| Literature DB >> 31195988 |
Mulat Dagnew1, Amare Belachew2, Moges Tiruneh3, Feleke Moges3.
Abstract
BACKGROUND: There have been a number of studies about seroprevalence of HEV among pregnant women in Africa. However, the finding of seroprevalence of HEV infection among pregnant women is variable and inconsistent. Therefore; this systematic review intended to provide the pooled seroprevalence of HEV among pregnant women in Africa.Entities:
Keywords: Africa; HEV; Infection; Meta-analysis; Pregnant women; Systematic review
Mesh:
Substances:
Year: 2019 PMID: 31195988 PMCID: PMC6567642 DOI: 10.1186/s12879-019-4125-x
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Fig. 1Flow chart shows selection of articles for meta-analysis
A summary of descriptive characteristics of included studies
| Author | Publication year | Study- period | Study design | Country | Age | Sample size (n) | Setting | IgG (%) | Assay method |
|---|---|---|---|---|---|---|---|---|---|
| Depaschal et al. [ | 2016 | 2014 | CS | Benin | 15–41 | 278 | Mixed | 16.19 | Dia. Pro |
| Traore et al. [ | 2012 | 2010/2011 | CS | Burkina Faso | 189 | Mixed | 11.6 | Dia. Pro | |
| Florence et al. [ | 2016 | CS | Burkina Faso | 18–45 | 179 | Mixed | 10.6 | Creative diagnostic | |
| Noufensi et al. [ | 2016 | CS | Cameroon | 16–41 | 200 | Mixed | 9 | Pristige | |
| Gad et al. [ | 2011 | CS | Egypt | 15–41 | 116 | Mixed | 58.6 | Genelabs | |
| Stoszek et al. [ | 2005 | 1997/2003 | CS | Egypt | 16–48- | 2428 | Rural | 84.3 | In house EIA |
| El-shety et al. [ | 2014 | CS | Egypt | 17–40 | 100 | Rural | 45 | Others | |
| Tekeste et al. [ | 2017 | 2016 | CS | Eritrea | 15–49 | 153 | Mixed | 26.8 | Euroimmun |
| Abebe et al. [ | 2017 | 2015 | CS | Ethiopia | 16–40 | 386 | Mixed | 31.6 | Wanti |
| Nigussie et al. [ | 2018 | 2016 | CS | Ethiopia | 18–50 | 846 | Mixed | 42.4 | Wanti |
| Tsega et al. [ | 1993 | 1988/91 | Cohort | Ethiopia | 15–45 | 32 | Mixed | 59 | Others |
| Caron et al. [ | 2008 | 2005 | CS | Gabon | 14–44 | 840 | Mixed | 14.1 | TMB |
| Caron et al. [ | 2012 | 2008 | CS | Gabon | 14–43 | 243 | 6.6 | TMB | |
| Adjei et al. [ | 2016 | 2008 | CS | Ghana | 13–42 | 157 | Mixed | 28.7 | Interna immuno diag. |
| Obiri-Yeboah et al. [ | 2018 | 2016 | CS | Ghana | 28.01 | 398 | Mixed | 12.2 | Innovita |
| Junaid et al. [ | 2014 | 2012 | CS | Nigeria | 15–40 | 108 | Mixed | 25.4 | Interna. Immune diag. |
| Alkali et al [ | 2016 | 2016 | CS | Nigeria | 18–45 | 182 | Mixed | 9.9 | Euroimmun |
| Lene et al. [ | 2018 | 2016 | CS | Tanzania | 27.6 | 200 | Mixed | 8 | Others |
| Hannachi et al. [ | 2011 | 2009 | CS | Tunisia | 17–52 | 404 | Mixed | 12.1 | Others |
| Musa et al | 2016 | Sudan | 15–45 | 93 | Mixed | 61.2 | Sorono | ||
| Al-Tayeb, et al [ | 2014 | 2013 | CS | Sudan | 16–42 | 90 | Mixed | 41.1 | Others |
| Eltayeb et al. [ | 2015 | 2013 | CS | Sudan | 27.5 | 209 | Mixed | 12.5 | Euroimmun |
CS cross sectional; Mixed: both rural and urban; Others: Innovita, Pristige,Sorono, Cyproheptadine
Critical appraisal studies of HEV infection among African pregnant women by using JBI prevalence critical appraisal check list Africa 2018 [18]
| Study | Q1 | Q2 | Q3 | Q4 | Q5 | Q6 | Q7 | Q8 | Q9 | Total | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Y | N | U | ||||||||||
| Abebe et al. [ | Y | N | Y | Y | Y | Y | Y | Y | Y | 8 | 1 | 0 |
| Alkali et al. [ | Y | N | Y | Y | Y | Y | Y | Y | Y | 8 | 1 | 0 |
| Adje et al. [ | Y | N | Y | Y | Y | Y | Y | Y | Y | 8 | 1 | 0 |
| AlTayeb et al. [ | Y | N | N | Y | Y | Y | Y | Y | U | 6 | 3 | 1 |
| Caron et al., 2008 [ | Y | Y | Y | Y | Y | Y | Y | Y | N | 8 | 1 | 0 |
| Caron et al., 2012 [ | Y | Y | Y | N | Y | Y | Y | Y | Y | 8 | 1 | 0 |
| Depashale et al. [ | Y | N | Y | Y | Y | Y | Y | Y | Y | 7 | 1 | 0 |
| El-shety et al. [ | Y | N | N | N | Y | Y | Y | Y | Y | 6 | 3 | 0 |
| Eltayeb et al. [ | Y | N | Y | Y | Y | Y | Y | Y | U | 7 | 1 | 1 |
| Florence et al. [ | Y | N | Y | N | Y | Y | Y | Y | Y | 7 | 2 | 0 |
| Gad et al. [ | Y | N | N | Y | Y | Y | Y | Y | N | 6 | 3 | 0 |
| Hannachi et al. [ | ||||||||||||
| Junaid et al. [ | Y | N | N | Y | Y | Y | Y | Y | U | 7 | 2 | 0 |
| Lene et al. [ | Y | N | Y | N | Y | Y | Y | Y | U | 7 | 2 | 0 |
| Musa et al. [39] | Y | N | N | Y | Y | Y | Y | Y | N | 6 | 3 | 0 |
| Nigussie et al. [ | Y | N | Y | Y | Y | Y | Y | Y | Y | 8 | 1 | 0 |
| Noufensi et al. [ | Y | N | N | Y | Y | Y | Y | Y | U | 7 | 2 | 0 |
| Obri et al. [ | Y | Y | Y | Y | Y | Y | Y | Y | U | 7 | 0 | 1 |
| Stozek et al. [ | Y | N | Y | Y | N | Y | Y | Y | Y | 7 | 2 | 0 |
| Tekeste et al. [ | Y | N | N | Y | Y | Y | Y | Y | U | 7 | 2 | 0 |
| Traore et al. [ | Y | N | Y | N | Y | Y | Y | Y | Y | 7 | 2 | 0 |
| Tsega et al. [ | Y | N | N | Y | Y | Y | Y | Y | U | 7 | 2 | 1 |
JBI Joanna briggs institute, N no, U unclear, Y yes
Fig. 2Forest plot of Meta-analysis of HEV in African pregnant women
Fig. 3Forest plot of sensitivity analysis of HEV infection among pregnant women
Fig. 4Forest plot of subgroup analysis by subregion of HEV infection among pregnant women
Fig. 5Forest plot of Subgroup analysis by country of HEV infection among pregnant women
Fig. 6Forest plot of subgroup analysis by assay method of HEV infection among pregnant women
Fig. 7Forest plot of subgroup analysis by year publication of HEV infection among pregnant women
Fig. 8Forest plot of subgroup analysis by sample size of HEV infection among pregnant women
Fig. 9Funnel plot to assess publication bias of studies
Heterogeneity assessment summary by using sensitivity and subgroup analysis
| Subgroup analysis | No. of studies | Prevalence of HEV (95%: CI) | Heterogeneity | |
|---|---|---|---|---|
| I2 |
| |||
| Overall | 22 | 29.1%(14.6–43.6) | 99.7% | < 0.00001 |
| Sensitivity analysis by removing one study large sample | 21 | 26%(19.9–32.1) | 97.5% | < 0.00001 |
| Sub region of Africa | 22 | |||
| Central Africa | 2 | 10.5%(3–17.9) | 93.1 | < 0.00001 |
| East Africa | 8 | 35%(21.7–48.3) | 98.1 | < 0.00001 |
| North Africa | 4 | 50%(4.4–95.6) | 99.8% | < 0.00001 |
| West Africa | 8 | 16.4 (11.4–21.4) | 89.2% | < 0.0001 |
| By country having > 2 studies | ||||
| Burkina Faso | 2 | 11.1%(7.9–14.3 | 0 | 0.754 |
| Egypt | 3 | 63%(37–89) | 97.8% | < 0.0001 |
| Ethiopia | 3 | 44 (31.4–57) | 95.4% | < 0.0001 |
| Gabon | 2 | 10.5%(3–18) | 93.1% | < 0.0001 |
| Ghana | 2 | 20%(4–36) | 94.3% | < 0.0001 |
| Nigeria | 2 | 25.5 (5.6–56.6) | 97.3% | < 0.0001 |
| Sudan | 3 | 37.9%(6–69.5) | 97.9% | < 0.0001 |
| Others | 5 | 13.8%(8.9–18.9) | 85.3% | < 0.0001 |
| Publication year | ||||
| 1993–2008 | 3 | 52.4%(.3–105) | 99.9% | < 0.0001 |
| 2009–2015 | 9 | 27.9%(18.3–37.4) | 96.6% | < 0.0001 |
| 2016–2018 | 10 | 22.4%(13.3–31.5) | 97.8% | < 0.0001 |
| Sample size | ||||
| > 200 | 14 | 29 (9.6–48.4) | 99.8% | < 0.0001 |
| < 200 | 8 | 28.8%(17.8–39.8) | 97% | < 0.0001 |
| Assay method | ||||
| Dia.Pro | 2 | 14%(9.5–18.4) | 50.1% | 0.157 |
| Euroimmun | 3 | 32.3 (6–59) | 97.8% | < 0.0001 |
| Wanti | 2 | 37.2 (26.5–47.7) | 92.8% | < 0.0001 |
| TMB | 2 | 10.5 (3–17.9) | 93.1 | < 0.0001 |
| Intena.immuno.diag | 2 | 34.8 (22–47.5) | 79% | < 0.029 |
| Others | 10 | 31.9%(6.9–56.9) | 99.8 | < 0.0001 |
Meta-regression analysis of variables on HEV infection among pregnant women in Africa
| Variables | Coefficient | |
|---|---|---|
| Region | 0.601 | 0.67 |
| Assay method | 0.104 | 0.35 |
| Sample size | 0.268 | 0.15 |
| Country | −0.021 | 0.51 |
| Year of publication | −0.247 | 0.13 |