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Quantitative fibronectin to help decision-making in women with symptoms of preterm labour (QUIDS) part 1: Individual participant data meta-analysis and health economic analysis.

Stock, SJ; Wotherspoon, LM; Boyd, KA; Morris, RK; Dorling, J; Jackson, L; Chandiramani, M; David, AL; Khalil, A; Shennan, A; et al. Stock, SJ; Wotherspoon, LM; Boyd, KA; Morris, RK; Dorling, J; Jackson, L; Chandiramani, M; David, AL; Khalil, A; Shennan, A; Hodgetts Morton, V; Lavender, T; Khan, K; Harper-Clarke, S; Mol, BW; Riley, RD; Norrie, J; Norman, JE (2018) Quantitative fibronectin to help decision-making in women with symptoms of preterm labour (QUIDS) part 1: Individual participant data meta-analysis and health economic analysis. BMJ Open, 8 (4). e020796. ISSN 2044-6055 https://doi.org/10.1136/bmjopen-2017-020796
SGUL Authors: Khalil, Asma

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Abstract

INTRODUCTION: The aim of the QUIDS study is to develop a decision support tool for the management of women with symptoms and signs of preterm labour, based on a validated prognostic model using quantitative fetal fibronectin (qfFN) concentration, in combination with clinical risk factors. METHODS AND ANALYSIS: The study will evaluate the Rapid fFN 10Q System (Hologic, Marlborough, Massachusetts) which quantifies fFN in a vaginal swab. In part 1 of the study, we will develop and internally validate a prognostic model using an individual participant data (IPD) meta-analysis of existing studies containing women with symptoms of preterm labour alongside fFN measurements and pregnancy outcome. An economic analysis will be undertaken to assess potential cost-effectiveness of the qfFN prognostic model. The primary endpoint will be the ability of the prognostic model to rule out spontaneous preterm birth within 7 days. Six eligible studies were identified by systematic review of the literature and five agreed to provide their IPD (n=5 studies, 1783 women and 139 events of preterm delivery within 7 days of testing). ETHICS AND DISSEMINATION: The study is funded by the National Institute of Healthcare Research Health Technology Assessment (HTA 14/32/01). It has been approved by the West of Scotland Research Ethics Committee (16/WS/0068). PROSPERO REGISTRATION NUMBER: CRD42015027590. VERSION: Protocol version 2, date 1 November 2016.

Item Type: Article
Additional Information: This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Keywords: fetal fibronectin, health economics, individual patient data meta-analysis, pregnancy, preterm birth
SGUL Research Institute / Research Centre: Academic Structure > Molecular and Clinical Sciences Research Institute (MCS)
Journal or Publication Title: BMJ Open
ISSN: 2044-6055
Language: eng
Dates:
DateEvent
7 April 2018Published
2 March 2018Accepted
Publisher License: Creative Commons: Attribution-Noncommercial 4.0
Projects:
Project IDFunderFunder ID
14/32/01National Institute for Health Researchhttp://dx.doi.org/10.13039/501100000272
PubMed ID: 29627817
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/109730
Publisher's version: https://doi.org/10.1136/bmjopen-2017-020796

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