Recent publications
Article
PregCOV-19 Living Systematic Review Consortium, Allotey, J, Stallings, E, Bonet, M, Yap, M, Chatterjee, S, Kew, T, Debenham, L, Llavall, AC, Dixit, A, Zhou, D, Balaji, R, Lee, SI, Qiu, X, Yuan, M, Coomar, D, Sheikh, J, Lawson, H, Ansari, K, Van Wely, M, Van Leeuwen, E, Kostova, E, Kunst, H, Khalil, A, Tiberi, S, Brizuela, V, Broutet, N, Kara, E, Kim, CR, Thorson, A, Escuriet, R, Oladapo, OT, Mofenson, L, Zamora, J & Thangaratinam, S 2021, 'Clinical manifestations, risk factors, and maternal and perinatal outcomes of coronavirus disease 2019 in pregnancy: living systematic review and meta-analysis', BMJ, vol. 370, m3320. https://doi.org/10.1136/bmj.m3320
IPPIC Collaborative Network 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. https://doi.org/10.1002/uog.23757
Townsend, R, Sileo, FG, Allotey, J, Dodds, J, Heazell, A, Jorgensen, L, Kim, VB, Magee, L, Mol, B, Sandall, J, Smith, GCS, Thilaganathan, B, Dadelszen, P, Thangaratinam, S & Khalil, A 2021, 'Prediction of stillbirth: an umbrella review of evaluation of prognostic variables', BJOG: An International Journal of Obstetrics & Gynaecology, vol. 128, no. 2, pp. 238-250. https://doi.org/10.1111/1471-0528.16510
Ball, E, Karavadra, B, Kremer-Yeatman, BJ, Mustard, C, Lee, KM, Bhogal, S, Dodds, J, Horne, AW, Allotey, J & Rivas, C 2021, 'Systematic review of patient-specific pre-operative predictors of pain improvement to endometriosis surgery', Reproduction and Fertility , vol. 2, no. 1. https://doi.org/10.1530/RAF-20-0057
INSPIRED research group 2020, 'A core outcome set for studies of gestational diabetes mellitus prevention and treatment', Diabetologia, vol. 63, no. 6, pp. 1120-1127. https://doi.org/10.1007/s00125-020-05123-6
Allotey, J, Snell, K, Smuk, M, Hooper, R, Chan, C, Ahmed, A, Chappell, LC, Von Dadelszen, P, Dodds, J, Kenny, LC, Khalil, A, Khan, KS, Mol, BWJ, Myers, J, Poston, L, Thilaganathan, B, Staff, AC, Smith, GCS, Ganzevoort, W, Laivuori, H, Odibo, AO, Ramírez, JA, Kingdom, J, Green, M, Daskalakis, G, Farrar, D, Baschat, A, 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, 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, KGM, Riley, RD & Thangaratinam, S 2020, 'Accuracy of clinical characteristics biochemical and ultrasound markers in predicting pre-eclampsia: External validation and development of prediction models using an Individual Participant Data (IPD) meta-analysis', Health Technology Assessment.
PregCOV-19 Consortium 2020, 'Clinical manifestations, prevalence, risk factors, outcomes, transmission, diagnosis and treatment of COVID-19 in pregnancy and postpartum: a living systematic review protocol', BMJ open, vol. 10, no. 12, e041868. https://doi.org/10.1136/bmjopen-2020-041868
Snell, K, Allotey, J, Smuk, M, Hooper, R, Chan, C, Ahmed, A, Chappell, LC, Von Dadelszen, P, Green, M, Kenny, LC, Khalil, A, Khan, KS, Mol, BWJ, Myers, J, Poston, L, Thilaganathan, B, Staff, AC, Smith, GCS, Ganzevoort, W, Laivuori, H, Odibo, AO, Ramírez, JA, Kingdom, J, Daskalakis, G, Farrar, D, Baschat, A, 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, 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, Browne, JL, Moons, KGM, Riley, RD & Thangaratinam, S 2020, 'External validation of prognostic models predicting pre-eclampsia: Individual participant data meta-analysis', BMC Medicine, vol. 18, no. 1. https://doi.org/10.1186/s12916-020-01766-9
Deo, N, Khan, KS, Mak, J, Allotey, J, Gonzalez Carreras, FJ, Fusari, G & Benn, J 2020, 'Virtual reality for acute pain in outpatient hysteroscopy: a randomised controlled trial', BJOG: An International Journal of Obstetrics & Gynaecology. https://doi.org/10.1111/1471-0528.16377
Allotey, J, Fernandez-Felix, BM, Zamora, J, Moss, N, Bagary, M, Kelso, A, Khan, R, van der Post, JAM, Mol, B, Pirie, AM, McCorry, D, Khan, KS & Thangaratinam, S 2019, 'Predicting seizures in pregnant women with epilepsy: development and external validation of a prognostic model', PLoS Medicine, vol. 16, no. 5, e1002802. https://doi.org/10.1371/journal.pmed.1002802
Allotey, J & Thangaratinam, S 2019, 'Prognostic models need to look beyond fetal size', BJOG: An International Journal of Obstetrics & Gynaecology, vol. 126, no. 4, pp. 485. https://doi.org/10.1111/1471-0528.15564
Allotey, J, Matei, A, Husain, S, Newton, S, Dodds, J, Armson, AB, Khan, KS & Vogel, JP 2019, 'Research prioritization of interventions for the primary prevention of preterm birth: An international survey', European Journal of Obstetrics & Gynecology and Reproductive Biology, vol. 236, pp. 240-248. https://doi.org/10.1016/j.ejogrb.2019.01.021
Allotey, J & Marlin, N 2019, 'Well-conducted randomisation will improve balance and reliability of treatment estimates: Randomised controlled trials: random acts of allocation', BJOG: An International Journal of Obstetrics & Gynaecology, vol. 126, no. 10, pp. 1287. https://doi.org/10.1111/1471-0528.15496
Review article
Marleen, S, Dias, C, MacGregor, R, Allotey, J, Aquilina, J, Khalil, A & Thangaratinam, S 2020, 'Biochemical predictors of preterm birth in twin pregnancies: A systematic review involving 6077 twin pregnancies', European Journal of Obstetrics & Gynecology and Reproductive Biology, vol. 250, pp. 130-142. https://doi.org/10.1016/j.ejogrb.2020.04.015
Cooray, SD, Wijeyaratne, LA, Soldatos, G, Allotey, J, Boyle, JA & Teede, HJ 2020, 'The unrealised potential for predicting pregnancy complications in women with gestational diabetes: a systematic review and critical appraisal', International Journal of Environmental Research and Public Health, vol. 17, no. 9, 3048. https://doi.org/10.3390/ijerph17093048
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