Abstract
Generating accurate epidemiological data on the magnitude of anemia in malnourished children is a vital step for health policymakers. Therefore, this study is aimed to synthesize the overall magnitude of anemia in African malnourished pre-school children. We have searched the databases PubMed/MEDLINE, Embase, Scopus, Web of Science, Google Scholar, and Google to identify relevant articles. Joana Brigg's Institute critical appraisal tool was used to assess the quality of articles. A random-effects model was applied to estimate the pooled prevalence of anemia in malnourished children. The I2 statistics were used to examine heterogeneity among the included studies. In the presence of heterogeneity, a subgroup analysis has been used. The funnel plot analysis and Egger's tests were used to investigate the presence of publication bias. A total of 15 articles with 12,211 study participants were included in this study. Anemia was observed in 57.53% (95% CI: 47.05, 68.01) of African malnourished pre-school children. Moreover, the prevalence of anemia was 58.52% (95% CI: 43.04, 73.81) and 56.18% (95% CI: 40.24, 72.13) in HemoCue and auto-machine diagnosis method of anemia, respectively. This review showed that the magnitude of anemia was high among African malnourished pre-school children. Therefore, planning preventive measures to decrease anemia and its complications in malnourished children in Africa is an important step.