Evidence map›Paper›PMID 38079406›Full record

ArticlePloS one2023

Adenomyosis in women undergoing hysterectomy for abnormal uterine bleeding associated with uterine leiomyomas.

Neal M Lonky, Vicki Chiu, Cecilia Portugal, Erika L Estrada, John Chang, Heidi Fischer, Jamie B Vora, Lawrence I Harrison, Lauren Peng, Malcolm G Munro

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 17% of its field
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. 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

10 authors at 4 institutions in 1 country.

Neal M LonkyKaiser Permanente Southern California, Orange County, Department of Obstetrics & Gynecology, Anaheim, California, United States of America.ORCID 0000-0002-3067-0609
Vicki ChiuKaiser Permanente Southern California, Department of Research and Evaluation, Pasadena, California, United States of America.
Cecilia PortugalKaiser Permanente Southern California, Department of Research and Evaluation, Pasadena, California, United States of America.
Erika L EstradaKaiser Permanente Southern California, Department of Research and Evaluation, Pasadena, California, United States of America.
John ChangKaiser Permanente Southern California, Department of Research and Evaluation, Pasadena, California, United States of America.ORCID 0000-0003-2821-9744
Heidi FischerKaiser Permanente Southern California, Department of Research and Evaluation, Pasadena, California, United States of America.
Jamie B VoraAbbVie Inc, North Chicago, Illinois, United States of America.
Lawrence I HarrisonKaiser Permanente Southern California, Orange County, Department of Obstetrics & Gynecology, Anaheim, California, United States of America.
Lauren PengDepartment of Radiology, Kaiser Permanente, Los Angeles Medical Center, Los Angeles, California, United States of America.
Malcolm G MunroDepartment of Obstetrics and Gynecology, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America.
Kaiser Permanente · USKaiser Permanente Anaheim Medical Center · USAbbVie (United States) · USUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUterine leiomyomas and adenomyosis are both common and often associated with abnormal uterine bleeding (AUB), including the symptom of heavy menstrual bleeding (HMB). Understanding the prevalence of adenomyosis in women with uterine leiomyomas could inform clinicians and patients in a way that may improve therapeutic approaches.

objectiveTo explore the prevalence of adenomyosis in a group of women who underwent hysterectomy for AUB-L, to determine the prevalence of submucous leiomyomas, and to examine the utility of preoperative ultrasound to detect the presence of adenomyosis.

methodsThe Kaiser Permanente Hysterectomy Database (KPHD) was searched for women aged 18-52 undergoing hysterectomy for leiomyoma-associated chronic AUB (AUB-L) in 2018 and 2019. A target sample of 400 comprised those with at least 3 years in the Health System. Radiologists evaluated preoperative pelvic ultrasound images to determine leiomyoma size and level 2 FIGO type (submucous or other), and the linked electronic medical record abstracted for clinical features, including histopathological evidence of adenomyosis.

resultsOf the 370 subjects that met the study criteria, adenomyosis was identified via histopathology in 170 (45.9%). There was no difference in the adenomyosis prevalence with (47.1%) and without (43.0%) at least one submucous leiomyoma. Subgroup analysis of ultrasound images by an expert radiologist for the presence of adenomyosis demonstrated a positive predictive value of 54.0% and a negative predictive value of 43.4%.

conclusionsAdenomyosis was present in almost half of this AUB-L cohort undergoing hysterectomy and was equally prevalent in those with and without submucous leiomyomas as determined by sonographic evaluation. The imaging findings are in accord with prior investigators and demonstrate that 2-D ultrasound is insensitive to the presence of adenomyosis when the uterus is affected by leiomyomas. Further research is necessary to determine the impact of various adenomyosis phenotypes on the presence and severity of the symptom of HMB.

Indexed as

AdenomyosisLeiomyomaMenorrhagiaUterine DiseasesUterine NeoplasmsFemaleHumansHysterectomyRetrospective StudiesUterine Hemorrhage

Identifiers

PMID38079406
PMCPMC10712893
OpenAlexW4389547417

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.