Inequity in end-of-life care for patients with chronic liver disease in England.

Background And Aims: The World Health Assembly recommends integration of palliative care into treatment of patients with any life-limiting condition, yet patients with non-malignant disease are less likely to receive specialist palliative care (SPC). This study compares SPC offered to patients with hepatocellular carcinoma (HCC) versus patients with chronic liver disease without HCC (CLD without HCC).

Methods: Patients who died from CLD or HCC over 5 years (2013-2017) in England were identified using a dataset linking national data on all hospital admissions (Hospital Episode Statistics - HES) with national mortality data from the Office for National Statistics (HES - ONS).

Symptom control in advanced chronic liver disease: integrating anticipatory palliative and supportive care.

The number of patients coming to hospital with liver disease is increasing. There was a worrying trend before the pandemic, and this has intensified. Despite improvements in the management of patients with advanced cirrhosis many patients will die within 6-12 months of first presentation, and, despite this, the field of palliative and supportive care in liver disease is still in its infancy.

Palliative care in liver disease: what does good look like?

The mortality rate from chronic liver disease in the UK is rising rapidly, and patients with advanced disease have a symptom burden comparable to or higher than that experienced in other life-limiting illnesses. While evidence is limited, there is growing recognition that care of patients with advanced disease needs to improve. Many factors limit widespread provision of good palliative care to these patients, including the unpredictable trajectory of chronic liver disease, the misconception that palliative care and end-of-life care are synonymous, lack of confidence in prescribing and lack of time and resources.

GEN3VA: aggregation and analysis of gene expression signatures from related studies.

Background: Genome-wide gene expression profiling of mammalian cells is becoming a staple of many published biomedical and biological research studies. Such data is deposited into data repositories such as the Gene Expression Omnibus (GEO) for potential reuse. However, these repositories currently do not provide simple interfaces to systematically analyze collections of related studies.

Extraction and analysis of signatures from the Gene Expression Omnibus by the crowd.

Gene expression data are accumulating exponentially in public repositories. Reanalysis and integration of themed collections from these studies may provide new insights, but requires further human curation. Here we report a crowdsourcing project to annotate and reanalyse a large number of gene expression profiles from Gene Expression Omnibus (GEO).