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Measuring Clinically Significant Chemotherapy-Related Toxicities Using Medicare Claims From Cancer and Leukemia Group B (CALGB) Trial Participants

Bibliographic Data

ID9099018
AuthorsElizabeth B Lamont (0000-0001-6604-678X, Harvard University, corresponding author), James E Herndon (0000-0001-7998-3588, Duke Medical Center), Jane C Weeks (Dana-Farber Cancer Institute), I Craig Henderson (University of California, San Francisco), Rogerio Lilenbaum (Mount Sinai Medical Center, corresponding author), Richard L Schilsky (0000-0003-4474-4303, Central Statistical Office), Nicholas A Christakis (0000-0001-5547-1086, Central Statistical Office)
Year2008
Volume46
Issue3
Pages303-308
Publication date2008-03-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0b013e31815cecc3
PMID18388845
PMCIDPMC4158032
OpenAlexW2063342133
LanguageEN
References cited22

BACKGROUND: Because the elderly are underrepresented on clinical trials, physicians have few sources of information to estimate the risks (ie, toxicities) and benefits of chemotherapy administration to the elderly. OBJECTIVE: Our goal was to determine whether the standard measures of toxicity used in clinical trials could be captured from observational Medicare claims data. METHODS: We identified 175 elderly clinical trial patients treated on 2 Cancer and Leukemia Group B (CALGB) trials (9344, adjuvant breast study and 9730, advanced lung cancer study) and merged participants' CALGB data with their Medicare data. From CALGB data, we identified the most frequent Extended Clinical Toxicity Critieria grade III/IV toxicities. We reviewed diagnostic and procedure codes from Medicare manuals, developed algorithms to measure the toxicities, and then finalized the algorithms after empiric review of patients' codes. We compared results of Medicare algorithms to gold standard CALGB toxicity information to calculate test characteristics. RESULTS: CALGB data documented that 15 grade III/IV chemotherapy-related toxicities occurred in > or =3% of the 175 patients: white blood cell, hemoglobin, platelets, anorexia, nausea, vomiting, diarrhea, stomatitis, sensory neuropathy, motor neuropathy, motor or sensory neuropathy, dyspnea, hyperglycemia, infection, and malaise. Vomiting was the only toxicity identified by the Medicare-based algorithm with a sensitivity, specificity, and area under the receiver operator curve of > or =80%. CONCLUSIONS: The results of this preliminary study suggest that Medicare diagnostic and procedure codes may be of only limited value in measuring clinically significant chemotherapy-related toxicities in elderly Medicare beneficiaries. Future research includes confirming these findings in a larger and more diverse sample

Cancer · Chemotherapy · Leukemia · Cancer Treatment and Pharmacology · Frailty in Older Adults · Internal Medicine · Medicine · Oncology · Safe Handling of Antineoplastic Drugs

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    Elizabeth R DeLong, David M Delong et al.•Biometrics•1988

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    Vivek H Murthy, Harlan M Krumholz et al.•JAMA•2004

  • External Validation of Medicare Claims for Breast Cancer Chemotherapy Compared With Medical Chart Reviews

    Xianglin L Du, Charles R Key et al.•Medical Care•2006

  • Utility of the Seer-Medicare Data to Identify Chemotherapy Use

    Joan L Warren, Linda C Harlan et al.•Medical Care•2002

  • Studying Radiation Therapy Using Seer-Medicare-Linked Data

    Beth A Virnig, Joan L Warren et al.•Medical Care•2002

  • Construct Validity of Medicare Chemotherapy Claims

    Elizabeth B Lamont, Diane S Lauderdale et al.•Medical Care•2002

  • Use of Seer-Medicare Data for Measuring Cancer Surgery

    Gregory S Cooper, Beth A Virnig et al.•Medical Care•2002

Citation velocityhistorical
Highly citedNo

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