scholarly journals Faculty Opinions recommendation of Prevalence of diabetes mellitus among tuberculosis patients in Sub-Saharan Africa: a systematic review and meta-analysis of observational studies.

Author(s):  
Anthony Harries ◽  
Kudakwashe C Takarinda
2020 ◽  
Author(s):  
Micheal Abel Alao ◽  
Oluwakemi O Tongo ◽  
Idowu Adejumoke Ayede ◽  
Michael Udochukwu Diala ◽  
Olayinka Rasheed Ibrahim ◽  
...  

Abstract Background: The morbidity and mortality from neonatal septicaemia (NNS) in low-middle income country remain high at the background of strained health care delivery system.The burden, pooled risks and outcomes of NNS are largely unknown. We aimed to produce a protocol for synthesizing evidence from available data for neonatal septicaemia in sub-Saharan Africa.Methods: We developed a search strategy using MeSH, text words and entry terms. Nine databases will be searched: PubMed, Embase, CINAHL, AJOL, Google Scholar, Web of Science, Cochrane Library, Research gate and Scopus. Only Observational studies retrievable in the English Language will be included. The primary measurable outcome is the proportion of neonatal with septicaemia while secondary outcomes include proportion of bacterial isolates and their antibiogram, risk factors for NNS, in hospital mortality, length of hospital stay, frequency of necrotizing enterocolitis and other sequel . All identified studies will be screened based on the inclusion criteria. Data will be deduplicated in Endnote version 9, before exporting to Rayyan QCRI for screening. Extractable data will include first author’s name and year of publication, the country and regions in sub-Saharan Africa, total neonatal admissions, number with sepsis, the sample size, bacterial isolates, antibiogram, in-hospital mortality, length of hospital stay and frequency of necrotizing enterocolitis.All studies will be assessed for methodological, clinical and statistical heterogeneity. The NIH Quality assessment tool for observational studies and the Cochrane tool of risk of bias will be used to assess for the strength of evidence. Publication bias will be assessed using the funnel plot.Discussion: Results will be presented as the prevalence, standard error and confidence interval of newborns with neonatal septicaemia in sub-Saharan Africa. Subgroup analysis using categorical data such as risk factors, bacterial isolates, antibiogram and outcomes of neonatal septicaemia will also be reported. A cumulative meta-analysis will be done to assess the time trend of the risk factors, pathogens and antibiogram.The CMA version 3 will be used for statistical analysis. Results will be presented in forest plots.Systematic Review Registration: This protocol is registered in PROSPERO, registration number CRD42020219604.


2019 ◽  
Vol 23 (6) ◽  
pp. 1561-1575 ◽  
Author(s):  
Yalemzewod Assefa Gelaw ◽  
Gail Williams ◽  
Ricardo J. Soares Magalhães ◽  
Charles F. Gilks ◽  
Yibeltal Assefa

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Evans Adu Asamoah ◽  
Christian Obirikorang ◽  
Emmanuel Acheampong ◽  
Max Efui Annani-Akollor ◽  
Edwin Ferguson Laing ◽  
...  

Objectives. Sub-Saharan Africa (SSA) is observing an accelerating prevalence rate of type 2 diabetes mellitus (T2DM) influenced by gene-environment interaction of modifiable and nonmodifiable factors. We conducted a systematic review and meta-analysis on the heritability and genetic risk of T2DM in SSA. Methods. We reviewed all published articles on T2DM in SSA between January 2000 and December 2019 and available in PubMed, Scopus, and Web of Science. Studies that reported on the genetics and/or heritability of T2DM or indicators of glycaemia were included. Data extracted included the study design, records of family history, pattern and characteristics of inheritance, genetic determinants, and effects estimates. Results. The pattern and characteristics of T2DM heritability in SSA are preference for maternal aggregation, higher among first degree compared to second-degree relatives; early age-onset (<50 years), and inherited abnormalities of beta-cell function/mass. The overall prevalence of T2DM was 28.2% for the population with a positive family history (PFH) and 11.2% for the population with negative family history (NFH). The pooled odds ratio of the impact of PFH on T2DM was 3.29 (95% CI: 2.40-4.52). Overall, 28 polymorphisms in 17 genes have been investigated in relation with T2DM in SSA. Almost all studies used the candidate gene approach with most (45.8%) of genetic studies published between 2011 and 2015. Polymorphisms in ABCC8, Haptoglobin, KCNJ11, ACDC, ENPP1, TNF-α, and TCF7L2 were found to be associated with T2DM, with overlapping effect on specific cardiometabolic traits. Genome-wide studies identified ancestry-specific signals (AGMO-rs73284431, VT11A-rs17746147, and ZRANB3) and TCF7L2-rs7903146 as the only transferable genetic risk variants to SSA population. TCF7L2-rs7903146 polymorphism was investigated in multiple studies with consistent effects and low-moderate statistical heterogeneity. Effect sizes were modestly strong [odds ratio=6.17 (95% CI: 2.03-18.81), codominant model; 2.27 (95% CI: 1.50-3.44), additive model; 1.75 (95% CI: 1.18-2.59), recessive model]. Current evidence on the heritability and genetic markers of T2DM in SSA populations is limited and largely insufficient to reliably inform the genetic architecture of T2DM across SSA regions.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Hafte Kahsay Kebede ◽  
Lillian Mwanri ◽  
Paul Ward ◽  
Hailay Abrha Gesesew

Abstract Background It is known that ‘drop out’ from human immunodeficiency virus (HIV) treatment, the so called lost-to-follow-up (LTFU) occurs to persons enrolled in HIV care services. However, in sub-Saharan Africa (SSA), the risk factors for the LTFU are not well understood. Methods We performed a systematic review and meta-analysis of risk factors for LTFU among adults living with HIV in SSA. A systematic search of literature using identified keywords and index terms was conducted across five databases: MEDLINE, PubMed, CINAHL, Scopus, and Web of Science. We included quantitative studies published in English from 2002 to 2019. The Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI) was used for methodological validity assessment and data extraction. Mantel Haenszel method using Revman-5 software was used for meta-analysis. We demonstrated the meta-analytic measure of association using pooled odds ratio (OR), 95% confidence interval (CI) and heterogeneity using I2 tests. Results Thirty studies met the search criteria and were included in the meta-analysis. Predictors of LTFU were: demographic factors including being: (i) a male (OR = 1.2, 95% CI 1.1–1.3, I2 = 59%), (ii) between 15 and 35 years old (OR = 1.3, 95% CI 1.1–1.3, I2 = 0%), (iii) unmarried (OR = 1.2, 95% CI 1.2–1.3, I2 = 21%), (iv) a rural dweller (OR = 2.01, 95% CI 1.5–2.7, I2 = 40%), (v) unemployed (OR = 1.2, 95% CI 1.04–1.4, I2 = 58%); (vi) diagnosed with behavioral factors including illegal drug use(OR = 13.5, 95% CI 7.2–25.5, I2 = 60%), alcohol drinking (OR = 2.9, 95% CI 1.9–4.4, I2 = 39%), and tobacco smoking (OR = 2.6, 95% CI 1.6–4.3, I2 = 74%); and clinical diagnosis of mental illness (OR = 3.4, 95% CI 2.2–5.2, I2 = 1%), bed ridden or ambulatory functional status (OR = 2.2, 95% CI 1.5–3.1, I2 = 74%), low CD4 count in the last visit (OR = 1.4, 95% CI 1.1–1.9, I2 = 75%), tuberculosis co-infection (OR = 1.2, 95% CI 1.02–1.4, I2 = 66%) and a history of opportunistic infections (OR = 2.5, 95% CI 1.7–2.8, I2 = 75%). Conclusions The current review identifies demographic, behavioral and clinical factors to be determinants of LTFU. We recommend strengthening of HIV care services in SSA targeting the aforementioned group of patients. Trial registration Protocol: the PROSPERO Registration Number is CRD42018114418


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