Ensuring accuracy in the development and application of nucleic acid amplification tests (NAATs) for infectious disease.

Diagnostic tests were heralded as crucial during the Coronavirus disease (COVID-19) pandemic with most of the key methods using bioanalytical approaches that detected larger molecules (RNA, protein antigens or antibodies) rather than conventional clinical biochemical techniques. Nucleic Acid Amplification Tests (NAATs), like the Polymerase Chain Reaction (PCR), and other molecular methods, like sequencing (that often work in combination with NAATs), were essential to the diagnosis and management during COVID-19. This was exemplified both early in the pandemic but also later on, following the emergence of new genetic SARS-CoV-2 variants.

Development and validation of multivariable machine learning algorithms to predict risk of cancer in symptomatic patients referred urgently from primary care: a diagnostic accuracy study.

Objectives: To develop and validate tests to assess the risk of any cancer for patients referred to the NHS Urgent Suspected Cancer (2-week wait, 2WW) clinical pathways.

Setting: Primary and secondary care, one participating regional centre.

Participants: Retrospective analysis of data from 371 799 consecutive 2WW referrals in the Leeds region from 2011 to 2019.

Acceptability and experience of a personalised proteomic risk intervention for type 2 diabetes in primary care: qualitative interview study with patients and healthcare providers.

Aim: We explored the acceptability of a personalised proteomic risk intervention for patients at increased risk of type 2 diabetes and their healthcare providers, as well as their experience of participating in the delivery of proteomic-based risk feedback in UK primary care.

Background: Advances in proteomics now allow the provision of personalised proteomic risk reports, with the intention of achieving positive behaviour change. This technology has the potential to encourage behaviour change in people at risk of developing type 2 diabetes.

Improving Educators' Knowledge, Confidence, and Usefulness of a Comprehensive, Integrated, Three-tiered (Ci3T) Model of Prevention: Outcomes of Professional Learning.

We examined shifts in educators' perceived knowledge, confidence, and usefulness and actual knowledge of concepts in the Comprehensive, Integrated, Three-tiered (Ci3T) model of prevention before and after participation in a practice-based professional learning series to design, implement, and evaluate a Ci3T model for their school. Participants completed the Knowledge, Confidence, and Use (KCU) survey prior to and at the conclusion of the year-long, six-part Ci3T Professional Learning Series. Results indicated participants demonstrated statistically significant increases in perceived and actual knowledge, perceived confidence, and perceived usefulness of concepts measured, with effect sizes suggesting large effects.

Modelling of hypothetical SARS-CoV-2 point of care tests for routine testing in residential care homes: rapid cost-effectiveness analysis.

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the virus that causes coronavirus disease 2019 (COVID-19), which at the time of writing (January 2021) was responsible for more than 2.25 million deaths worldwide and over 100,000 deaths in the UK. SARS-CoV-2 appears to be highly transmissible and could rapidly spread in residential care homes.