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      A prognostic model, including quantitative fetal fibronectin, to predict preterm labour : the QUIDS meta-analysis and prospective cohort study

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      Stock_etal_NIHR_A_prognostic_model_VOR.pdf (2.888Mb)
      Publication date
      01/09/2021
      Author
      Stock, Sarah J.
      Horne, Margaret A
      Bruijn, Merel M.C.
      White, Helen
      Heggie, Robert
      Wotherspoon, Lisa M.
      Boyd, Kathleen A.
      Aucott, Lorna
      Morris, Rachel K.
      Dorling, Jon
      Jackson, Lesley
      Chandiramani, Manju
      David, Anna L
      Khalil, Asma
      Shennan, Andrew
      Baaren, Gert-Janvan
      Victoria, Hodgetts Morton
      Lavender, Tina
      Schuit, Ewoud
      Harper-Clarke, Susan
      Mol, Ben Willem J.
      Riley, Richard D.
      Norman, Jane Elizabeth
      Norrie, John
      Metadata
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      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
      URI
      https://hdl.handle.net/2164/17107
      DOI
      https://doi.org/10.3310/hta25520
      Rights
      This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. https://creativecommons.org/licenses/by/4.0/
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