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

Sarah J. Stock, Lisa M. Wotherspoon, Kathleen A. Boyd, Rachel K. Morris, Jon Dorling, Lesley Jackson, Manju Chandiramani, Anna L. David, Asma Khalil, Andrew Shennan, Victoria Hodgetts Morton, Tina Lavender, Khalid Khan, Susan Harper-Clarke, Ben W. Mol, Richard D. Riley, John Norrie, Jane E. Norman

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5 Citas (Scopus)

Resumen

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).

Idioma originalEnglish
Número de artículoe020796
PublicaciónBMJ Open
Volumen8
N.º4
DOI
EstadoPublished - abr. 1 2018
Publicado de forma externa

Nota bibliográfica

Funding Information:
The study was extensively peer reviewed as part of the process of gaining grant funding from the National Institute of Healthcare Research (NIHR) HTA (14/32/01).

Funding Information:
Funding This project was funded by the National Institute of Healthcare Research Health Technology and Assessment (reference 14/32/01).

Publisher Copyright:
© 2018 Article author(s).

ASJC Scopus Subject Areas

  • General Medicine

PubMed: MeSH publication types

  • Journal Article
  • Meta-Analysis
  • Research Support, Non-U.S. Gov't

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