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Cited by 349

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Role and Relevance of Neurocognitive Assessment in Clinical Trials of Patients With CNS Tumors

Meyers, Christina A., Brown, Paul D.·2006·Journal of Clinical Oncology

Abstract

The inclusion of neurocognitive end points in clinical trials of patients with CNS tumors is increasing. Neurocognitive end points are used to understand what cognitive problems exist before treatment to establish a baseline by which the effect of treatment is judged, and to determine whether different treatment regimens improve neurocognitive function due to better tumor control, slow expected neurocognitive deterioration due to the tumor, or have more or less short- and long-term neurotoxicity. However, the use of neurocognitive end points in clinical trials for patients with CNS tumors is in its infancy, so that long-term outcomes are difficult to predict and the ability to determine the effects of different agents and treatment approaches is scant. Including this aspect of patient evaluation in addition to survival and time to tumor progression will yield better risk-versus-benefit assessments as well as provide a basis for improving interventions.

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Metadata

Authors
Meyers, C. A., & Brown, P. D.
Venue
Journal of Clinical Oncology
Published
2006-03-10
Volume
24
Issue
8
Pages
1305-1309
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W2108956608
Cited by
349
References
21
FWCI
12.34
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Role and Relevance of Neurocognitive Assessment in Clinical Trials of Patients With CNS Tumors. https://app.cochat.ai/papers/10.1200/jco.2005.04.6086
The paper
Meyers, C. A., & Brown, P. D. (2006). Role and Relevance of Neurocognitive Assessment in Clinical Trials of Patients With CNS Tumors. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2005.04.6086

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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.