Juan Sun1, Ya Wang2, Xiaoyi Zhang3, Shengze Zhu1, Hong He4. 1. School of Medicine, Nantong University, No.19 Qixiu Road, Chongchuan District, Nantong, Jiangsu Province, China. 2. Affiliated Hospital of Nantong University, No. 20, Xisi Road, Chongchuan District, Nantong, Jiangsu Province, China. 3. Department of Endocrinology, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Chongchuan District, Nantong, Jiangsu Province, China. 4. Department of Nursing, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Chongchuan District, Nantong, Jiangsu Province, 226001, China. Electronic address: hehong1962@126.com.
Abstract
AIMS: We aimed to determine pooled prevalence of diabetic peripheral neuropathy (DPN) in patients with diabetes and to explore the impacts of research variables on prevalence estimates. METHODS: A systematic search was performed in PubMed, EMBASE, The Cochrane Library and Scopus from onset up to July 2018 to identify articles investigating the prevalence of DPN. Random-effects models were used to calculate the pooled prevalence of DPN. The heterogeneity of the study was estimated with the I2 statistic. The publication bias was described by Egger's test and funnel plot. RESULTS: A total of 29 studies with a total of 50,112 participants were included in this meta-analysis. The results showed that the pooled prevalence of DPN was 30% (95% confidence interval, CI 25-34%). The pooled prevalence of DPN among patients with type 2 diabetes mellitus was higher than patients with type 1 diabetes mellitus (31.5%, 95% CI 24.4-38.6% vs 17.5%, 95% CI 4.8-30.2%). The pooled prevalence of DPN of studies involving a mixed type of diabetes mellitus was 24.8% (95% CI 13.1-36.5%, I2=99.1%). CONCLUSIONS: Medical staff should strengthen the evaluation and diagnosis of DPN. Moreover, they need to teach diabetic patients how to prevent this complication.
AIMS: We aimed to determine pooled prevalence of diabetic peripheral neuropathy (DPN) in patients with diabetes and to explore the impacts of research variables on prevalence estimates. METHODS: A systematic search was performed in PubMed, EMBASE, The Cochrane Library and Scopus from onset up to July 2018 to identify articles investigating the prevalence of DPN. Random-effects models were used to calculate the pooled prevalence of DPN. The heterogeneity of the study was estimated with the I2 statistic. The publication bias was described by Egger's test and funnel plot. RESULTS: A total of 29 studies with a total of 50,112 participants were included in this meta-analysis. The results showed that the pooled prevalence of DPN was 30% (95% confidence interval, CI 25-34%). The pooled prevalence of DPN among patients with type 2 diabetes mellitus was higher than patients with type 1 diabetes mellitus (31.5%, 95% CI 24.4-38.6% vs 17.5%, 95% CI 4.8-30.2%). The pooled prevalence of DPN of studies involving a mixed type of diabetes mellitus was 24.8% (95% CI 13.1-36.5%, I2=99.1%). CONCLUSIONS: Medical staff should strengthen the evaluation and diagnosis of DPN. Moreover, they need to teach diabeticpatients how to prevent this complication.
Authors: Jian He; Han Bin Wang; Jiang Ju Huang; Lei Zhang; Dong Lin Li; Wan You He; Qing Ming Xiong; Zai Sheng Qin Journal: Exp Ther Med Date: 2021-05-18 Impact factor: 2.751
Authors: Brian Godman; Debashis Basu; Yogan Pillay; Julius C Mwita; Godfrey Mutashambara Rwegerera; Bene D Anand Paramadhas; Celda Tiroyakgosi; Patrick Mbah Okwen; Loveline Lum Niba; Justice Nonvignon; Israel Sefah; Margaret Oluka; Anastasia N Guantai; Dan Kibuule; Francis Kalemeera; Mwangana Mubita; Joseph Fadare; Olayinka O Ogunleye; Larry A Distiller; Enos M Rampamba; Jeffrey Wing; Debjani Mueller; Abubakr Alfadl; Adefolarin A Amu; Zinhle Matsebula; Aubrey Kalungia; Trust Zaranyika; Nyasha Masuka; Janney Wale; Ruaraidh Hill; Amanj Kurdi; Angela Timoney; Stephen Campbell; Johanna C Meyer Journal: Front Pharmacol Date: 2020-03-20 Impact factor: 5.810