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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
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 AN...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5892771/ https://www.ncbi.nlm.nih.gov/pubmed/29627817 http://dx.doi.org/10.1136/bmjopen-2017-020796 |
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author | Stock, Sarah J Wotherspoon, Lisa M Boyd, Kathleen A Morris, Rachel K Dorling, Jon Jackson, Lesley Chandiramani, Manju David, Anna L Khalil, Asma Shennan, Andrew Hodgetts Morton, Victoria Lavender, Tina Khan, Khalid Harper-Clarke, Susan Mol, Ben W Riley, Richard D Norrie, John Norman, Jane E |
author_facet | Stock, Sarah J Wotherspoon, Lisa M Boyd, Kathleen A Morris, Rachel K Dorling, Jon Jackson, Lesley Chandiramani, Manju David, Anna L Khalil, Asma Shennan, Andrew Hodgetts Morton, Victoria Lavender, Tina Khan, Khalid Harper-Clarke, Susan Mol, Ben W Riley, Richard D Norrie, John Norman, Jane E |
author_sort | Stock, Sarah J |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5892771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-58927712018-04-13 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, Sarah J Wotherspoon, Lisa M Boyd, Kathleen A Morris, Rachel K Dorling, Jon Jackson, Lesley Chandiramani, Manju David, Anna L Khalil, Asma Shennan, Andrew Hodgetts Morton, Victoria Lavender, Tina Khan, Khalid Harper-Clarke, Susan Mol, Ben W Riley, Richard D Norrie, John Norman, Jane E BMJ Open Obstetrics and Gynaecology 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. BMJ Publishing Group 2018-04-07 /pmc/articles/PMC5892771/ /pubmed/29627817 http://dx.doi.org/10.1136/bmjopen-2017-020796 Text en © 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. 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/ |
spellingShingle | Obstetrics and Gynaecology Stock, Sarah J Wotherspoon, Lisa M Boyd, Kathleen A Morris, Rachel K Dorling, Jon Jackson, Lesley Chandiramani, Manju David, Anna L Khalil, Asma Shennan, Andrew Hodgetts Morton, Victoria Lavender, Tina Khan, Khalid Harper-Clarke, Susan Mol, Ben W Riley, Richard D Norrie, John Norman, Jane E 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Obstetrics and Gynaecology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5892771/ https://www.ncbi.nlm.nih.gov/pubmed/29627817 http://dx.doi.org/10.1136/bmjopen-2017-020796 |
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