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Cited by 1,151

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Development of the National Cancer Institute's Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE)

Open access
Basch, E., Reeve, B. B., Mitchell, S. A., Clauser, S. B., Minasian, L. M., Dueck, A. C., Mendoza, T. R., Hay, J., Atkinson, T. M., Abernethy, A. P., Bruner, D. W., Cleeland, C. S., Sloan, J. A., Chilukuri, R., Baumgartner, P., Denicoff, A., St. Germain, D., O'Mara, A. M., Chen, A., Kelaghan, J., Bennett, A. V., Sit, L., Rogak, L., Barz, A., Paul, D. B., Schrag, D.·2014·JNCI Journal of the National Cancer Institute

Abstract

The standard approach for documenting symptomatic adverse events (AEs) in cancer clinical trials involves investigator reporting using the National Cancer Institute's (NCI's) Common Terminology Criteria for Adverse Events (CTCAE). Because this approach underdetects symptomatic AEs, the NCI issued two contracts to create a patient-reported outcome (PRO) measurement system as a companion to the CTCAE, called the PRO-CTCAE. This Commentary describes development of the PRO-CTCAE by a group of multidisciplinary investigators and patient representatives and provides an overview of qualitative and quantitative studies of its measurement properties. A systematic evaluation of all 790 AEs listed in the CTCAE identified 78 appropriate for patient self-reporting. For each of these, a PRO-CTCAE plain language term in English and one to three items characterizing the frequency, severity, and/or activity interference of the AE were created, rendering a library of 124 PRO-CTCAE items. These items were refined in a cognitive interviewing study among patients on active cancer treatment with diverse educational, racial, and geographic backgrounds. Favorable measurement properties of the items, including construct validity, reliability, responsiveness, and between-mode equivalence, were determined prospectively in a demographically diverse population of patients receiving treatments for many different tumor types. A software platform was built to administer PRO-CTCAE items to clinical trial participants via the internet or telephone interactive voice response and was refined through usability testing. Work is ongoing to translate the PRO-CTCAE into multiple languages and to determine the optimal approach for integrating the PRO-CTCAE into clinical trial workflow and AE analyses. It is envisioned that the PRO-CTCAE will enhance the precision and patient-centeredness of adverse event reporting in cancer clinical research.

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Metadata

Authors
Basch, E., Reeve, B. B., Mitchell, S. A., Clauser, S. B., Minasian, L. M., Dueck, A. C., Mendoza, T. R., Hay, J., Atkinson, T. M., Abernethy, A. P., Bruner, D. W., Cleeland, C. S., Sloan, J. A., Chilukuri, R., Baumgartner, P., Denicoff, A., St. Germain, D., O'Mara, A. M., Chen, A., Kelaghan, J., Bennett, A. V., Sit, L., Rogak, L., Barz, A., Paul, D. B., & Schrag, D.
Venue
JNCI Journal of the National Cancer Institute
Published
2014-09-29
Volume
106
Issue
9
Pages
dju244-dju244
ISSN
  • 0027-8874 (ISSN-L)
  • 1460-2105
OpenAlex
W2113464761
Cited by
1,151
References
3
FWCI
26.71
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Development of the National Cancer Institute's Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE). https://app.cochat.ai/papers/10.1093/jnci/dju244
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Basch, E., Reeve, B. B., Mitchell, S. A., Clauser, S. B., Minasian, L. M., Dueck, A. C., Mendoza, T. R., Hay, J., Atkinson, T. M., Abernethy, A. P., Bruner, D. W., Cleeland, C. S., Sloan, J. A., Chilukuri, R., Baumgartner, P., Denicoff, A., St. Germain, D., O'Mara, A. M., Chen, A., . . . Schrag, D. (2014). Development of the National Cancer Institute's Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE). JNCI Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/dju244

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.