Evidence map›Paper›PMID 40127034›Full record

ArticlePloS one2025

Risk prediction models to determine maternal and newborn adverse pregnancy outcomes in low and middle-income countries: A scoping review protocol.

Douglas Aninng Opoku, Peter Agyei-Baffour, Stephaney Gyaase, Eliezer Odei-Lartey, Joseph Osarfo, Jonathan Gmanyanmi, Francis Appiah, George Adjei, Yeetey Enuameh

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Douglas Aninng OpokuSchool of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.ORCID https://orcid.org/0000-0003-2321-387X
Peter Agyei-BaffourSchool of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Stephaney GyaaseKintampo Health Research Centre, Kintampo, Ghana.
Eliezer Odei-LarteyKintampo Health Research Centre, Kintampo, Ghana.
Joseph OsarfoDepartment of Community Health, School of Medicine, University of Health and Allied Sciences, Ho, Ghana.
Jonathan GmanyanmiSchool of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.ORCID https://orcid.org/0000-0002-3046-1508
Francis AppiahSchool of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
George AdjeiDepartment of Community Medicine, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana.
Yeetey EnuamehSchool of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGlobally, low and middle-income countries (LMICs) account for the majority of the adverse pregnancy outcomes. Risk prediction models (RPMs) can guide physicians in making clinical decisions to improve maternal and newborn health. However, there is scanty data on RPMs in determining adverse maternal and newborn outcomes in LMICs. Hence, this scoping review aims to describe the RPMs and the risk factors which have been used to determine both maternal and newborn adverse outcomes of pregnancy in LMICs.

methodsThis scoping review will be guided by the Preferred Reporting Items for Systematic Reviews and Meta-analysis extension for Scoping Reviews (PRISMA-ScR) and the JBI methodology for scoping reviews. The review would employ the Population, Concept, Context (PCC) framework to include studies that reported RPMs to determine either adverse maternal or newborn outcomes of pregnancy or both in LMICs. A literature search will be conducted in four databases for both published and unpublished articles on RPMs for adverse maternal or newborn outcomes from January 1, 2000, to June 26, 2024. We will use the JBI approach for study selection, data extraction, and presentation. The screening and data extraction will be conducted by two independent reviewers.

conclusionThis scoping review will provide a comprehensive assessment of RPMs for adverse maternal and newborn outcomes in LMICs. This study will help gain knowledge on the up-to-date literature on risk prediction models for adverse pregnancy outcomes which can be useful for researchers and clinicians in making clinical decisions. Review registration: Open Science Framework https://doi.org/10.17605/OSF.IO/B9CKJ.

Indexed as

Pregnancy ComplicationsPregnancy OutcomeDeveloping CountriesFemaleHumansInfant, NewbornPregnancyRisk AssessmentRisk FactorsScoping Reviews as Topic

Identifiers

PMID40127034
PMCPMC11932470

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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.