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Naturopathic practitioners consult an estimated 6.2% of Australian adults, equating to 1,550,000 people receiving their care each year. Sleep is now recognized as a key pillar of health; however, nearly half of all Australian adults report inadequate sleep.

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Purpose: This study developed and validated a novel deep learning radiomic biomarker to estimate response to immune checkpoint inhibitor (ICI) therapy in advanced non-small cell lung cancer (NSCLC) using real-world data (RWD) and clinical trial data.

Materials And Methods: Retrospective RWD of 1,829 patients with advanced NSCLC treated with PD-(L)1 ICIs were collected from 10 academic and community institutions in the United States and Europe. The RWD included data sets for discovery (Data Set A-Discovery, n = 1,173) and independent test (Data Set B, n = 458).

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Automated Electronic Health Record Data Extraction and Curation Using ExtractEHR.

JCO Clin Cancer Inform

November 2024

Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA.

Article Synopsis
  • - The study highlights the limited impact of electronic health record (EHR) data on pediatric oncology research due to fewer pediatric cancer cases and challenges in identifying phenotypic cases within EHR data.
  • - ExtractEHR, a software package originally designed for reporting clinical trial adverse events, has been expanded to create comprehensive multisite EHR data sets for pediatric cancer research, enabling automated data extraction across hospitals.
  • - Installations of ExtractEHR have occurred at four major pediatric institutions, and it has been used for various research activities, including clinical epidemiology studies and multicenter trials, with ongoing efforts to enhance its capabilities for sustainability and interoperability.
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A Core Measures Set (CMS) is an agreed standardized group of measures that should be assessed and reported in research for a specific condition or clinical area. This study undertook the development of a CMS for Patient Safety through a two-round, web-based Delphi consensus approach, in the context of the "Improving quality and patient SAFEty in surgical care through STandardisation and harmonization of perioperative care in Europe" (SAFEST) project-a collaborative, patient-centered and evidence-based European Union-funded project that aims to generate action-oriented evidence in perioperative care. We developed an Initial List of Measures via an umbrella review following the deployment of an e-Delphi method with an inclusive panel of experts to prioritize measures towards a consensualized Final List of Measures.

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Background: Pilot data suggest that off-label, unmonitored antiepileptic drug prescribing for behavioral and psychological symptoms of dementia is increasing, replacing other psychotropic medications targeted by purposeful reduction efforts. This trend accelerated during the COVID-19 pandemic. Although adverse outcomes related to this trend remain unknown, preliminary results hint that harms may be increasing and concentrated in vulnerable populations.

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