All Publications


  • #CosmeticsTwitter: Predicting Public Interest in Nonsurgical Cosmetic Procedures Using Twitter Data. Aesthetic surgery journal Cohen, S. A., Tijerina, J. D., Shah, S. A., Amarikwa, L., Kossler, A. L. 2022

    Abstract

    The use of social media in plastic surgery is expanding. The Twitter Academic Research Product Tract (TARPT) database provides plastic surgeons the opportunity to monitor public interest in plastic surgery procedures. Previously, TARPT has been shown to be effective in tracking public interest in surgical cosmetic facial and body procedures.To determine the ability of the TARPT tool to track and predict public interest in nonsurgical cosmetic procedures and to examine temporal public interest trends in nonsurgical cosmetic procedures.We used the TARPT tool to calculate the total number of tweets containing keywords related to 15 nonsurgical cosmetic procedures from 2010 to 2020. We obtained annual case volumes for each of the 15 procedures from annual reports provided by the American Society of Plastic Surgeons (ASPS). We used univariate linear regression to compare tweet volumes and procedure volumes, using P < 0.05 as a threshold for significance.Univariate linear regression revealed significant positive correlations between tweet volumes and ASPS procedure volumes for 10 search terms representing six nonsurgical cosmetic procedures: "xeomin", "microdermabrasion", "facial filler", "fat filler", "fat injections", "fat transfer", "hyaluronic acid filler", "hyaluronic acid injection", "HA filler", and "PRP filler". Thirty-two search terms did not demonstrate a significant relationship, illustrating the importance of careful selection of search terms.Our analyses demonstrates that the TARPT tool is an informative data source for plastic surgeons, with the potential to (1) guide marketing and advertising strategies and (2) monitor real-time public interest in nonsurgical cosmetic procedures, helping surgeons respond to patients' evolving needs.

    View details for DOI 10.1093/asj/sjac147

    View details for PubMedID 35675468

  • Pulling Back the Curtain: How Many California Hospitals Are Complying with Federal Price Transparency Rules? Baker, L., Mulaney, B., Shah, S. A., Kim, C. California Health Care Foundation. 2021
  • A Common Outer Retinal Change in Retinal Degeneration by Optical Coherence Tomography Can Be Used to Assess Outcomes of Gene Therapy HUMAN GENE THERAPY Joe, M., Li, W., Hiriyanna, S., Yu, W., Shah, S. A., Abu-Asab, M., Qian, H., Wu, Z. 2019; 30 (12): 1520–30

    Abstract

    Identifying early disease hallmarks in animal models with slow disease progression may expedite disease detection and assessment of treatment outcomes. Using optical coherence tomography, a widely applied noninvasive method for monitoring retinal structure changes, we analyzed retinal optical sections from six mouse lines with retinal degeneration caused by mutations in different disease-causing genes. While images from wild-type mice revealed four well-separated hyper-reflective bands in the outer retina (designated as outer retina reflective bands, ORRBs) at all ages, the second band (ORRB2) and the third band (ORRB3) were merged in retinas of five mutant mouse lines at early ages, suggesting the pathological nature of this alteration. This ORRB change appeared to be degenerating photoreceptor related, and occurred before obvious morphological changes that can be identified on both hematoxylin and eosin-stained sections and electron microscopic sections. Importantly, the merging of ORRB2 and ORRB3 was reversed by treatment with adeno-associated viral vector-mediated gene replacement therapies, and this restoration occurred much earlier than measurable functional or structural improvement. Our data suggest that the ORRB change could be a common hallmark of early retinal degeneration and its restoration could be used for rapid and noninvasive assessment of therapeutic effects following gene therapy or other treatment interventions.

    View details for DOI 10.1089/hum.2019.162

    View details for Web of Science ID 000500758500001

    View details for PubMedID 31672061

    View details for PubMedCentralID PMC6919282