Validation of clinical frailty scale in Chinese translation.

BACKGROUND: Identification of frailty is crucial to guide patient care for the elderly. The Clinical Frailty Scale (CFS) is a reliable, synthesis and clinical judgment-based tool. However, a validated Chinese version of CFS (CFS-C) is lacking. The aim of this study is to describe the translation process of CFS into traditional Chinese and to evaluate its reliability and validity in a geriatric study population in Taiwan. METHODS: This cross-sectional study recruited 221 geriatric outpatients aged 65 years or older at a medical center in Taipei, Taiwan. The Chinese version of CFS was produced following Brislin's translation model. Weighted kappa for agreement and Kendall's tau for correlation were used to assess inter-rater reliability (a subgroup of 52 outpatients) between geriatricians and one research assistant, and validity tests (221 outpatients) by comparing CFS-C with Fried frailty phenotype and Frailty Index based on Comprehensive Geriatric Assessment (FI-CGA). Correlation between CFS-C and other geriatric conditions were also assessed. RESULTS: The inter-rater reliability revealed moderate agreement (weighted kappa = 0.60) and strong correlation (Kendall's tau = 0.67). For criterion validity, CFS-C categorisation showed fair agreement (weighted kappa = 0.37) and significant correlation (Kendall's tau = 0.46) with Fried frailty phenotype, and higher agreement (weighted kappa = 0.51) and correlation (Kendall's tau = 0.63) with FI-CGA categorisation. CFS-C was significantly correlated with various geriatric assessments, including functional disability, physical performance, hand grip, comorbidity, cognition, depression, and nutrition status. No significant correlation was found between CFS-C and appendicular muscle mass. CONCLUSIONS: The CFS-C demonstrated acceptable validity and reliability in Chinese older adults in Taiwan. Development of CFS-C enhanced consistency and accuracy of frailty assessment, both in research and clinical practice.

Global Interactomics Uncovers Extensive Organellar Targeting by Zika Virus.

Zika virus (ZIKV) is a membrane enveloped Flavivirus with a positive strand RNA genome, transmitted by Aedes mosquitoes. The geographical range of ZIKV has dramatically expanded in recent decades resulting in increasing numbers of infected individuals, and the spike in ZIKV infections has been linked to significant increases in both Guillain-Barré syndrome and microcephaly. Although a large number of host proteins have been physically and/or functionally linked to other Flaviviruses, very little is known about the virus-host protein interactions established by ZIKV. Here we map host cell protein interaction profiles for each of the ten polypeptides encoded in the ZIKV genome, generating a protein topology network comprising 3033 interactions among 1224 unique human polypeptides. The interactome is enriched in proteins with roles in polypeptide processing and quality control, vesicle trafficking, RNA processing and lipid metabolism. >60% of the network components have been previously implicated in other types of viral infections; the remaining interactors comprise hundreds of new putative ZIKV functional partners. Mining this rich data set, we highlight several examples of how ZIKV may usurp or disrupt the function of host cell organelles, and uncover an important role for peroxisomes in ZIKV infection.

Common mental disorders in Taiwanese consumers of commercial low-dose computed tomography lung cancer screening: Comparison with a nationally representative sample.

BACKGROUND/PURPOSE: We examined the prevalence of probable common mental disorders (CMDs) in commercial low-dose computed tomography (LDCT) lung cancer screening consumers relative to the general population and to determine the correlates of probable CMDs among screening participants. METHODS: Commercial LDCT lung cancer screening consumers (N = 1323) were compared with a nationally representative sample from the Taiwan Social Change Survey (TSCS) (N = 2034). Respondents scoring ≥3 on the Chinese Health Questionnaire were classified as having a probable CMD. Logistic regression was used to investigate differences between the two groups and correlates of probable CMDs among LDCT lung cancer screening participants. RESULTS: The prevalence of probable CMDs was higher among LDCT lung cancer screening participants (25.47%) than among TSCS adults (21.56%). Compared with the TSCS sample, the screening participants had a higher probability of CMDs (OR = 1.40, 95% CI = 1.13-1.73), higher education levels (OR = 7.95, 95% CI = 6.00-10.53), and a history of drinking (OR = 11.85, 95% CI = 9.45-14.85) or betel-quid use (OR = 5.43, 95% CI = 3.98-7.42) but were less likely to smoke (OR = 0.52, 95% CI = 0.40-0.68). Among the screening participants, being female (OR = 1.37, 95% CI = 1.02-1.84) and a current smoker (OR = 1.74, 1.19-2.54) and living near ≥2 smoking family members (OR = 2.30, 95% CI 1.57-3.38) were associated with an increased likelihood of having CMDs. CONCLUSION: Commercial LDCT lung cancer screening users may have a positive association with probable CMDs compared to the general population. Screening programs should consider including criteria and providing psychoeducation to improve the physical and mental outcomes of participants. CLINICAL TRIAL REGISTRATION: Purely observational studies (those in which the assignment of the medical intervention is not at the discretion of the investigator) do not require registration.

Developing retinal biomarkers for the earliest stages of Alzheimer's disease: What we know, what we don't, and how to move forward.

The last decade has seen a substantial increase in research focused on the identification, development, and validation of diagnostic and prognostic retinal biomarkers for Alzheimer's disease (AD). Sensitive retinal biomarkers may be advantageous because they are cost and time efficient, non-invasive, and present a minimal degree of patient risk and a high degree of accessibility. Much of the work in this area thus far has focused on distinguishing between symptomatic AD and/or mild cognitive impairment (MCI) and cognitively normal older adults. Minimal work has been done on the detection of preclinical AD, the earliest stage of AD pathogenesis characterized by the accumulation of cerebral amyloid absent clinical symptoms of MCI or dementia. The following review examines retinal structural changes, proteinopathies, and vascular alterations that have been proposed as potential AD biomarkers, with a focus on studies examining the earliest stages of disease pathogenesis. In addition, we present recommendations for future research to move beyond the discovery phase and toward validation of AD risk biomarkers that could potentially be used as a first step in a multistep screening process for AD risk detection.

Molecular architecture of the yeast Elongator complex reveals an unexpected asymmetric subunit arrangement.

Elongator is a ~850 kDa protein complex involved in multiple processes from transcription to tRNA modification. Conserved from yeast to humans, Elongator is assembled from two copies of six unique subunits (Elp1 to Elp6). Despite the wealth of structural data on the individual subunits, the overall architecture and subunit organization of the full Elongator and the molecular mechanisms of how it exerts its multiple activities remain unclear. Using single-particle electron microscopy (EM), we revealed that yeast Elongator adopts a bilobal architecture and an unexpected asymmetric subunit arrangement resulting from the hexameric Elp456 subassembly anchored to one of the two Elp123 lobes that form the structural scaffold. By integrating the EM data with available subunit crystal structures and restraints generated from cross-linking coupled to mass spectrometry, we constructed a multiscale molecular model that showed the two Elp3, the main catalytic subunit, are located in two distinct environments. This work provides the first structural insights into Elongator and a framework to understand the molecular basis of its multifunctionality.

Quality Improvement Initiatives in Fragility Fracture Care and Prevention.

PURPOSE OF REVIEW: This review sought to describe quality improvement initiatives in fragility fracture care and prevention. RECENT FINDINGS: A major care gap persists throughout the world in the secondary prevention of fragility fractures. Systematic reviews have confirmed that the Fracture Liaison Service (FLS) model of care is associated with significant improvements in rates of bone mineral density testing, initiation of osteoporosis treatment and adherence with treatment for individuals who sustain fragility fractures. Further, these improvements in the processes of care resulted in significant reductions in refracture risk and lower post-fracture mortality. The primary challenge facing health systems now is to ensure that best practice is delivered effectively in the local healthcare setting. Publication of clinical standards for FLS at the organisational and patient level in combination with the establishment of national registries has provided a mechanism for FLS to benchmark and improve their performance. Major efforts are ongoing at the global, regional and national level to improve the acute care, rehabilitation and secondary prevention for individuals who sustain fragility fractures. Active participation in these initiatives has the potential to eliminate current care gaps in the coming decade.

The impact of early comprehensive geriatric screening on the readmission rate in an acute geriatric ward: a quasi-experimental study.

BACKGROUND: Unplanned readmission is an important healthcare quality issue. We studied the effect of a comprehensive geriatric screen (CGS) in the early admission course followed by a comprehensive geriatric assessment on readmission rates in elderly patients. METHODS: This quasi-experimental study with a historical comparison group was conducted in the geriatric ward of a referral centre in northern Taiwan. Older adults (aged > = 65 y/o) admitted from June 2013 to December 2013 were recruited for the geriatric screen group (N = 377). Patients admitted to the same ward from July 2011 to June 2012 were selected for the historical group (N = 380). The CGS was administered within the first 48 h after admission and was followed by a comprehensive geriatric assessment (CGA). Confounding risk factors included age, gender, Charlson comorbidity index, Barthel index score and medical utilization (length of stay and number of admissions), which were controlled using logistic regression models. We also developed a scoring system to identify the group that would potentially benefit the most from the early CGS. RESULTS: The 30-day readmission rate was significantly lower in the early CGS group than in the historical comparison group (11.4% vs 16.9%, p = 0.03). After adjusting for confounding variables, the hazard ratio of the early CGS group was 0.64 (95% CI 0.43-0.95). After scoring the potential benefit to the patients in the early CGS group, the log rank test showed a significant difference (p = 0.001 in the high-potential group and p = 0.98 in the low-potential group). CONCLUSION: An early CGS followed by a CGA may significantly reduce the 30-day readmission rate of elderly patients.

Twelve tips for medical students to conduct a systematic review.

Background: Medical students engaged in research develop general skills that are instrumental to clinical practice. The systematic review, a cornerstone of evidence-based medicine, represents an ideal starting point for student researchers. Aim and methods: To outline twelve tips on conducting a systematic review for medical students with limited research experience. Results: The tips in this article are practical, comprehensive, and informed by the authors experience as medical students. Conclusion: The twelve tips can help medical students contribute to the literature and build a valuable skillset for future research and clinical practice.

Conformational flexibility and subunit arrangement of the modular yeast Spt-Ada-Gcn5 acetyltransferase complex.

The Spt-Ada-Gcn5 acetyltransferase (SAGA) complex is a highly conserved, 19-subunit histone acetyltransferase complex that activates transcription through acetylation and deubiquitination of nucleosomal histones in Saccharomyces cerevisiae. Because SAGA has been shown to display conformational variability, we applied gradient fixation to stabilize purified SAGA and systematically analyzed this flexibility using single-particle EM. Our two- and three-dimensional studies show that SAGA adopts three major conformations, and mutations of specific subunits affect the distribution among these. We also located the four functional modules of SAGA using electron microscopy-based labeling and transcriptional activator binding analyses and show that the acetyltransferase module is localized in the most mobile region of the complex. We further comprehensively mapped the subunit interconnectivity of SAGA using cross-linking mass spectrometry, revealing that the Spt and Taf subunits form the structural core of the complex. These results provide the necessary restraints for us to generate a model of the spatial arrangement of all SAGA subunits. According to this model, the chromatin-binding domains of SAGA are all clustered in one face of the complex that is highly flexible. Our results relate information of overall SAGA structure with detailed subunit level interactions, improving our understanding of its architecture and flexibility.

Survey of awareness and attitudes to the management of fragility fractures among the membership of the Asia Pacific Orthopaedic Association.

A survey of awareness and attitudes to the management of fragility fractures among the membership of the Asia Pacific Orthopaedic Association conducted in 2022 found considerable variation in care across the region. A Call to Action is proposed to improve acute care, rehabilitation and secondary fracture prevention across Asia Pacific. PURPOSE: Fragility fractures impose a substantial burden on older people and their families, healthcare systems and national economies. The current incidence of hip and other fragility fractures across the Asia Pacific region is enormous and set to escalate rapidly in the coming decades. This publication describes findings of a survey of awareness and attitudes to the management of fragility fractures among the membership of the Asia Pacific Orthopaedic Association (APOA) conducted in 2022. METHODS: The survey was developed as a collaboration between the Asia Pacific Osteoporosis and Fragility Fracture Society and the Asia Pacific Fragility Fracture Alliance, and included questions relating to aspects of care upon presentation, during surgery and mobilisation, secondary fracture prevention, and access to specific services. RESULTS: In total, 521 APOA members completed the survey and marked variation in delivery of care was evident. Notable findings included: Fifty-nine percent of respondents indicated that analgesia was routinely initiated in transit (by paramedics) or within 30 minutes of arrival in the Emergency Department. One-quarter of respondents stated that more than 80% of their patients underwent surgery within 48 hours of admission. One-third of respondents considered non-hip, non-vertebral fractures to merit assessment of future fracture risk. One-third of respondents reported the presence of an Orthogeriatric Service in their hospital, and less than a quarter reported the presence of a Fracture Liaison Service. CONCLUSION: A Call to Action for all National Orthopaedic Associations affiliated with APOA is proposed to improve the care of fragility fracture patients across the region.

Outbreak investigation in a COVID-19 designated hospital: The combination of phylogenetic analysis and field epidemiology study suggesting airborne transmission.

BACKGROUND: Healthcare-associated COVID-19 infections caused by SARS-CoV-2 have increased morbidity and mortality. Hospitals and skilled nursing facilities (SNFs) have been challenged by infection control and management. METHODS: This case study presents an outbreak investigation in a COVID-19-designated hospital and a hospital-based SNF. Real-time polymerase chain reaction (PCR) and other studies were performed on samples obtained from SNF residents, hospital patients, and healthcare workers (HCWs). The results of the laboratory tests and field epidemiological data were analyzed. Genome sequencing and phylogenetic analysis of SARS-CoV-2 were performed to identify the associations between cases. The tracer gas was released and recorded by a thermal imaging camera to investigate the spatial relations within clusters. RESULTS: During the outbreak, 29 COVID-19 infections in 3 clusters were identified through hospital-wide, risk-guided, and symptom-driven PCR tests. This included 12 HCWs, 5 patients, and 12 SNF residents who had been hospitalized for at least 14 days. Serology tests did not identify any cases among the PCR-negative individuals. The phylogenetic analysis revealed that viral strains from the 3 clusters shared a common mutation of G3994T and were phylogenetically related, which suggested that this outbreak had a common source rather than multiple introductions from the community. Linked cases exhibited vertical spatial distribution, and the sulfur hexafluoride release test confirmed a potential airborne transmission. CONCLUSIONS: This report addressed the advantage of a multi-disciplinary team in outbreak investigation. Identifying an airborne transmission within an outbreak highlighted the importance of regular maintenance of ventilation systems.

A pilot randomized controlled trial to improve geriatric frailty.

BACKGROUND: Few randomized controlled trials (RCTs) report interventions targeting improvement of frailty status as an outcome. METHODS: This RCT enrolled 117 older adults (65-79 years of age) in Toufen, Taiwan who scored 3-6 on The Chinese Canadian Study of Health and Aging Clinical Frailty Scale Telephone Version and then score ≥1 on the Cardiovascular Health Study Phenotypic Classification of Frailty (CHS_PCF). With a two by two factorial design, subjects were randomly assigned to interventions (Exercise and nutrition, EN, n = 55 or problem solving therapy, PST, n = 57) or controls (non-EN, n = 62 or non-PST, n = 60). Educational booklets were provided to all. EN group subjects received nutrition consultation and a thrice-weekly exercise-training program while PST group subjects received 6 sessions in 3 month. Subjects were followed at 3, 6, and 12 months. Primary outcome was improvement of the CHS_PCF by at least one category (from pre-frail to robust, or from frail to pre-frail or robust) from baseline assessments. One hundred and one completed final assessments. Intention-to-treat analysis with the generalized estimating equation model was applied with adjustment for time and treatment-by-time interactions. RESULTS: Mean age was 71.4 ± 3.7 years, with 59% females. Baseline characteristic were generally comparable between groups. EN group subjects had a higher improvement rate on the primary outcome than non-EN group subjects (45% vs 27%, adjusted p = 0.008) at 3 months, but not 6 or 12 months. They also had more increase of serum 25(OH) vitamin D level (4.9 ± 7.7 vs 1.2 ± 5.4, p = 0.006) and lower percentage of osteopenia (74% vs 89% p = 0.042) at 12 months. PST group subjects had better improvement (2.7 ± 6.1 vs 0.2 ± 6.7, p = 0.035, 6-month) and less deterioration (-3.5 ± 9.7 vs -7.1 ± 8.7, p = 0.036, 12-month) of dominant leg extension power than non-PST subjects. Some secondary outcomes were also improved in control groups (non-EN or non-PST). No adverse effects were reported. CONCLUSIONS: The three-month EN intervention resulted in short-term (3-month) frailty status improvement and long-term effect on bone mineral density and serum vitamin D (12-month) among Taiwanese community-dwelling elders. The effect of PST was less pronounced. TRIAL REGISTRATION: ClinicalTrials.gov: EC0970301

CellDepot: A Unified Repository for scRNA-seq Data and Visual Exploration.

CellDepot containing over 270 datasets from 8 species and many tissues serves as an integrated web application to empower scientists in exploring single-cell RNA-seq (scRNA-seq) datasets and comparing the datasets among various studies through a user-friendly interface with advanced visualization and analytical capabilities. To begin with, it provides an efficient data management system that users can upload single cell datasets and query the database by multiple attributes such as species and cell types. In addition, the graphical multi-logic, multi-condition query builder and convenient filtering tool backed by MySQL database system, allows users to quickly find the datasets of interest and compare the expression of gene(s) across these. Moreover, by embedding the cellxgene VIP tool, CellDepot enables fast exploration of individual dataset in the manner of interactivity and scalability to gain more refined insights such as cell composition, gene expression profiles, and differentially expressed genes among cell types by leveraging more than 20 frequently applied plotting functions and high-level analysis methods in single cell research. In summary, the web portal available at http://celldepot.bxgenomics.com, prompts large scale single cell data sharing, facilitates meta-analysis and visualization, and encourages scientists to contribute to the single-cell community in a tractable and collaborative way. Finally, CellDepot is released as open-source software under MIT license to motivate crowd contribution, broad adoption, and local deployment for private datasets.

The global burden of fragility fractures - what are the differences, and where are the gaps.

The current burden of fragility fractures is enormous, and it is set to increase rapidly in the coming decades as humankind enters a new demographic era. The purpose of this review is to consider, in different settings: • The human and economic toll of fragility fractures. • Risk factors for fragility fractures. • Current acute management of fragility fractures. • Current care gaps in both secondary and primary fracture prevention. A summary of global, regional, and national initiatives to improve the quality of care is provided, in addition to proposals for the research agenda. Systematic approaches to improve the acute care, rehabilitation and prevention of fragility fractures need to be developed and implemented rapidly and at scale in high-, middle- and low-income countries throughout the world. This must be an essential component of our response to the ageing of the global population during the remainder of the current United Nations - World Health Organization "Decade of Healthy Ageing".

OmicsView: Omics data analysis through interactive visual analytics.

With advances in NGS technologies, transcriptional profiling of human tissue across many diseases is becoming more routine, leading to the generation of petabytes of data deposited in public repositories. There is a need for bench scientists with little computational expertise to be able to access and mine this data to understand disease pathology, identify robust biomarkers of disease and the effect of interventions (in vivo or in vitro). To this end we release an open source analytics and visualization platform for expression data called OmicsView, http://omicsview.org. This platform comes preloaded with 1000 s of samples across many disease areas and normal tissue, including the GTEx database, all processed with a harmonized pipeline. We demonstrate the power and ease-of-use of the platform by means of a Crohn's disease data mining exercise where we can quickly uncover disease pathology and identify strong biomarkers of disease and response to treatment.

Potentially inappropriate medications in geriatric outpatients with polypharmacy: application of six sets of published explicit criteria.

AIM: Our aim was to compare the practicability of six different potentially inappropriate medication (PIM) criteria in geriatric outpatients with polypharmacy. METHODS: We analysed baseline data from the Medication Safety Review Clinic in Taiwanese Elders (MSRC-Taiwan) study. The prevalence and correlates of PIMs were determined on the basis of criteria developed in the USA, Canada, France, Norway, Ireland and Thailand. The percentage of PIMs considered as drug-related problems and the problem-solving rate are reported. RESULTS: In the 193 participants, the prevalence of PIM varied from 24 to 73%. Application of the criteria revealed that a high number of chronic medications was a common risk factor for having at least one PIM. Of the 1713 medications reviewed, 5.6-14.8% were considered PIMs. Only 30-40% of the identified PIMs were reported as drug-related problems by the MSRC team experts. Criteria with a higher number of statements and a higher percentage of local market/institution drug availability tended to detect more PIMs. CONCLUSIONS: The prevalence of PIM varied significantly when different criteria were applied. Caution should be exercised in applying PIM criteria developed in other regions when medication availability in the local market is limited.

Deep Learning in Neuroradiology: A Systematic Review of Current Algorithms and Approaches for the New Wave of Imaging Technology.

PURPOSE: To systematically review and synthesize the current literature and to develop a compendium of technical characteristics of existing deep learning applications in neuroradiology. MATERIALS AND METHODS: A Preferred Reporting Items for Systematic Reviews and Meta-Analyses systematic review was conducted through September 1, 2019, using PubMed, Cochrane, and Web of Science databases. A total of 155 articles discussing deep learning applications in neuroimaging were identified, divided by imaging modality, and characterized by imaging task, data source, algorithm type, and outcome metrics. RESULTS: A total of 155 studies were identified and divided into: MRI (n = 115), functional MRI (n = 19), CT (n = 9), PET (n = 18), and US (n = 1). Seven were multimodal. MRI applications were described in 74%, and 76 (49%) were tasked with image segmentation. Of the 155 articles identified in this study, 65 (42%) were tested on institutional data; only 16 were validated against publicly available data. In addition, 53 studies (34%) used a combined dataset of less than 100, and 124 (80%) used a combined dataset of less than 1000. CONCLUSION: Although deep learning has demonstrated potential for each of these modalities, this review highlights several needs in the field of deep learning research including use of internal datasets without external validation, unavailability of implementation methods, inconsistent assessment metrics, and lack of clinical validation. However, the rapid growth of deep learning in neuroradiology holds promise and, as strides are made to improve standardization, generalizability, and reproducibility, it may soon play a role in clinical diagnosis and treatment of neurologic disorders.Supplemental material is available for this article.© RSNA, 2020.

Example-Based Learning as a Guide for Revising a Peer-Reviewed Manuscript.

Publishing medical research is an increasingly competitive process for junior researchers. One critical step is revising a manuscript with editorial team feedback. This article's purpose is to utilize a novel example-based learning approach to provide trainees and junior faculty with ten steps on how to successfully navigate the manuscript peer-review process. To this end, each step in the proposed guide is correlated with the authors' most recent publication experience, with key manuscript and editor response letter versions made available through an open-access digital repository.

Augmented reality in medical education: a systematic review.

INTRODUCTION: The field of augmented reality (AR) is rapidly growing with many new potential applications in medical education. This systematic review investigated the current state of augmented reality applications (ARAs) and developed an analytical model to guide future research in assessing ARAs as teaching tools in medical education. METHODS: A literature search was conducted using PubMed, Embase, Web of Science, Cochrane Library, and Google Scholar. This review followed PRISMA guidelines and included publications from January 1, 2000 to June 18, 2018. Inclusion criteria were experimental studies evaluating ARAs implemented in healthcare education published in English. Our review evaluated study quality and determined whether studies assessed ARA validity using criteria established by the GRADE Working Group and Gallagher et al., respectively. These findings were used to formulate an analytical model to assess the readiness of ARAs for implementation in medical education. RESULTS: We identified 100,807 articles in the initial literature search; 36 met inclusion criteria for final review and were categorized into three categories: Surgery (23), Anatomy (9), and Other (4). The overall quality of the studies was poor and no ARA was tested for all five stages of validity. Our analytical model evaluates the importance of research quality, application content, outcomes, and feasibility of an ARA to gauge its readiness for implementation. CONCLUSION: While AR technology is growing at a rapid rate, the current quality and breadth of AR research in medical training is insufficient to recommend the adoption into educational curricula. We hope our analytical model will help standardize AR assessment methods and define the role of AR technology in medical education.

CONTEXTE: Le domaine de la réalité augmentée (RA) est en pleine émergence et dispose de plusieurs nouvelles applications potentielles en éducation médicale. Cette revue systématique a évalué l'état actuel des applications de réalité augmentée (ARA) afin d'et élaboré un modèle analytique pour orienter les futures recherches sur l'évaluation des ARA comme outils pédagogiques en éducationmédicale. MÉTHODES: Une recherche documentaire a été menée à l'aide de PubMed, Web of Science, Cochrane Library et Google Scholar. Cette revue a suivi les directives de la méthode PRISMA et contenait les publications du 1er janvier 2000 au 18 juin 2018. Les études étaient retenues si elles avaient un devis expérimental et qu'elles avaient été publiées en anglais et qu'elles évaluaient des ARA mises en place dans l'enseignement des soins de santé. Notre revuea évalué la qualité des études et déterminé si les études ont pu évaluer la validité des ARA en utilisant les critères établis par le GRADE Working Group et Gallagher et coll., respectivement. À partir de ces conclusions, nous avons formulé un modèle analytique afin d'évaluer si les ARA peuvent être mises en place dans la formation médicale. RÉSULTATS: Nous avons trouvé 100 807 articles lors de la recherche documentaire initiale; 36 ont satisfait aux critères d'inclusion pour l'examen final et ont été classés dans trois catégories : chirurgie (23), anatomie (9) et autre (4). La qualité globaledes études était de mauvaise et aucune ARA n'a été testée pour toutes les cinq étapes de validité. Notre modèle analytique évalue l'importance de la qualité des recherches, du contenu des applications, des résultats, et de la faisabilité d'une ARA pour déterminer si elle est prête à être mise en place. CONCLUSION: Bien que la technologie de la RA progresse rapidement, la qualité et l'étendue actuelles de la recherche sur la RA en éducationmédicale sont insuffisantes pour recommander son adoption dans le cursus de formation. Nous espérons que notre modèle analytique aidera à uniformiserles méthodes d'évaluations de la RA et à déterminer le rôle de la technologie liée à la RA en éducation médicale.