Publications by authors named "Arshia P Javidan"

We assessed 2 versions of the large language model (LLM) ChatGPT-versions 3.5 and 4.0-in generating appropriate, consistent, and readable recommendations on core critical care topics.

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Background: Adverse events during surgery can occur in part due to errors in visual perception and judgment. Deep learning is a branch of artificial intelligence (AI) that has shown promise in providing real-time intraoperative guidance. This study aims to train and test the performance of a deep learning model that can identify inappropriate landing zones during endovascular aneurysm repair (EVAR).

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Background: Surveys are being increasingly used to gather feedback and study data in healthcare professions. However, it may be challenging to achieve high response rates in surveys administered to healthcare professionals. The aim of this paper is to report six strategies that contributed to a high response rate on the Independent Student Analysis at the University of Toronto (U of T), which can be applied to other surveys to achieve strong response rates amongst healthcare professionals.

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Objective: Patient handover between paramedics and the trauma team is vulnerable to communication errors that may adversely affect patient care. This study assesses the feasibility of a handover tool, IMIST-AMBO (acronym of categories), implementation in the trauma bay and evaluates the degree to which it improves handover metrics.

Methods: This is a prospective observational cohort study conducted at Canada's largest level-one trauma center.

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Objective: The reverse fragility index (RFI) describes the number of event conversions needed to convert a statistically nonsignificant dichotomous outcome to a significant one. The objective of the present study was to assess the RFI of vascular surgery randomized controlled trials (RCTs) comparing endovascular vs open surgery for the treatment of abdominal aortic aneurysms (AAAs), carotid artery stenosis (CAS), and peripheral artery disease (PAD).

Methods: MEDLINE and Embase were searched for RCTs that had investigated AAAs, CAS, or PAD with statistically nonsignificant binary primary outcomes.

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Background: Artificial intelligence (AI) and machine learning (ML) have seen increasingly intimate integration with medicine and healthcare in the last 2 decades. The objective of this study was to summarize all current applications of AI and ML in the vascular surgery literature and to conduct a bibliometric analysis of published studies.

Methods: A comprehensive literature search was conducted through Embase, MEDLINE, and Ovid HealthStar from inception until February 19, 2021.

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Objectives: During the COVID-19 pandemic wearing a mask in public has been recommended in some settings and mandated in others. How often this advice is followed, how well, and whether it inadvertently leads to more disease transmission opportunities due to a combination of improper use and physical distancing lapses is unknown.

Design: Cross-sectional observational study performed in June-August 2020.

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Background: Knowledge translation and dissemination are some of the main challenges that affect evidence-based medicine. Web 2.0 platforms promote the sharing and collaborative development of content.

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Objectives: Mass Casualty Incidents (MCIs) are rare but devastating events that require extensive planning in order to minimize morbidity and mortality. There are two broad categories limiting a hospital's response: physical assets (e.g.

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Objective: To develop comprehensive guidance that captures international impacts, causes, and solutions related to emergency department crowding and access block.

Methods: Emergency physicians representing 15 countries from all IFEM regions composed the Task Force. Monthly meetings were held via video-conferencing software to achieve consensus for report content.

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Objective: To develop comprehensive guidance that captures international impacts, causes and solutions related to emergency department (ED) crowding and access block.

Methods: Emergency physicians representing 15 countries from all International Federation of Emergency Medicine (IFEM) regions composed the Task Force. Monthly meetings were held via video-conferencing software to achieve consensus for report content.

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Objective: To develop comprehensive guidance that captures international impacts, causes, and solutions related to ED crowding and access block.

Methods: Emergency physicians representing 15 countries from all the International Federation for Emergency Medicine (IFEM) regions composed the task force. Monthly meetings were held via video-conferencing software to achieve consensus for report content.

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Objectives: There has been limited evaluation of handover from emergency medical services (EMS) to the trauma team. We sought to characterize these handover practices to identify areas of improvement and determine if handover standardization might be beneficial for trauma team performance.

Methods: Data were prospectively collected over a nine-week period by a trained observer at a Canadian level one trauma centre.

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Medical schools provide the foundation for a physician's growth and lifelong learning. They also require a large share of government resources. As such, they should seek opportunities to maintain trust from the public, their students, faculty, universities, regulatory colleges, and each other.

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The COVID-19 pandemic has produced significant changes in emergency medicine patient volumes, clinical practice, and has accelerated a number of systems-level developments. Many of these changes produced efficiencies in emergency care systems and contributed to a reduction in crowding and access block. In this paper, we explore these changes, analyse their risks and benefits and examine their sustainability for the future to the extent that they may combat crowding.

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Systematic reviews (SRs) have been reported with increasing frequency as a means of collating studies which may have been performed over different period of times, in different geographical areas and by different groups of investigators. As SRs have become more common, quality metrics such as Assessing the Methodological Quality of Systematic Reviews (AMSTAR) have become available for these reviews. AMSTAR is an 11-point checklist that assesses the methodological and reporting quality of a SR.

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Background: With increasing healthcare costs and the emergence of new technologies in vascular surgery, economic evaluations play a critical role in informing decision-making that optimizes patient outcomes while minimizing per capita costs. The objective of this systematic review is to describe all English published economic evaluations in vascular surgery and to identify any significant gaps in the literature.

Methods: We conducted a comprehensive English literature review of EMBASE, MEDLINE, The Cochrane Library, Ovid Health Star, and Business Source Complete from inception until December 1, 2018.

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Objective: To appraise the quality of reporting on guideline, protocol, and algorithm implementations in adult trauma settings according to the Revised Standards for Quality Improvement Reporting Excellence (SQUIRE 2.0).

Background: At present we do not know if published reports of guideline implementations in trauma settings are of sufficient quality to facilitate replication by other centers wishing to implement the same or similar guidelines.

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Objective: The Society for Vascular Surgery's Annual Meeting acts as a means of disseminating research findings among vascular surgeons through the presentation of research abstracts. Following presentation at the meeting, research is often compiled into a full-text manuscript and submitted to a peer-reviewed journal. However, not all abstracts accepted to the Vascular Annual Meeting (VAM) eventually have a corresponding full-text publication.

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Objective: During the past decades, there has been an increasing emphasis on the use of high-quality evidence to inform clinical decision-making. The purpose of our study was to assess trends in the level of evidence (LOE) of abstracts presented at the Vascular Annual Meeting from 2012 to 2016.

Methods: All Vascular Annual Meeting abstracts for 2012 to 2016 were obtained through the Journal of Vascular Surgery.

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