J. Allotey

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External validation of prognostic models predicting pre-eclampsia: individual participant data meta-analysis

L. Poston, K. Salvesen, Chie Nagata, 2020, BMC Medicine.

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

L. Poston, K. Khan, B. Mol, 2017, Diagnostic and Prognostic Research.

Development and validation of prediction models for risk of adverse outcomes in women with early-onset pre-eclampsia: protocol of the prospective cohort PREP study

K. Khan, B. Mol, R. Riley, 2017, Diagnostic and Prognostic Research.

The Unrealised Potential for Predicting Pregnancy Complications in Women with Gestational Diabetes: A Systematic Review and Critical Appraisal

H. Teede, J. Boyle, J. Allotey, 2020, International journal of environmental research and public health.

External validation of preexisting first trimester preeclampsia prediction models.

J. Zamora, S. Thangaratinam, J. Allotey, 2017, European journal of obstetrics, gynecology, and reproductive biology.

Diet and physical activity in pregnancy to prevent gestational diabetes: a protocol for an individual participant data (IPD) meta-analysis on the differential effects of interventions with economic evaluation

L. Poston, G. Hitman, R. Riley, 2021, BMJ Open.

Biochemical predictors of preterm birth in twin pregnancies: A systematic review involving 6077 twin pregnancies.

A. Khalil, S. Thangaratinam, J. Allotey, 2020, European journal of obstetrics, gynecology, and reproductive biology.

Global variation in pregnancy complications in women with epilepsy: A meta-analysis.

J. Zamora, S. Thangaratinam, J. Allotey, 2017, European journal of obstetrics, gynecology, and reproductive biology.

Research prioritization of interventions for the primary prevention of preterm birth: An international survey.

K. Khan, J. Dodds, J. Vogel, 2019, European journal of obstetrics, gynecology, and reproductive biology.

University of Birmingham The unrealised potential for predicting pregnancy complications in women with gestational diabetes

H. Teede, J. Boyle, J. Allotey, 2020 .

A core outcome set for studies of gestational diabetes mellitus prevention and treatment

E. Dempsey, M. Loeken, S. Thangaratinam, 2020, Diabetologia.

Development of maternal and neonatal composite outcomes for trials evaluating management of late-onset pre-eclampsia

E. Rogozińska, S. Thangaratinam, D. Shah, 2014, Hypertension in Pregnancy.

Development, validation and clinical utility of a risk prediction model for adverse pregnancy outcomes in women with gestational diabetes: The PeRSonal GDM model

H. Teede, J. Zamora, S. Thangaratinam, 2022, EClinicalMedicine.

SARS-CoV-2 positivity in offspring and timing of mother-to-child transmission: living systematic review and meta-analysis

L. Mofenson, A. Thorson, A. Khalil, 2022, BMJ.

Association between chorionicity and preterm birth in twin pregnancies: a systematic review involving 29 864 twin pregnancies

A. Khalil, S. Thangaratinam, J. Allotey, 2020, BJOG : an international journal of obstetrics and gynaecology.

Effects of race and ethnicity on perinatal outcomes in high-income and upper-middle-income countries: an individual participant data meta-analysis of 2 198 655 pregnancies

L. Poston, K. Salvesen, Chie Nagata, 2022, The Lancet.

Epilepsy in pregnancy and reproductive outcomes: a systematic review and meta-analysis

M. Bagary, J. Zamora, S. Thangaratinam, 2015, The Lancet.

Clinical manifestations, prevalence, risk factors, outcomes, transmission, diagnosis and treatment of COVID-19 in pregnancy and postpartum: a living systematic review protocol

L. Mofenson, Mingyang Yuan, X. Qiu, 2020, BMJ Open.

External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (IPPIC) Network database: individual participant data meta‐analysis

K. Salvesen, Chie Nagata, L. Magee, 2021, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

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

L. Poston, K. Salvesen, Chie Nagata, 2020, Health technology assessment.

Clinical manifestations, risk factors, and maternal and perinatal outcomes of coronavirus disease 2019 in pregnancy: living systematic review and meta-analysis

L. Mofenson, Mingyang Yuan, X. Qiu, 2020, BMJ.

Virtual reality for acute pain in outpatient hysteroscopy: a randomised controlled trial

J. Allotey, N. Deo, G. Fusari, 2020, BJOG : an international journal of obstetrics and gynaecology.

Global variations in the burden of SARS-CoV-2 infection and its outcomes in pregnant women by geographical region and country’s income status: a meta-analysis

S. Thangaratinam, J. Allotey, Jameela Sheikh, 2022, BMJ Global Health.

Mother-to-child transmission of severe acute respiratory syndrome coronavirus 2: review of classification systems and systematic reviews

S. Thangaratinam, J. Allotey, T. Kew, 2021, Current Opinion in Obstetrics and Gynecology.

Prediction of pre‐eclampsia: review of reviews

B. Mol, A. Khalil, K. Snell, 2019, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

Treatment of COVID-19 in pregnant women: A systematic review and meta-analysis

L. Mofenson, A. Thorson, J. Thornton, 2021, European Journal of Obstetrics & Gynecology and Reproductive Biology.

Serum ferritin thresholds for the diagnosis of iron deficiency in pregnancy: a systematic review

J. P. Peña-Rosas, J. Allotey, J. Daru, 2017, Transfusion medicine.

Cognitive, motor, behavioural and academic performances of children born preterm: a meta‐analysis and systematic review involving 64 061 children

J. Zamora, S. Thangaratinam, E. Asztalos, 2018, BJOG : an international journal of obstetrics and gynaecology.

Predicting seizures in pregnant women with epilepsy: Development and external validation of a prognostic model

Manny Bagary, Javier Zamora, B. Mol, 2019, PLoS medicine.

Development and Validation of Clinical Prediction Models for Surgical Success in Patients With Endometriosis: Protocol for a Mixed Methods Study

N. Marlin, J. Dodds, C. Rivas, 2020, JMIR Research Protocols.

Protocol for development and validation of a clinical prediction model for adverse pregnancy outcomes in women with gestational diabetes

H. Teede, J. Zamora, S. Thangaratinam, 2020, BMJ Open.

Effects of oral probiotic supplements on vaginal microbiota during pregnancy: a randomised, double‐blind, placebo‐controlled trial with microbiome analysis

W. Wade, M. Millar, J. Dodds, 2019, BJOG : an international journal of obstetrics and gynaecology.

Prediction of stillbirth: an umbrella review of evaluation of prognostic variables

L. Magee, B. Mol, A. Khalil, 2020, BJOG : an international journal of obstetrics and gynaecology.

Re: Reducing health inequality in Black, Asian and other minority ethnic pregnant women: Impact of first‐trimester combined screening for placental dysfunction on perinatal mortality

S. Bewley, L. Magee, R. Morris, 2022, BJOG : an international journal of obstetrics and gynaecology.

Prediction models in obstetrics: understanding the treatment paradox and potential solutions to the threat it poses

G. Riet, E. Schuit, N. Marlin, 2016, BJOG : an international journal of obstetrics and gynaecology.

Can risk prediction models help us individualise stillbirth prevention? A systematic review and critical appraisal of published risk models

L. Magee, B. Mol, A. Khalil, 2020, BJOG : an international journal of obstetrics and gynaecology.

Development and validation of Prediction models for Risks of complications in Early-onset Pre-eclampsia (PREP): a prospective cohort study.

B. Mol, R. Riley, J. Deeks, 2017, Health technology assessment.

Development and Validation of Clinical Prediction Models for Surgical Success in Patients With Endometriosis: Protocol for a Mixed Methods Study

N. Marlin, J. Dodds, C. Rivas, 2020, JMIR Research Protocols.

Prognostic models need to look beyond fetal size

S. Thangaratinam, J. Allotey, 2019, BJOG : an international journal of obstetrics and gynaecology.

Calcium supplementation to prevent pre-eclampsia: protocol for an individual participant data meta-analysis, network meta-analysis and health economic evaluation

J. P. Peña-Rosas, H. Mistry, K. Snell, 2023, BMJ Open.

Care of pregnant women with epilepsy in the United Kingdom: A national survey of healthcare professionals.

S. Thangaratinam, C. Nelson-Piercy, J. Allotey, 2022, European journal of obstetrics, gynecology, and reproductive biology.

Prediction of complications in early-onset pre-eclampsia (PREP): development and external multinational validation of prognostic models

B. Mol, R. Riley, K. Moons, 2017, BMC Medicine.

Systematic review of patient-specific pre-operative predictors of pain improvement to endometriosis surgery

J. Dodds, C. Rivas, A. Horne, 2021, Reproduction & fertility.

Entropy-based active learning of graph neural network surrogate models for materials properties.

J. Allotey, J. Thiyagalingam, K. Butler, 2021, The Journal of chemical physics.

Differential effects of diet and physical activity interventions in pregnancy to prevent gestational diabetes mellitus and reduce gestational weight gain by level of maternal adiposity: a protocol for an individual patient data (IPD) meta-analysis of randomised controlled trials

N. Heslehurst, L. Hayes, J. Allotey, 2023, BMJ Open.

Effects of race and ethnicity on perinatal outcomes in high-income and upper-middle-income countries: an individual participant data meta-analysis of 2 198 655 pregnancies

L. Poston, K. Salvesen, Chie Nagata, 2022, The Lancet.

External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (IPPIC) Network database: individual participant data meta-analysis

M. Smuk, P. Dadelszen, J. Allotey, 2022 .

Maternal and perinatal outcomes in twin pregnancies following assisted reproduction: a systematic review and meta-analysis involving 802 462 pregnancies.

J. Allotey, P. Bhide, S. Marleen, 2024, Human reproduction update.

Development of maternal and neonatal composite outcomes for trials evaluating management of late-onset pre-eclampsia

E. Rogozińska, S. Thangaratinam, D. Shah, 2014, Hypertension in pregnancy.

University of Clinical manifestations, risk factors, and maternal and perinatal outcomes of coronavirus disease 2019 in pregnancy

L. Mofenson, Mingyang Yuan, S. Thangaratinam, 2021 .

University of Birmingham Clinical manifestations, risk factors, and maternal and perinatal outcomes of coronavirus disease 2019 in pregnancy

L. Mofenson, P. Lumbiganon, Mingyang Yuan, 2021 .

Machine learning-enabled maternal risk assessment for women with pre-eclampsia (the PIERS-ML model): a modelling study

Z. Bhutta, A. Nakimuli, D. Dunsmuir, 2024, The Lancet. Digital health.

Vulnerabilities and reparative strategies during pregnancy, childbirth, and the postpartum period: moving from rhetoric to action

A. Betrán, S. Thangaratinam, O. Oladapo, 2023, EClinicalMedicine.