Cancer cachexia is a multi-factorial syndrome, which negatively affects quality of life,
responsiveness to chemotherapy, and survival in advanced cancer patients. Our …

Background Clinicians are inaccurate at predicting survival. The 'Surprise Question'(SQ) is a
screening tool that aims to identify people nearing the end of life. Potentially, its routine use …

Background Access to palliative care is a key quality metric which most healthcare
organizations strive to improve. The primary challenges to increasing palliative care access …

Importance Serious illness conversations (SICs) are structured conversations between
clinicians and patients about prognosis, treatment goals, and end-of-life preferences …

The objective of this review is to provide an update on prognostication in patients with
advanced cancer and to discuss future directions for research in this field. Accurate …

Importance Machine learning (ML) algorithms can identify patients with cancer at risk of
short-term mortality to inform treatment and advance care planning. However, no ML …

The recent development of imaging and sequencing technologies enables systematic
advances in the clinical study of lung cancer. Meanwhile, the human mind is limited in …

Machine learning is proving invaluable across disciplines. However, its success is often
limited by the quality and quantity of available data, while its adoption is limited by the level …

Purpose The Palliative Prognostic (PaP) score; Palliative Prognostic Index (PPI); Feliu
Prognostic Nomogram (FPN) and Palliative Performance Scale (PPS) have all been …

Background: The efficacy of virtual reality for people living with a terminal illness is unclear.
Aim: To determine the feasibility and effectiveness of virtual reality use within a palliative …