Association Between Age, Race, Ethnicity, and Body Mass Index and Time to Endometriosis Diagnosis

Disparities exist in the time to endometriosis diagnosis after pelvic and perineal pain diagnosis. Obesity, older age, Black race, and Hispanic ethnicity are associated with longer times from a pelvic pain diagnosis to an endometriosis diagnosis.

Authors

Institutions

Publication Details

Journal
O&G Open
Published
2025-03-27
DOI
https://doi.org/10.1097/og9.0000000000000072
Citations
1
Primary Topic
Endometriosis Research and Treatment
Type
article
Field-Weighted Citation Impact
1.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association Between Age, Race, Ethnicity, and Body Mass Index and Time to Endometriosis Diagnosis

Tommaso Falcone, Elliott G. Richards, Marisa R. Imbroane, Hanna Kim et al.
1 citations
O&G Open
Endometriosis Research and Treatment
1.70
article

Association Between Age, Race, Ethnicity, and Body Mass Index and Time to Endometriosis Diagnosis

Tommaso Falcone, Elliott G. Richards, Marisa R. Imbroane, Hanna Kim, Yasamin Fazeli
article en
1 citations

Abstract

Disparities exist in the time to endometriosis diagnosis after pelvic and perineal pain diagnosis. Obesity, older age, Black race, and Hispanic ethnicity are associated with longer times from a pelvic pain diagnosis to an endometriosis diagnosis.

O&G OpenVol. 2(2)
Twitter (United States) (US), Cleveland Clinic Lerner College of Medicine (US), National Confidential Enquiry into Patient Outcome and Death (GB)
Openalex Percentile: Top 18%
Endometriosis Research and Treatment
1.70
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.