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Alexander J. Hodakowski,Johnathon R. McCormick,Dhanur Damodar,Matthew R. Cohn,Kyle D. Carey,Nikhil N. Verma,Gregory Nicholson,Grant E Garrigues 대한견주관절학회 2023 대한견주관절의학회지 Vol.26 No.1
Background: This study analyzed questions entered online by rotator cuff patients and determined types and quality of websites providing information at the top of queries. Methods: Three strings related to rotator cuff repair were explored in Google Search. The result pages were manually collected under the “People also ask” function for frequent questions and associated webpages. Questions were categorized using Rothwell’s classification with further topical subcategorization. Webpages were evaluated by Journal of American Medical Association (JAMA) benchmark criteria for source quality. Results: One hundred twenty “People also ask” questions were collected with their associated webpages. Based on the Rothwell classification of questions, queries were thematically organized into fact (41.7%), value (31.7%), and policy (26.7%) categories. The most common webpage categories were academic (28.3%) and medical practice (27.5%). The most common question subcategories were timeline of recovery (21.7%), indications/management (21.7%), and pain (18.3%). The average JAMA score for all 120 webpages was 1.50. Journal articles had the highest average JAMA score (3.77), while commercial websites had the lowest JAMA score (0.91). The most common suggested question for rotator cuff repair/surgery was, “Is rotator cuff surgery worth having?,” while the most common suggested question for rotator cuff repair pain was, “What happens if a rotator cuff is not repaired?” Conclusions: The most common questions asked on Google pertaining to rotator cuff repair evaluate management options and relate to the timeline of recovery and pain management. Most information is provided by medical practice, academic, and medical information websites, which have highly variable reliability. By understanding the questions that rotator cuff repair patients are asking online, surgeons can tailor preoperative education to common patient concerns and improve postoperative outcomes. Level of evidence: IV.
Decker, Zachary C. J.,Zarzana, Kyle J.,Coggon, Matthew,Min, Kyung-Eun,Pollack, Ilana,Ryerson, Thomas B.,Peischl, Jeff,Edwards, Pete,Dubé,, William P.,Markovic, Milos Z.,Roberts, James M.,Veres, American Chemical Society 2019 Environmental science & technology Vol.53 No.5
<P>Biomass burning (BB) is a large source of reactive compounds in the atmosphere. While the daytime photochemistry of BB emissions has been studied in some detail, there has been little focus on nighttime reactions despite the potential for substantial oxidative and heterogeneous chemistry. Here, we present the first analysis of nighttime aircraft intercepts of agricultural BB plumes using observations from the NOAA WP-3D aircraft during the 2013 Southeast Nexus (SENEX) campaign. We use these observations in conjunction with detailed chemical box modeling to investigate the formation and fate of oxidants (NO<SUB>3</SUB>, N<SUB>2</SUB>O<SUB>5</SUB>, O<SUB>3</SUB>, and OH) and BB volatile organic compounds (BBVOCs), using emissions representative of agricultural burns (rice straw) and western wildfires (ponderosa pine). Field observations suggest NO<SUB>3</SUB> production was approximately 1 ppbv hr<SUP>-1</SUP>, while NO<SUB>3</SUB> and N<SUB>2</SUB>O<SUB>5</SUB> were at or below 3 pptv, indicating rapid NO<SUB>3</SUB>/N<SUB>2</SUB>O<SUB>5</SUB> reactivity. Model analysis shows that >99% of NO<SUB>3</SUB>/N<SUB>2</SUB>O<SUB>5</SUB> loss is due to BBVOC + NO<SUB>3</SUB> reactions rather than aerosol uptake of N<SUB>2</SUB>O<SUB>5</SUB>. Nighttime BBVOC oxidation for rice straw and ponderosa pine fires is dominated by NO<SUB>3</SUB> (72, 53%, respectively) but O<SUB>3</SUB> oxidation is significant (25, 43%), leading to roughly 55% overnight depletion of the most reactive BBVOCs and NO<SUB>2</SUB>.</P> [FIG OMISSION]</BR>
Evaluating the contribution of rare variants to type 2 diabetes and related traits using pedigrees
Jun, Goo,Manning, Alisa,Almeida, Marcio,Zawistowski, Matthew,Wood, Andrew R.,Teslovich, Tanya M.,Fuchsberger, Christian,Feng, Shuang,Cingolani, Pablo,Gaulton, Kyle J.,Dyer, Thomas,Blackwell, Thomas W. National Academy of Sciences 2018 PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF Vol.115 No.2
<P>A major challenge in evaluating the contribution of rare variants to complex disease is identifying enough copies of the rare alleles to permit informative statistical analysis. To investigate the contribution of rare variants to the risk of type 2 diabetes (T2D) and related traits, we performed deep whole-genome analysis of 1,034 members of 20 large Mexican-American families with high prevalence of T2D. If rare variants of large effect accounted for much of the diabetes risk in these families, our experiment was powered to detect association. Using gene expression data on 21,677 transcripts for 643 pedigree members, we identified evidence for large-effect rare-variant c/s-expression quantitative trait loci that could not be detected in population studies, validating our approach. Flowever, we did not identify any rare variants of large effect associated with T2D, or the related traits of fasting glucose and insulin, suggesting that large-effect rare variants account for only a modest fraction of the genetic risk of these traits in this sample of families. Reliable identification of large-effect rare variants will require larger samples of extended pedigrees or different study designs that further enrich for such variants.</P>