How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?
about
Research into practice: acutely ill children.Diagnosing serious infections in acutely ill children in ambulatory care (ERNIE 2 study protocol, part A): diagnostic accuracy of a clinical decision tree and added value of a point-of-care C-reactive protein test and oxygen saturation.Optimizing antibiotic prescribing for acutely ill children in primary care (ERNIE2 study protocol, part B): a cluster randomized, factorial controlled trial evaluating the effect of a point-of-care C-reactive protein test and a brief intervention coAlarming signs and symptoms in febrile children in primary care: an observational cohort study in The NetherlandsThe predictive value of the NICE "red traffic lights" in acutely ill children.A high resolution computer tomography scoring system to predict culture-positive pulmonary tuberculosis in the emergency departmentTranslation of clinical prediction rules for febrile children to primary care practice: an observational cohort study.Validating a decision tree for serious infection: diagnostic accuracy in acutely ill children in ambulatory careUse of alarm features in referral of febrile children to the emergency department: an observational study.Pediatric Patients Discharged from the Emergency Department with Abnormal Vital Signs.Fever in Children: Pearls and Pitfalls.Febrile infants and children in the emergency department: Reducing fever to its simplest form.Validation of the Feverkidstool and procalcitonin for detecting serious bacterial infections in febrile children.Reducing inappropriate antibiotic prescribing for children in primary care: a cluster randomised controlled trial of two interventions.
P2860
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P2860
How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?
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2013 nî lūn-bûn
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2013 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2013年の論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年论文
@wuu
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How well do clinical predictio ...... k of ambulatory care datasets?
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How well do clinical predictio ...... k of ambulatory care datasets?
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How well do clinical predictio ...... k of ambulatory care datasets?
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How well do clinical predictio ...... k of ambulatory care datasets?
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How well do clinical predictio ...... k of ambulatory care datasets?
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How well do clinical predictio ...... k of ambulatory care datasets?
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How well do clinical predictio ...... k of ambulatory care datasets?
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How well do clinical predictio ...... k of ambulatory care datasets?
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How well do clinical predictio ...... k of ambulatory care datasets?
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P2093
P2860
P356
P1433
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How well do clinical predictio ...... k of ambulatory care datasets?
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P2093
Ann Van den Bruel
Bert Aertgeerts
David Mant
European Research Network on Recognising Serious Infection (ERNIE)
Henriette A Moll
Jan Y Verbakel
Marjolein Y Berger
Matthew Thompson
Monica Lakhanpaul
Rianne Oostenbrink
P2860
P2888
P356
10.1186/1741-7015-11-10
P407
P577
2013-01-15T00:00:00Z
P5875
P6179
1000707385