Chelsea and Westminster Hospital NHS Foundation Trust
London, United Kingdom
NCT Number: NCT07114081
The goal of this observational study is to develop a non-invasive predictive algorithm for a diagnosis of endometriosis in a group of symptomatic women attending for their first laparoscopic surgical procedure for symptoms that are suspicious for pelvic endometriosis and to understand the role of peripheral markers of inflammation in enhancing this diagnosis.
The main questions it aims to answer are:
Can a non-invasive quantitative algorithm ('Endometriosis Diagnostic Index') accurately predict the presence or absence of pelvic endometriosis? Is the peripheral inflammatory environment (for example, presence of inflammatory cytokines and chemokine) different between people with and without endometriosis?
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Notify Me18 year–50 year
Female
Observational
London, United Kingdom
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Minimal access surgery to determine the presence of characteristic endometriosis lesions on visual inspection of the pelvis
Time frame: 24 months
Multiple logistic regression model of predictive variables
Time frame: 24 months
Cytokine multiplex for markers of inflammation in peripheral blood
Imperial College London
Other
Exploring Pre-operative Prediction of Pelvic Endometriosis, the Local Inflammatory Environment and Response to Surgical Treatment
Acronym: ESPRIT
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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