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Development and validation of a risk prediction model of preterm birth for women with preterm labour symptoms (the QUIDS study) : A prospective cohort study and individual participant data meta-analysis

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dc.contributor.authorStock, Sarah J.E.
dc.contributor.authorHorne, Margaret
dc.contributor.authorBruijn, Merel
dc.contributor.authorWhite, Helen
dc.contributor.authorBoyd, Kathleen A.
dc.contributor.authorHeggie, Robert
dc.contributor.authorWotherspoon, Lisa
dc.contributor.authorAucott, Lorna S.
dc.contributor.authorMorris, Rachel
dc.contributor.authorDorling, Jon
dc.contributor.authorJackson, Lesley
dc.contributor.authorChandiramani, Manju
dc.contributor.authorDavid, Anna L.
dc.contributor.authorKhalil, Asma
dc.contributor.authorShennan, Andrew
dc.contributor.authorGert-Jan, Van Baaren
dc.contributor.authorVictoria, Hodgetts Morton
dc.contributor.authorLavender, Tina
dc.contributor.authorSchuit, Ewoud
dc.contributor.authorSusan, Harper Clarke
dc.contributor.authorMol, Ben W.J.
dc.contributor.authorRichard, Riley
dc.contributor.authorNorman, Jane E.
dc.contributor.authorNorrie, John
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre for Evaluationen
dc.contributor.institutionUniversity of Aberdeen.Centre for Health Data Scienceen
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre for Women’s Health Researchen
dc.date.accessioned2021-07-29T21:46:01Z
dc.date.available2021-07-29T21:46:01Z
dc.date.issued2021-07-06
dc.descriptionFunding: This publication presents independent research funded by the National Institute for Health Research (NIHR) HTA Programme (Project Number 14/32/01). All listed authors were funded via this programme. Funder website URL: https://www.nihr.ac.uk/explore-nihr/funding-programmes/health-technology-assessment.htm. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. SJS is funded by the Wellcome Trust (209560/Z/17/Z). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. We are grateful to HOLOGIC (Marlborough, MA, USA) for providing adapted analyzers at each site allowing quantitative fFN values to be masked from clinicians and offered training and support to each site for fFN testing. They also allowed QUIDS sites to purchase tests at the lowest list price (NHS treatment cost). HOLOGIC had no involvement in data collection, analysis or interpretation, and no role in the writing of this manuscript or the decision to submit for publication. We are also grateful to PARSAGEN DIAGNOSTICS who gifted Partosure test kits for a substudy comparing different biochemical test of preterm labour (to be reported separately) and offered training and support to sites and MEDIX BIOCHEMICA who provided test kits at a reduced cost and offered training and support to sites. These companies had no other involvement in study design, implementation, analysis or interpretation of results.en
dc.description.statusPeer revieweden
dc.format.extent22
dc.format.extent1235336
dc.identifier197679118
dc.identifier8814019e-19f1-4f57-a44f-80bd0e5a5d6f
dc.identifier85109451657
dc.identifier.citationStock, S J E, Horne, M, Bruijn, M, White, H, Boyd, K A, Heggie, R, Wotherspoon, L, Aucott, L S, Morris, R, Dorling, J, Jackson, L, Chandiramani, M, David, A L, Khalil, A, Shennan, A, Gert-Jan, V B, Victoria, H M, Lavender, T, Schuit, E, Susan, H C, Mol, B W J, Richard, R, Norman, J E & Norrie, J 2021, 'Development and validation of a risk prediction model of preterm birth for women with preterm labour symptoms (the QUIDS study) : A prospective cohort study and individual participant data meta-analysis', PLoS Medicine, vol. 18, no. 7, e1003686. https://doi.org/10.1371/journal.pmed.1003686en
dc.identifier.doi10.1371/journal.pmed.1003686
dc.identifier.iss7en
dc.identifier.issn1549-1277
dc.identifier.otherJisc: 6106c2db46524622aaaa813f185f2c3a
dc.identifier.otherORCID: /0000-0001-6277-7972/work/98038391
dc.identifier.urihttps://hdl.handle.net/2164/16886
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85109451657&partnerID=8YFLogxKen
dc.identifier.vol18en
dc.language.isoeng
dc.relation.ispartofPLoS Medicineen
dc.subjectR Medicineen
dc.subjectGeneral Medicineen
dc.subjectWellcome Trusten
dc.subject209560/Z/17/Zen
dc.subjectNational Institute for Health Research (NIHR)en
dc.subject14/32/01en
dc.subject.lccRen
dc.titleDevelopment and validation of a risk prediction model of preterm birth for women with preterm labour symptoms (the QUIDS study) : A prospective cohort study and individual participant data meta-analysisen
dc.typeJournal itemen

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