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Cited by 179

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The Symptoms of Advanced Cancer: Identification of Clinical and Research Priorities by Assessment of Prevalence and Severity

Donnelly, Sinead, Walsh, Declan, Rybicki, Lisa·1995·Journal of Palliative Care

Abstract

In advanced cancer, when cure is impossible, symptoms should be the focus of attention. We report the first prospective, systematic analysis of the severity of 37 symptoms in 1000 patients with advanced cancer, using the Paradox relational database. Pain, easy fatigue, and anorexia were consistently among the 10 most prevalent symptoms associated with cancer at all sites. When pain, anorexia, weakness, anxiety, lack of energy, easy fatigue, early satiety, constipation, and dyspnea were present, 60%-80% of patients rated them as moderate or severe, i.e. of clinical importance. The most common symptoms were also the most severe. In general the same symptoms were clinically important at most primary sites. Clinically important dyspnea, hoarseness, hiccough, and dysphagia were more common in men; anxiety, nausea, vomiting, and early satiety in women. Clinically important dyspepsia, nausea, and vomiting occurred more frequently in gynecological cancers.

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Metadata

Authors
Donnelly, S., Walsh, D., & Rybicki, L.
Venue
Journal of Palliative Care
Published
1995-03
Volume
11
Issue
1
Pages
27-32
ISSN
  • 0825-8597 (ISSN-L)
  • 2369-5293
OpenAlex
W67106863
Cited by
179
References
0
FWCI
5.82
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Symptoms of Advanced Cancer: Identification of Clinical and Research Priorities by Assessment of Prevalence and Severity. https://app.cochat.ai/papers/10.1177/082585979501100105
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Donnelly, S., Walsh, D., & Rybicki, L. (1995). The Symptoms of Advanced Cancer: Identification of Clinical and Research Priorities by Assessment of Prevalence and Severity. Journal of Palliative Care. https://doi.org/10.1177/082585979501100105

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.