Clinical and Environment Factors Impacting Malignant Pleural Mesothelioma Prognosis

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Current Surgical Indications for Non-Small-Cell Lung Cancer

With recent strides made within the field of thoracic oncology, the management of NSCLC is evolving rapidly. Careful patient selection and timing of multi-modality therapy to permit the optimization of therapeutic benefit must be pursued. While chemotherapy and radiotherapy continue to have a role in the management of lung cancer, surgical therapy remains an essential component of lung cancer treatment in early, locally and regionally advanced, as well as in selected, cases of metastatic disease. Recent and most impactful advances in the treatment of lung cancer relate to the advent of immunotherapy and targeted therapy, molecular profiling, and predictive biomarker discovery. Many of these systemic therapies are a part of the standard of care in metastatic NSCLC, and their indications are expanding towards surgically operable lung cancer to improve survival outcomes. Numerous completed and ongoing clinical trials in the surgically operable NSCLC speak to the interest and importance of the multi-modality therapy even in earlier stages of NSCLC. In this review, we focus on the current standard of care indications for surgical therapy in stage I-IV NSCLC as well as on the anticipated future direction of multi-disciplinary lung cancer therapy

The evaluation of e-learning resources as an adjunct to otolaryngology teaching : a pilot study

Background: The concept of e-Learning has been rapidly accepted as an important component of medical education and is especially adept at teaching clinical skills. However, their impact on learning, particularly in Otolaryngology Head and Neck Surgery (OHNS) medical school curriculum, has yet to be adequately explored. The aim of this pilot study is to develop interactive e-Learning resources and evaluate their impact in enhancing OHNS teaching in medical school. Methods: This pilot study is a randomized controlled trial assessing the effectiveness of e-Learning resources in enhancing the current traditional lecture and tutorial-based teaching of OHNS in medical school. Nineteen final-year medical students from the University of Sydney were recruited for this study, who were randomly allocated into intervention group with additional e-Learning resources (Group A) and control group (Group B). Student knowledge was assessed through objective structured clinical examinations (OSCE) with use of standardized forms for objective scoring. Assessors were blinded to student randomization status. A post-study questionnaire was distributed to assess student feedback on the e-Learning resources. Results: Eight students were allocated to Group A and 11 students to Group B. Group A performed significantly better than Group B in the overall examination scores (78.50 ± 13.88 v. 55.82 ± 8.23; P = < 0.01). With the minimum pass mark of 65%, the majority of students in Group A was able to pass the OSCE assessments, while the majority of students in Group B failed (87.50% v. 9.10%; P = 0.01). The post-test questionnaire on the e-Learning resources showed very favorable feedback from the students’ perspective. Conclusion: Results from our pilot study suggests that the use of interactive online e-Learning resources can be a valuable adjunct in supplementing OHNS teaching in medical school, as they are readily accessible and allow flexible on-demand learning. Future studies involving large numbers of medical students are needed to validate these results

Deconvoluting complex correlates of COVID-19 severity with a multi-omic pandemic tracking strategy

The SARS-CoV-2 pandemic has differentially impacted populations across race and ethnicity. A&nbsp;multi-omic&nbsp;approach represents a powerful tool to examine risk across multi-ancestry genomes. We leverage a pandemic tracking strategy in which we sequence viral and host genomes and transcriptomes from nasopharyngeal swabs of 1049 individuals (736 SARS-CoV-2 positive and 313 SARS-CoV-2 negative) and integrate them with digital phenotypes from electronic health records from a diverse catchment area in Northern California. Genome-wide&nbsp;association disaggregated by admixture mapping reveals novel COVID-19-severity-associated regions containing previously reported markers of neurologic, pulmonary and viral disease susceptibility. Phylodynamic tracking of consensus viral genomes reveals no association with disease severity or inferred ancestry. Summary data from multiomic investigation reveals metagenomic and HLA associations with severe COVID-19. The wealth of data available from residual nasopharyngeal swabs in combination with clinical data abstracted automatically at scale highlights a powerful strategy for pandemic tracking, and reveals distinct epidemiologic, genetic, and biological associations for those at the highest risk