Prediction models for the risk of spontaneous preterm birth based on maternal characteristics: a systematic review and independent external validation

Author:

Meertens Linda J.E.1,van Montfort Pim1ORCID,Scheepers Hubertina C.J.2,van Kuijk Sander M.J.3,Aardenburg Robert4,Langenveld Josje4,van Dooren Ivo M.A.5,Zwaan Iris M.6,Spaanderman Marc E.A.2,Smits Luc J.M.1

Affiliation:

1. Department of Epidemiology; Care and Public Health Research Institute (CAPHRI); Maastricht University; Maastricht The Netherlands

2. Department of Obstetrics and Gynecology; School for Oncology and Developmental Biology (GROW); Maastricht University Medical Center; Maastricht The Netherlands

3. Department of Clinical Epidemiology and Medical Technology Assessment (KEMTA); Care and Public Health Research Institute (CAPHRI); Maastricht University Medical Center; Maastricht The Netherlands

4. Department of Obstetrics and Gynecology; Zuyderland Medical Center; Heerlen The Netherlands

5. Department of Obstetrics and Gynecology; Sint Jans Gasthuis Weert; Weert The Netherlands

6. Department of Obstetrics and Gynecology; Laurentius Hospital; Roermond The Netherlands

Funder

ZonMw

The Netherlands Organization for Health Research and Development

Pregnancy and Childbirth Program

Publisher

Wiley

Subject

Obstetrics and Gynaecology,General Medicine

Reference40 articles.

1. Epidemiology and causes of preterm birth;Goldenberg;Lancet,2008

2. An overview of mortality and sequelae of preterm birth from infancy to adulthood;Saigal;Lancet,2008

3. Primary, secondary, and tertiary interventions to reduce the morbidity and mortality of preterm birth;Iams;Lancet,2008

4. Prenatal administration of progesterone for preventing preterm birth in women considered to be at risk of preterm birth;Dodd;Cochrane Database Syst Rev,2013

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