Evidence map›Paper›PMID 37430099›Full record

ArticleReproductive sciences (Thousand Oaks, Calif.)2023

Estrogen and Androgen Receptor Status in Uterosacral Ligaments of Women with Pelvic Organ Prolapse Stratified by the Pelvic Organ Prolapse Histology Quantification System.

David J Orlicky, E Erin Smith, Rachel Bok, Marsha K Guess, Lauren G Rascoff, Jaime S Arruda, Juana A Hutchinson-Colas, Joshua Johnson, Kathleen A Connell

Open access · hybridAbstract read
In one paragraph

Article in Reproductive sciences (Thousand Oaks, Calif.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Salivary Free Testosterone as a Potential Biomarker for Pelvic Organ Prolapse in Postmenopausal Women: A Prospective Case-Control Study.International journal of urology : official journal of the Japanese Urological Association · 2026
    Observational
  2. Article
  3. Review
  4. Article
  5. Review
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

9 authors at 3 institutions in 1 country.

David J OrlickyDepartment of Pathology, University of Colorado School of Medicine, Aurora, CO, USA. david.orlicky@cuanschutz.edu.ORCID http://orcid.org/0000-0002-0417-1400
E Erin SmithDepartment of Pathology, University of Colorado School of Medicine, Aurora, CO, USA.
Rachel BokDepartment of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA.
Marsha K GuessDepartment of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA.
Lauren G RascoffDepartment of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA.
Jaime S ArrudaDepartment of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA.
Juana A Hutchinson-ColasRobert Wood Johnson Medical School, Rutgers Health, New Brunswick, NJ, USA.
Joshua JohnsonDepartment of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA. JOSHUA.2.JOHNSON@CUANSCHUTZ.EDU.
Kathleen A ConnellDepartment of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA.
University of Colorado Denver · USRutgers, The State University of New Jersey · USUniversity of Colorado Anschutz Medical Campus · US

Funding

The epigenetic signature in women with pelvic organ prolapseR21HD089555 · NICHD · UNIVERSITY OF COLORADO DENVER · PI CONNELL, KATHLEEN ANNE · 2016 to 2018
$363k
NICHD NIH HHS R21 HD089555
6 · The paper itself

Abstract

Menopause is a significant risk factor for pelvic organ prolapse (POP), suggesting that ovarian sex steroids play a major role in the etiology of the condition. POP results from failure of the uterine-cervix-vagina support structures, including the uterosacral ligament (USL). We previously identified consistent degenerative USL phenotypes that occur in POP and used their characteristics to develop a standardized POP Histologic Quantification System (POP-HQ). In this study, POP and matched control USL tissue was first segregated into the unique POP-HQ phenotypes, and specimens were then compared for estrogen receptor (ER) alpha (ERα), ERbeta (ERβ), the G-protein estrogen receptor (GPER), and androgen receptor (AR) content via immunohistochemical staining. ER and AR expression levels in the control USL tissues were indistinguishable from those observed in the POP-A phenotype, and partially overlapped with those of the POP-I phenotype. However, control-USL steroid receptor expression was statistically distinct from the POP-V phenotype. This difference was driven mainly by the increased expression of GPER and AR in smooth muscle, connective tissue, and endothelial cells, and increased expression of ERα in connective tissue. These findings support a multifactorial etiology for POP involving steroid signaling that contributes to altered smooth muscle, vasculature, and connective tissue content in the USL. Furthermore, these data support the concept that there are consistent and distinct degenerative processes that lead to POP and suggest that personalized approaches are needed that target specific cell and tissues in the pelvic floor to treat or prevent this complex condition.

Indexed as

Pelvic Organ ProlapseReceptors, EstrogenEndothelial CellsEstrogen Receptor alphaEstrogen Receptor betaEstrogensFemaleHumansLigamentsReceptors, AndrogenEstrogen Receptor alphaEstrogen Receptor betaEstrogensReceptors, AndrogenReceptors, EstrogenAndrogen receptorsEstrogen receptorsPelvic organ prolapseUterosacral ligament

Identifiers

PMID37430099
PMCPMC10692001
OpenAlexW4383760637

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.