Trial of alginates in throat symptoms: protocol for a pragmatic, multicentre, placebo controlled, double blind, parallel, randomised controlled trial of liquid alginate (Gaviscon Advance) for the treatment of persistent throat symptoms.

Introduction: Persistent throat symptoms (PTS) are indicators for over 60 000 new patient referrals to NHS secondary care annually. PTS have been attributed to manifestation of gastro-oesophageal reflux disease (GORD) with the hypothesis that gastric refluxate damages and irritates the mucosa of the upper aerodigestive tract. Symptoms of PTS and GORD are commonly treated with proton pump inhibitors (PPIs) or alginates are often, incorrectly, advocated.

Study of How Adiposity in Pregnancy has an Effect on outcomeS (SHAPES): protocol for a prospective cohort study.

Introduction: Maternal obesity increases the risk of multiple maternal and infant pregnancy complications, such as gestational diabetes and pre-eclampsia. Current UK guidelines use body mass index (BMI) to identify which women require additional care due to increased risk of complications. However, BMI may not accurately predict which women will develop complications during pregnancy as it does not determine amount and distribution of adipose tissue.

Stratification Of LIver Disease (SOLID): protocol for a prospective observational cohort study to determine the optimum biomarker strategies for the detection of advanced liver disease at the primary-secondary care interface.

Introduction: Undiagnosed fatty liver disease is prevalent in the community, due to high rates of harmful alcohol consumption and/or obesity. Fatty liver disease can progress to cirrhosis and its complications. Early identification of liver disease and treatment may prevent progression to cirrhosis.

Safety and efficacy of an artificial intelligence-enabled decision tool for treatment decisions in neovascular age-related macular degeneration and an exploration of clinical pathway integration and implementation: protocol for a multi-methods validation study.

Introduction: Neovascular age-related macular degeneration (nAMD) management is one of the largest single-disease contributors to hospital outpatient appointments. Partial automation of nAMD treatment decisions could reduce demands on clinician time. Established artificial intelligence (AI)-enabled retinal imaging analysis tools, could be applied to this use-case, but are not yet validated for it.