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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 Cancer Treatment Rev...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
Cancer Treatment Reviews
Article . 2001 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Ovarian cancer chemotherapy

Authors: J, Christian; H, Thomas;

Ovarian cancer chemotherapy

Abstract

The treatment of ovarian cancer has evolved over the past two decades from one of palliation to one where patients can achieve prolonged remission and cure. Although prognosis remains poor, it has improved with the intervention of a multidisciplinary team and greater site specialization in the organization of cancer services. The introduction of new chemotherapy agents both as first line treatment and on relapse has had a benefit in terms of overall survival and progression-free survival. In this review we describe first-line therapy, including the use of intraperitoneal chemotherapy, the importance of dose and dose intensity in platinum agents and the treatment of refractory and relapsed disease. Finally the review focuses on important prognostic factors and how these can be used to predict outcome.

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Keywords

Ovarian Neoplasms, Dose-Response Relationship, Drug, Antineoplastic Combined Chemotherapy Protocols, Palliative Care, Humans, Female, Cisplatin, Neoplasm Recurrence, Local, Prognosis

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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!
24
Top 10%
Top 10%
Top 10%
Related to Research communities
Cancer Research
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