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Search results for '0000-0001-6219-3379'

Displaying 1 to 6 of 6 using the current filters

Extended Research Article

A prognostic model to guide decision-making on timing of delivery in late preterm pre-eclampsia: the PEACOCK prospective cohort study

Kate Duhig
,
Paul T Seed
,
Anna Placzek
,
Jenie Sparkes
,
Carolyn Gill
,
Anna Brockbank
et al.
  • Journal:
    Health Technology Assessment Volume: 25, Issue: 30
  • Published:
    21 May 2021

Extended Research Article

Planned delivery to improve postpartum cardiac function in women with preterm pre-eclampsia: the PHOEBE mechanisms of action study within the PHOENIX RCT

Fergus P McCarthy
,
Jamie O’Driscoll
,
Paul Seed
,
Anna Brockbank
,
Alice Cox
,
Carolyn Gill
et al.
  • Journal:
    Efficacy and Mechanism Evaluation Volume: 8, Issue: 12
  • Published:
    21 September 2021

Extended Research Article

Ursodeoxycholic acid to reduce adverse perinatal outcomes for intrahepatic cholestasis of pregnancy: the PITCHES RCT

Lucy C Chappell
,
Jennifer L Bell
,
Anne Smith
,
Catherine Rounding
,
Ursula Bowler
,
Louise Linsell
et al.
  • Journal:
    Efficacy and Mechanism Evaluation Volume: 7, Issue: 9
  • Published:
    3 December 2020

Synopsis

Planned delivery for pre-eclampsia between 34 and 37 weeks of gestation: the PHOENIX RCT

Lucy C Chappell
,
Peter Brocklehurst
,
Marcus Green
,
Pollyanna Hardy
,
Rachael Hunter
,
Alice Beardmore-Gray
et al.
  • Journal:
    Health Technology Assessment
  • Published:
    30 November 2022

Extended Research Article

Development and validation of prediction models for fetal growth restriction and birthweight: an individual participant data meta-analysis

John Allotey
,
Lucinda Archer
,
Dyuti Coomar
,
Kym IE Snell
,
Melanie Smuk
,
Lucy Oakey
et al.
  • Journal:
    Health Technology Assessment Volume: 28, Issue: 47
  • Published:
    29 August 2024

Extended Research Article

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

John Allotey
,
Kym IE Snell
,
Melanie Smuk
,
Richard Hooper
,
Claire L Chan
,
Asif Ahmed
et al.
  • Journal:
    Health Technology Assessment Volume: 24, Issue: 72
  • Published:
    18 December 2020