Clinical Characteristics and Outcomes of Pediatric Oncology Patients Admitted to the Pediatric Intensive Care Unit: A Single Center Experience in Saudi Arabia

Pediatric oncology patients admitted to the PICU experience substantial morbidity and mortality, underscoring the need for early risk identification and optimized supportive care.

Authors

Institutions

Publication Details

Journal
Children
Published
2025-12-31
DOI
https://doi.org/10.3390/children13010058
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical Characteristics and Outcomes of Pediatric Oncology Patients Admitted to the Pediatric Intensive Care Unit: A Single Center Experience in Saudi Arabia

Fatmah Othman, Faisal Althaqeel, Obaid Alfuraydi, Wafaa Aljizani et al.
Children
Sepsis Diagnosis and Treatment
article

Clinical Characteristics and Outcomes of Pediatric Oncology Patients Admitted to the Pediatric Intensive Care Unit: A Single Center Experience in Saudi Arabia

Fatmah Othman, Faisal Althaqeel, Obaid Alfuraydi, Wafaa Aljizani, Faisal Alrashed
article en

Abstract

Pediatric oncology patients admitted to the PICU experience substantial morbidity and mortality, underscoring the need for early risk identification and optimized supportive care.

ChildrenVol. 13(1)
King Saud bin Abdulaziz University for Health Sciences (SA), King Abdullah International Medical Research Center (SA), King Abdullah Medical City (SA)
Good health and well-being
Openalex Percentile: Top 29%
Sepsis Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.