Systematic Review of Patient-Reported Outcome Measures in Locally Recurrent Rectal Cancer.

BACKGROUND: The availability of high-quality patient-reported outcome (PRO) data is crucial to guiding shared decision-making in the context of locally recurrent rectal cancer (LRRC), where potential treatment benefits must be balanced against the impact of both the disease and treatment on PROs, such as quality of life. This review aimed to identify the patient-reported outcome measures (PROMs) currently being reported in LRRC and to appraise the methodological quality of studies using these measures. METHODS: PubMed, Embase and CINAHL databases were searched, including studies published up until 14th September 2022. Studies in adults with LRRC reporting PROMS as a primary or secondary outcome measure were included. Data were extracted concerning the methodological quality of the reporting of PROMs using criteria informed by the CONSORT-PRO checklist and the psychometric properties of the PROMs identified using the COSMIN Risk of Bias checklist. RESULTS: Thirty-five studies including 1914 patients with LRRC were identified. None of the studies included in the review met all eleven criteria for the quality of reporting of PROMs. Seventeen PROMs and two clinician-reported outcome measures were identified, none of which have been validated for use in patients with LRRC. CONCLUSIONS: None of the PROMs which are currently being used to report PROs in LRRC have been validated for use in this cohort of patients. Future studies in this disease area should focus on utilising PROMs that have undergone a robust development process including patients with LRRC, to produce data which is high quality, accurate and relevant.

The current status of robotic colorectal surgery training programmes.

Robotic-assisted colorectal surgery (RACS) is steadily increasing in popularity with an annual growth in the number of colorectal procedures undertaken robotically. Further upscaling of RACS requires structured and standardised robotic training to safeguard high-quality clinical outcomes. The aims of this systematic review were to assess the structure and assessment metrics of currently established RACS training programmes. A systematic review following Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines was performed. Searches were performed of the Ovid Medline, Embase and Web of Science databases between 2000 and 27th November 2021 to identify studies reporting on training curricula in RACS. Core components of training programmes and their relevant outcome assessment metrics were extracted. Thirteen studies were identified, with all training programmes designed for the da Vinci platform (Intuitive Surgical, Inc., Sunnyvale, CA, USA). Common elements of multimodal programmes included theoretical knowledge (76.9%), case observation (53.8%), simulation (100%) and proctored training (76.9%). Robotic skills acquisition was assessed primarily during the simulation phase (n = 4, 30.1%) and proctoring phase (n = 10, 76.9%). Performance metrics, consisting of time or assessment scores for VR simulation were only mandated in four (30.1%) studies. Objective assessment following proctored training was variably reported and employed a range of assessment metrics, including direct feedback (n = 3, 23.1%) or video feedback (n = 8, 61.5%). Five (38.4%) training programmes used the Global Assessment Score (GAS) forms. There is a broad consensus on the core multimodal components across current RACS training programmes; however, validated objective assessment is limited and needs to be appropriately standardised to ensure reproducible progression criteria and competency-based metrics are produced to robustly assess progression and competence.