- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06179420
The Effectiveness of Advanced Decision Support Tool (OPT-IVF) for IVF Treatment
This prospective study is subject to approval of institutional medical research ethics committee. Patient undergoing second cycle IVF will be enrolled into the intervention group. Intervention involved using a clinical decision support tool, Opt-IVF to guide gonadotrophins dosing and trigger dates for a personalized controlled ovarian stimulation cycle based on the distribution of follicle sizes on day 1 and day 5, and hormone dosages given on day 1 to 4.
Patients will undergo transvaginal ultrasound exam on day 1 and day 5 of the cycle to determine the number and size of follicles present. The data is used in the Opt-IVF decision support tool to suggest Gonadotropin dosage for D5 and beyond and to recommend the antagonist start day and trigger day.
Clinical investigators will not override the Opt-IVF recommended dosage in any patients.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Muhammad Azrai Abu
- Phone Number: +60196410944
- Email: azraiabu1983@gmail.com
Study Locations
-
-
Wilayah Persekutuan Kuala Lumpur
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Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia, 56000
- Advanced Reproductive Centre
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patient undergoing 2nd cycle of IVF
Exclusion Criteria:
- Polycystic ovarian syndrome patient
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
standard IVF regime protocol based on clinician decision
The dosage of gonadotrophin and time of transvaginal ultrasound decided by clinician
|
total dosage in IU
Other Names:
|
|
clinical decision support tool, Opt-IVF for IVF regime protocol
The dosage of gonadotrophin and time of transvaginal ultrasound decided by a clinical decision support tool ( OPt -IVF)
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total dosage in IU
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
total cumulative dosage of Gonadotropins
Time Frame: for 1 year duration
|
number of total dosage that utilize during one cycle of IVF treatment
|
for 1 year duration
|
|
Total number of matured oocytes
Time Frame: for 1 year duration
|
number of matured oocytes following the stimulation protocol
|
for 1 year duration
|
|
total number of good quality blastocyst
Time Frame: for 1 year duration
|
total blastocyst achieved after each sti,ulation protocol
|
for 1 year duration
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Muhammad Azrai Abu, MD, Department Of Obstetrics And Gynecology, Ukm Medical Centre
Publications and helpful links
General Publications
- Leahy BD, Racowsky C, Needleman D. Inferring simple but precise quantitative models of human oocyte and early embryo development. J R Soc Interface. 2021 Sep;18(182):20210475. doi: 10.1098/rsif.2021.0475. Epub 2021 Sep 8.
- Simopoulou M, Sfakianoudis K, Antoniou N, Maziotis E, Rapani A, Bakas P, Anifandis G, Kalampokas T, Bolaris S, Pantou A, Pantos K, Koutsilieris M. Making IVF more effective through the evolution of prediction models: is prognosis the missing piece of the puzzle? Syst Biol Reprod Med. 2018 Oct;64(5):305-323. doi: 10.1080/19396368.2018.1504347. Epub 2018 Aug 8.
- Hariton E, Chi EA, Chi G, Morris JR, Braatz J, Rajpurkar P, Rosen M. A machine learning algorithm can optimize the day of trigger to improve in vitro fertilization outcomes. Fertil Steril. 2021 Nov;116(5):1227-1235. doi: 10.1016/j.fertnstert.2021.06.018. Epub 2021 Jul 10.
- Fanton M, Nutting V, Rothman A, Maeder-York P, Hariton E, Barash O, Weckstein L, Sakkas D, Copperman AB, Loewke K. An interpretable machine learning model for individualized gonadotrophin starting dose selection during ovarian stimulation. Reprod Biomed Online. 2022 Dec;45(6):1152-1159. doi: 10.1016/j.rbmo.2022.07.010. Epub 2022 Jul 28.
- Correa N, Cerquides J, Arcos JL, Vassena R. Supporting first FSH dosage for ovarian stimulation with machine learning. Reprod Biomed Online. 2022 Nov;45(5):1039-1045. doi: 10.1016/j.rbmo.2022.06.010. Epub 2022 Jun 18.
- Curchoe CL, Flores-Saiffe Farias A, Mendizabal-Ruiz G, Chavez-Badiola A. Evaluating predictive models in reproductive medicine. Fertil Steril. 2020 Nov;114(5):921-926. doi: 10.1016/j.fertnstert.2020.09.159.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- UKMPPI/111/8/JEP-2023-735
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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