Dr John Allotey

Dr John Allotey

Institute of Metabolism and Systems Research
Lecturer in Epidemiology and Women’s Health

Contact details

Email
j.allotey.1@bham.ac.uk
Twitter
@joallotey
View my research portal
Address
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

John Allotey is a lecturer in epidemiology and women’s health at the WHO Collaborating Centre for Global Women's Health within the Institute of Metabolism and Systems Research. He has almost a decade of experience in academic clinical research, primarily in the field of maternal health. His research interests lie in the development, evaluation and implementation of prognostic models and evidence synthesis using aggregate data and individual participant data meta-analysis.

How does COVID-19 affect pregnant women and their babies?

Qualifications

Lecturer in Epidemiology and Women’s Health:

  • PhD in Academic Medical Research; University of Amsterdam, 2018
  • MSc in Public Health and Health Economics; Queen Mary University of London, 2009
  • BSc in Zoology; University of Ghana, 2006

Biography

John started his research career as a trialist at the University of Birmingham in 2010, before moving to Queen Mary University of London in 2012 to lead on an NIHR funded trial to develop and validate prediction models for complications in pregnant women with early onset pre-eclampsia. The prediction models he helped developed here would go on to be one of the only prediction models to be recommended for use by a national guideline in management of pregnant women.

In 2018, John was awarded a PhD in Academic Medical Research from the University of Amsterdam with his research aimed at improving the prediction and prevention of adverse pregnancy outcomes. In that time, he helped establish the International Prediction of Pregnancy Complications (IPPIC) Network, and was co-lead on the National Institute for Health Research (NIHR) funded project on the prediction of pre-eclampsia using IPD. He also currently co-leads the IPD meta-analysis project on prediction of fetal growth restriction (also funded by the NIHR), the International Weight Management in Pregnancy (i-WIP GDM) collaborative group, and the International Calcium to prevent pre-eclampsia (i-CIP) collaborative Network.

John has published in first or second author positions in Lancet, BMJ, PLOS Medicine, HTA Monographs, and BMC Medicine. His work has contributed to national guidelines on epilepsy in pregnancy, as well as on the management of pregnant women with hypertensive diseases, and management of pregnant women during a pandemic. He strives to work collaboratively, building national and international networks, such as with the IPPIC collaboration boasting more than 125 researchers from 25 countries, and iWIP collaboration with 40 researchers from 16 countries.

Teaching

Masters in Public Health (MPH)

  • Co-module lead - Epidemiology, Statistics and Research Methods
  • Lecturer - Systematic Reviews and Evidence Synthesis
  • Dissertation supervisor

Medical Science (BMedSc)

  • Project supervisor

MSc in Health Research Methods

Medicine and Surgery MBChB

MSc Metabolism and Systems Research

  • Masters supervisor

Postgraduate supervision

Current PhD students

Anna Boath

Effectiveness and Cost-Effectiveness of Targeting Weight Management Interventions in Pregnancy using Adiposity Measures Oct 2019-Oct 2022

Dyuti Coomar

Improving the prediction and prevention of gestational diabetes and its complications IPD meta-analysis Oct 2020 – Oct 2023

Research

John is co-lead on several national and international collaborative research networks

Current Research

Chief Investigator

  • Wellbeing of Women (WoW): Early pregnancy risk factors for stillbirth: IPD meta-analysis

Project Lead and Co-Investigator

Project Lead

Previous Research

Research Groups and Centres

Other activities

IMSR Community Action Team member  

Publications

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

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

Allotey, J, Zamora, J, Cheong-See, F, Kalidindi, M, Arroyo-Manzano, D, Asztalos, E, van der Post, J, Mol, BW, Moore, D, Birtles, D, Khan, KS & Thangaratinam, S 2018, 'Cognitive, motor, behavioural and academic performances of children born preterm: a meta-analysis and systematic review involving 64 061 children', BJOG: An International Journal of Obstetrics & Gynaecology, vol. 125, no. 1, pp. 16-25. https://doi.org/10.1111/1471-0528.14832

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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