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Stock, SJ, Horne, M, Bruijn, M, White, H, Heggie, R, Wotherspoon, L, Boyd, K, Aucott, L, Morris, RK, Dorling, J, Jackson, L, Chandiramani, M, David, A, Khalil, A, Shennan, A, Baaren, G-JV, Hodgetts-Morton, V, Lavender, T, Schuit, E, Harper-Clarke, S, Mol, B, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Norman, J and Norrie, J (2021) A prognostic model, including quantitative fetal fibronectin, to predict preterm labour: the QUIDS meta-analysis and prospective cohort study. Health Technology Assessment, 25 (52). 1 - 168.

Allotey, J, Whittle, R ORCID: https://orcid.org/0000-0003-1793-0135, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Smuk, M, Townsend, R, von Dadelszen, P, Heazell, AEP, Magee, L, Smith, GCS, Sandall, J, Thilaganathan, B, Zamora, J, Riley, RD, Khalil, A, Thangaratinam, S and Collaborative Network, IPPIC (2021) External validation of prognostic models to predict stillbirth using the International Prediction of Pregnancy Complications (IPPIC) Network database: an individual participant data meta-analysis. Ultrasound in Obstetrics and Gynecology.

Stock, SJ, Horne, M, Bruijn, M, White, H, Boyd, KA, Heggie, R, Wotherspoon, L, Aucott, L, Morris, RK, Dorling, J, Jackson, L, Chandiramani, M, David, AL, Khalil, A, Shennan, A, van Baaren, G-J, Hodgetts-Morton, V, Lavender, T, Schuit, E, Harper-Clarke, S, Mol, BW, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Norman, JE and 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, 18 (7). e1003686 - ?.

Allotey, J, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Smuk, M, Hooper, R, Chan, CL, Ahmed, A, Chappell, LC, von Dadelszen, P, Dodds, J, Green, M, Kenny, L, Khalil, A, Khan, KS, Mol, BW, Myers, J, Poston, L, Thilaganathan, B, Staff, AC, Smith, GC, Ganzevoort, W, Laivuori, H, Odibo, AO, Ramírez, JA, Kingdom, J, Daskalakis, G, Farrar, D, Baschat, AA, Seed, PT, Prefumo, F, da Silva Costa, F, Groen, H, Audibert, F, Masse, J, Skråstad, RB, Salvesen, KÅ, Haavaldsen, C, Nagata, C, Rumbold, AR, Heinonen, S, Askie, LM, Smits, LJ, Vinter, CA, Magnus, PM, Eero, K, Villa, PM, Jenum, AK, Andersen, LB, Norman, JE, Ohkuchi, A, Eskild, A, Bhattacharya, S, McAuliffe, FM, Galindo, A, Herraiz, I, Carbillon, L, Klipstein-Grobusch, K, Yeo, S, Teede, HJ, Browne, JL, Moons, KG, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Thangaratinam, S (2020) Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis. Health Technology Assessment, 24 (72). 1 - 252.

Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Allotey, J, Smuk, M, Hooper, R, Chan, C, Ahmed, A, Chappell, LC, Von Dadelszen, P, Green, M, Kenny, L, Khalil, A, Khan, KS, Mol, BW, Myers, J, Poston, L, Thilaganathan, B, Staff, AC, Smith, GCS, Ganzevoort, W, Laivuori, H, Odibo, AO, Arenas Ramírez, J, Kingdom, J, Daskalakis, G, Farrar, D, Baschat, AA, Seed, PT, Prefumo, F, da Silva Costa, F, Groen, H, Audibert, F, Masse, J, Skråstad, RB, Salvesen, KÅ, Haavaldsen, C, Nagata, C, Rumbold, AR, Heinonen, S, Askie, LM, Smits, LJM, Vinter, CA, Magnus, P, Eero, K, Villa, PM, Jenum, AK, Andersen, LB, Norman, JE, Ohkuchi, A, Eskild, A, Bhattacharya, S, McAuliffe, FM, Galindo, A, Herraiz, I, Carbillon, L, Klipstein-Grobusch, K, Yeo, SA, Browne, JL, Moons, KGM, Riley, RD and Thangaratinam, S (2020) External validation of prognostic models predicting pre-eclampsia: individual participant data meta-analysis. BMC Medicine, 18 (1).

Townsend, R, Manji, A, Allotey, J, Heazell, A, Jorgensen, L, Magee, LA, Mol, BW, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Sandall, J, Smith, G, Patel, M, Thilaganathan, B, von Dadelszen, P, Thangaratinam, S and Khalil, A (2020) Can risk prediction models help us individualise stillbirth prevention? A systematic review and critical appraisal of published risk models. BJOG: An International Journal of Obstetrics and Gynaecology.

Townsend, R, Khalil, A, Premakumar, Y, Allotey, J, Snell, KIE, Chan, C, Chappell, LC, Hooper, R, Green, M, Mol, BW, Thilaganathan, B, Thangaratinam, S and IPPIC Network, . (2019) Prediction of pre-eclampsia: review of reviews. Ultrasound in Obstetrics and Gynecology, 54 (1). p. 16.

Stock, SJ, Wotherspoon, LM, Boyd, KA, Morris, RK, Dorling, J, Jackson, L, Chandiramani, M, David, AL, Khalil, A, Shennan, A, Hodgetts Morton, V, Lavender, T, Khan, K, Harper-Clarke, S, Mol, B, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Norrie, J and Norman, J (2018) Study protocol: quantitative fibronectin to help decision-making in women with symptoms of preterm labour (QUIDS) part 2, UK Prospective Cohort Study. BMJ Open, 8 (4). e020795 - ?.

Stock, SJ, Wotherspoon, LM, Boyd, KA, Morris, RK, Dorling, J, Jackson, L, Chandiramani, M, David, AL, Khalil, A, Shennan, A, Hodgetts Morton, V, Lavender, T, Khan, K, Harper-Clarke, S, Mol, BW, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Norrie, J and Norman, JE (2018) Quantitative fibronectin to help decision-making in women with symptoms of preterm labour (QUIDS) part 1: Individual participant data meta-analysis and health economic analysis. BMJ Open, 8 (4). e020796 - ?.

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Allotey, J, Snell, KIE, Chan, C, Hooper, R, Dodds, J, Rogozinska, E, Khan, KS, Poston, L, Kenny, L, Myers, J, Thilaganathan, B, Chappell, L, Mol, BW, Von Dadelszen, P, Ahmed, A, Green, M, Poon, L, Khalil, A, Moons, KGM, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Thangaratinam, S and Collaborative Network, IPPIC (2017) External validation, update and development of prediction models for pre-eclampsia using an Individual Participant Data (IPD) meta-analysis: the International Prediction of Pregnancy Complication Network (IPPIC pre-eclampsia) protocol. Diagnostic and Prognostic Research, 1. 16 - ?.