Evidence map›Paper›PMID 39829341›Full record

ReviewThe Journal of international medical research2025

A rare case of chronic complete uterine inversion in a postmenopausal woman: a case report and literature review.

Jie Hu, Weili Yang, Fang Zhang, Chunhong Yan

Abstract readCase ReportsReview
In one paragraph

Review in The Journal of international medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Jie HuDepartment of Gynecology, The Affiliated People's Hospital of Ningbo University, Ningbo, China.ORCID 0009-0004-8621-8517
Weili YangDepartment of Gynecology, The Affiliated People's Hospital of Ningbo University, Ningbo, China.
Fang ZhangDepartment of Gynecology, The Affiliated People's Hospital of Ningbo University, Ningbo, China.
Chunhong YanDepartment of Gynecology, The Affiliated People's Hospital of Ningbo University, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uterine inversion is a rare condition that refers to the collapse of the fundus into the uterine cavity and occurs in puerperal and non-puerperal conditions. Non-puerperal uterine inversion is particularly infrequent. Diagnosing non-puerperal uterine inversion is often challenging because it resembles vaginal or cervical tumors and pelvic organ prolapse. Furthermore, this condition alters the anatomical structure of pelvic organs, thereby complicating diagnosis and treatment, and potentially leading to misdiagnosis with grave consequences. We report a case of a postmenopausal woman who presented with irregular vaginal bleeding and dysuria for 2 months. Preoperative enhanced pelvic magnetic resonance imaging suggested a benign tumor combined with uterine inversion, which was subsequently confirmed during surgery. A laparoscopic attempt to reposition the uterus failed, leading to successful repositioning via an abdominal incision and subsequent total abdominal hysterectomy with bilateral salpingo-oophorectomy. A histopathological examination showed a submucosal leiomyoma, which was smaller than that typically reported in other cases. We also conducted a review of previous cases to offer empirical guidance for the diagnosis and treatment of this rare condition.

Indexed as

LeiomyomaPostmenopauseUterine InversionUterine NeoplasmsFemaleHumansHysterectomyMagnetic Resonance ImagingMiddle AgedSalpingo-oophorectomyUteruscase reporthysterectomymagnetic resonance imagingNon-puerperal uterine inversionsubmucosal leiomyomavaginal bleeding

Identifiers

PMID39829341
PMCPMC11744594

What OpenQuestion holds

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Registered trials

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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.