Publications by authors named "C N Gamble"
Background/aims: When conducting a randomised controlled trial in surgery, it is important to consider surgical learning, where surgeons' familiarity with one, or both, of the interventions increases during the trial. If present, learning may compromise trial validity. We demonstrate a statistical investigation into surgical learning within a trial of cleft palate repair.
View Article and Find Full Text PDFPurpose To apply conformal prediction to a deep learning (DL) model for intracranial hemorrhage (ICH) detection and evaluate model performance in detection as well as model accuracy in identifying challenging cases. Materials and Methods This was a retrospective (November 2017 through December 2017) study of 491 noncontrast head CT volumes from the CQ500 dataset in which three senior radiologists annotated sections containing ICH. The dataset was split into definite and challenging (uncertain) subsets, where challenging images were defined as those in which there was disagreement among readers.
View Article and Find Full Text PDFArticle Synopsis
- Clinical trials, essential for healthcare, also significantly contribute to climate change; researchers have developed a method to calculate their carbon footprint and applied it to 10 UK and international trials.
- Data on trial activities was collected from 10 trial units, evaluated for emission sources, and feedback was gathered on the carbon footprint calculation process.
- The carbon footprints of the trials varied widely, highlighting key areas for emissions reduction, with suggestions to incorporate carbon footprint considerations during the trial design phase.
Clinical research in intensive care units (ICUs) is essential for improving treatments for critically ill patients. However, invitations to participate in clinical research in this situation pose numerous challenges. Studies are frequently initiated within a narrow time window when patients are often unconscious and unable to consent.
View Article and Find Full Text PDFObjective: To quantify the effect of neighborhood socioeconomic vulnerability as it relates to racial disparity in uterine cancer treatment and survival.
Methods: Patients with a diagnosis of uterine cancer who underwent hysterectomy in New York State from 2004 to 2017 were included in this retrospective cohort study. Neighborhood socioeconomic vulnerability as quantified by the Area Deprivation Index was calculated.