Predicting microbiologically defined infection in febrile neutropenic episodes in children: Global individual participant data multivariable meta-analysis

Keyphrases

• Meta-analysis 100%
• Fever 100%
• Multivariable 100%
• Febrile Neutropenia 100%
• Neutropenia 100%
• Individual Participant Data 100%
• White Cell Count 66%
• Children with Cancer 33%
• Malignancy 33%
• Confidence Interval 33%
• Acute Myeloid Leukemia 33%
• Adverse Outcomes 33%
• Clinical Data 33%
• Risk Stratification 33%
• Low Risk 33%
• Mucositis 33%
• Osteosarcoma 33%
• Bootstrap 33%
• Risk Prediction Model 33%
• Ewing Sarcoma 33%
• Hemoglobin 33%
• High-risk Cases 33%
• Early Discharge 33%
• Infectious Complications 33%
• Laboratory Data 33%
• Calibration Slope 33%
• New Prediction Model 33%
• Area under the Receiver Operating Characteristic (AUROC) 33%
• Prediction Model 33%
• Sensitivity Analysis 33%
• Personalized Decision Making 33%
• Univariable Analysis 33%
• Absolute Monocyte Count 33%
• Background Risk 33%
• Random-effect Logistic Regression 33%
• Intensive Management 33%
• Decreased Risk 33%
• High Temperature 33%
• Young People 33%
• Individual Patient Data Meta-analysis 33%
• Predictive Models 33%

Medicine and Dentistry

• Infection 100%
• Meta-Analysis 100%
• Neutropenia 75%
• Cell Count 50%
• Leukocyte 50%
• Malignant Neoplasm 25%
• Cancer 25%
• Acute Myeloid Leukemia 25%
• Adverse Outcome 25%
• Decision Making 25%
• Mucositis 25%
• Logistic Regression Analysis 25%
• Clinician 25%
• Prospective Study 25%
• Patient-Data 25%
• Ewing Sarcoma 25%
• Osteosarcoma 25%
• Infectious Complication 25%
• Cross-Validation 25%

Pharmacology, Toxicology and Pharmaceutical Science

• Infection 100%
• Neutropenia 75%
• Malignant Neoplasm 25%
• Acute Myeloid Leukemia 25%
• Mucosa Inflammation 25%
• Osteosarcoma 25%
• Ewing Sarcoma 25%
• Prospective Study 25%
• Infectious Complication 25%
• Adverse Outcome 25%
• Cross-Validation 25%