation, cross-cultural adaptation, and reliability ofTurkish Version of the MNSI in the Eastern Anatolia region of Turkey.Materials and Methods: One hundred twenty-six patients with diabetes mellitus were randomly assigned to the study. Thequestionnaire section of the MNSI was completed by the patients, and the physical examination section was evaluated by healthprofessionals. Nerve conduction studies were performed to 123 patients as the gold standard for diabetic neuropathy. All nerveconduction studies and patients were evaluated by a neurologist.Results: The inter-rater agreement of questionnaire section [ICC: 0.957 (95% CI: 0.940-0.969), p

🔖

Cite This Article

ARSLAN, Y. K., DÜZGÜN, E., TANOĞLU, C., KESKİN, D. B. (2022). Validation and Cross-cultural Adaptation and Reliability ofthe Turkish Version of the Michigan Neuropathy ScreeningInstrument in the Eastern Anatolia Region of Turkey. Annals of Medical Research, Cilt: 28 - Sayı: 4, 759–766. https://ajindex.com/articles/445806

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (14)

  1. Saeedi P, Petersohn I, Salpea P, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res Clin Pract 2019;157:107843
  2. Satman I, Omer B, Tutuncu Y, Kalaca S, Gedik S, Dinccag N, et al. Twelve-year trends in the prevalence and risk factors of diabetes and prediabetes in Turkish adults. Eur J Epidemiol 2013;28:169-80
  3. Feldman EL, Callaghan BC, Pop-Busui R, et al. Diabetic neuropathy. Nat Rev Dis Prim 2019;5:41
  4. American Diabetes Association
  5. Microvascular Complications and Foot Care: Standards of Medical Care in Diabetes-2018. Diabetes Care. 2018;41:105- 18
  6. Wang F, Zhang J, Yu J, et al. Diagnostic Accuracy of Monofilament Tests for Detecting Diabetic Peripheral Neuropathy: A Systematic Review and Meta-Analysis. J Diabetes Res. 2017;2017:8787261
  7. Pourhamidi K, Dahlin LB, Englund E, Rolandsson O. Evaluation of clinical tools and their diagnostic use in distal symmetric polyneuropathy. Prim Care Diabetes 2014;8:77-84
  8. Barbosa M, Saavedra A, Severo M, et al. Validation and Reliability of the Portuguese Version of the Michigan Neuropathy Screening Instrument. Pain Pract 2017;17:514-21
  9. Fateh HR, Madani SP, Heshmat R, et al. Correlation of Michigan neuropathy screening instrument, United Kingdom screening test and electrodiagnosis for early detection of diabetic peripheral neuropathy. J Diabetes Metab Disord 2015;15:8
  10. Feldman EL, Stevens MJ, Thomas PK, et al. A practical two-step quantitative clinical and electrophysiological assessment for the diagnosis and staging of diabetic neuropathy. Diabetes Care 1994;17:1281-9
  11. Pop-Busui R, Lu J, Lopes N, et al. BARI 2D Investigators. Prevalence of diabetic peripheral neuropathy and relation to glycemic control therapies at baseline in the BARI 2D cohort. J Peripher Nerv Syst 2009;14:1- 13
  12. Terwee CB, Bot SDM, de Boer MR, et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol 2007;60:34- 42
  13. Herman WH, Pop-Busui R, Braffett BH, et al. Use of the Michigan Neuropathy Screening Instrument as a measure of distal symmetrical peripheral neuropathy in Type 1 diabetes: results from the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications. Diabet Med 2012;29:937-44
  14. Wild D, Grove A, Martin M, et al. Principles of Good Practice for the Translation