Using SWOG-Medicare database to evaluate long-term toxicities of cancer survivors
Using SWOG-Medicare database to evaluate long-term toxicities of cancer survivors
批准号:
8435898
负责人:
DAWN HERSHMAN
金额:
$33.96万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-02-15 至 2017-01-31
关键词:
AcuteAdverse effectsAgeAndrogensAreaBreastCancer SurvivorCancer SurvivorshipCardiovascular systemCessation of lifeClinicalClinical TreatmentClinical TrialsClinical Trials Cooperative GroupClinical Trials DatabaseCommon Terminology Criteria for Adverse EventsComorbidityCurrent Procedural Terminology CodesDataDatabasesDemographic FactorsDiabetes MellitusDiagnosisDoseEligibility DeterminationEnrollmentEvaluationFinasterideGenderHealthHealth Insurance Portability and Accountability ActHealthcare Common Procedure Coding SystemHeterogeneityHospitalizationHypertensionICD-9IncidenceInstitutional Review BoardsIntravenousKidneyLate EffectsLinkLong-Term SurvivorsMalignant NeoplasmsMalignant neoplasm of prostateMedicalMedical SurveillanceMedicareMedicare claimMethodologyNeurologicNon-Small-Cell Lung CarcinomaObservational StudyOncology GroupOralOutcomePatientsPelvic CancerPharmaceutical PreparationsPlacebosPlatinum CompoundsPopulationPreventionPrognostic FactorProstateRaceRadiationRadiation therapyRandomizedRandomized Clinical TrialsRecurrenceResearchResearch PersonnelResourcesRiskSamplingSelection BiasSouthwest Oncology GroupSurvivorsTaxane CompoundToxic effectTreatment Factoradministrative databasebasecancer recurrencecancer therapychemotherapycostdemographicsdeprivationfollow-upgastrointestinalhigh risk menimprovedmalignant breast neoplasmnovel strategiespopulation basedprognosticprospectiveprostate cancer preventionsubcutaneoustaxanetooltreatment durationtreatment effecttumor
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): There are over 12 million cancer survivors in the UC. Cancer survivorship and understanding late effects of cancer therapy is a high priority area. The linkage of the powerful SWOG clinical trial database to Medicare claims data provides a unique opportunity to evaluate late effects of therapy, and may establish a mechanism for identifying differences in outcomes between treatment groups after the clinical trial follow-up ends. We propose to use a database that has linked patients enrolled on SWOG clinical treatment and prevention trials where detailed information on demographics, tumor details, prognostic factors, clinical factors, treatment type (intravenous, subcutaneous and oral) and dose received, short term toxicities during the treatment period, recurrence and survival outcomes are captured with Medicare claims data (based on ICD-9, HCPCS, and CPT codes) which can provide long-term follow-up with underlying illnesses, comorbid conditions, new diagnoses, subsequent treatment, hospitalizations and costs/resource utilization associated with treatment. For the specific aims of
our proposal, we will use the SWOG-Medicare linked database to determine the long term cardiovascular, hematologic, gastrointestinal, renal, endocrinologic and neurologic complications of (a) patients with prostate cancer randomized to continuous vs intermittent androgen deprivation (b) patients with prostate cancer treated with and without androgen deprivation (c) patients with breast and prostate cancer treated with and without taxanes (d) patients with non-small cell lung cancer treated with and without platinum agents (e) patients with pelvic cancer treated with chemotherapy and radiation vs. radiation alone. For each of these sub-aims, we will examine how these complications vary by pre-existing co-morbidities, such as diabetes and hypertension, as well as clinical and demographic factors, and examine the relationship between short term toxicities assessed during therapy on a clinical trial, as characterized by the Common Toxicity Criteria (CTC-AE), and long-term toxicities. Using the unique and valuable linked Medicare claims database with the NCI clinical trials database of the Southwest Oncology Group, we can perform analyses that overcome limitations of previously conduced population based research that utilized the SEER-Medicare database alone. If we can better predict who is at greatest risk for late toxicity, and who is not, we can improve long term outcomes for the growing population of cancer survivors
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