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1.
Urology ; 140: 51-55, 2020 06.
Artigo em Inglês | MEDLINE | ID: mdl-32165276

RESUMO

OBJECTIVE: To identify whether institutions with strong conflicts of interest (COI) policies receive less industry payments than those with weaker policies. While industry-physician interactions can have collaborative benefits, financial COI can undermine preservation of the integrity of professional judgment and public trust. To address this concern, academic institutions have adopted COI policies. It is unclear whether the strength of COI policy correlates with industry payments in urology. MATERIALS AND METHODS: 131 US academic urology programs were surveyed on their COI policies, and graded according to the American Medical Student Association (AMSA) criteria. Strength of COI policy was compared against industry payments in the Center for Medicare and Medicaid Services Open Payments database. RESULTS: Fifty-seven programs responded to the survey, for a total response rate of 44%. There was no difference between COI policy groups on total hospital payments (P = .05), total department payments (P = .28), or dollars per payment (P = .57). On correlation analysis, there was a weak but statistically nonsignificant correlation between AMSA Industry Policy Survey Score and Open Payments payments (ρ = -0.14, P = .32). CONCLUSION: Strength of conflicts of interest policy in academic urology did not correlate to industry payments within the Open Payments database. Establishment of strong COI policy may create offsetting factors that mitigate the intended effects of the policy. Further studies will be required to develop the evidence base for policy design and implementation across various specialties.


Assuntos
Conflito de Interesses/economia , Conflito de Interesses/legislação & jurisprudência , Indústria Manufatureira/economia , Urologia/economia , Centers for Medicare and Medicaid Services, U.S. , Bases de Dados Factuais/economia , Bases de Dados Factuais/estatística & dados numéricos , Humanos , Relações Interinstitucionais , Indústria Manufatureira/ética , Inquéritos e Questionários/estatística & dados numéricos , Estados Unidos , Urologia/educação , Urologia/ética , Urologia/estatística & dados numéricos
2.
Urology ; 130: 48-53, 2019 08.
Artigo em Inglês | MEDLINE | ID: mdl-31026476

RESUMO

OBJECTIVE: To model the risk of secondary malignancy and associated mortality due to ionizing radiation from the evaluation and management of nephrolithiasis. METHODS: A PUBMED-based literature search was performed to identify model inputs, specifically annual incidence of nephrolithiasis sub-stratified by age and gender and radiation exposure associated with nephrolithiasis episodes. Estimates of age and gender specific radiation-induced malignancy and mortality rates were obtained from the BEIR VII Phase 2 report with dose extrapolation using the linear no-threshold model. RESULTS: Incidence of new diagnoses of nephrolithiasis ranged from 42/100,000 in males 20-30 years old to 248/100,000 in males 60-70 years old. Radiation exposure per nephrolithiasis episode was 37.3 mSv over a 2-year period. Data regarding average stone episodes per patient with nephrolithiasis was limited and conservatively estimated at 1.5. Modeled lifetime attributable risk of secondary malignancy and subsequent mortality in individual stone patients ranged from 0.096% and 0.085%, respectively, in males over the age of 70 to 0.59% and 0.39% in females 20-30 years old. In the USA, overall incidence of secondary malignancy and associated mortality related to nephrolithiasis management was calculated to be 862.7 and 545.3 cases/year, respectively. CONCLUSION: This model suggests that ionizing radiation from the management of nephrolithiasis carries a small but significant risk of causing secondary malignancy. This knowledge must be considered when using modalities that involve radiation in the diagnosis and therapeutic management of nephrolithiasis.


Assuntos
Cálculos Renais/radioterapia , Neoplasias Induzidas por Radiação/epidemiologia , Segunda Neoplasia Primária/epidemiologia , Adulto , Idoso , Feminino , Humanos , Incidência , Masculino , Pessoa de Meia-Idade , Modelos Estatísticos , Radioterapia/efeitos adversos , Medição de Risco , Adulto Jovem
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