Literature DB >> 25604593

Prevalence of off-label use of oral oncolytics at a community cancer center.

Joseph A Kalis1, Simon J Pence2, Robert S Mancini2, Dan S Zuckerman2, Joseph R Ineck2.   

Abstract

PURPOSE: Oral oncolytics are becoming increasingly utilized for cancer treatment, but the frequency of off-label oral oncolytic use is not well described. The extent of off-label oral oncolytic use is a concern because the clinical benefits of such use to patients may not outweigh adverse health outcomes or cost concerns.
METHODS: Prescription data for January 2011 through November 2013 from the St. Lukes Mountain States Tumor Institute (MSTI) Oral Chemotherapy program (OCP) was retrospectively analyzed. Use was classified as "on-label" if the cancer site, stage, and line of therapy met the FDA-approved indication. All other uses were classified as "off- label." Off-label use was further evaluated by whether it conformed to and was supported by National Comprehensive Cancer Network (NCCN) guideline recommendations.
RESULTS: Twelve hundred and six first-fill oral chemotherapy prescriptions were reviewed, representing 990 unique patients and 44 individual medications. On-label use amounted to 71% and off-label use amounted to 29%. Eighty-eight percent of off-label uses were supported by NCCN guideline recommendations. A total of 3.3% of all prescriptions analyzed were for off-label uses not supported by NCCN guideline recommendations. The top five oral chemotherapies prescribed for off-label uses were capecitabine, temozolomide, lenalidomide, abiraterone, and everolimus.
CONCLUSION: Oral chemotherapies are more often used on label than off label in current practice at our community cancer center. The majority of off-label use of oral oncolytics in this study was supported by NCCN guideline recommendations.
Copyright © 2015 by American Society of Clinical Oncology.

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Year:  2015        PMID: 25604593     DOI: 10.1200/JOP.2014.001354

Source DB:  PubMed          Journal:  J Oncol Pract        ISSN: 1554-7477            Impact factor:   3.840


  3 in total

1.  Proof-of-concept study: Homomorphically encrypted data can support real-time learning in personalized cancer medicine.

Authors:  Silvia Paddock; Hamed Abedtash; Jacqueline Zummo; Samuel Thomas
Journal:  BMC Med Inform Decis Mak       Date:  2019-12-04       Impact factor: 2.796

2.  Immune Checkpoint Inhibitor Uptake in Real-World Patients With Malignant Pleural Mesothelioma.

Authors:  Roger Y Kim; Nandita Mitra; Stephen J Bagley; Melina E Marmarelis; Andrew R Haas; Katharine A Rendle; Anil Vachani
Journal:  JTO Clin Res Rep       Date:  2021-05-18

3.  Level of evidence used in recommendations by the National Comprehensive Cancer Network (NCCN) guidelines beyond Food and Drug Administration approvals.

Authors:  R Kurzrock; L A Gurski; R W Carlson; D S Ettinger; S M Horwitz; S K Kumar; L Million; M von Mehren; A B Benson
Journal:  Ann Oncol       Date:  2019-10-01       Impact factor: 32.976

  3 in total

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