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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Archivio Istituziona...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ONCOLOGY
Article . 2002
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Classification of cancer pain syndromes.

Authors: Caraceni A; Weinstein SM;

Classification of cancer pain syndromes.

Abstract

Cancer patients experience pain in multiple sites and from several pathophysiologies of the symptom complex. The fluctuating nature of cancer pain intensity is a relevant clinical feature and depends on disease patterns and pain mechanisms. Breakthrough pain is defined as episodes of pain that "break through" the control of an otherwise effective analgesic therapy. Traditional ways of classifying pain in the cancer population include distinguishing pain associated with the treatments, the tumor, or unrelated to both and between chronic and acute pain. In focusing on the care of the cancer patient with pain, it is useful to be familiar with the characteristics of the typical syndrome found in association with different tumor types and anatomic locations. An understanding of the etiology of pain in relation to the cancer is useful in recognizing these complications and in treating them. This article reviews the methods presently applied to the classification of cancer pain and highlights the need for more research in this area.

Country
Italy
Related Organizations
Keywords

Neoplasms, Humans, Pain, Severity of Illness Index, Neoplasm Staging, Pain Measurement

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    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).
    27
    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).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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!
27
Average
Top 10%
Average
Related to Research communities
Cancer Research
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