Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

[Admission or non admission of patients with cancer to the ICU].

Authors: Isabelle, Durrer; Viviane, Ribordy-Baudat; Daniel C, Betticher; Govind, Sridharan; Hatem, Ksouri;

[Admission or non admission of patients with cancer to the ICU].

Abstract

Determining if a critically ill patient with cancer will benefit from medical care in an intensive care unit can be a real challenge. Studies show that anticipating critical situations in oncology and collaboration between oncologists and intensivists diminish mortality and enhance resource use. This article covers some of the facts to consider in order to improve the management of these patients.

Keywords

Hospitalization, Intensive Care Units, Patient Admission, Critical Care, Critical Illness, Neoplasms, Humans, Medical Oncology

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!