Evidence map›Paper›PMID 40510523›Full record

ReviewHealth science reports2025

Association Between Maternal Undernutrition and Pre-Labor Rupture of Membranes in Ethiopia: A Systematic Review and Meta-Analysis of Observational Studies.

Ebrahim Msaye Assefa, Hussen Abdu, Altaseb Beyene Kassaw, Mekonnen Belete, Amare Abera Tareke, Addis Alem, Mohammed Derso Bihonegn, Abdulaziz Kebede Kassaw, Ahmed Juhar Temam, Gashaw Abebe and 4 more

Abstract readReview
In one paragraph

Review in Health science reports, 2025. 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

14 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
Hussen AbduDepartment of Biomedical Sciences, School of Medicine, College of Medicine and Health Sciences Wollo University Dessie Ethiopia.
Altaseb Beyene KassawDepartment of Biomedical Sciences, School of Medicine, College of Medicine and Health Sciences Wollo University Dessie Ethiopia.
Mekonnen BeleteDepartment of Biomedical Sciences, School of Medicine, College of Medicine and Health Sciences Wollo University Dessie Ethiopia.
Amare Abera TarekeDepartment of Biomedical Sciences, School of Medicine, College of Medicine and Health Sciences Wollo University Dessie Ethiopia.
Addis AlemDepartment of Biomedical Sciences, School of Medicine, College of Medicine and Health Sciences Wollo University Dessie Ethiopia.
Mohammed Derso BihonegnDepartment of Biomedical Sciences, School of Medicine, College of Medicine and Health Sciences Wollo University Dessie Ethiopia.
Abdulaziz Kebede KassawDepartment of Health Informatics, College of Medicine and Health Sciences Wollo University Dessie Ethiopia.
Ahmed Juhar TemamDepartment of Biomedical Sciences, School of Medicine, College of Medicine and Health Sciences Wollo University Dessie Ethiopia.
Gashaw AbebeDepartment of Biomedical Sciences, School of Medicine, College of Medicine and Health Sciences Wollo University Dessie Ethiopia.
Melese Shenkut AbebeDepartment of Biomedical Sciences, School of Medicine, College of Medicine and Health Sciences Wollo University Dessie Ethiopia.
Gosa MankelklDepartment of Biomedical Sciences, School of Medicine, College of Medicine and Health Sciences Wollo University Dessie Ethiopia.
Zeleke GetoDepartment of Biomedical Sciences, School of Medicine, College of Medicine and Health Sciences Wollo University Dessie Ethiopia.
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: In Ethiopia, pre-labor rupture of membranes impacts maternal and perinatal health, while maternal undernutrition remains a major public health issue. The findings of previous studies have been inconsistent, and no nationwide pooled data exist. Therefore, this review aims to investigate the association between maternal undernutrition and pre-labor rupture of membranes in Ethiopia. Methods: Comprehensive and systematic searches were conducted across various databases, including PubMed, Google Scholar, Hinari, and ScienceDirect. The data were extracted using Microsoft Excel and analyzed with STATA version 17. The risk of bias and certainty of the evidence were evaluated. Heterogeneity was assessed using Results: A total of twelve observational studies, involving 4016 participants, were included in this systematic review and meta-analysis. Most studies showed a low risk of bias and a moderate level of certainty in the evidence. The pooled results indicated a significant association between maternal undernutrition and pre-labor rupture of membranes in Ethiopia (pooled OR = 3.24; 95% CI: 2.08-5.06), with substantial heterogeneity ( Conclusion: This meta-analysis shows a significant association between maternal undernutrition and an increased risk of pre-labor rupture of membranes in Ethiopia. Therefore, health institutions should assess the nutritional status of pregnant women during prenatal visits for counseling and supplementation programs. Policymakers need to develop public health policies to address maternal nutrition. We recommend further research that explore the role of specific nutrient deficiencies in pre-labor rupture of membranes. Review Registration ID: PROSPERO CRD42024579002.

Indexed as

ethiopiamaternal undernutritionmeta‐analysispre‐labor rupture of membranessystematic review

Identifiers

PMID40510523
PMCPMC12158655

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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.