| Literature DB >> 35841063 |
Masresha Asmare Techane1, Tewodros Getaneh Alemu2, Chalachew Adugna Wubneh2, Getaneh Mulualem Belay2, Tadesse Tarik Tamir2, Addis Bilal Muhye2, Destaye Guadie Kassie2, Amare Wondim2, Bewuketu Terefe3, Bethelihem Tigabu Tarekegn2, Mohammed Seid Ali2, Beletech Fentie2, Almaz Tefera Gonete2, Berhan Tekeba2, Selam Fisiha Kassa2, Bogale Kassahun Desta2, Amare Demsie Ayele2, Melkamu Tilahun Dessie2, Kendalem Asmare Atalell2, Nega Tezera Assimamaw2.
Abstract
BACKGROUND: Despite simple and proven cost-effective measures were available to prevent birth asphyxia; studies suggested that there has been limited progress in preventing birth asphyxia even in healthy full-term neonates. In Sub-Saharan Africa, Inconsistency of magnitude of birth asphyxia and its association gestational age, Low birth Weight and Parity among different studies has been observed through time.Entities:
Keywords: Birth asphyxia; Neonate; Newborn; Sub-Saharan Africa
Mesh:
Year: 2022 PMID: 35841063 PMCID: PMC9288040 DOI: 10.1186/s13052-022-01307-5
Source DB: PubMed Journal: Ital J Pediatr ISSN: 1720-8424 Impact factor: 3.288
Characteristics and Quality Status of the Studies Included to Assess the Pooled Magnitude of birth asphyxia in Sub-Saharan Africa
| ID | first author | Yearof publication | Country | Region | Study design | Sample size | Prevalence% | Quality |
|---|---|---|---|---|---|---|---|---|
| 1 | Uwingabire.Fetal | 2019 | Rwanda | East Africa | Cross-sectional | 340 | 39.70 | Low risk |
| 2 | Abdo et al | 2019 | Ethiopia | East Africa | Cross-sectional | 279 | 15.10 | Low risk |
| 3 | G/her GT et al | 2020 | Ethiopia | East Africa | Cross-sectional | 282 | 18.00 | Low risk |
| 4 | Gebreheat G et al | 2018 | Ethiopia | East Africa | Cross-sectional | 422 | 22.10 | Low risk |
| 5 | Berhe YZ et al | 2020 | Ethiopia | East Africa | case-control | 390 | – | Low risk |
| 6 | Tasew H et al | 2018 | Ethiopia | East Africa | case-control | 264 | – | Low risk |
| 7 | Gebreslasie K et al | 2020 | Ethiopia | East Africa | Cross-sectional | 648 | 12.70 | Low risk |
| 8 | Jamie AH et al | 2019 | Ethiopia | East Africa | Cross-sectional | 258 | 31.60 | Low risk |
| 9 | Ibrahim A et al | 2017 | Ethiopia | East Africa | Cross-sectional | 9736 | 3.10 | Low risk |
| 10 | Wayessa ZJ et al | 2018 | Ethiopia | East Africa | Cross-sectional | 371 | 12.50 | Low risk |
| 11 | Getachew B et al | 2020 | Ethiopia | East Africa | Cross-sectional | 352 | 11.50 | Low risk |
| 12 | Alemu A et al | 2019 | Ethiopia | East Africa | Cross-sectional | 262 | 32.8 | Low risk |
| 13 | Mamo SA et al | 2020 | Ethiopia | East Africa | Cross-sectional | 311 | 41.20 | Low risk |
| 14 | Ayele MW et al | 2019 | Ethiopia | East Africa | case-control | 429 | – | Low risk |
| 15 | Gudayu TW et al | 2017 | Ethiopia | East Africa | Cross-sectional | 261 | 13.80 | Low risk |
| 16 | Wosenu L et al | 2018 | Ethiopia | East Africa | case-control | 273 | – | Low risk |
| 17 | Woday A et al | 2019 | Ethiopia | East Africa | Cross-sectional | 345 | 22.6 | Low risk |
| 18 | Meshesha ADetal | 2020 | Ethiopia | East Africa | case-control | 386 | – | Low risk |
| 19 | Demisse AG et al | 2017 | Ethiopia | East Africa | Cross-sectional | 769 | 12.5 | Low risk |
| 20 | Kibret Y et a | 2018 | Ethiopia | East Africa | case-control | 380 | Low risk | |
| 21 | Mulugeta T et al | 2020 | Ethiopia | East Africa | case-control | 213 | Low risk | |
| 22 | Selamu A et al | 2019 | Ethiopia | East Africa | Cross-sectional | 371 | 20 | Low risk |
| 23 | G/medhin M et al | 2020 | Ethiopia | East Africa | case-control | 662 | Low risk | |
| 24 | Asfere NW et al | 2018 | Ethiopia | East Africa | Cross-sectional | 154 | 29.9 | Low risk |
| 25 | Bayih WA et al | 2020 | Ethiopia | East Africa | Cross-sectional | 582 | 28.4 | Low risk |
| 26 | Lake EA et al | 2019 | Ethiopia | East Africa | Cross-sectional | 278 | 25.7 | Low risk |
| 27 | Gebregziabher GT etal | 2020 | Ethiopia | East Africa | Cross-sectional | 267 | 18 | Low risk |
| 28 | Onyriuak et al | 2006 | Nigeria | West Africa | Cross-sectional | 2208 | 8.38 | Low risk |
| 29 | IgeOO et al | 2011 | Nigeria | West Africa | Cross-sectional | 398 | 12.6 | Low risk |
| 30 | G. I. McgilUgwu et al | 2012 | Nigeria | West Africa | retrospective chohort | 26,000 | 3.3 | Low risk |
| 31 | Halloran DR et al | 2008 | Zambia | East Africa | Cross-sectional | 182 | 23 | Low risk |
| 32 | Sepeku A et al | 2011 | Tanzania | East Africa | Cross-sectional | 192 | 21.1 | Low risk |
| 33 | Kibai K et al | 2017 | Kenya | East Africa | Cross-sectional | 422 | 29.1 | Low risk |
| 34 | Gichogo M et al | 2018 | Kenya | East Africa | Cross-sectional | 237 | 5.1 | Low risk |
| 35 | Abkika BM et al | 2018 | Chad | Central Africa | Cross-sectional | 7254 | 5.1 | Low risk |
| 36 | Biselele T et al | 2013 | Democratic Republic Congo | Central Africa | Cross-sectional | 902 | 4.4 | Low risk |
| 37 | Mande et al | 2018 | Democratic Republic Congo | Central Africa | Cross-sectional | 612 | 19.4 | Low risk |
| 38 | Foumane P et al | 2013 | Cameron | West Africa | case-control | 117 | – | Low risk |
| 39 | K. J. Nathoo et al. | 1990 | Zimbabwe | East Africa | case-control | 225 | – | Low risk |
| 40 | Iran J Child Neuroletal | 2013 | Cameron | West Africa | case-control | 1117 | 8.05 | Low risk |
Fig. 1A PRISMA flow diagram of articles screening and process of selection
Fig. 2The pooled prevalence of birth asphyxia among neonates in sub-Saharan Africa
Fig. 3Sub group analysis of magnitude of birth asphyxia by region in Sub-Saharan Africa
Fig. 4Funnel plot to determine publication bias among the included studies
fig. 5Sensitivity analysis of the included studies
Fig. 6the pooled effect of parity on birth asphyxia in Sub-Saharan Africa
Fig. 7the pooled effect of low birth weight on birth asphyxia in sub-Saharan Africa
Fig. 8The pooled effect of meconium-stained amniotic fluid on birth asphyxia in Sub-Saharan Africa
Fig. 9The pooled effect of gestational age on birth asphyxia in Sub-Saharan Africa