Title |
Which intrauterine growth restricted fetuses at term benefit from early labour induction? A secondary analysis of the DIGITAT randomised trial
|
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Published in |
European Journal of Obstetrics & Gynecology & Reproductive Biology, October 2013
|
DOI | 10.1016/j.ejogrb.2013.10.014 |
Pubmed ID | |
Authors |
Parvin Tajik, Linda van Wyk, Kim E. Boers, Saskia le Cessie, Mohammad Hadi Zafarmand, Frans Roumen, Joris A.M. van der Post, Martina Porath, Maria G. van Pampus, Marc E.A. Spaanderdam, Anneke Kwee, Johannes J. Duvekot, Henk A. Bremer, Friso M.C. Delemarre, Kitty W.M. Bloemenkamp, Christianne J.M. de Groot, Christine Willekes, Jan M.M. van Lith, Patrick M. Bossuyt, Ben W.J. Mol, Sicco A. Scherjon, for the DIGITAT Study Group |
Abstract |
The Disproportionate Intrauterine Growth Intervention Trial at Term (DIGITAT trial) showed that in women with suspected intrauterine growth restriction (IUGR) at term, there were no substantial outcome differences between induction of labour and expectant monitoring. The objective of the present analysis is to evaluate whether maternal or fetal markers could identify IUGR fetuses who would benefit from early labour induction. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
France | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Denmark | 1 | <1% |
Peru | 1 | <1% |
Unknown | 178 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 22 | 12% |
Student > Master | 22 | 12% |
Student > Bachelor | 22 | 12% |
Student > Ph. D. Student | 18 | 10% |
Student > Postgraduate | 10 | 5% |
Other | 39 | 21% |
Unknown | 49 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 81 | 45% |
Nursing and Health Professions | 13 | 7% |
Agricultural and Biological Sciences | 8 | 4% |
Unspecified | 5 | 3% |
Immunology and Microbiology | 4 | 2% |
Other | 14 | 8% |
Unknown | 57 | 31% |