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Induction Of Labor: Predictors of Outcomes

NCT04350437 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 3000

Last updated 2020-04-17

No results posted yet for this study

Summary

Induction of labor is a widely used intervention in OBGYN practice. Doctors still use the old Bishop score in patients' follow up. It remains difficult to anticipate the outcomes and the possibility of adverse effects during this process. In this large prospective multicentric interventional study, we aim to develop a more precise and sensitive score based on machine learning tools programmed on python 3.8

This new tool will account for many variables in patient demography(age, race, weight ... etc ) and medical history (previous OBGYN surgery, comorbidities .... etc). These variables not usually found in the classic bishop score. We predict that our analysis will aid doctors in making better decisions and efficiently predict the outcomes, need for switching to operative delivery and possible complications.

Machine learning and digital calculation of hazards will allow more precise assessment and more efficient management during IOL as it considers variables not included in clinical scores.

this study aims to provide modern and efficient assessment parameters to guide clinical decision making during the IOL process and help doctors predict its outcomes based on subtle factors not usually considered.

This will minimize the complications and allow more evidence-based practice.

Conditions

  • Induction of Labor Affected Fetus / Newborn

Interventions

DRUG

induction of labor

Giving drugs to facilitate uterine contractions and fasten the process of delivery

Sponsors & Collaborators

  • Aswan University

    collaborator OTHER

  • Middle-East OBGYN Graduate Education Foundation

    collaborator OTHER

  • Assiut University

    lead OTHER

Principal Investigators

  • Sherif Shazly, M.S · Assiut University

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Max Age
40 Years
Sex
FEMALE
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-07-01
Primary Completion
2021-06-30
Completion
2021-07-30

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04350437 on ClinicalTrials.gov