Literature DB >> 17199983

[Evaluation of the four simple methods in the diagnosis of diabetic peripheral neuropathy].

Wei-ping Jia1, Qin Shen, Yu-qian Bao, Jun-xi Lu, Ming Li, Kun-san Xiang.   

Abstract

OBJECTIVE: To evaluate the efficacy of neuropathy symptom score/neuropathy disability score (NSS/NDS), Michigan Neuropathy Screening Instrument (MNSI), vibration perception threshold (VPT) and 24010 g monofilament examination in the diagnosis of diabetic peripheral neuropathy (DPN).
METHODS: 240 patients with type 2 diabetes underwent the 4 simple tests: NSS/NDS, MNSI, VPT, and 10 g monofilament examination and nerve conduction velocity (NCV) examination. Using the results of NCV as golden criteria, the sensitivity, specificity, positive and negative predictive values, accuracy and kappa values of these tests were analyzed.
RESULTS: The sensitivity, specificity, accuracy, and kappa value of MNSI score over 2 were 78.15%, 88.43%, 83.33%, and 0.67 respectively. The validity could be ranked in the following order with respect to the diagnosis of DPN: MNSI > VPT > NSS/NDS > 10 g monofilament examination.
CONCLUSION: MNSI is a rapid, simple and reliable test for screening DPN in both diabetes clinics and epidemiological surveys.

Entities:  

Mesh:

Year:  2006        PMID: 17199983

Source DB:  PubMed          Journal:  Zhonghua Yi Xue Za Zhi        ISSN: 0376-2491


  8 in total

1.  Ambulatory screening of diabetic neuropathy and predictors of its severity in outpatient settings.

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Journal:  J Endocrinol Invest       Date:  2016-11-15       Impact factor: 4.256

2.  Assessment of diabetic neuropathy using a point-of-care nerve conduction device shows significant associations with the LDIFLARE method and clinical neuropathy scoring.

Authors:  Sanjeev Sharma; Prashanth Rj Vas; Gerry Rayman
Journal:  J Diabetes Sci Technol       Date:  2014-09-17

3.  Neuropathy-specific alterations in a Mexican population of diabetic patients.

Authors:  Angélica Carbajal-Ramírez; Rebeca García-Macedo; Carlos Manlio Díaz-García; Carmen Sanchez-Soto; Araceli Méndez Padrón; Jorge Escobedo de la Peña; Miguel Cruz; Marcia Hiriart
Journal:  BMC Neurol       Date:  2017-08-25       Impact factor: 2.474

4.  Determination of peripheral neuropathy prevalence and associated factors in Chinese subjects with diabetes and pre-diabetes - ShangHai Diabetic neuRopathy Epidemiology and Molecular Genetics Study (SH-DREAMS).

Authors:  Bin Lu; Ji Hu; Jian Wen; Zhaoyun Zhang; Linuo Zhou; Yiming Li; Renming Hu
Journal:  PLoS One       Date:  2013-04-16       Impact factor: 3.240

5.  Subclinical inflammation and diabetic polyneuropathy: MONICA/KORA Survey F3 (Augsburg, Germany).

Authors:  Christian Herder; Mark Lankisch; Dan Ziegler; Wolfgang Rathmann; Wolfgang Koenig; Thomas Illig; Angela Döring; Barbara Thorand; Rolf Holle; Guido Giani; Stephan Martin; Christa Meisinger
Journal:  Diabetes Care       Date:  2009-01-08       Impact factor: 19.112

6.  Foot care knowledge and practices and the prevalence of peripheral neuropathy among people with diabetes attending a secondary care rural hospital in southern India.

Authors:  Hanu George; Ps Rakesh; Manjunath Krishna; Reginald Alex; Vinod Joseph Abraham; Kuryan George; Jasmin H Prasad
Journal:  J Family Med Prim Care       Date:  2013-01

7.  Standards of care for type 2 diabetes in China.

Authors:  Jianping Weng; Linong Ji; Weiping Jia; Juming Lu; Zhiguang Zhou; Dajin Zou; Dalong Zhu; Liming Chen; Li Chen; Lixin Guo; Xiaohui Guo; Qiuhe Ji; Qifu Li; Xiaoying Li; Jing Liu; Xingwu Ran; Zhongyan Shan; Lixin Shi; Guangyao Song; Liyong Yang; Yuzhi Yang; Wenying Yang
Journal:  Diabetes Metab Res Rev       Date:  2016-07       Impact factor: 4.876

8.  Moxibustion for the treatment of diabetic peripheral neuropathy: A systematic review and meta-analysis following PRISMA guidelines.

Authors:  Yumeng Tan; Jun Hu; Bing Pang; Lijuan Du; Yanan Yang; Qing Pang; Meizhen Zhang; Qian Wu; Yi Zhang; Qing Ni
Journal:  Medicine (Baltimore)       Date:  2020-09-25       Impact factor: 1.817

  8 in total

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