Integrating natural gradients, experiments, and statistical modeling in a distributed network experiment: An example from the WaRM Network.

A growing body of work examines the direct and indirect effects of climate change on ecosystems, typically by using manipulative experiments at a single site or performing meta-analyses across many independent experiments. However, results from single-site studies tend to have limited generality. Although meta-analytic approaches can help overcome this by exploring trends across sites, the inherent limitations in combining disparate datasets from independent approaches remain a major challenge.

Lymphadenectomy in surgical stage I epithelial ovarian cancer.

Objective: To identify the extent of lymphadenectomy performed in women presenting with epithelial ovarian cancer macroscopically confined to the ovary. Furthermore, the effect of lymphadenectomy on overall survival is evaluated.

Design: A prospective nationwide case-only study.

Comorbidity is an independent prognostic factor in women with uterine corpus cancer: a nationwide cohort study.

Objective: To determine whether comorbidity independently affects overall survival in women with uterine corpus cancer.

Design: Cohort study.

Setting: Denmark.

Estrogenic effect of the phytoestrogen biochanin A in zebrafish, Danio rerio, and brown trout, Salmo trutta.

Unlabelled: Isoflavones with estrogenic activity produced in Fabaceae plants are known to leach from agricultural areas to freshwater systems, but the effect of waterborne isoflavones in fish has not been thoroughly characterized. Therefore, the estrogenic effect of waterborne biochanin A was investigated in zebrafish (Danio rerio) and juvenile brown trout (Salmo trutta). Exposure of juvenile brown trout to 10 μg biochanin AL(-1) or higher caused marked vitellogenin induction after 9-10 days of exposure and so did exposure to 186 μg biochanin AL(-1) for 6h.

Comorbidity is an independent prognostic factor for the survival of ovarian cancer: a Danish register-based cohort study from a clinical database.

Objective: The aim of the study was to examine whether comorbidity is an independent prognostic factor for 3129 women diagnosed with ovarian cancer from 2005 to 2011. As Performance status (PS) might capture the impact of comorbidity we addressed whether comorbidity can be explained by PS or whether comorbidity has an independent impact on survival.

Methods: The Danish Gynecological Cancer Database (DGCD) is a national clinical database including information on comorbidity and a large number of tumor-related and patient-related factors.