A prognostic model, including quantitative fetal fibronectin, to predict preterm labour : the QUIDS meta-analysis and prospective cohort study
| dc.contributor.author | Stock, Sarah J. | |
| dc.contributor.author | Horne, Margaret A | |
| dc.contributor.author | Bruijn, Merel M.C. | |
| dc.contributor.author | White, Helen | |
| dc.contributor.author | Heggie, Robert | |
| dc.contributor.author | Wotherspoon, Lisa M. | |
| dc.contributor.author | Boyd, Kathleen A. | |
| dc.contributor.author | Aucott, Lorna | |
| dc.contributor.author | Morris, Rachel K. | |
| dc.contributor.author | Dorling, Jon | |
| dc.contributor.author | Jackson, Lesley | |
| dc.contributor.author | Chandiramani, Manju | |
| dc.contributor.author | David, Anna L | |
| dc.contributor.author | Khalil, Asma | |
| dc.contributor.author | Shennan, Andrew | |
| dc.contributor.author | Baaren, Gert-Janvan | |
| dc.contributor.author | Victoria, Hodgetts Morton | |
| dc.contributor.author | Lavender, Tina | |
| dc.contributor.author | Schuit, Ewoud | |
| dc.contributor.author | Harper-Clarke, Susan | |
| dc.contributor.author | Mol, Ben Willem J. | |
| dc.contributor.author | Riley, Richard D. | |
| dc.contributor.author | Norman, Jane Elizabeth | |
| dc.contributor.author | Norrie, John | |
| dc.contributor.institution | University of Aberdeen.Aberdeen Centre for Evaluation | en |
| dc.contributor.institution | University of Aberdeen.Centre for Health Data Science | en |
| dc.contributor.institution | University of Aberdeen.Institute of Applied Health Sciences | en |
| dc.contributor.institution | University of Aberdeen.Other Applied Health Sciences | en |
| dc.contributor.institution | University of Aberdeen.Aberdeen Centre for Women’s Health Research | en |
| dc.date.accessioned | 2021-09-20T13:17:01Z | |
| dc.date.available | 2021-09-20T13:17:01Z | |
| dc.date.issued | 2021-09-01 | |
| dc.description | This 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. | en |
| dc.format.extent | 198 | |
| dc.format.extent | 3029032 | |
| dc.identifier | 200691838 | |
| dc.identifier | 4bcec314-be62-4a48-b5f0-3e90264a0f79 | |
| dc.identifier | 85115983214 | |
| dc.identifier.citation | Stock, 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/hta25520 | en |
| dc.identifier.doi | 10.3310/hta25520 | |
| dc.identifier.other | ORCID: /0000-0001-6277-7972/work/100346213 | |
| dc.identifier.uri | https://hdl.handle.net/2164/17107 | |
| dc.identifier.vol | 25 | en |
| dc.language.iso | eng | |
| dc.publisher | NIHR Health Technology Assessment programme | |
| dc.subject | R Medicine | en |
| dc.subject | National Institute for Health Research (NIHR) | en |
| dc.subject.lcc | R | en |
| dc.title | A prognostic model, including quantitative fetal fibronectin, to predict preterm labour : the QUIDS meta-analysis and prospective cohort study | en |
| dc.type | Report | en |
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