A prognostic model, including quantitative fetal fibronectin, to predict preterm labour: the QUIDS meta-analysis and prospective cohort study

A prognostic model, including quantitative fetal fibronectin, to predict preterm labour: the QUIDS meta-analysis and prospective cohort study

Background: The diagnosis of preterm labour is challenging. False-positive diagnoses are common and result in unnecessary, potentially harmful treatments (e.g. tocolytics, antenatal corticosteroids and magnesium sulphate) and costly hospital admissions. Measurement of fetal fibronectin in vaginal fl...

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Bibliographic Details
Main Authors: Sarah J Stock, Margaret Horne, Merel Bruijn, Helen White, Robert Heggie, Lisa Wotherspoon, Kathleen Boyd, Lorna Aucott, Rachel K Morris, Jon Dorling, Lesley Jackson, Manju Chandiramani, Anna David, Asma Khalil, Andrew Shennan, Gert-Jan van Baaren, Victoria Hodgetts-Morton, Tina Lavender, Ewoud Schuit, Susan Harper-Clarke, Ben Mol, Richard D Riley, Jane Norman, John Norrie
Format: Article
Language:English
Published: NIHR Journals Library 2021-09-01
Series:Health Technology Assessment
Subjects:
preterm labour
pregnancy
fetal fibronectin
prognostic model
individual participant data level meta-analysis
neonatal
parturition
Online Access:https://doi.org/10.3310/hta25520

Internet

https://doi.org/10.3310/hta25520

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