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1.
Clin Genitourin Cancer ; 18(4): 274-283.e5, 2020 08.
Artigo em Inglês | MEDLINE | ID: mdl-32335059

RESUMO

PURPOSE: To compare metastasis-free survival, overall survival, and patient-reported quality of life (QOL) of men with National Comprehensive Cancer Network high or very high risk prostate cancer after definitive surgery and/or multimodal radiotherapy (RT). PATIENTS AND METHODS: We studied a retrospective cohort study of 586 patients treated between the years 2000 and 2017 receiving radical prostatectomy with or without postoperative RT, external-beam RT (EBRT) with androgen deprivation therapy (ADT), or EBRT plus brachytherapy (Brachy) boost + ADT. Patient-reported QOL for urinary, bowel, sexual, and overall physical and mental functioning was assessed using the American Urological Association symptom scale, the Sexual Health Inventory in Men, the Rectal-Function Assessment Scale, the Expanded Prostate Cancer Index Composite, and the Veterans RAND 12-Item Health Survey. RESULTS: Median follow-up for survival was 5 years. No significant differences between the treatments were observed for overall survival or metastasis-free survival at the P < .05 threshold. The propensity-adjusted 5-year metastasis-free survival estimates for EBRT + ADT, EBRT + Brachy + ADT, and surgery were 74.6%, 94.8%, and 83.1%, respectively. The EBRT + Brachy + ADT and surgery cohorts had significantly worse mean American Urological Association symptom scores at 6 months than the EBRT + ADT cohort, which resolved by 1 year. Surgical patients had better rectal function scores than EBRT + ADT patients at years 1 to 3, but similar function thereafter. Adjuvant or salvage RT resulted in significant declines in various Expanded Prostate Cancer Index Composite urinary, sexual, and bowel domains, and Veterans RAND 12-Item Health Survey physical but not mental domains. CONCLUSION: Men with very and/or high-risk localized prostate cancer are likely to require multimodal therapy. The overall differences in survival and long-term QOL are similar for men choosing surgical versus RT pathways.


Assuntos
Antagonistas de Androgênios/uso terapêutico , Braquiterapia/mortalidade , Prostatectomia/mortalidade , Neoplasias da Próstata/mortalidade , Neoplasias da Próstata/secundário , Qualidade de Vida , Idoso , Terapia Combinada , Seguimentos , Humanos , Masculino , Pessoa de Meia-Idade , Medidas de Resultados Relatados pelo Paciente , Prognóstico , Estudos Prospectivos , Neoplasias da Próstata/terapia , Estudos Retrospectivos , Taxa de Sobrevida , Conduta Expectante
2.
BMC Bioinformatics ; 10 Suppl 2: S4, 2009 Feb 05.
Artigo em Inglês | MEDLINE | ID: mdl-19208192

RESUMO

BACKGROUND: This paper proposes that interoperability across biomedical databases can be improved by utilizing a repository of Common Data Elements (CDEs), UML model class-attributes and simple lexical algorithms to facilitate the building domain models. This is examined in the context of an existing system, the National Cancer Institute (NCI)'s cancer Biomedical Informatics Grid (caBIG). The goal is to demonstrate the deployment of open source tools that can be used to effectively map models and enable the reuse of existing information objects and CDEs in the development of new models for translational research applications. This effort is intended to help developers reuse appropriate CDEs to enable interoperability of their systems when developing within the caBIG framework or other frameworks that use metadata repositories. RESULTS: The Dice (di-grams) and Dynamic algorithms are compared and both algorithms have similar performance matching UML model class-attributes to CDE class object-property pairs. With algorithms used, the baselines for automatically finding the matches are reasonable for the data models examined. It suggests that automatic mapping of UML models and CDEs is feasible within the caBIG framework and potentially any framework that uses a metadata repository. CONCLUSION: This work opens up the possibility of using mapping algorithms to reduce cost and time required to map local data models to a reference data model such as those used within caBIG. This effort contributes to facilitating the development of interoperable systems within caBIG as well as other metadata frameworks. Such efforts are critical to address the need to develop systems to handle enormous amounts of diverse data that can be leveraged from new biomedical methodologies.


Assuntos
Algoritmos , Biologia Computacional/métodos , Bases de Dados Factuais , Sistemas de Gerenciamento de Base de Dados , Informática Médica , Software , Interface Usuário-Computador
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