Disordered Eating in Hidradenitis Suppurativa: A Systematic Review.

Importance: Hidradenitis suppurativa (HS) is a chronic inflammatory condition characterized by painful nodules and abscesses that have a significant impact on quality of life. In addition to other psychological comorbidities, patients with HS often face body image issues and emotional distress that may increase the risk of maladaptive eating behaviors and disordered eating.

Objective: To explore the role of disordered eating behaviors and diagnosed eating disorders among patients with HS and examine the underexplored relationship between HS and disordered eating.

Subclinical Synovitis Among Patients With Psoriasis Without Musculoskeletal Involvement: A Systematic Review and Meta-Analysis.

Importance: Psoriasis affects up to 3% of the population, with 30% of patients with psoriasis developing psoriatic arthritis (PsA), yet the transition between psoriasis and PsA has yet to be fully understood. Subclinical synovitis is a hallmark of PsA and is thought to precede psoriatic arthritis; its detection among patients with psoriasis without musculoskeletal (MSK) involvement through medical imaging modalities could offer valuable insights into the transition from psoriasis to PsA.

Objective: To evaluate the prevalence of synovitis on ultrasonograms and magnetic resonance imaging (MRI) among patients with psoriasis without MSK involvement compared with healthy controls and patients with PsA.

Efficacy of oral isotretinoin monotherapy compared to combination isotretinoin and topical clascoterone for severe acne vulgaris: a multi-center retrospective study.

Introduction: Severe nodular acne causes significant psychological distress and reduces quality of life. Clascoterone 1% cream, a novel anti-androgen with a favorable safety profile, may enhance the efficacy of oral isotretinoin, the gold-standard therapy for severe acne. This study compared isotretinoin monotherapy with isotretinoin plus topical clascoterone 1% cream.

Machine learning methods for determining skin age: A systematic review.

Aim: This systematic review explores how machine learning is used in determining skin aging, aiming to evaluate accuracy, limitations, and gaps in the current literature.

Materials And Methods: OVID Embase, OVID Medline, IEEE Xplore, and ACM Digitial Library were searched from inception to March 16, 2024.

Results: A total of 1467 non-duplicate articles were screened, and 27 were ultimately included in the systematic review.