Evidence map›Paper›PMID 40212136›Full record

ArticleAnnals of medicine and surgery (2012)2025

Risk factors for uterine adenomyosis diagnosed by MRI in women of reproductive age.

Narges Afzali, Leili Hafizi, Shamim Abdollahi

Abstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2025. 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.

Narges AfzaliDepartment of Radiology, Faculty of Medicine, Mashhad Medical Sciences, Islamic Azad University, Mashhad, Iran.
Leili HafiziDepartment of Obstetrics and Gynecology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Shamim AbdollahiFaculty of Medicine, Mashhad Medical Sciences, Islamic Azad University, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adenomyosis is a condition characterized by the presence of endometrial glands and stroma within the myometrium. It can manifest as either focal or diffuse. While histopathological examination of the uterus following hysterectomy remains the gold standard for definitive diagnosis, non-invasive imaging techniques, particularly magnetic resonance imaging (MRI), are crucial for diagnosis. This study aimed to investigate the risk factors and associated pathologies in women with MRI-confirmed adenomyosis. Methods: In this case-control study, 50 women of reproductive age with MRI-confirmed adenomyosis were recruited as the case group, and fifty other women who underwent pelvic MRI due to various indications that were not diagnosed as adenomyosis were included as the control group. Pelvic MRI with and without intravenous contrast was done for all patients. Factors such as age, smoking, number of pregnancies, history of uterine surgery, endometriosis, ovarian cyst, and coexisting leiomyoma were searched and recorded in both groups, and their relationship with uterine adenomyosis was statistically analyzed. The software used was IBM-SPSS v.26. A Significance level of less than 5% was considered. Results: No significant difference was found in terms of age ( Conclusion: The study findings suggest significant associations between endometriosis, number of pregnancies, and history of uterine surgery with adenomyosis. Therefore, managing these risk factors appropriately can substantially reduce the occurrence of adenomyosis.

Indexed as

adenomyosismagnetic resonance imagingreproductive agerisk factors

Identifiers

PMID40212136
PMCPMC11981308

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.