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NCT06090968

Umbilical Cord Milking Versus Immediate Cord Clamping in Full Term Neonates (≥ 37 Weeks) Requiring Resuscitation

Completed NA Last updated 9 July 2024
What this trial tests

NA trial testing Umbilical cord milking in Hypoxic-Ischemic Encephalopathy in 200 participants. Completed in 4 March 2024.

Timeline
5 February 2022
Primary endpoint
4 February 2024
4 March 2024

Quick facts

Lead sponsorLady Hardinge Medical College
PhaseNA
StatusCompleted
Study typeINTERVENTIONAL
Allocationrandomized
Designparallel
Maskingdouble
Primary purposeprevention
Enrollment200
Start date5 February 2022
Primary completion4 February 2024
Estimated completion4 March 2024
Sites1 location across India

Drugs / interventions tested

Conditions studied

Sponsor

Lady Hardinge Medical College

Who can join

Adults 37 Weeks to 41 Weeks, any sex, with Hypoxic-Ischemic Encephalopathy or Perinatal Asphyxia. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The objective of the study is to compare the incidence of Hypoxic ischemic encephalopathy (all stages) among singleton term neonates (≥ 37 weeks) requiring resuscitation who will undergo Umbilical cord milking as compared to Immediate cord clamping.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

Verify or expand the search:

Other trials of Umbilical cord milking

Trials testing the same drug.

Other recruiting trials for Hypoxic-Ischemic Encephalopathy

Currently open trials in the same condition.

Other Lady Hardinge Medical College trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

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/NCT06090968.

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