Association Between Primary Language, Pelvic Organ Prolapse Stage, and Treatment

This study highlights inequity in the treatment of POP by primary language. The NEPL population had a similar rate of advanced POP and significantly higher rates of all the subcategories of prolapse. However, they were significantly less likely to undergo surgery. This suggests bias toward conservative measures in those with NEPL.

Authors

Institutions

Publication Details

Journal
Urogynecology
Published
2026-01-22
DOI
https://doi.org/10.1097/spv.0000000000001776
Primary Topic
Pelvic floor disorders treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association Between Primary Language, Pelvic Organ Prolapse Stage, and Treatment

Christy Stetter, Ciara Marshall, Allen R. Kunselman, Suveena Sharma et al.
Urogynecology
Pelvic floor disorders treatments
article

Association Between Primary Language, Pelvic Organ Prolapse Stage, and Treatment

Christy Stetter, Ciara Marshall, Allen R. Kunselman, Suveena Sharma, Sarah S. Boyd
article en

Abstract

This study highlights inequity in the treatment of POP by primary language. The NEPL population had a similar rate of advanced POP and significantly higher rates of all the subcategories of prolapse. However, they were significantly less likely to undergo surgery. This suggests bias toward conservative measures in those with NEPL.

Urogynecology
Pennsylvania State University (US), Penn State Milton S. Hershey Medical Center (US)
Quality Education
Openalex Percentile: Top 83%
Pelvic floor disorders treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.