Evidence map›Paper›PMID 41847670›Full record

ReviewCRSLS : MIS case reports from SLS

Minimally Invasive Management of a Mullerian Anomaly: A Clinical Decision-Making Tree.

Madhumitha Prabhakaran, Radha Syed

Abstract readCase ReportsReview
In one paragraph

Review in CRSLS : MIS case reports from SLS. 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.

Madhumitha PrabhakaranDepartment of Obstetrics and Gynecology, The Brooklyn Hospital Center, Brooklyn, NY, USA. (Dr. Prabhakaran).
Radha SyedRichmond University Medical Center SI, The Brooklyn Hospital Center, Brooklyn, NY, USA. (Dr. Syed).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To describe the presentation and management of a symptomatic Müllerian duct abnormality in a teenager and propose an evidence based clinical decision-making tree on when to treat based on a thorough literature review. Case Presentation: A 17-year-old nulligravid woman presented with a 5-year history of menorrhagia, dysmenorrhea and pelvic pain with medical history significant for a congenitally absent left kidney and ureter. Pelvic ultrasound suggested a bicornuate uterus, but a pelvic MRI with/without contrast diagnosed her with a unicornuate uterus with a noncommunicating left rudimentary horn containing hematometra. The patient underwent surgical intervention with vaginoscopy, hysteroscopy, and eventually laparoscopic resection of left rudimentary horn, left salpinectomy, and an appendectomy which confirmed endometriosis. The patency of the right fallopian tube was confirmed with chromotubation and the patient's reproductive potential was maintained. Postoperatively, the patient was symptom free and started on hormonal suppression for endometriosis. Results: Based on this case and a thorough literature review we propose a clinical evidence based clinical decision-making tree on how to approach and treat mullerian abnormalities. Conclusion: Müllerian duct anomalies require individualized management for symptom relief, prevention of complications, and preserving reproductive potential. Our clinical decision-making tree provides a guide for clinicians. Further research is needed to optimize long term outcomes of these rare conditions.

Indexed as

Bicornuate UterusMinimally Invasive Surgical ProceduresMullerian DuctsAdolescentDecision TreesEndometriosisFemaleHematometraHumansLaparoscopyUterusAdolescentEndometriosisHematometraLaparoscopyMinimally invasive surgical proceduresMüllerian duct anomaliesRudimentary hornUnicornuate uterus

Identifiers

PMID41847670
PMCPMC12991813

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

None linked

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.