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Individualised Endometrial Cancer Risk Stratification by Bayesian Prediction Model (ENDORISK), Optimizing Clinical Implementation (ENDORISK-I)

R

Radboud University Medical Center

Status

Enrolling

Conditions

Endometrial Cancer

Treatments

Diagnostic Test: ENDORISK personalized risk assesment for lymph node metastases in endometrial cancer.

Study type

Interventional

Funder types

Other

Identifiers

NCT07200466
NL86300.000.24
14032 (Other Grant/Funding Number)

Details and patient eligibility

About

Rationale: Preoperative identification of patients at risk for lymph node metastasis (LNM) is challenging in endometrial cancer (EC). Therefore, a Bayesian network model called ENDORISK was developed and validated in three external cohorts to improve preoperative risk stratification. The next step is to implement and evaluate whether use of the model improves daily clinical practice. Objective: The ENDORISK implementation (ENDORISK-I) study aims to prospectively evaluate whether implementation of ENDORISK in daily clinical practice improves preoperative risk stratification. Study design: A stepped wedge non inferiority study in which two oncology regions will consecutively start implementation of ENDORISK with one year interval. The ENDORISK model will be filled in and used in preoperative treatment counselling. Results will be compared to current standard clinical care which is prospectively evaluated in both regions since March 2022 in the 'evaluation of care in endometrial cancer' study (2021-7400). Study population: all consecutive patients recently diagnosed with early stage EC who are eligible for surgical treatment, who understand Dutch and are able to fill in a digital or paper questionnaire can be included. Main study parameters/endpoints: The ENDORISK implementation (ENDORISK-I) study aims to prospectively evaluate implementation of ENDORISK in daily clinical practice by investigating:

  • The proportion of identified LNM in patients with lymph node staging (positive predictive value (PPV)) compared to standard care
  • Proportion of patients who decide to have lymph node status assessed in ENDORISK care compared to standard care
  • Preoperative information provision for patients and shared-decision making with the use of ENDORISK compared to standard care
  • Patients' disease- specific-, overall survival, and health-related quality of life compared to standard care
  • Patients' and doctors' use of and experiences with the ENDORISK-model
  • Impact of ENDORISK on regional care costs

Enrollment

735 estimated patients

Sex

Female

Ages

45+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Diagnosed with early stage (FIGO stage I-II) endometrial carcinoma (every grade permitted)
  • Eligible for primary surgical treatment (neo-adjuvant therapy is permitted)

Exclusion criteria

  • Unable to give informed consent
  • No understanding of Dutch or English language
  • Rare types of endometrial cancer, such as endometrial stroma cell sarcoma

Trial design

Primary purpose

Diagnostic

Allocation

Non-Randomized

Interventional model

Single Group Assignment

Masking

None (Open label)

735 participants in 2 patient groups

Control
No Intervention group
Description:
The control arm is a group of patients from our previous 'evaluation of care' study which underwent standard care for endometrial cancer between march of 2022 and the start of the ENDORISK-I study. This group serves as a control group for the intervention arm.
Intervention
Experimental group
Description:
The intervention group are patients receiving a personalized risk on lymph node metastases as predicted by the ENDORISK model, they also receive a treatment plan (hysterectomy + bilateral salpingo-oophorectomy with or without lymph node surgery) based on this personalized risk.
Treatment:
Diagnostic Test: ENDORISK personalized risk assesment for lymph node metastases in endometrial cancer.

Trial documents
2

Trial contacts and locations

14

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Central trial contact

Hanny M.A. Pijnenborg, MD, PhD; Ruben C.G. Koek, MD / Drs

Data sourced from clinicaltrials.gov

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