Stock, Sarah J.Horne, Margaret ABruijn, Merel M.C.White, HelenHeggie, RobertWotherspoon, Lisa M.Boyd, Kathleen A.Aucott, LornaMorris, Rachel K.Dorling, JonJackson, LesleyChandiramani, ManjuDavid, Anna LKhalil, AsmaShennan, AndrewBaaren, Gert-JanvanVictoria, Hodgetts MortonLavender, TinaSchuit, EwoudHarper-Clarke, SusanMol, Ben Willem J.Riley, Richard D.Norman, Jane ElizabethNorrie, John2021-09-202021-09-202021-09-01Stock, S J, Horne, M A, Bruijn, M M C, White, H, Heggie, R, Wotherspoon, L M, Boyd, K A, Aucott, L, Morris, R K, Dorling, J, Jackson, L, Chandiramani, M, David, A L, Khalil, A, Shennan, A, Baaren, G-J, Victoria, H M, Lavender, T, Schuit, E, Harper-Clarke, S, Mol, B W J, Riley, R D, Norman, J E & Norrie, J 2021, A prognostic model, including quantitative fetal fibronectin, to predict preterm labour : the QUIDS meta-analysis and prospective cohort study . vol. 25 (52), NIHR Health Technology Assessment programme. https://doi.org/10.3310/hta25520ORCID: /0000-0001-6277-7972/work/100346213https://hdl.handle.net/2164/17107This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 25, No. 52. See the NIHR Journals Library website for further project information.1983029032engR MedicineNational Institute for Health Research (NIHR)RReport10.3310/hta2552025