Study on Induction of Labor vs. Expectant Management for IUGR at Term
Author Information
Author(s): Kim E Boers, Denise Bijlenga, Ben WJ Mol, Saskia LeCessie, Erwin Birnie, Marielle G van Pampus, Rob H Stigter, Kitty WM Bloemenkamp, Claudia A van Meir, Joris AM van der Post, Dick J Bekedam, Lucy SM Ribbert, Addie P Drogtrop, Paulien CM van der Salm, Anjoke JM Huisjes, Christine Willekes, Frans JME Roumen, H Hubertina CJ Scheepers, Karin de Boer, Johannes J Duvekot, Jim G Thornton, Sicco A Scherjon
Primary Institution: Leiden University Medical Center
Hypothesis
Is induction of labor more effective than expectant management for women with a suspected IUGR fetus at term?
Conclusion
The trial aims to determine which management strategy is better for maternal and neonatal outcomes in cases of suspected IUGR at term.
Supporting Evidence
- 80% of IUGR infants are born at term.
- Induction of labor is common in cases of suspected IUGR.
- The study aims to include 325 patients per arm.
- Long-term outcomes of IUGR infants include behavioral problems and developmental delays.
- Previous studies show mixed results on the benefits of induction versus expectant management.
- Quality of life will be assessed using various questionnaires.
- Data will be collected on maternal and neonatal outcomes.
Takeaway
This study is trying to find out if it's better to induce labor or wait for the baby to be born naturally when doctors think the baby isn't growing well inside the mom.
Methodology
A multi-centre randomized controlled trial comparing induction of labor with expectant management in women suspected of having an IUGR fetus.
Potential Biases
There may be risks of bias due to non-response and inclusion bias in certain demographic groups.
Limitations
The study may face challenges in participant recruitment and potential biases in patient selection.
Participant Demographics
Women with singleton pregnancies suspected of having an IUGR child, aged between 36+0 and 41+0 weeks.
Statistical Information
P-Value
0.05
Confidence Interval
95%
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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