ArticleScientific reports2024
Trend, prevalence, and associated factors of uterine rupture at Nekemte Specialized Hospital, Oromia Regional State, Western Ethiopia.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Knowledge, attitude, and practice of birth attendants regarding partograph use and its association with birth outcomes: a cross sectional study in Iran.BMC pregnancy and childbirth · 2026Article
- Risk Profiles and Outcomes of Uterine Rupture: A Retrospective and Comparative Single-Center Study of Complete and Partial Ruptures.Journal of clinical medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Maternal morbidity and mortality have long been among the world's most challenging health issues. Uterine rupture is one of the peripartum complications that kills almost one in every thirteen mothers. However, there is limited evidence on uterine rupture trends, proportions, and determinants. Thus, this study assessed the trend, prevalence, and associated factors of uterine rupture at Nekemte Specialized Hospital, Oromia Regional State, Western Ethiopia. An institution-based cross-sectional study was conducted among 2661 clients selected using a systematic random selection technique among the data collected for the project between January 2014 and December 2022 at Nekemte Specialized Hospital. Data were collected through an interview-administered questionnaire and card review from March 2023 to August 2023. The collected data were checked, coded, and entered into Epi info version 7.2 and then exported to SPSS Version 27 for analysis. Logistic regression models were fitted to identify the factors of uterine rupture. Adjusted odds ratio with 95% Confidence Interval was estimated to measure the strength of the association, and statistical significance was declared at a p-value less than 0.05. The trend of uterine rupture declined from 1.54% in 2014 to 0.93% in 2022. The overall prevalence was 3.53% (95%CI: 2.7%, 4.3%). Low household income (Adjusted OR = 3.75, 95%CI: 1.97, 7.13), grandmultiparity (Adjusted OR = 7.78, 95%CI: 4.70, 12.88), having a history of obstetrics complications such as prolonged labor (Adjusted OR = 3.78, 95%CI:2.11, 6.75), a history of cesarean section (Adjusted OR = 2.49, 95%CI:1.42, 4.35), and history of uterine repair (Adjusted OR = 18.01, 95%CI: 6.81, 47.64) were significantly associated with uterine rupture. This finding showed that the trend is declining, and the proportion of uterine rupture is still higher. A more vigilant approach to increase access to lower-income mothers, prevent prolonged and obstructed labor, and maintain antenatal care with complete packages and a referral system are issues to be addressed to minimize the chance of uterine rupture among women.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.