Evidence map›Paper›PMID 33481960›Full record

ArticlePloS one2021

Determinants of preterm survival in a tertiary hospital in Ghana: A ten-year review.

Evans Kofi Agbeno, Joseph Osarfo, Joyce Ashong, Betty Anane-Fenin, Emmanuel Okai, Anthony Amanfo Ofori, Mohammed Aliyu, Douglas Aninng Opoku, Sebastian Ken-Amoah, Joycelyn A Ashong and 1 more

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. A Scoping Review of Preterm Births in Sub-Saharan Africa: Burden, Risk Factors and Outcomes.International journal of environmental research and public health · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Evans Kofi AgbenoDepartment of Obstetrics and Gynaecology, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana/Cape Coast Teaching Hospital, Cape Coast, Ghana.ORCID 0000-0003-1725-2944
Joseph OsarfoGhana Health Service, Asante Mampong Municipal hospital, Ashanti Region, Ghana.
Joyce AshongDepartment of Paediatrics, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana/Cape Coast Teaching Hospital, Cape Coast, Ghana.ORCID 0000-0001-5371-104X
Betty Anane-FeninDepartment of Obstetrics and Gynaecology, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana/Cape Coast Teaching Hospital, Cape Coast, Ghana.
Emmanuel OkaiDepartment of Paediatrics, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana/Cape Coast Teaching Hospital, Cape Coast, Ghana.
Anthony Amanfo OforiDepartment of Obstetrics and Gynaecology, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana/Cape Coast Teaching Hospital, Cape Coast, Ghana.
Mohammed AliyuSchool of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Douglas Aninng OpokuSchool of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Sebastian Ken-AmoahDepartment of Obstetrics and Gynaecology, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana/Cape Coast Teaching Hospital, Cape Coast, Ghana.ORCID 0000-0001-8293-6862
Joycelyn A AshongDepartment of Obstetrics and Gynaecology, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana/Cape Coast Teaching Hospital, Cape Coast, Ghana.
Hora SoltaniFaculty of Health and Wellbeing, Sheffield Hallam University, Sheffield, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrematurity (gestational age <37 completed weeks) accounts for the majority of neonatal deaths worldwide and most of these occur in the low-resource countries. Understanding factors that determine the best chances of preterm survival is imperative in order to enhance the care of neonates and reduce adverse outcomes in such complicated births.

aimThis was to find out the proportions of preterm babies who survived at the Special Care Baby Unit (SCBU) in the Cape Coast Teaching Hospital (CCTH) and the factors which influenced their survival.

methodThis was a retrospective review of data on all the live preterm babies seen at the SCBU of CCTH from 2010 to 2019. Data on 2,254 babies that met the inclusion criteria were extracted. Descriptive statistics were generated and tests of association done with chi-square and multivariable logistic regression. OUTCOME: The main outcome measure was the proportion of live preterm neonates who were discharged after SCBU admissions.

resultsThe CCTH had a total of 27,320 deliveries from 2010 to 2019. Of these, 1,282 were live preterm births, giving a prevalence of live preterm babies over the ten-year period of 4.7% (1,282/27,320). An increasing trend in prevalence was observed with 2019 recording the highest at 9% (271/3027). Most (48.8%) of the deliveries were vaginal, 39.2% were by caesarean section (CS); the mode of birth for 12% of the women were not documented. The mean gestational age was 31.8 (±2.77) weeks. Of the birth weights documented, <1000g babies accounted for 11.9%, 1000-1499g babies made up 34.8%, while 1500g to 2499g babies accounted for 42.6%. The babies with weights >2500g made up only 3.7%. The average length of hospital stay was 8.3 (±9.88) days. Regarding the main outcome variable, 67.6% were discharged alive, 27.6% died and 4.9% were unaccounted for due to incomplete documentation. Factors which influenced survival were: birth weight (p <0.001); gestational age (p <0.001); mode and place of delivery (p <0.001 for both); APGAR scores at 1st and 5th minutes (p <0.001); and length of stay at the SCBU (p <0.001). No association was found for sex of the baby, maternal age and parity.

conclusionThis study shows the possibility of achieving good preterm survival rates through the provision of specialised neonatal care, even in resource-constrained countries. This provides an updated benchmark for clinical decision-making and antenatal counselling. It also highlights the problem of inadequate data capture in our part of the world, which needs considerable improvement.

Indexed as

Birth WeightInfant, Low Birth WeightInfant MortalityInfant, PrematureTertiary Care CentersDelivery, ObstetricFemaleGestational AgeGhanaHumansInfantInfant, NewbornMalePatient DischargePregnancyRetrospective Studies

Identifiers

PMID33481960
PMCPMC7822519

What OpenQuestion holds

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.