Decision curves for prediction models of early-onset pre-eclampsia in (a) SCOPE UK, (b) Poston et al. 2015 and (c) POP

John Allotey; Kym IE Snell; Melanie Smuk; Richard Hooper; Claire L Chan; Asif Ahmed; Lucy C Chappell; Peter von Dadelszen; Julie Dodds; Marcus Green; Louise Kenny; Asma Khalil; Khalid S Khan; Ben W Mol; Jenny Myers; Lucilla Poston; Basky Thilaganathan; Anne C Staff; Gordon CS Smith; Wessel Ganzevoort; Hannele Laivuori; Anthony O Odibo; Javier A Ramírez; John Kingdom; George Daskalakis; Diane Farrar; Ahmet A Baschat; Paul T Seed; Federico Prefumo; Fabricio da Silva Costa; Henk Groen; Francois Audibert; Jacques Masse; Ragnhild B Skråstad; Kjell Å Salvesen; Camilla Haavaldsen; Chie Nagata; Alice R Rumbold; Seppo Heinonen; Lisa M Askie; Luc JM Smits; Christina A Vinter; Per M Magnus; Kajantie Eero; Pia M Villa; Anne K Jenum; Louise B Andersen; Jane E Norman; Akihide Ohkuchi; Anne Eskild; Sohinee Bhattacharya; Fionnuala M McAuliffe; Alberto Galindo; Ignacio Herraiz; Lionel Carbillon; Kerstin Klipstein-Grobusch; SeonAe Yeo; Helena J Teede; Joyce L Browne; Karel GM Moons; Richard D Riley; Shakila Thangaratinam

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Allotey J, Snell KIE, Smuk M, et al. Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis. Southampton (UK): NIHR Journals Library; 2020 Dec. (Health Technology Assessment, No. 24.72.)

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Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis.

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Appendix 14Decision curves for prediction models of early-onset pre-eclampsia in (a) SCOPE UK,⁴² (b) Poston et al. 2015¹⁴⁹ and (c) POP¹⁶¹

Copyright © Queen’s Printer and Controller of HMSO 2020. This work was produced by Allotey et al. under the terms of a commissioning contract issued by the Secretary of State for Health and Social Care. This issue may be freely reproduced for the purposes of private research and study and extracts (or indeed, the full report) may be included in professional journals provided that suitable acknowledgement is made and the reproduction is not associated with any form of advertising. Applications for commercial reproduction should be addressed to: NIHR Journals Library, National Institute for Health Research, Evaluation, Trials and Studies Coordinating Centre, Alpha House, University of Southampton Science Park, Southampton SO16 7NS, UK.

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Allotey J, Snell KIE, Smuk M, et al. Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis. Southampton (UK): NIHR Journals Library; 2020 Dec. (Health Technology Assessment, No. 24.72.) Appendix 14, Decision curves for prediction models of early-onset pre-eclampsia in (a) SCOPE UK, (b) Poston et al. 2015 and (c) POP.
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Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis.

Appendix 14Decision curves for prediction models of early-onset pre-eclampsia in (a) SCOPE UK,42 (b) Poston et al. 2015149 and (c) POP161

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Appendix 14Decision curves for prediction models of early-onset pre-eclampsia in (a) SCOPE UK,⁴² (b) Poston et al. 2015¹⁴⁹ and (c) POP¹⁶¹