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Obstetric and Neonatal Outcomes of Twin Pregnancy

NCT04588597 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 300

Last updated 2020-10-19

No results posted yet for this study

Summary

This multicenter study aims at assessing the natural history of twin pregnancy and developing a machine learning-based algorithm to predict clinical outcomes of twin pregnancy during pregnancy and delivery and to determine management strategies that are associated with best maternal and neonatal outcomes. This study will include at least 12 centers from different countries that present at least Europe, South America, Asia, and Africa. Data will be retrospectively collected from January 1st, 2010 to December 31st, 2019.

Conditions

  • Twin Pregnancy

Sponsors & Collaborators

  • Middle-East OBGYN Graduate Education Foundation

    collaborator OTHER

  • Assiut University

    lead OTHER

Principal Investigators

  • Sherif A Shazly, M.Sc · Assiut University

Eligibility

Min Age
18 Years
Max Age
45 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-11-01
Primary Completion
2021-11-01
Completion
2022-03-01

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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 NCT04588597 on ClinicalTrials.gov