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NCT05730764

A Prediction Model and Assisted Decision-making System of Fertilization Disorders

Status unknown NA Last updated 22 November 2023
What this trial tests

NA trial testing Accurate prediction of fertilization disorders and clinical decision support systems assist doctors in decision-making in Infertility in 260 participants. Status unknown.

Timeline
15 January 2024
Primary endpoint
1 August 2024
1 August 2024

Quick facts

Lead sponsorPeking University Third Hospital
PhaseNA
StatusStatus unknown
Study typeINTERVENTIONAL
Allocationrandomized
Designparallel
Maskingnone
Primary purposediagnostic
Enrollment260
Start date15 January 2024
Primary completion1 August 2024
Estimated completion1 August 2024
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Peking University Third Hospital

Who can join

Adults 18 to 45, female only, with Infertility. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Infertility

Currently open trials in the same condition.

Other Peking University Third Hospital trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05730764.

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