Evidence map›Paper›PMID 42022593›Full record

ReviewHealth science reports2026

The Relationship Between Hypertensive Disorders of Pregnancy and PreLabor Rupture of Membranes in Ethiopia: A Systematic Review and Meta-Analysis of Observational Studies.

Ebrahim Msaye Assefa, Seid Mohammed Abdu

Abstract readReview
In one paragraph

Review in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

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

2 authors.

Ebrahim Msaye AssefaDepartment of Biomedical Sciences, School of Medicine, College of Medicine and Health Sciences Wollo University Dessie Ethiopia.ORCID https://orcid.org/0000-0002-3189-7258
Seid Mohammed AbduDepartment of Biomedical Sciences, School of Medicine, College of Medicine and Health Sciences Wollo University Dessie Ethiopia.ORCID https://orcid.org/0000-0001-8775-8348

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Prelabor rupture of membranes is a significant obstetric complication with serious maternal and neonatal consequences. Hypertensive disorders of pregnancy are among the leading contributors to adverse pregnancy outcome. However, the relationship between hypertensive disorders of pregnancy and prelabor rupture of membranes in Ethiopia has not been clearly quantified. This meta-analysis aimed to provide a pooled estimate of the association between hypertensive disorders of pregnancy and prelabor rupture of membranes. Methods: PubMed, Hinari, Google Scholar, and ScienceDirect were systematically searched for observational studies on assessing the association between hypertensive disorders of pregnancy and prelabor rupture of membranes. Data was analyzed using Stata version 17.0 using a random effects model. Risk of bias was appraised using the Joanna Briggs Institute checklist. Pooled odds ratio and their 95% CI were computed, followed by heterogeneity assessment using the Results: This analysis incorporated 14 studies with a total of 4230 participants and revealed significant heterogeneity ( Conclusion: Hypertensive disorders of pregnancy are significantly associated with prelabor rupture of membranes in Ethiopia. Strengthened antenatal screening and timely management are needed to reduce prelabor rupture of membranes risk, and targeted maternal health programs should be prioritized. Further prospective studies are recommended to confirm causality and guide interventions.

Indexed as

Ethiopiahypertensive disorders of pregnancymeta‐analysisprelabor rupture of membranessystematic review

Identifiers

PMID42022593
PMCPMC13097406

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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.