Impact of COVID-19 on Pregnancy Outcomes: a Systematic Review

NCT ID: NCT06677281

Last Updated: 2024-11-06

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

1 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-05-03

Study Completion Date

2024-08-25

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

This systematic review aims to evaluate the impact of COVID-19 on pregnancy outcomes. It synthesizes data from various studies to provide insights into the effects of the virus on maternal and fetal health. The review focuses on key outcomes such as preterm birth, maternal complications, and neonatal health, utilizing comprehensive literature from peer-reviewed journals. By analyzing existing studies, we aim to identify trends and gaps in research regarding COVID-19 and pregnancy. This review is intended to inform healthcare providers and pregnant individuals about potential risks and considerations during the pandemic.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

COVID-19 Pregnancy Outcomes Maternal Health Neonatal Health

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Systematic Review of COVID-19's Impact on Pregnancy Outcomes

This study is a systematic review of existing literature that examines the effects of COVID-19 on pregnancy outcomes, including maternal health, neonatal health, and obstetric complications. It synthesizes data from various studies to provide an overview of the potential risks associated with COVID-19 infection during pregnancy. This intervention does not involve any new clinical trials or direct patient interaction.

Intervention Type OTHER

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Pregnant individuals diagnosed with COVID-19.
* Studies reporting pregnancy outcomes related to COVID-19 published between January 2020 and the present.
* Articles that include quantitative data on maternal and fetal outcomes.

Exclusion Criteria

* Studies that do not report on COVID-19-related pregnancy outcomes.
* Non-peer-reviewed articles or grey literature.
* Research focusing on non-pregnant populations.
Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Zahedan University of Medical Sciences

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Hamidreza Kouhpayeh

Assistant professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Zahedan University of Medical Sciences

Zahedan, Sistan and Baluchestan, Iran

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Iran

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

COVID-PREG-2024-001

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.