Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
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
_version_ 1783313212848996352
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
work_keys_str_mv AT stocksarahj quantitativefibronectintohelpdecisionmakinginwomenwithsymptomsofpretermlabourquidspart1individualparticipantdatametaanalysisandhealtheconomicanalysis
AT wotherspoonlisam quantitativefibronectintohelpdecisionmakinginwomenwithsymptomsofpretermlabourquidspart1individualparticipantdatametaanalysisandhealtheconomicanalysis
AT boydkathleena quantitativefibronectintohelpdecisionmakinginwomenwithsymptomsofpretermlabourquidspart1individualparticipantdatametaanalysisandhealtheconomicanalysis
AT morrisrachelk quantitativefibronectintohelpdecisionmakinginwomenwithsymptomsofpretermlabourquidspart1individualparticipantdatametaanalysisandhealtheconomicanalysis
AT dorlingjon quantitativefibronectintohelpdecisionmakinginwomenwithsymptomsofpretermlabourquidspart1individualparticipantdatametaanalysisandhealtheconomicanalysis
AT jacksonlesley quantitativefibronectintohelpdecisionmakinginwomenwithsymptomsofpretermlabourquidspart1individualparticipantdatametaanalysisandhealtheconomicanalysis
AT chandiramanimanju quantitativefibronectintohelpdecisionmakinginwomenwithsymptomsofpretermlabourquidspart1individualparticipantdatametaanalysisandhealtheconomicanalysis
AT davidannal quantitativefibronectintohelpdecisionmakinginwomenwithsymptomsofpretermlabourquidspart1individualparticipantdatametaanalysisandhealtheconomicanalysis
AT khalilasma quantitativefibronectintohelpdecisionmakinginwomenwithsymptomsofpretermlabourquidspart1individualparticipantdatametaanalysisandhealtheconomicanalysis
AT shennanandrew quantitativefibronectintohelpdecisionmakinginwomenwithsymptomsofpretermlabourquidspart1individualparticipantdatametaanalysisandhealtheconomicanalysis
AT hodgettsmortonvictoria quantitativefibronectintohelpdecisionmakinginwomenwithsymptomsofpretermlabourquidspart1individualparticipantdatametaanalysisandhealtheconomicanalysis
AT lavendertina quantitativefibronectintohelpdecisionmakinginwomenwithsymptomsofpretermlabourquidspart1individualparticipantdatametaanalysisandhealtheconomicanalysis
AT khankhalid quantitativefibronectintohelpdecisionmakinginwomenwithsymptomsofpretermlabourquidspart1individualparticipantdatametaanalysisandhealtheconomicanalysis
AT harperclarkesusan quantitativefibronectintohelpdecisionmakinginwomenwithsymptomsofpretermlabourquidspart1individualparticipantdatametaanalysisandhealtheconomicanalysis
AT molbenw quantitativefibronectintohelpdecisionmakinginwomenwithsymptomsofpretermlabourquidspart1individualparticipantdatametaanalysisandhealtheconomicanalysis
AT rileyrichardd quantitativefibronectintohelpdecisionmakinginwomenwithsymptomsofpretermlabourquidspart1individualparticipantdatametaanalysisandhealtheconomicanalysis
AT norriejohn quantitativefibronectintohelpdecisionmakinginwomenwithsymptomsofpretermlabourquidspart1individualparticipantdatametaanalysisandhealtheconomicanalysis
AT normanjanee quantitativefibronectintohelpdecisionmakinginwomenwithsymptomsofpretermlabourquidspart1individualparticipantdatametaanalysisandhealtheconomicanalysis