Evidence map›Paper›PMID 42518893›Full record

ArticleCureus2026

Management of Anorectal Malformations at a Tertiary Hospital in Tanzania: A Retrospective Cross-Sectional Study.

Mohamed Ibrahim, Ahmed Salman, Elkhider Babiker

Abstract read
In one paragraph

Article in Cureus, 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

3 authors.

Mohamed IbrahimUrology, Queen Elizabeth Hospital Birmingham, Birmingham, GBR.
Ahmed SalmanDiabetes and Endocrinology, Heartlands Hospital, Birmingham, GBR.
Elkhider BabikerPaediatrics, Rwanda Military Hospital, Kigali, RWA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Anorectal malformations (ARMs) are among the most common congenital gastrointestinal anomalies and encompass a spectrum of defects requiring individualized, often staged, surgical management. Delayed diagnosis, limited access to specialist paediatric surgical services, and loss to follow-up remain significant challenges in low- and middle-income countries. Despite being a major tertiary referral centre, published data describing the presentation and management of ARMs in Tanzania are limited. This study aimed to describe the demographic characteristics, patterns of presentation, anatomical subtypes, surgical management, and treatment completion of children with ARMs managed at Muhimbili National Hospital (MNH), Tanzania. Methods A retrospective review of 100 ARM cases managed at MNH in 2023 was conducted. This study featured a 12-month study period. Data included demographics, ARM type, timing of diagnosis, surgical procedures, and treatment completion. Results The mean age at presentation was 52.4 weeks; 56% were female. The mean management time was 113 weeks. Most patients (84%) were diagnosed within the first two weeks of life. Imperforate anus without fistula (38%) and vestibular fistula (37%) were the most common types. Colostomy was performed in 88% of patients, mainly divided colostomy (86%). Posterior sagittal anorectoplasty (PSARP) was the predominant definitive repair (60%). Only 49% completed all stages of management, with ARM type significantly associated with completion (p = 0.049). Conclusion Management practices at MNH follow standard approaches, but prolonged treatment duration and low completion rates highlight the complexity of the malformations, along with the need for stronger follow-up systems and adequate, early diagnosis.

Indexed as

anorectal malformationscolostomymanagement patternspaediatric surgerystaged anoplasty

Identifiers

PMID42518893
PMCPMC13384532

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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.