Back to search

Article

Identification of Distinct Clinical Phenotypes in Chemotherapy-Induced Neutropenic Fever Patients and Their Associated Predictors of Mortality

2026-05-29

Abstract excerpt

<title>Abstract</title> <p> <bold>Purpose</bold> Chemotherapy-induced neutropenic fever (NF) is clinically heterogeneous, yet current risk stratification relies on tools with limited objectivity and granularity. While the MASCC scoring system remains the most widely used tool for risk stratification, it is limited by subjective assessments and insufficient granularity in characterizing the heterogeneous NF popu...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
802bede5-b5e4-511f-9fbe-6627e26615d9
DOI
10.21203/rs.3.rs-9286426/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identification of Distinct Clinical Phenotypes in Chemotherapy-Induced Neutropenic Fever Patients and Their Associated Predictors of MortalityDOI 10.21203/rs.3.rs-9286426/v1
Outcomes of Patients Hospitalized with Neutropenic Fever and COVID-19 Infection: A Nationwide AnalysisSemantic proximity
Establishment of CORONET: COVID-19 Risk in Oncology Evaluation Tool to Identify Cancer Patients at Low Versus High Risk of Severe Complications of COVID-19 Infection Upon Presentation to HospitalSemantic proximity
ELN 2017 classification significantly impacts the risk of early death in acute myeloid leukemia patients receiving intensive induction chemotherapy.Semantic proximity
Predicting clinical outcome with phenotypic clusters in COVID-19 pneumonia: an analysis of 12,066 hospitalized patients from the Spanish registry SEMI-COVID-19Semantic proximity
Improving severity grading of chemotherapy-induced myelosuppression in AML via data-driven and model-based deep learningSemantic proximity
Risk assessment in fever and neutropenia in children with cancer: What did we learn?Semantic proximity
Establishment of a risk classifier to predict the in-hospital death risk of nosocomial infections caused by fungi in cancer patientsSemantic proximity
Machine Learning Models for Predicting Bacteraemia in Paediatric Febrile Neutropenia: Development and External Multicentre ValidationSemantic proximity
Deploying unsupervised clustering analysis to derive clinical phenotypes and risk factors associated with mortality risk in 2022 critically ill patients with COVID-19 in Spain.Semantic proximity
Clinical Characteristics of SARS-COV-2 Omicron Variant in Acute Myeloid Leukemia and Acute Lymphocytic Leukemia Patients: A Multi-Center Retrospective StudySemantic proximity
Derivation and validation of a prognostic model for predicting in-hospital mortality in patients admitted with COVID-19 in Wuhan, China: the PLANS (Platelet Lymphocyte Age Neutrophil Sex) modelSemantic proximity
Derivation, validation, and transcriptomic assessment of pediatric septic shock phenotypes identified through latent profile analyses: Results from a prospective multi-center observational cohortSemantic proximity
Select a neighboring publication to make it the new centre.