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1.
Urology ; 155: 82, 2021 09.
Artigo em Inglês | MEDLINE | ID: mdl-34489008
2.
Curr Probl Cancer ; 45(6): 100740, 2021 12.
Artigo em Inglês | MEDLINE | ID: mdl-33931243

RESUMO

We investigated the association between lymph node yield (LNY) with overall survival (OS) and post-radical prostatectomy (RP) secondary treatments among men with pathologically node negative (pN0) prostate cancer. We reviewed the National Cancer Database for men with Gleason Grade Group 2 or higher prostate cancer treated with RP and had pathologically node-negative disease. LNY was modeled as a continuous and categorical variable grouped by quartiles of LNY. Secondary treatment was defined as the use of radiation or systemic therapy post-RP. Multivariable Cox proportional hazards and logistic regression models were used to test for an association of LNY with OS and secondary treatments, respectively. We identified 89,416 men with pN0 prostate cancer treated with RP from 2010-2015. LNY was associated with improved OS when modeled as a categorical and continuous variable. The third (6-9 nodes) and fourth (≥10 nodes) quartiles of LNY were associated with improved OS (HR 0.87, 95% CI 0.79-0.96, P = 0.006 and HR 0.88, 95% CI 0.79-0.98, P= 0.017, respectively) when compared with the lowest quartile of LNY (≤3 nodes) and the hazard of death decreased by 1% for each benign lymph node removed (HR 0.99, 95% CI 0.98-0.99, P= 0.022). Additionally, categorical and continuous LNY was associated with significantly less use of post-RP secondary treatments. Removal of additional negative lymph nodes was associated with improved OS and less secondary treatments in patients with pN0 prostate cancer. These data suggest that removing a higher quantity of lymph nodes provides more accurate staging and prognosis.


Assuntos
Linfonodos/patologia , Neoplasias da Próstata/mortalidade , Neoplasias da Próstata/patologia , Idoso , Humanos , Excisão de Linfonodo , Masculino , Pessoa de Meia-Idade , Gradação de Tumores , Prostatectomia , Neoplasias da Próstata/cirurgia , Porto Rico/epidemiologia , Sistema de Registros , Estudos Retrospectivos , Taxa de Sobrevida , Estados Unidos/epidemiologia
3.
Urology ; 147: 50-56, 2021 01.
Artigo em Inglês | MEDLINE | ID: mdl-32966822

RESUMO

OBJECTIVE: To test for an association between surgical delay and overall survival (OS) for patients with T2 renal masses. Many health care systems are balancing resources to manage the current COVID-19 pandemic, which may result in surgical delay for patients with large renal masses. METHODS: Using Cox proportional hazard models, we analyzed data from the National Cancer Database for patients undergoing extirpative surgery for clinical T2N0M0 renal masses between 2004 and 2015. Study outcomes were to assess for an association between surgical delay with OS and pathologic stage. RESULTS: We identified 11,848 patients who underwent extirpative surgery for clinical T2 renal masses. Compared with patients undergoing surgery within 2 months of diagnosis, we found worse OS for patients with a surgical delay of 3-4 months (hazard ratio [HR] 1.12, 95% confidence interval [CI] 1.00-1.25) or 5-6 months (HR 1.51, 95% CI 1.19-1.91). Considering only healthy patients with Charlson Comorbidity Index = 0, worse OS was associated with surgical delay of 5-6 months (HR 1.68, 95% CI 1.21-2.34, P= .002) but not 3-4 months (HR 1.08, 95% CI 0.93-1.26, P = 309). Pathologic stage (pT or pN) was not associated with surgical delay. CONCLUSION: Prolonged surgical delay (5-6 months) for patients with T2 renal tumors appears to have a negative impact on OS while shorter surgical delay (3-4 months) was not associated with worse OS in healthy patients. The data presented in this study may help patients and providers to weigh the risk of surgical delay versus the risk of iatrogenic SARS-CoV-2 exposure during resurgent waves of the COVID-19 pandemic.


Assuntos
COVID-19/prevenção & controle , Tomada de Decisão Clínica , Neoplasias Renais/mortalidade , Nefrectomia/estatística & dados numéricos , Tempo para o Tratamento/estatística & dados numéricos , Idoso , COVID-19/epidemiologia , COVID-19/transmissão , Controle de Doenças Transmissíveis/normas , Bases de Dados Factuais/estatística & dados numéricos , Feminino , Humanos , Estimativa de Kaplan-Meier , Neoplasias Renais/patologia , Neoplasias Renais/cirurgia , Masculino , Pessoa de Meia-Idade , Mortalidade/tendências , Estadiamento de Neoplasias , Nefrectomia/normas , Nefrectomia/tendências , Pandemias/prevenção & controle , Modelos de Riscos Proporcionais , Porto Rico/epidemiologia , Estudos Retrospectivos , SARS-CoV-2/patogenicidade , Fatores de Tempo , Tempo para o Tratamento/tendências , Estados Unidos/epidemiologia
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