Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Multicenter Study for Diagnostic Validation of a Laboratory Test for the Diagnosis of Endometriosis

Diamens FlexCo · 2026
ClinicalTrials.gov · Datasets · License: Public Domain · 2026
Open Source ↗
endometriosis
Endometriosis affects at least 1 in 10 women worldwide and is associated with a diagnostic delay of 5-10 years. Currently, definitive diagnosis requires invasive laparoscopy, which is costly and burdensome for patients. This multicenter diagnostic validation study investigates a non-invasive laboratory test for the diagnosis of endometriosis based on the analysis of biomarkers from menstrual blood samples. Study Objective: The primary objective is to evaluate the diagnostic accuracy of a laboratory protocol for biomarker analysis from menstrual blood samples. Performance metrics including Area Under the Curve (AUC), sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), positive likelihood ratio (LR+), and negative likelihood ratio (LR-) will be assessed by comparing women with confirmed endometriosis to confirmed controls. Study Design: This is a prospective multicenter diagnostic study. Menstrual blood samples are self-collected by participants. Participants: A total of 200 menstruating women aged 14-49 years will be enrolled across study sites. Participants are allocated to one of two cohorts. Study Sites: The study is conducted at multiple gynecological centers in Austria and Germany, with planned expansion to additional sites. Sponsor: Diamens FlexCo, Linz, Austria Expected Study Duration: 3 years
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 899567
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive