A Scoping Review of Primary Breast Cancer Risk Reduction Strategies in East and Southeast Asia.

Breast cancer (BC) screening enables early detection and timely treatment of cancer. Improving the effectiveness of BC screening can be accomplished by personalizing screening schedules according to each woman's specific risk level. However, when informing women about their risk classification, especially those at high risk, it is important to give clear recommendations on how to lower their risk.

A Nomogram for Predicting Prognostic Assessment of Traumatic Intracranial Hematoma: A Retrospective Cohort Study.

Background: This retrospective study aimed to identify key prognostic factors for patients with traumatic intracranial hemorrhage (TICH) and develop a comprehensive nomogram for prognostic assessment.

Methods: A retrospective study was carried out on TICH patients at a single-center hospital from October 2013 to September 2022. Using logistic regression analyses, key prognostic factors for TICH were identified and used to create a predictive nomogram model.

Reverse Time-to-Death as Time-Scale in Time-to-Event Analysis for Studies of Advanced Illness and Palliative Care.

Incidence of adverse outcome events rises as patients with advanced illness approach end-of-life. Exposures that tend to occur near end-of-life, for example, use of wheelchair, oxygen therapy and palliative care, may therefore be found associated with the incidence of the adverse outcomes. We propose a concept of reverse time-to-death (rTTD) and its use for the time-scale in time-to-event analysis based on partial likelihood to mitigate the time-varying confounding.

Inverse association of oxidative balance score with depression and specific depressive symptoms among cancer population: Insights from the NHANES (2005-2020).

Background: The rising prevalence of depression among cancer patients is alarming. This study examines the relationship between the Oxidative Balance Score (OBS)-a composite measure of dietary and lifestyle factors-and depression, including specific depressive symptoms in this population.

Methods: Data were analyzed from 3,280 adult cancer patients collected in NHANES from 2005-2020.

In Silico Evaluation of Algorithm-Based Clinical Decision Support Systems: Protocol for a Scoping Review.

Background: Integrating algorithm-based clinical decision support (CDS) systems poses significant challenges in evaluating their actual clinical value. Such CDS systems are traditionally assessed via controlled but resource-intensive clinical trials.

Objective: This paper presents a review protocol for preimplementation in silico evaluation methods to enable broadened impact analysis under simulated environments before clinical trials.