Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer.

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3 and 9q31.1) and one for endometrioid EOC (5q12.3). We then performed meta-analysis on the results for high-grade serous ovarian cancer with the results from analysis of 31,448 BRCA1 and BRCA2 mutation carriers, including 3,887 mutation carriers with EOC. This identified three additional susceptibility loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a new candidate susceptibility gene for low-grade and borderline serous EOC

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Modelos de Zolnier e Campbell-Norman para estimativa da temperatura do ar no Rio de Janeiro

RESUMOForam comparados os modelos de Zolnier e Campbell-Norman para estimativa da temperatura horária do ar de duas Estações Meteorológicas Automáticas (Ecologia Agrícola e São Cristóvão), ambas localizadas na Região Metropolitana do Rio de Janeiro. As observações horárias de temperatura compreenderam o período de 2008-2010, sendo avaliadas as estimativas nas escalas sazonal e anual. A comparação entre a temperatura do ar observada e os valores estimados por ambos os modelos foi baseada na análise de regressão linear simples (coeficiente de determinação - R2) e no Erro Padrão de Estimativa (EPE). Independente da escala de tempo avaliada (sazonal ou anual), o modelo de Zolnier se destacou nas estimativas da variação diária da temperatura do ar com menor dispersão das estimativas (R2 = 0,87-0,89) e menor EPE (1,44-1,84 °C) em relação ao modelo de Campbell-Norman (R2 = 0,71-0,63 e EPE 2,23-2,75 °C). O coeficiente R2indicou melhor precisão das estimativas dos modelos para a Ecologia Agrícola, com valores superiores nas estações da primavera (0,91), verão (0,87) e outono (0,87) e valor igual (0,85) ao R2 de São Cristóvão, no inverno. O modelo de Zolnier pode ser adotado para estimativa da temperatura do ar horária na Região Metropolitana do Rio de Janeiro.</p