This is a repository copy of Effect of robot-assisted radical cystectomy with intracorporeal urinary diversion vs open radical cystectomy on 90-day morbidity and mortality among patients with bladder cancer : a randomized clinical trial.
Background The COVID-19 pandemic has posed daunting challenges when conducting clinical research. Adopting new technologies such as remote electronic consent (e-Consent) can help overcome them. However, guidelines for e-Consent implementation in ongoing clinical trials are currently lacking. The NeuroSAFE PROOF trial is a randomized clinical trial evaluating the role of frozen section analysis during RARP for prostate cancer. In response to the COVID-19 crisis, recruitment was halted, and a remote e-Consent solution was designed. The aim of this paper is to describe the process of implementation, impact on recruitment rate, and patients’ experience using e-Consent. Methods A substantial amendment of the protocol granted the creation of a remote e-Consent framework based on the REDCap environment, following the structure and content of the already approved paper consent form. Although e-Consent obviated the need for in-person meeting, there was nonetheless counselling sessions performed interactively online. This new pathway offered continuous support to patients through remote consultations. The whole process was judged to be compliant with regulatory requirements before implementation. Results Before the first recruitment suspension, NeuroSAFE PROOF was recruiting an average of 9 patients per month. After e-Consent implementation, 63 new patients (4/month) have been enrolled despite a second lockdown, none of whom would have been recruited using the old methods given restrictions on face-to-face consultations. Patients have given positive feedback on the use of the platform. Limited troubleshooting has been required after implementation. Conclusion Remote e-Consent-based recruitment was critical for the continuation of the NeuroSAFE PROOF trial during the COVID-19 pandemic. The described pathway complies with ethical and regulatory guidelines for informed consent, while minimizing face-to-face interactions that increase the risk of COVID-19 transmission. This guide will help researchers integrate e-Consent to ongoing or planned clinical trials while uncertainty about the course of the pandemic continues. Trial registration NeuroSAFE PROOF trial NCT03317990. Registered on 23 October 2017. Regional Ethics Committee reference 17/LO/1978.
Background Treatment decisions in prostate cancer (PCa) rely on disease stratification between localised and metastatic stages, but current imaging staging technologies are not sensitive to micro-metastatic disease. Circulating tumour cells (CTCs) status is a promising tool in this regard. The Parsortix® CTC isolation system employs an epitope-independent approach based on cell size and deformability to increase the capture rate of CTCs. Here, we present a protocol for prospective evaluation of this method to predict post radical prostatectomy (RP) PCa cancer recurrence. Methods We plan to recruit 294 patients diagnosed with unfavourable intermediate, to high and very high-risk localised PCa. Exclusion criteria include synchronous cancer diagnosis or prior PCa treatment, including hormone therapy. RP is performed according to the standard of care. Two blood samples (20 ml) are collected before and again 3-months after RP. The clinical team are blinded to CTC results and the laboratory researchers are blinded to clinical information. Treatment failure is defined as a PSA ≥ 0.2 mg/ml, start of salvage treatment or imaging-proven metastatic lesions. The CTC analysis entails enumeration and RNA analysis of gene expression in captured CTCs. The primary outcome is the accuracy of CTC status to predict post-RP treatment failure at 4.5 years. Observed sensitivity, positive and negative predictive values will be reported. Specificity will be presented over time. Discussion CTC status may reflect the true potential for PCa metastasis and may predict clinical outcomes better than the current PCa progression risk grading systems. Therefore establishing a robust biomarker for predicting treatment failure in localized high-risk PCa would significantly enhance guidance in treatment decision-making, optimizing cure rates while minimizing unnecessary harm from overtreatment. Trial registration ISRCTN17332543.
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