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Background: Non-Hodgkin lymphoma (NHL) is the seventh most common cancer among Asian, Native Hawaiian and Pacific Islanders (ANHPIs), yet the risk of death in specific ANHPI subgroups in the US is unknown.

Methods: We used Surveillance, Epidemiology, and End Results data to investigate relative survival and the risk of death among NHL patients in ANHPI subgroups. Cox proportional hazards models were used to estimate hazard ratios and 95% confidence intervals (CI), comparing ANHPI subgroups to non-Hispanic White (NHW) NHL patients for all-cause death and NHL-specific death.

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Predicting health-related outcomes can help with proactive healthcare planning and resource management. This is especially important on the older population, an age group growing in the coming decades. Considering longitudinal rather than cross-sectional information from primary care electronic health records (EHRs) can contribute to more informed predictions.

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Background: Hypoxia-inducible factor 1 alpha (HIF-1α) and its related vascular endothelial growth factor (VEGF) may play a significant role in atherosclerosis and their targeting is a strategic approach that may affect multiple pathways influencing disease progression. This study aimed to perform a systematic review to reveal current evidence on the role of HIF-1α and VEGF immunophenotypes with other prognostic markers as potential biomarkers of atherosclerosis prognosis and treatment efficacy.

Methods: We performed a systematic review of the current literature to explore the role of HIF-1α and VEGF protein expression along with the relation to the prognosis and therapeutic strategies of atherosclerosis.

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How Outcome Prediction Could Aid Clinical Practice.

Br J Hosp Med (Lond)

January 2025

Department of Surgery & Cancer, Imperial College London, London, UK.

Predictive algorithms have myriad potential clinical decision-making implications from prognostic counselling to improving clinical trial efficiency. Large observational (or "real world") cohorts are a common data source for the development and evaluation of such tools. There is significant optimism regarding the benefits and use cases for risk-based care, but there is a notable disparity between the volume of clinical prediction models published and implementation into healthcare systems that drive and realise patient benefit.

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The intratumoral microbiome plays a significant role in many cancers, such as lung, pancreatic, and colorectal cancer. Pancreatic cancer (PC) is one of the most lethal malignancies and is often diagnosed at advanced stages. , an anaerobic Gram-negative bacterium primarily residing in the oral cavity, has garnered significant attention for its emerging role in several extra-oral human diseases and, lately, in pancreatic cancer progression and prognosis.

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