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The management of alopecia areata (AA) in pediatric patients poses unique challenges, particularly regarding treatment discussions and decision making involving both patients and their families. This commentary presents findings from unpublished research on treatment-discontinuation discussions between AA patients and their treating providers, shedding light on the hopes, expectations, and disappointments of individuals with severe AA. The study explored patient and guardian satisfaction with these discussions, emphasizing the importance of addressing psychosocial concerns, facilitating contact with support groups, and demonstrating empathy.

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Importance of transparency and honesty in public health and environmental issues.

BMJ

June 2024

Scientific Committee, Italian branch, International Society of Doctors for the Environment.

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Harnessing causal forests for epidemiologic research: key considerations.

Am J Epidemiol

June 2024

Department of Social Epidemiology, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan.

Assessing heterogeneous treatment effects (HTEs) is an essential task in epidemiology. The recent integration of machine learning into causal inference has provided a new, flexible tool for evaluating complex HTEs: causal forest. In a recent paper, Jawadekar et al (Am J Epidemiol.

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