ReviewObstetrics and gynecology international2026
Epidemiology, Histopathologic Patterns, and Clinical Characteristics of Gestational Trophoblastic Diseases in Ethiopia: A Systematic Review and Meta-Analysis Study.
Review in Obstetrics and gynecology international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Epidemiology, Histopathologic Patterns, and Clinical Characteristics of Gestational Trophoblastic Diseases in Ethiopia: A Systematic Review and Meta-Analysis Study.Obstetrics and gynecology international · 2026Review
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
Background: Gestational trophoblastic diseases (GTDs) are rare trophoblastic disorders that contribute substantially to maternal morbidity. However, the epidemiology and clinical characteristics of GTD-related evidence from Ethiopia remain limited and scattered. Consequently, the national burden, histopathological distribution, and clinical presentation of GTD in Ethiopia are not well defined. In response to this gap in the literature, this systematic review and meta-analysis sought to quantify the pooled prevalence of GTD and to synthesize available evidence on its histopathological and clinical profiles in Ethiopia. Methods: PubMed, Scopus, Embase, the Cochrane Library, CINAHL, and Google Scholar were systematically searched, supplemented by manual searches of local journals and institutional repositories. The study protocol was registered and implemented in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. All studies reporting the prevalence of GTD in Ethiopia up to December 5, 2025, were eligible for inclusion. To stabilize variances when pooling proportions, a random-effects meta-analysis was performed by using the Freeman-Tukey double arcsine transformation. Publication bias and heterogeneity across studies were evaluated. Results: Seven studies met the inclusion criteria, out of a total of 436 records collected and evaluated, comprising 121,248 women who had delivered. The pooled prevalence of GTD in Ethiopia was 0.8% (95% CI: 0.2%-1.3%). Hydatidiform mole was the most common histopathological subtype, with complete and partial moles accounting for 47.1% and 20.7% of cases, respectively. Vaginal bleeding was the most frequently reported clinical presentation (88.4%), followed by a uterus larger than gestational age (34.8%). Conclusions: This systematic review and meta-analysis demonstrated that the prevalence of GTD in Ethiopia is slightly higher than estimates reported from other regions. Hydatidiform mole was the predominant histopathological subtype, and vaginal bleeding was the most common clinical presentation. These results highlight the necessity of enhancing early detection and diagnostic capacity, particularly at the primary healthcare level.
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.