Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Sarah Sturrock

Biographic Data

ID7630715
NAMESarah Sturrock
GIVEN NAMESSarah
FAMILY NAMESturrock
SIGNATURESTURROCK S
AFFILIATIONSSt George's Hospital
ORCID0000-0002-7968-0189
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Clinical prediction models to diagnose neonatal sepsis in low-income and middle-income countries

    Open Access•Samuel R Neal, Sarah Sturrock et al.•ARTICLE•BMJ Global Health•2025

    INTRODUCTION: Neonatal sepsis causes significant morbidity and mortality worldwide but is difficult to diagnose clinically. Clinical prediction models (CPMs) could improve diagnostic accuracy, facilitating earlier treatment for cases and avoiding antibiotic overuse. Neonates in low-income and middle-income countries (LMICs) are disproportionately affected by sepsis, yet no review has comprehensively synthesised evidence for CPMs validated in this…

  • The Covid19 Pandemic has Changed Women’s Experiences of Pregnancy in the UK

    Open Access•Sarah Sturrock, Kim Turner et al.•ARTICLE•Maternal and Child Health Journal•2023

No prominent works on this page.

  • The Covid19 Pandemic has Changed Women’s Experiences of Pregnancy in the UK

    Open Access•Sarah Sturrock, Kim Turner et al.•ARTICLE•Maternal and Child Health Journal•2023

  • Clinical prediction models to diagnose neonatal sepsis in low-income and middle-income countries

    Open Access•Samuel R Neal, Sarah Sturrock et al.•ARTICLE•BMJ Global Health•2025

    INTRODUCTION: Neonatal sepsis causes significant morbidity and mortality worldwide but is difficult to diagnose clinically. Clinical prediction models (CPMs) could improve diagnostic accuracy, facilitating earlier treatment for cases and avoiding antibiotic overuse. Neonates in low-income and middle-income countries (LMICs) are disproportionately affected by sepsis, yet no review has comprehensively synthesised evidence for CPMs validated in this…

Medicine (2 works) · Pediatrics (2 works) · Breastfeeding (1 work) · Cochrane Library (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · COVID-19 Impact on Reproduction (1 work) · Developing country (1 work) · Disease (1 work) · Emergency Medicine (1 work) · Environmental health (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae