A Prediction Model and Assisted Decision-making System of Fertilization Disorders
1 other identifier
interventional
260
1 country
1
Brief Summary
The goal of this clinical trial is to test the accuracy of the forecasting system we develop. The main question it aims to answer is:
- Whether the clinical prediction system predicts the incidence of fertilization disorders accurately.
- The fertilization disorder prediction system predicts whether and how much the outcome differs from the doctor. Participants will receive treatment assisted by a predictive system or receive general treatment. Researchers will compare incidence of fertilization disorders to see if the fertilization disorder prediction system makes correct predictions.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2024
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 16, 2023
CompletedFirst Posted
Study publicly available on registry
February 16, 2023
CompletedStudy Start
First participant enrolled
January 15, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 1, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
August 1, 2024
CompletedNovember 22, 2023
November 1, 2022
7 months
January 16, 2023
November 20, 2023
Conditions
Outcome Measures
Primary Outcomes (1)
Incidence of fertilization disorders
Occurrence of fertilization disorders in participants
through study completion, an average of 3 months
Study Arms (2)
Support systems assist doctors in decision-making
EXPERIMENTALDoctors judge the risk of fertilization disorders and make clinical decisions with the support of a decision-making system.
Clinicians follow a routine protocol
OTHERDoctors judge the risk of fertilization disorders and make clinical decisions based on clinical experience
Interventions
With the assistance of accurate prediction of fertilization disorders and clinical decision support systems, clinicians predict and judge the probability and key factors of fertilization disorders of patients, and formulate and implement personalized diagnosis and treatment plans based on the prediction results
Treatment is performed by the clinician according to the usual protocol.
Eligibility Criteria
You may qualify if:
- infertile couples
- have indications for acceptance of IVF or ICSI
- Both parties sign an informed consent form and can complete the follow-up visit
You may not qualify if:
- At least one of the spouses has contraindics to IVF or ICSI
- Major diseases
- Fresh cycle, PGT, IVM
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Peking University Third Hospital
Beijing, Beijing Municipality, 100191, China
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 16, 2023
First Posted
February 16, 2023
Study Start
January 15, 2024
Primary Completion
August 1, 2024
Study Completion
August 1, 2024
Last Updated
November 22, 2023
Record last verified: 2022-11