Introduction The kinds of costs included in cost-effectiveness analyses (CEAs) for vaccines, such as direct medical costs and indirect costs, may affect their outcomes. While some guidelines recommend inclusion of costs associated with productivity losses/gains, very little guidance is provided about the productivity elements to include and their calculation approach.Areas covered We conducted a systematic review of CEAs for vaccines and vaccine programs published between 1 January 2010 and 19 November 2019 that included productivity costs using Medline, Embase, and the Cochrane Library. The kind of productivity elements included their calculation approach, and the impact of their inclusion on cost-effectiveness are summarized. Among 88 studies identified, productivity elements included were reported for 71 studies (81%) with absenteeism being the most commonly included element. Only 24 studies (27%) reported the approach used to calculate productivity costs (human capital vs. friction approach). PJ34 ic50 Most studies (81%) reported a more favorable cost-effectiveness with the inclusion of productivity losses/gains.Expert opinion Inclusion of productivity losses/gains for CEAs for vaccines has resulted in more favorable cost-effectiveness based on the studies reviewed. However, clearer guidance on the productivity elements to include by disease area and more transparency on the calculation method used may be needed.Introduction Axial osteosarcoma and Ewing sarcoma are rare, aggressive neoplasms with a worse prognosis than with tumors involving the extremities because they are more likely to be associated with larger tumor volumes, older age, primary metastases, and a poor histological response to chemotherapy. The 5-year OS rates are reportedly in the range of 18-41% for axial osteosarcoma, and 46-64% for Ewing sarcoma.Area covered The treatment of axial bone tumors is the same as for extremity bone tumors, and includes chemotherapy, surgery and/or radiotherapy.Expert opinion Local treatment of axial tumors is particularly difficult due to their proximity to neurological and vascular structures, which often makes extensive and en bloc resections impossible without causing significant morbidity. The incidence of local relapse is consequently high, and this is the main issue in the treatment of these tumors. Radiotherapy is an option in the case of surgical resections with close or positive margins, as well as for inoperable tumors. Delivering high doses of RT to the spinal cord can be dangerous. Given the complexity and rarity of these tumors, it is essential for this subset of patients to be treated at selected reference institutions with specific expertise and multidisciplinary skills.Bacillus licheniformis is a Gram positive spore-forming bacterial species of high biotechnological interest with numerous present and potential uses, including the production of bioactive compounds that are applied in a wide range of fields, such as aquaculture, agriculture, food, biomedicine, and pharmaceutical industries. Its use as an expression vector for the production of enzymes and other bioproducts is also gaining interest due to the availability of novel genetic manipulation tools. Furthermore, besides its widespread use as a probiotic, other biotechnological applications of B. licheniformis strains include bioflocculation, biomineralization, biofuel production, bioremediation, and anti-biofilm activity. Although authorities have approved the use of B. licheniformis as a feed additive worldwide due to the absence of toxigenic potential, some probiotics containing this bacterium are considered unsafe due to the possible transference of antibiotic resistance genes. The wide variability in biological activities and genetic characteristics of this species makes it necessary to establish an exact protocol for describing the novel strains, in order to evaluate its biotechnological potential.

To develop an effective nomogram and artificial neural network (ANN) model for predicting pleural effusion after percutaneous microwave ablation (MWA) in lung malignancy (LM) patients.

LM patients treated with MWA were randomly allocated to either the training cohort or the validation cohort (73). The predictors of pleural effusion identified by univariable and multivariable analyses in the training cohort were used to develop a nomogram and ANN model. The

-statistic was used to evaluate the predictive accuracy in both the training and validation cohorts.

A total of 496 patients (training cohort

 = 357; validation cohort

 = 139) were enrolled in this study. The predictors selected into the nomogram for pleural effusion included the maximum power (hazard ratio [HR], 1.060; 95% confidence interval [CI], 1.022-1.100,

 = 0.002), the number of pleural punctures (HR, 2.280; 95% CI, 1.103-4.722;

 = 0.026) and the minimum distance from needle to pleura (HR, 0.840; 95% CI, 0.775-0.899;

 < 0.001). The

-statistic showed good predictive performance in both cohorts, with a

-statistic of 0.866 (95% CI, 0.787-0.945) internally and 0.782 (95% CI, 0.644-0.920) externally (training cohort and validation cohort, respectively). The optimal cutoff value for the risk of pleural effusion was 0.16.

Maximum power, number of pleural punctures and minimum distance from needle to pleura were predictors of pleural effusion after MWA in LM patients. The nomogram and ANN model could effectively predict the risk of pleural effusion after MWA. Patients showing a high risk (>0.16) on the nomogram should be monitored for pleural effusion.

0.16) on the nomogram should be monitored for pleural effusion.

SARS-Cov-2 first appeared in Wuhan, China, in December 2019 and spread all over the world soon after that. Given the infectious nature ofSARS-CoV-2, fast and accurate diagnosis tools are important to detect the virus. In this review, we discuss the different diagnostic tests that are currently being implemented in laboratories and provide a description of various COVID-19 kits.

We summarize molecular techniques that target the viral load, serological methods used for SARS-CoV-2 specific antibodies detection as well as newly developed faster assays for the detection of SARS-COV 2 in various biological samples.

In the light of the widespread pandemic, the massive diagnosis of COVID-19, using various detection techniques, appears to be the most effective strategy for monitoring and containing its propagation.

In the light of the widespread pandemic, the massive diagnosis of COVID-19, using various detection techniques, appears to be the most effective strategy for monitoring and containing its propagation.