Prevention and Management of Posterior Wound Complications Following Oncologic Spine Surgery: Narrative Review of Available Evidence and Proposed Clinical Decision-Making Algorithm.

Study Design: Narrative Review.

Objective: Contextualized by a narrative review of recent literature, we propose a wound complication prevention and management algorithm for spinal oncology patients. We highlight available strategies and motivate future research to identify optimal and individualized wound management for this population.

Trend of Representation of Women in Gastroenterology, Hepatology, and Endoscopy Conferences in Asia.

Objectives: Despite progress in promoting gender equality, gender bias remains a significant obstacle for women and hinders their academic advancement. We aim to survey and critically analyze women's representation in conferences and changes over time in various regions of Asian countries.

Methods: An international survey was conducted with representatives from East Asia (Hong Kong, China, and Japan), South Asia (India and Pakistan), and Southeast Asia (Vietnam and Thailand).

Drivers of stunting and wasting across serial cross-sectional household surveys of children under 2 years of age in Pakistan: potential contribution of ecological factors.

Background: The impact of direct and indirect drivers on linear growth and wasting in young children is of public health interest. While the contributions of poverty, maternal education, empowerment and birth weight to early childhood growth are well recognized, the contribution of environmental factors like heat, precipitation, agriculture outputs and food security in comparable datasets is less well established.

Objectives: To investigate the association of length-for-age z-score (LAZ) and weight-for-length z-score (WLZ) with various indicators among children under 2 years of age in Pakistan using representative household level nutrition surveys and ecological datasets.

Novel Copy Number Deletion Involving Associated With Epilepsy, Tremor, and Intellectual Disability.

Copy number variations (CNVs) contribute to various disorders including intellectual disability, developmental disorders, and cancer. This study identifies a de novo 2.62 Mb deletion at 6q22.

Multi-site, multi-vendor development and validation of a deep learning model for liver stiffness prediction using abdominal biparametric MRI.

Background: Chronic liver disease (CLD) is a substantial cause of morbidity and mortality worldwide. Liver stiffness, as measured by MR elastography (MRE), is well-accepted as a surrogate marker of liver fibrosis.

Purpose: To develop and validate deep learning (DL) models for predicting MRE-derived liver stiffness using routine clinical non-contrast abdominal T1-weighted (T1w) and T2-weighted (T2w) data from multiple institutions/system manufacturers in pediatric and adult patients.