Evaluation of skin lesions in diabetic patients: a systematic review and meta-analysis

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Evaluation of skin lesions in diabetic patients: a systematic review and meta-analysis Nader Salari 1 & Amin Hosseinian-Far 2 & Melika Hosseinian-Far 3 & Hossein Kavoussi 4 & Rostam Jalali 5 & Aliakbar Vaisi-Raygani 5 & Shabnam Rasoulpoor 5 & Shna Rasoulpoor 5 & Masoud Mohammadi 6 & Shervin Shabani 6 Received: 17 July 2020 / Accepted: 4 September 2020 # Springer Nature Switzerland AG 2020

Abstract Backgroud Prevalence of skin lesions among diabetic patients is a major health concern. Therefore, this systematic review and meta-analysis study was conducted to determine the prevalence of skin lesions in diabetic patients. Methods To identify and select relevant articles, the SID, MagIran, IranMedex, IranDoc, Google Scholar, Cochrane, Embase, ScienceDirect, Scopus, PubMed, and Web of Science (WoS) databases were searched without a lower time limit and until April 2020. The random effects model was used to perform the analysis, and the heterogeneity of studies was assessed using the I2 index. Data were analyzed within the Comprehensive Meta-Analysis (Version 2) software. Results After evaluating the 22 final articles with a total sample size of 8406, the prevalence of skin lesions among diabetes patients were found as 70.3% (95% CI: 63–76.7%). Moreover, according to the meta-regression analysis, the effect of ‘sample size’ on th prevalence of skin lesions was significantly different in diabetes patients (p < 0.05). Conclusion The results of this study show that skin lesions are common in diabetes patients. Therefore, appropriate policies needs to be adopted to improve the situation and to monitor patients and outcomes at all levels. Keywords Skin lesions . Prevalence . Diabetes . Meta-analysis

Introduction Diabetes Mellitus (DM) is the most common endocrine disorder worldwide. This chronic disease is due to hereditary

insulin deficiency or insufficient production of insulin [1]. Its prevalance is estimated to reach 4.4% by 2030 (i.e. circa 366 million). It is also predicted that by 2025, 300 million people will be affected globally [2]. Other literature has also

* Shna Rasoulpoor [email protected]

Shabnam Rasoulpoor [email protected]

* Masoud Mohammadi [email protected]

Shervin Shabani [email protected]

Nader Salari [email protected]

1

Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran

Amin Hosseinian-Far [email protected]

2

Department of Business Systems & Operations, University of Northampton, Northampton, UK

Melika Hosseinian-Far [email protected]

3

Department of Food Science & Technology, Ferdowsi University of Mashhad (FUM), Mashhad, Iran

Hossein Kavoussi [email protected]

4

Department of Dermatology, Kermanshah University of Medical Sciences, Kermanshah, Iran

Rostam Jalali [email protected]

5

Medical Biology Research Centre, Kermanshah University of Medical Sciences, Kermanshah, Iran

Aliakbar Vaisi-Raygani [email protected]

6

Department of Nursing, School