BACKGROUND: The objective of the current study was to provide insight into the effect of coronavirus disease 2019 (COVID-19) on breast cancer screening, breast surgery, and genetics consultations. METHODS: User data from a risk assessment company were collected from February 2 to April 11, 2020. The use of risk assessment was used as a proxy for the use of 3 breast cancer services, namely, breast imaging, breast surgery, and genetics consultation. Changes in the use of these services during the study period were analyzed. RESULTS: All 3 services experienced significant declines after the COVID-19 outbreak. The decline in breast surgery began during the week of March 8, followed by breast imaging and genetics consultation (both of which began during the week of March 15). Breast imaging experienced the most significant reduction, with an average weekly decline of 61.7% and a maximum decline of 94.6%. Breast surgery demonstrated an average weekly decline of 20.5%. When surgical consultation was stratified as breast cancer versus no breast cancer, the decrease among in non-breast cancer patients was more significant than that of patients with breast cancer (a decline of 66.8% vs 11.5% from the pre-COVID average weekly volume for non-breast cancer patients and patients with breast cancer, respectively). During the week of April 5, use of genetics consultations dropped to 39.9% of the average weekly volumes before COVID-19. CONCLUSIONS: COVID-19 has had a significant impact on the number of patients undergoing breast cancer prevention, screening, diagnosis, and treatment. Cancer 2020;126:4466-4472.

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PURPOSE Quantifying the risk of cancer associated with pathogenic mutations in germline cancer susceptibility genes—that is, penetrance—enables the personalization of preventive management strategies. Conducting a meta-analysis is the best way to obtain robust risk estimates. We have previously developed a natural language processing (NLP) –based abstract classifier which classifies abstracts as relevant to penetrance, prevalence of mutations, both, or neither. In this work, we evaluate the performance of this NLP-based procedure. MATERIALS AND METHODS We compared the semiautomated NLP-based procedure, which involves automated abstract classification and text mining, followed by human review of identified studies, with the traditional procedure that requires human review of all studies. Ten high-quality gene–cancer penetrance meta-analyses spanning 16 gene–cancer associations were used as the gold standard by which to evaluate the performance of our procedure. For each meta-analysis, we evaluated the number of abstracts that required human review (workload) and the ability to identify the studies that were included by the authors in their quantitative analysis (coverage). RESULTS Compared with the traditional procedure, the semiautomated NLP-based procedure led to a lower workload across all 10 meta-analyses, with an overall 84% reduction (2,774 abstracts v 16,941 abstracts) in the amount of human review required. Overall coverage was 93%—we are able to identify 132 of 142 studies—before reviewing references of identified studies. Reasons for the 10 missed studies included blank and poorly written abstracts. After reviewing references, nine of the previously missed studies were identified and coverage improved to 99% (141 of 142 studies). CONCLUSION We demonstrated that an NLP-based procedure can significantly reduce the review workload without compromising the ability to identify relevant studies. NLP algorithms have promising potential for reducing human efforts in the literature review process.

Although pulmonary artery sarcoma has a very poor prognosis, surgical treatment offers a chance for symptom relief and better long-term outcome. Aggressive postoperative adjuvant treatment may be necessary to improve survival.

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Human-induced climate change has accelerated in recent decades, causing adverse health effects. However, the impact of the changing climate on neurological disorders in the older population is not well understood. We applied time-varying Cox proportional hazards models to estimate the associations between hospital admissions for dementia and the mean and variability of summer and winter temperatures in New England. We estimated seasonal temperatures for each New England zip code using a satellite-based prediction model. By characterizing spatial differences and temporal fluctuations in seasonal temperatures, we observed a lower risk of dementia-associated hospital admissions in years when local temperatures in either summer (hazard ration [HR] = 0.98; 95% confidence interval [CI]: 0.96, 1.00) or winter (HR = 0.97; 95% CI: 0.94, 0.99) were higher than average, and a greater risk of dementia-associated admissions for older adults living in zip codes with higher temperature variations. Effect modifications by sex, race, age, and dual eligibility were considered to examine vulnerability of population subgroups. Our results suggest that cooler-than-average temperatures and higher temperature variability increase the risk of dementia-associated hospital admissions. Thus, climate change may affect progression of dementia and associated hospitalization costs.

The addition of phosphodiesterase (PDE) inhibitors has been reported to potentiate the antithrombotic effects of P2Y₁₂ antagonists without increasing bleeding risk. In this study, we report that a potent antiplatelet agent, 2-ethylthio-6-phenethylaminoadenosine (BF061), inhibits platelet activation and thrombosis via P2Y₁₂ antagonism and PDE inhibition. We explored the antiplatelet mechanism of BF061 by measuring cAMP, cGMP levels, PDE activity, and the interaction between ADP and P2Y₁₂ using atomic force microscopy. The antithrombotic effect of BF061 was evaluated in mice using intravital microscopy in FeCl₃₋induced mesenteric and laser-induced cremasteric arterial thrombosis models. BF061 robustly inhibited platelet aggregation and ATP release induced by multiple platelet agonists via P2Y₁₂ antagonism and PDE inhibition. Interestingly, despite being structurally similar to BF061, P2Y₁₂ receptor antagonist AR-C69931MX had no effect on human platelet PDE. In FeCl3-induced mesenteric arterial thrombosis model, BF061 effectively prevented thrombus formation similarly to clopidogrel; it also reduced thrombus volume in laser-injured cremaster arteriole model. In contrast, BF061 induced dramatically less bleeding at an antithrombotic dose compared to clopidogrel. In summary, we developed a novel antiplatelet and antithrombotic agent targeting both P2Y₁₂ and PDE. Given the prevalence of combined antiplatelet therapy in clinical practice, an antiplatelet agent bearing dual activities may have therapeutic advantage as a potential antithrombotic drug.