Monitoring real-time junior doctor sentiment from comments on a public social media platform: a retrospective observational study.

Objectives: To investigate whether sentiment analysis and topic modelling can be used to monitor the sentiment and opinions of junior doctors.

Design: Retrospective observational study based on comments on a social media website.

Setting: Every publicly available comment in r/JuniorDoctorsUK on Reddit from 1 January 2018 to 31 December 2021.

Evaluating the impact of the metastatic spinal cord compression coordinator in a regional cancer network: a prospective, non-randomized pilot study.

Background: Extradural metastatic spinal cord compression (MSCC) is a debilitating and potentially irreversible complication of cancer. Delay in treatment could lead to irreversible neurological damage, adverse quality of life and a burden on health care resources. Lack of effective communication between teams has been identified as one of the reasons for delay in treatment.

Should RECOVERY have used response adaptive randomisation? Evidence from a simulation study.

Background: The Randomised Evaluation of COVID-19 Therapy (RECOVERY) trial is aimed at addressing the urgent need to find effective treatments for patients hospitalised with suspected or confirmed COVID-19. The trial has had many successes, including discovering that dexamethasone is effective at reducing COVID-19 mortality, the first treatment to reach this milestone in a randomised controlled trial. Despite this, it continues to use standard or 'fixed' randomisation to allocate patients to treatments.

A novel algorithmic approach to generate consensus treatment guidelines in adult acute myeloid leukaemia.

Induction therapy for acute myeloid leukaemia (AML) has changed with the approval of a number of new agents. Clinical guidelines can struggle to keep pace with an evolving treatment and evidence landscape and therefore identifying the most appropriate front-line treatment is challenging for clinicians. Here, we combined drug eligibility criteria and genetic risk stratification into a digital format, allowing the full range of possible treatment eligibility scenarios to be defined.