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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 Seminars in Oncologyarrow_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
Seminars in Oncology
Article . 2002 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Prognostic factors in mesothelioma

Authors: Jeremy P C, Steele;

Prognostic factors in mesothelioma

Abstract

Prognostic factors in oncology may help physicians give their patients a prognosis for their disease and thus allow them to make plans for the future. These factors also assist in the selection of patients more likely to benefit from intensive treatments, especially in the context of clinical trials. Recently it has become clear that prognostic factors may have an additional benefit: they may provide insight into the biology of the cancer being studied and lead to improved understanding of the molecular pathogenesis. For malignant mesothelioma, the prognostic scoring systems of the Cancer and Leukemia Group B (CALGB) and European Organization for Research and Treatment of Cancer (EORTC) are the most useful of those currently available. These systems rate performance status, age, histological subtype, weight loss, and hematological parameters as the best prognostic factors for malignant mesothelioma. In the future, biological markers may provide additional information on mesothelioma and will help in prognostication.

Related Organizations
Keywords

Mesothelioma, Pleural Neoplasms, Humans, Prognosis, Severity of Illness Index

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    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.
    Top 10%
    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.
    Top 10%
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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!
35
Top 10%
Top 10%
Top 10%
Related to Research communities
Cancer Research
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