Five-factor personality traits and functional somatic disorder: A systematic review and meta-analysis.

Introduction: Functional Somatic Disorders (FSD) is an umbrella term for various conditions characterized by persistent and troublesome physical symptoms, that are not better explained by other psychiatric or somatic conditions. Personality traits may play a crucial role in FSD, but the link is not fully understood. This study presents a systematic review and meta-analysis examines the relationship between the Five-Factor Model (FFM) of personality traits and FSD.

A Novel Machine Learning Model to Predict Revision ACL Reconstruction Failure in the MARS Cohort.

Background: As machine learning becomes increasingly utilized in orthopaedic clinical research, the application of machine learning methodology to cohort data from the Multicenter ACL Revision Study (MARS) presents a valuable opportunity to translate data into patient-specific insights.

Purpose: To apply novel machine learning methodology to MARS cohort data to determine a predictive model of revision anterior cruciate ligament reconstruction (rACLR) graft failure and features most predictive of failure.

Study Design: Cohort study; Level of evidence, 3.

Surgical Predictors of Clinical Outcome 6 Years After Revision ACL Reconstruction.

Background: Revision anterior cruciate ligament (ACL) reconstruction has been documented to have inferior outcomes compared with primary ACL reconstruction. The reasons why remain unknown.

Purpose: To determine whether surgical factors performed at the time of revision ACL reconstruction can influence a patient's outcome at 6-year follow-up.

Visualization Atlases: Explaining and Exploring Complex Topics through Data, Visualization, and Narration.

This paper defines, analyzes, and discusses the emerging genre of visualization atlases. We currently witness an increase in web-based, data-driven initiatives that call themselves "atlases" while explaining complex, contemporary issues through data and visualizations: climate change, sustainability, AI, or cultural discoveries. To understand this emerging genre and inform their design, study, and authoring support, we conducted a systematic analysis of 33 visualization atlases and semi-structured interviews with eight visualization atlas creators.