NCT06963528 is a clinical trial in Gestational Diabetes, sponsored by University of Oxford.

Who is sponsoring NCT06963528?

NCT06963528 is sponsored by University of Oxford.

What condition does NCT06963528 study?

NCT06963528 studies Gestational Diabetes, Pregnancy Complications, Pregnancy in Diabetic, Pregnancy, High Risk, Diabetes Complications, Pregnancy Induced Hypertension, Pregnancy Weight Gain, Gestational Hypertension, Gestational Weight Gain, Gestational Diabetes Mellitus in Pregnancy, Gestational Complication, Gestational Mother, Pregnancy Preterm, Pregnancy Bleeding, Pregnancy Loss, Birth Weight, Birth Outcome, Adverse, Birth, Preterm, Birth Hypoxia.

Is NCT06963528 still recruiting?

NCT06963528 is currently active, enrolled. Last updated 18 May 2025.

Last reviewed 2025-05-18 · How we verify

NCT06963528

Name: Drug Landscape Pharmaceutical Database
Creator: Drug Landscape
Published: 2026-01-01
License: https://creativecommons.org/licenses/by/4.0/

Gestational Diabetes Monitoring and Management

Active, enrolled Last updated 18 May 2025

What this trial tests

trial in Gestational Diabetes in 1,800 participants. Participants enrolled and being followed up; not accepting new ones.

Timeline

1 December 2021

Primary endpoint
1 September 2023

31 August 2025

Quick facts

Lead sponsor	University of Oxford
Status	Active, enrolled
Study type	OBSERVATIONAL
Enrollment	1,800
Start date	1 December 2021
Primary completion	1 September 2023
Estimated completion	31 August 2025
Sites	1 location across United Kingdom

Conditions studied

Gestational Diabetes — all drugs for Gestational Diabetes →
Pregnancy Complications — all drugs for Pregnancy Complications →
Pregnancy in Diabetic — all drugs for Pregnancy in Diabetic →
Pregnancy, High Risk — all drugs for Pregnancy, High Risk →

Sponsor

University of Oxford

Who can join

Adults 18 to 99, female only, with Gestational Diabetes or Pregnancy Complications. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The primary goal is to predict the clinical outcomes of mother and baby using blood glucose and other routinely collected clinical data in pregnancy to predict adverse outcomes at birth in women with GDM. The secondary goal is to develop models to predict optimal blood glucose testing schedules for pregnant women. Exploratory Objectives are (1) to understand patterns of dosage and / or medication choice and (2) to describe different phenotypes of gestational diabetes based on multiple data input.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

Verify or expand the search:

Other recruiting trials for Gestational Diabetes

Currently open trials in the same condition.

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NCT07174245 — Pregnancy and Postpartum CGM in GDM · recruiting

Other University of Oxford trials

Trials by the same sponsor.

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NCT07345910 — Environment, Pathogens, and Host Interactions in Melioidosis · not yet recruiting
NCT07434973 — Stratification and Treatment in Early Psychosis Study - PROMOTE · Phase 3 · not yet recruiting
NCT07460401 — 'Do Patient Characteristics Associate With Poor Outcome With Femoral Acetabular Impingement Syndrome (FAIS) Following Ph · not yet recruiting

Verify against primary sources

ClinicalTrials.gov — authoritative US registry record
WHO ICTRP — international registry index
EU Clinical Trials Register
Sponsor press releases (Google)

Data sources for this page

Trial protocol + status: ClinicalTrials.gov NCT06963528 (US National Library of Medicine, public domain)
Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
Sponsor: as reported to ClinicalTrials.gov by University of Oxford
Last refreshed: 18 May 2025

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/NCT06963528.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing