Automated exposure notification for COVID-19

In the current COVID-19 pandemic, various Automated Exposure Notification (AEN) systems have been proposed to help quickly identify potential contacts of infected individuals. All these systems try to leverage the current understanding of the following factors: transmission risk, technology to address risk modeling, system policies and privacy considerations. While AEN holds promise for mitigating the spread of COVID-19, using short-range communication channels (Bluetooth) in smartphones to detect close individual contacts may be inaccurate for modeling and informing transmission risk. This work finds that the current close contact definitions may be inadequate to reduce viral spread using AEN technology. Consequently, relying on distance measurements from Bluetooth Low-Energy may not be optimal for determining risks of exposure and protecting privacy. This paper's literature analysis suggests that AEN may perform better by using broadly accessible technologies to sense the respiratory activity, mask status, or environment of participants. Moreover, the paper remains cognizant that smartphone sensors can leak private information and thus recommends additional objectives for maintaining user privacy without compromising utility for population health. This literature review and analysis will simultaneously interest (i) health professionals who desire a fundamental understanding of the design and utility of AEN systems and (ii) technologists interested in understanding their epidemiological basis in the light of recent research. Ultimately, the two disparate communities need to understand each other to assess the value of AEN systems in mitigating viral spread, whether for the COVID-19 pandemic or for future ones.U01 CA243004 - NCI NIH HHS; 000000000000000000000000000000000000000000000000000000037211 - SRI InternationalPublished versio

A Review of Skull Base Tumor Clinical Trials: Past Trends and Future Opportunities

Objective Tumors of the anterior and lateral skull base (TALSB) are relatively rare but can be devastating to patients. By examining trials focused on TALSB, we can characterize the studies that predominate and better understand current directions of study. This gives us a better understanding of future studies to pursue. Study Design This is a retrospective analysis. Settings We set skull base tumor clinical trials in the United States which are listed in ClinicalTrials.gov. Subjects and Methods We used the information available on ClinicalTrials.gov to identify trends in clinical trials studying sinonasal/anterior skull base (SNASB) tumors, vestibular schwannoma (VS), and pituitary tumors. The publication rate for these trials was examined using PubMed.gov. Results Of the 71 trials analyzed, 83% investigated treatments for pituitary tumors, 16% for VSs, and 1% for SNASB tumors. Drug studies comprised 90% of all trials, while 9% included radiation therapy in their treatment and 10% included and surgical component. Overall, 64% had their results published in a peer-reviewed journal. Conclusion Among TALSB clinical trials we analyzed, they are weighted heavily toward drug trials. Radiation therapy and surgery, common treatment modalities, are underrepresented in clinical trials. There is a gap between the trials conducted and the rate of reporting, with an emphasis on positive results

Pituitary Carcinoma Diagnosis and Survival Improvement, with Affordable Care Act Correlation: A SEER Database Study

Abstract Introduction Pituitary carcinomas are challenging tumors to diagnose and treat due to their rarity and limited data surrounding their etiology. Traditionally, these patients have exhibited poor survival. Over the last several decades, our understanding of pituitary carcinomas has dramatically increased, and there have been recent initiatives to improve patient access to health care, including the Affordable Care Act (ACA). This study investigates whether there were any changes in incidence and treatment outcomes of pituitary carcinoma that correlated with these advances. Methods A retrospective case review was conducted utilizing the Surveillance, Epidemiology, and End Results (SEER) database of the National Cancer Institute. Those with primary site pituitary tumors with noncontiguous metastases were identified from 1975 to 2016. Demographic data, overall, and cause-specific outcomes were obtained. The data were analyzed using SPSS to generate 5-year Kaplan–Meier curves. Results The incidence of pituitary carcinoma pre- and post-ACA was 0.31 and 2.14 diagnoses/year, respectively. This represents a significant increase (Chi-square, p &lt; 0.00002). In addition, 1-, 2-, and 5-year overall survival of these patients was determined to be 88.2, 74.0, and 66.6% which was significantly improved compared with prior studies. Cause-specific survival of these patients follow similar trends exhibiting 94.1, 79.0, 71.1% after 1, 2, and 5 years, respectively. Conclusion The survival for pituitary carcinoma has improved significantly which signals a change in how practitioners should counsel their patients. There is a significant surge in the number of cases in the post-ACA timeline, which suggests that improving patient access has played a part in wider recognition and treatment initiation for this disease.</jats:p