RESUMO
Lymphocele is one of the most common complications after radical prostatectomy. Multiple authors have proposed the use of vessel sealants or peritoneal interposition techniques as preventive interventions. This study aimed to aggregate and analyze the available literature on different interventions which seek to prevent lymphocele through a Bayesian Network. A systematic review was performed to identify prospective studies evaluating strategies for lymphocele prevention after robot assisted laparoscopic prostatectomy + pelvic lymph node dissection. Data was inputted into Review Manager 5.4 for pairwise meta-analysis. Data was then used to build a network in R Studio. These networks were used to model 200,000 Markov Chains via MonteCarlo sampling. The results are expressed as odds ratios (OR) with 95% credible intervals (CrI). Meta-regression was used to determine coefficient of change and adjust for pelvic lymph node dissection extent. Ten studies providing data from 2211 patients were included. 1097 patients received an intervention and 1114 patients served as controls. Interposition with fenestration had the lowest risk of developing a lymphocele (OR 0.14 [0.04, 0.50], p = 0.003). All interventions, except sealants or patches, had significant decreased odds of lymphocele rates. Meta-analysis of all the included studies showed a decreased risk of developing a lymphocele (OR 0.42 [0.33, 0.53], p < 0.00001) for the intervention group. Perivesical fixation and interposition with fenestration appear to be effective interventions for reducing the overall incidence of lymphocele.
Assuntos
Linfocele , Procedimentos Cirúrgicos Robóticos , Humanos , Masculino , Teorema de Bayes , Excisão de Linfonodo/efeitos adversos , Linfocele/etiologia , Linfocele/prevenção & controle , Metanálise em Rede , Estudos Prospectivos , Prostatectomia/efeitos adversos , Procedimentos Cirúrgicos Robóticos/métodosRESUMO
In the United States, about 28 lives are lost daily in motor vehicle accidents that involve an alcohol-impaired driver. While most states have enacted various traffic laws to address this phenomenon, little consensus exists on the causal impact of these laws in reducing alcohol-induced fatalities. This paper exploits quasi-random variation in state-level laws to estimate the causal effect of alcohol-related traffic laws on the frequency of fatal accidents. This is identified from the discontinuities in traffic laws among contiguous counties that are separated by a shared state border. We present robust evidence that the conventional approaches that are typically utilized in the literature may erroneously estimate the effectiveness of several alcohol-related laws.