Sarah S Sturrock
Dados Biográficos
| ID | 9799083 |
|---|---|
| NOME | Sarah S Sturrock |
| PRENOMES | Sarah S |
| SOBRENOME | Sturrock |
| ASSINATURA | STURROCK S S |
| AFILIAÇÕES | St George’s University of London, London, UK |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 1 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 1 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2025 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 0 |
Clinical prediction models to diagnose neonatal sepsis in low-income and middle-income countries
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…
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Clinical prediction models to diagnose neonatal sepsis in low-income and middle-income countries
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…
Cochrane Library (1 obra) · Developing country (1 obra) · Emergency Medicine (1 obra) · Environmental health (1 obra) · Health care (1 obra) · Intensive care (1 obra) · Intensive care medicine (1 obra) · Internal Medicine (1 obra) · Low and middle income countries (1 obra) · Medicine (1 obra)