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retrospective study to predict sga using longitudinal biometry

prediction of SGA/FGR neonates and related adverse perinatal outcome using longitudinal fetal biometry

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2023/03/050654
Enrollment
10401
Registered
2023-03-14
Start date
Unknown
Completion date
Unknown
Last updated
2023-04-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: O998- Other specified diseases and conditions complicating pregnancy, childbirth and the puerperium

Interventions

None listed

Sponsors

KMC Manipal
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Pregnancy booked in KH,Manipal with excellent dating.

Exclusion criteria

Exclusion criteria: multiple pregnancy any fetal anomaly

Design outcomes

Primary

MeasureTime frame
to study efficiency of three growth graphs-INTERGROWTH 21,WHO FETAL and Local Sonocare to detect SGA/FGRTimepoint: data collection by 12 weeks and assessment by 24 weeks.—

Secondary

MeasureTime frame
to identify best GESTATIONAL AGE To predict FGR/SGATimepoint: data collection by 12 weeks and assessment by 24 weeks—

Countries

India

Contacts

Public ContactDr Akhila Vasudeva

Kasturba Medical College,Manipal.

akhila.vasudeva@manipal.edu9591614792

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026