Molecular Analysis for Gastro-Esophageal Cancer: Multicenter Discrete Choice Experiment

Status

Recruiting

Phases

Unknown

Study type

Interventional

Source

ClinicalTrials.gov

Registry ID

NCT06346080

Acronym

MAGECmultiDiCE

Enrollment

2200

Registered

2024-04-03

Start date

2024-08-01

Completion date

2026-08-01

Last updated

2026-02-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Esophageal Cancer, Gastric Cancer

Keywords

Esophageal cancer, Survey, Gastric cancer

Brief summary

The goal of this survey is to investigate the participants' preference for a specific screening/diagnostic tool to detect and assess gastro-esophageal cancer. The main question it aims to answer are: * Which diagnostic modality is preferred by patients and the general population? * Which features of the diagnostic test are most detrimental in the decision-making for one or the other modality? * Are geographical differences present in regard to the preference for a diagnostic modality? Participants will be asked to complete a survey of 20-25min, including a brief intake regarding their socio-economic status. This approach will allow us to correct for confounding factors.

Interventions

OTHERSurvey

Discrete choice survey

Study design

Allocation

Intervention model

SINGLE_GROUP

Primary purpose

OTHER

Masking

NONE

Intervention model description

A survey will be conducted in a single group of participants from different geographical regions and backgrounds

Eligibility

Sex/Gender

ALL

Age

18 Years to 85 Years

Healthy volunteers

Yes

Inclusion criteria

1. Individuals \>18yo to 75yo (upper age limit of Barrett's surveillance) 2. Access to computer or smartphone 3. Clear understanding of available languages of the experiment (English, French, Dutch, Spanish, German, Chinese, Japanese)

Exclusion criteria

1. Individuals less than 18yo and more than 75yo 2. Incarcerated individuals

Design outcomes

Primary

Measure	Time frame	Description
The rate of contribution of diagnostic features to the preference of participants	2 years	A part-worth analysis, expressed as percentage, from a discrete choice experiment (questionnaire) will assess the features that are most important to the participants
The percentage differences in preference of participants between geographical regions	2 years	Differences in preferences will be compared between different geographical regions using chi-squared or McNemar's test

Secondary

Measure	Time frame	Description
Assess the rate patient-level demographics influence the importance of a test feature, expressed as an odds ratio	2 years	Assess the influence of demographic characteristics on the decision-making process using a multivariable logistic regression model, providing odds ratios.
Assess the rate of trade-off demonstrated as odds ratio between cancer-related mortality reduction and costs	2 years	Based on an anticipated cancer detection and cost, we will assess the willingness-to-pay using a multivariable logistic regression, providing odds ratios.

Countries

Belgium

Contacts

CONTACTStijn Vanstraelen, MD

stijn.vanstraelen@kuleuven.be16346822

PRINCIPAL_INVESTIGATORStijn Vanstraelen, MD

UZ Leuven

PRINCIPAL_INVESTIGATORPhilippe Nafteux, MD, PhD