Evaluating Progestogens for Preventing Preterm Birth International Collaborative (EPPPIC): Meta-analysis of Individual Participant Data from Randomised Controlled Trials

B. W. Mol, S. Wood, L. Rode, A. Tabor, M. M. Aboulghar, R. Porcher, M. V. Senat, R. Bagga, S. Rajaram, A. Azargoon, E. Bahrami, A. Nassar, E. Schuit, M. A. Van Os, C. A. Crowther, Z. Alfirevic, L. Beresford, K. C. Dietz, L. Duley, A. HodkinsonA. Llewellyn, J. E. Norman, J. Norrie, S. Sharif, M. Simmonds, L. A. Stewart, R. A.E. Walker, T. Walley, K. Wright, S. C. Blackwell, S. N. Caritis, C. A. Combs, J. M. Croswell, A. F. Das, K. Dickersin, A. Elimian, W. A. Grobman, K. A. Maurel, D. S. McKenna, K. Moley, J. Mueller, J. M. O'Brien, D. J. Rouse, C. Sakala, J. L. Simpson, K. Smith, E. A. Thom, E. P. Whitlock

Research output: Contribution to journalComment/debatepeer-review

Abstract

(Abstracted from Lancet 2021;397:1183-1194) Preterm birth is the most common cause of neonatal morbidity and mortality. When infants are born preterm, they are at increased risk for having difficulties at birth, health problems throughout infancy, and death during the first year of life.

Original languageEnglish (US)
Pages (from-to)464-466
Number of pages3
JournalObstetrical and Gynecological Survey
Volume76
Issue number8
DOIs
StatePublished - 2021

ASJC Scopus subject areas

  • Obstetrics and Gynecology

Fingerprint

Dive into the research topics of 'Evaluating Progestogens for Preventing Preterm Birth International Collaborative (EPPPIC): Meta-analysis of Individual Participant Data from Randomised Controlled Trials'. Together they form a unique fingerprint.

Cite this