• Nomusa Christina Mzimela, Aubrey Mbulelo Sosibo, Phikelelani Siphosethu Ngubane, and Andile Khathi.
• School of Laboratory Medicine and Medical Science, College of Health Sciences, University of Kwa-Zulu Natal, Durban, South Africa.
• Medicine (Baltimore). 2022 Dec 23; 101 (51): e30903e30903.

BackgroundPre-diabetes is an intermediate state between normoglycaemia and type 2 diabetes (T2D). This condition has been shown to be asymptomatic thus making it hard to investigate the changes that occur in the body during this state. Recent findings stipulate that in this state, there are changes that are often associated with T2D. These include changes in concentration of immune cells and inflammatory markers. This systematic review will provide a synthesis of the data that is available reporting on the changes in the concentration of immune cells and selected markers during prediabetes. It will also give clarity of the variation of the complications of the condition among the various demographic groups.MethodsThe assembly of this systematic review was through strict adherance to the PRISMA 2020 guidelines for reporting systematic reviews. This systematic review has been registered with the International Prospective Registry of Systematic Reviews (PROSPERO), registration number "CRD42020184828" dated 05-07-2020). In this systematic review, published clinical studies articles that involve observational reports, whether it is case-control, cross-sectional, and comparative cross-sectional will be used. Cohort study designs that involve normal/non-diabetic and pre-diabetes reports will be used in this systematic review and meta-analysis. Clinical MeSH headings to search on MEDLINE, COCHRANE library, EMBASE, and ICTRP and African Journal Online will be a tool used to achieve the required report. Reviewers (NCM, AMS, and AK) will screen all the results and select the studies that will be eligible by guidance according to eligibility criteria. Downs and Black Checklist will be used to check the risk of bias and then for meta-analysis Review Manager v5.4 Forrest plot will be used. Additionally, the Forrest plot will also be used for sensitivity analysis. The strength of evidence will then be assessed using the Grading of Recommendations Assessment, Development, and Evaluation approach.ResultsOnly 4 reports were eligible and risk of bias checked. The results indicated the outcomes even though there were only few reports.Discussion And ConclusionThis systematic review will give an indication on the available data on this research area and lay a foundation for future studies.Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.

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