Kidney international
Authors: Levin A, Ahmed SB, Carrero JJ, Foster B, Francis A, Hall RK, Herrington WG, Hill G, Inker LA, Kazancioglu R, Lamb E, Lin P, Madero M, McIntyre N, Morrow K, Roberts G, Sabanayagam D, Schaeffner E, Shlipak M, Shroff R, Tangri N, Thanachayanont T, Ulasi I, Wong G, Yang CW, Zhang L, Robinson KA, Wilson L, Wilson RF, Kasiske BL, Cheung M, Earley A, Stevens PE
The Lancet. Oncology
Authors: Layman RM, Han HS, Rugo HS, Stringer-Reasor EM, Specht JM, Dees EC, Kabos P, Suzuki S, Mutka SC, Sullivan BF, Gorbatchevsky I, Wesolowski R
American journal of kidney diseases : the official journal of the National Kidney Foundation
Authors: Johansen KL, Gilbertson DT, Li S, Li S, Liu J, Roetker NS, Ku E, Schulman IH, Greer RC, Chan K, Abbott KC, Butler CR, O'Hare AM, Powe NR, Reddy YNV, Snyder J, St Peter W, Taylor JS, Weinhandl ED, Wetmore JB
JAMA internal medicine
Authors: Haber LA, Williams BA
The Gerontologist
Authors: Kotwal AA, Allison TA, Halim M, Garrett SB, Perissinotto CM, Ritchie CS, Smith AK, Harrison KL
Arthritis & rheumatology (Hoboken, N.J.)
Authors: Baraliakos X, Østergaard M, Poddubnyy D, van der Heijde D, Deodhar A, Machado PM, Navarro-Compán V, Hermann KGA, Kishimoto M, Lee EY, Gensler LS, Kiltz U, Eigenmann MF, Pertel P, Readie A, Richards HB, Porter B, Braun J
Pacing and clinical electrophysiology : PACE
Authors: Kratka A, Rotering TL, Raitt MH, Whooley MA, Dhruva SS
Cytotherapy
Authors: Trivedi A, Lin M, Miyazawa B, Nair A, Vivona L, Fang X, Bieback K, Schäfer R, Spohn G, McKenna D, Zhuo H, Matthay MA, Pati S
Volume 7 of Issue 1 | NPJ digital medicine
Authors: Somani S, Balla S, Peng AW, Dudum R, Jain S, Nasir K, Maron DJ, Hernandez-Boussard T, Rodriguez F
Coronary artery calcium (CAC) is a powerful tool to refine atherosclerotic cardiovascular disease (ASCVD) risk assessment. Despite its growing interest, contemporary public attitudes around CAC are not well-described in literature and have important implications for shared decision-making around cardiovascular prevention. We used an artificial intelligence (AI) pipeline consisting of a semi-supervised natural language processing model and unsupervised machine learning techniques to analyze 5,606 CAC-related discussions on Reddit. A total of 91 discussion topics were identified and were classified into 14 overarching thematic groups. These included the strong impact of CAC on therapeutic decision-making, ongoing non-evidence-based use of CAC testing, and the patient perceived downsides of CAC testing (e.g., radiation risk). Sentiment analysis also revealed that most discussions had a neutral (49.5%) or negative (48.4%) sentiment. The results of this study demonstrate the potential of an AI-based approach to analyze large, publicly available social media data to generate insights into public perceptions about CAC, which may help guide strategies to improve shared decision-making around ASCVD management and public health interventions.
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Open forum infectious diseases
Authors: Duarte MJ, Tien PC, Kardashian A, Ma Y, Hunt P, Kuniholm MH, Adimora AA, Fischl MA, French AL, Topper E, Konkle-Parker D, Minkoff H, Ofotokun I, Plankey M, Sharma A, Price JC