Guidance for delivering surgical procedures outside operating theatres: scoping review.

Background: This review aimed to examine in-depth the extent and content of guidance related to the delivery of surgical procedures outside of the operating theatre.

Methods: Documents concerning the delivery of surgical procedures in non-operating theatre settings were eligible for inclusion. Guidance documents were identified from three sources: electronic databases (MEDLINE and Embase), professional organization websites and expert knowledge.

Reporting and Methodological Quality of Systematic Reviews Underpinning Clinical Practice Guidelines for Vascular Surgery: A Systematic Review.

Objective: Clinical practice guideline recommendations are often informed by systematic reviews. This review aimed to appraise the reporting and methodological quality of systematic reviews informing clinical practice recommendations relevant to vascular surgery.

Data Sources: MEDLINE and Embase.

Decision analytical modelling of strategies for investigating suspected acute aortic syndrome.

Background: Acute aortic syndrome (AAS) requires urgent diagnosis with computed tomographic angiography (CTA). Diagnostic strategies need to weigh the benefits of detecting AAS against the costs of using CTA with a low yield of AAS when the prevalence of AAS is low. We aimed to estimate the cost-effectiveness of diagnostic strategies using clinical probability scoring and D-dimer to select patients with potential symptoms of AAS for CTA.

An Approach for Combining Clinical Judgment with Machine Learning to Inform Medical Decision Making: Analysis of Nonemergency Surgery Strategies for Acute Appendicitis in Patients with Multiple Long-Term Conditions.

Background: Machine learning (ML) methods can identify complex patterns of treatment effect heterogeneity. However, before ML can help to personalize decision making, transparent approaches must be developed that draw on clinical judgment. We develop an approach that combines clinical judgment with ML to generate appropriate comparative effectiveness evidence for informing decision making.