1110 10 20655 https://www.socictopen.socict.org/files/original/0c9f6be54506d7828771579820dc950a.pdf b7c69864da1b3d37e7fae5563a94491c Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Seminars Issue - COVID-19 and its impact on urologic oncology - Introduction to the first issue in a two-part series. Creator An entity primarily responsible for making the resource Adam S Feldman Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1016/j.urolonc.2021.04.005 Source A related resource from which the described resource is derived Urologic oncology https://www.socictopen.socict.org/files/original/41639014614d0e4c0eee05d15802ab63.pdf 07d2357d84091956d790765440e93b26 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Perspectives on anti-IL-1 inhibitors as potential therapeutic interventions for severe COVID-19. Creator An entity primarily responsible for making the resource Jie Geng, Feng Wang, Zhiwei Huang, Xiaobo Chen, Yuliang Wang Description An account of the resource The overproduction of proinflammatory cytokines, resulting in what has been described as a cytokine storm or cytokine release syndrome (CRS), may be the key factor in the pathology of severe coronavirus disease 2019 (COVID-19) and is also a crucial cause of death from COVID-19. With the purpose of finding effective and low-toxicity drugs to mitigate CRS, IL-1 blockade agents, which are one of the safest ways to stop this overwhelming innate immune response, are already available in several preliminary reports or are under observational trials and may offer an important treatment option in hyperinflammatory COVID-19. In this review, we described the key information in both case reports and clinical studies on the potential beneficial features of IL-1 inhibitors in COVID-19 patients. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, SARS-CoV-2, Cytokine release syndrome, anakinra, Interleukin-1 blockade Identifier An unambiguous reference to the resource within a given context 10.1016/j.cyto.2021.155544 Source A related resource from which the described resource is derived Cytokine https://www.socictopen.socict.org/files/original/ed5d9a02aaac729f172b40ed59ccc1f2.pdf 30b3f101e48f82e0bd003bec3f2d70f5 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Impact of metabolic syndrome in the clinical outcome of disease by SARS-COV-2 in Mexican population. Creator An entity primarily responsible for making the resource José Israel León-Pedroza, Octavio Rodríguez-Cortés, Raúl Flores-Mejía, Cinthia Vianney Gaona-Aguas, Antonio González-Chávez Description An account of the resource It has been observed that subjects with comorbidities related to metabolic syndrome (MetS) as hypertension, obesity, cardiovascular disease (CVD), and diabetes mellitus (DM2) show severe cases and a higher mortality by COVID-19. To date, there is little information available on the impact of the interaction between these comorbidities in the risk of death by COVID-19. To evaluate the impact of the combinations of MetS components in overall survival (OS) and risk of death among COVID-19 patients. Using public data of the Ministry of Health, suspected, and confirmed COVID-19 cases from February 25-June 6, 2020 was analyzed. Mortality odds ratio (OR) was calculated with a univariate analysis (95% CI) and attributable risk. Interactions between components and survival curves were analyzed and a multivariate logistics regression analysis was conducted. The analysis included 528,651 cases out of which 202,951 were confirmed for COVID-19. Probabilities of OS among confirmed patients were 0.93, 0.89, 0.87, 0.86, and 0.83 while the OR of multivariate analysis was 1.83 (1.77-1.89), 2.58 (2.48-2.69), 2.83 (2.66-3.01), and 3.36 (2.83-3.99) for zero, one, two, three, and four MetS components, respectively. The combination with the highest risk was DM2 + hypertension at 2.22 (2.15-2.28), and the attributable risk for any component was 9.35% (9.21-9.49). Only the combination obesity + CVD showed no significant interaction. The presence of one MetS component doubles the risk of death by COVID-19, which was higher among patients with DM2 + hypertension. Only obesity and CVD do not interact significantly. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, SARS-CoV-2, Hypertension, obesity, cardiovascular disease, DM2 Identifier An unambiguous reference to the resource within a given context 10.1016/j.arcmed.2021.04.001 Source A related resource from which the described resource is derived Archives of medical research https://www.socictopen.socict.org/files/original/dfda3654066becb7d43ad95df246e9a0.pdf a447f6e13ab65ef8421ea09c8d32f3ea Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The ethics of dentists receiving the COVID-19 vaccine: Following the American Dental Association Principles of Ethics and Code of Professional Conduct. Creator An entity primarily responsible for making the resource Robert Wilson, Guenter Jonke Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1016/j.adaj.2021.02.011 Source A related resource from which the described resource is derived Journal of the American Dental Association (1939) https://www.socictopen.socict.org/files/original/129b70f50261ed5ba2cfb90f31aad656.pdf 47b8564e07fb419f810efe2a572c8747 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The impact of theory-based messages on COVID-19 vaccination intentions: a structured summary of a study protocol for a randomised controlled trial Creator An entity primarily responsible for making the resource Marie Kotzur, Alex McConnachie, Ben Young, Lauren Gatting, Carissa Bonner, Julie Ayre, Carys Batcup, Kirsten McCaffery, Ronan O’Carroll, Kathryn A. Robb Description An account of the resource Abstract Objectives Uptake of vaccination against COVID-19 is key to controlling the pandemic. However, a significant proportion of people report that they do not intend to have a vaccine, often because of concerns they have about vaccine side effects or safety. This study will assess the impact of theory-based messages on COVID-19 vaccination intention, drawing on the Necessity-Concerns framework to address previously reported beliefs and concerns about COVID-19 vaccination, and assess whether hypothesised variables (illness coherence, perceived necessity and concerns) mediate change in vaccination intention. Trial design Prospective, parallel two-arm, individually randomised (1:1) trial. Participants Adults aged over 18 years, living in Scotland and not vaccinated for COVID-19. A quota sampling approach will be used with the aim of achieving a nationally representative sample on gender, region and ethnic group, with oversampling of individuals with no educational qualifications or with only school-level qualifications. Intervention and comparator Intervention: Brief exposure to online text and image-based messages addressing necessity beliefs and concerns about COVID-19 vaccination. Comparator: Brief exposure to online text and image-based messages containing general information about COVID-19 and COVID-19 vaccination. Main outcomes Primary outcome: Self-reported intention to receive a vaccine for COVID-19 if invited, immediately post-intervention. Secondary outcomes: Self-reported COVID-19 illness coherence, perceived necessity of a COVID-19 vaccine and concerns about a COVID-19 vaccine, immediately post-intervention. Randomisation Quasi-randomisation performed automatically by online survey software, by creating a variable derived from the number of seconds in the minute that the participant initiates the survey. Participants starting the survey at 0-14 or 30-44 seconds in the minute are allocated to the intervention and 15-29 or 45-59 seconds to the comparator. Blinding (masking) Participants will not be blinded to group assignment but will not be informed of the purpose of the study until they have completed the follow-up survey. Investigators will be blinded to allocation as all procedures will be undertaken digitally and remotely without any investigator contact with participants. Numbers to be randomised (sample size) A total of 1,094 will be randomised 1:1 into two groups with 547 individuals in each. Trial Status Protocol version number 1.0, 26th February 2021. Recruitment status: Not yet recruiting, set to start April 2021 and end April 2021. Trial registration ClinicalTrials.gov, NCT04813770 , 24th March 2021. Full protocol The full protocol is attached as an additional file, accessible from the Trials website (Additional file 1). In the interest in expediting dissemination of this material, the familiar formatting has been eliminated; this Letter serves as a summary of the key elements of the full protocol. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, Vaccination, Randomised controlled trial, protocol, Vaccine hesitancy, messaging Identifier An unambiguous reference to the resource within a given context 10.1186/s13063-021-05277-7 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine (General) https://www.socictopen.socict.org/files/original/03f1ef0ba9f3cc6bf7d1337bb3ec41b9.pdf 0c50958f46fb20c7381c950ea71b953e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Ethical considerations and patient safety concerns for cancelling non-urgent surgeries during the COVID-19 pandemic: a review Creator An entity primarily responsible for making the resource Brian V. Lien, Nolan J. Brown, Bayard Wilson, Stephen Szabadi, Cameron Quon, Vera Ong, Alexander Himstead, Nathan A. Shlobin, Chen Yi Yang, Shane Shahrestani, Katelynn Tran, Ali R. Tafreshi, Jack Birkenbeuel, Seth C. Ransom, Elliot H. Choi, Ronald Sahyouni, Alvin Y. Chan, Aaron Kheriaty, Isaac Yang Description An account of the resource Abstract At the time of writing of this article, there have been over 110 million cases and 2.4 million deaths worldwide since the start of the Coronavirus Disease 2019 (COVID-19) pandemic, postponing millions of non-urgent surgeries. Existing literature explores the complexities of rationing medical care. However, implications of non-urgent surgery postponement during the COVID-19 pandemic have not yet been analyzed within the context of the four pillars of medical ethics. The objective of this review is to discuss the ethics of elective surgery cancellation during the COVID-19 pandemic in relation to beneficence, non-maleficence, justice, and autonomy. This review hypothesizes that a more equitable decision-making algorithm can be formulated by analyzing the ethical dilemmas of elective surgical care during the pandemic through the lens of these four pillars. This paper’s analysis shows that non-urgent surgeries treat conditions that can become urgent if left untreated. Postponement of these surgeries can cause cumulative harm downstream. An improved algorithm can address these issues of beneficence by weighing local pandemic stressors within predictive algorithms to appropriately increase surgeries. Additionally, the potential harms of performing non-urgent surgeries extend beyond the patient. Non-maleficence is maintained through using enhanced screening protocols and modifying surgical techniques to reduce risks to patients and clinicians. This model proposes a system to transfer patients from areas of high to low burden, addressing the challenge of justice by considering facility burden rather than value judgments concerning the nature of a particular surgery, such as cosmetic surgeries. Autonomy can be respected by giving patients the option to cancel or postpone non-urgent surgeries. However, in the context of limited resources in a global pandemic, autonomy is not absolute. Non-urgent surgeries can ethically be postponed in opposition to the patient’s preference. The proposed algorithm attempts to uphold the four principles of medical ethics in rationing non-urgent surgical care by building upon existing decision models, using additional measures of resource burden and surgical safety to increase health care access and decrease long-term harm as much as possible. The next global health crisis will undoubtedly present its own unique challenges. This model may serve as a comprehensive starting point in determining future guidelines for non-urgent surgical care. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, ethics, Non-urgent surgery Identifier An unambiguous reference to the resource within a given context 10.1186/s13037-021-00293-7 Source A related resource from which the described resource is derived Biotemas Publisher An entity responsible for making the resource available Universidade Federal de Santa Catarina Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Surgery https://www.socictopen.socict.org/files/original/853b1a6eb7220dd87e4298a802b5642c.pdf 403f55819f35570488b1abdc739020fd Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Examining the diffusion of coronavirus disease 2019 cases in a metropolis: a space syntax approach Creator An entity primarily responsible for making the resource Yepeng Yao, Wenzhong Shi, Anshu Zhang, Zhewei Liu, Shuli Luo Description An account of the resource Abstract Background The urban built environment (BE) has been globally acknowledged as one of the main factors that affects the spread of infectious disease. However, the effect of the street network on coronavirus disease 2019 (COVID-19) incidence has been insufficiently studied. Severe acute respiratory syndrome coronavirus 2, which causes COVID-19, is far more transmissible than previous respiratory viruses, such as severe acute respiratory syndrome coronavirus, which highlights the role of the spatial configuration of street network in COVID-19 spread, as it is where humans have contact with each other, especially in high-density areas. To fill this research gap, this study utilized space syntax theory and investigated the effect of the urban BE on the spatial diffusion of COVID-19 cases in Hong Kong. Method This study collected a comprehensive dataset including a total of 3815 confirmed cases and corresponding locations from January 18 to October 5, 2020. Based on the space syntax theory, six space syntax measures were selected as quantitative indicators for the urban BE. A linear regression model and Geographically Weighted Regression model were then applied to explore the underlying relationships between COVID-19 cases and the urban BE. In addition, we have further improved the performance of GWR model considering the spatial heterogeneity and scale effects by adopting an adaptive bandwidth. Result Our results indicated a strong correlation between the geographical distribution of COVID-19 cases and the urban BE. Areas with higher integration (a measure of the cognitive complexity required for a pedestrians to reach a street) and betweenness centrality values (a measure of spatial network accessibility) tend to have more confirmed cases. Further, the Geographically Weighted Regression model with adaptive bandwidth achieved the best performance in predicting the spread of COVID-19 cases. Conclusion In this study, we revealed a strong positive relationship between the spatial configuration of street network and the spread of COVID-19 cases. The topology, network accessibility, and centrality of an urban area were proven to be effective for use in predicting the spread of COVID-19. The findings of this study also shed light on the underlying mechanism of the spread of COVID-19, which shows significant spatial variation and scale effects. This study contributed to current literature investigating the spread of COVID-19 cases in a local scale from the space syntax perspective, which may be beneficial for epidemic and pandemic prevention. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, Built environment, geographically weighted regression, space syntax Identifier An unambiguous reference to the resource within a given context 10.1186/s12942-021-00270-4 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Computer applications to medicine. Medical informatics https://www.socictopen.socict.org/files/original/a0e49063d61dcb57461dab29a6439510.pdf bfd23729ffed6ac26eb9fc9f53769b10 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Changes and Adaptations: How University Students Self-Regulate Their Online Learning During the COVID-19 Pandemic Creator An entity primarily responsible for making the resource Felicitas Biwer, Wisnu Wiradhany, Mirjam oude Egbrink, Harm Hospers, Stella Wasenitz, Walter Jansen, Anique de Bruin Description An account of the resource During the COVID-19 (coronavirus disease 2019) pandemic, universities had to shift from face-to-face to emergency remote education. Students were forced to study online, with limited access to facilities and less contact with peers and teachers, while at the same time being exposed to more autonomy. This study examined how students adapted to emergency remote learning, specifically focusing on students’ resource-management strategies using an individual differences approach. One thousand eight hundred university students completed a questionnaire on their resource-management strategies and indicators of (un)successful adaptation to emergency remote learning. On average, students reported being less able to regulate their attention, effort, and time and less motivated compared to the situation before the crisis started; they also reported investing more time and effort in their self-study. Using a k-means cluster analysis, we identified four adaptation profiles and labeled them according to the reported changes in their resource-management strategies: the overwhelmed, the surrenderers, the maintainers, and the adapters. Both the overwhelmed and surrenderers appeared to be less able to regulate their effort, attention, and time and reported to be less motivated to study than before the crisis. In contrast, the adapters appreciated the increased level of autonomy and were better able to self-regulate their learning. The resource-management strategies of the maintainers remained relatively stable. Students’ responses to open-answer questions on their educational experience, coded using a thematic analysis, were consistent with the quantitative profiles. Implications about how to support students in adapting to online learning are discussed. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, Cluster analysis, higher education, self regulated learning, emergency remote learning, resource management strategies Identifier An unambiguous reference to the resource within a given context 10.3389/fpsyg.2021.642593 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Psychology https://www.socictopen.socict.org/files/original/1771e9586c89c70c8d2a2ca013dc9173.pdf bd360324eb199d7243fbd72548ae6107 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Smartpathk: a platform for teaching glomerulopathies using machine learning Creator An entity primarily responsible for making the resource Nayze Lucena Sangreman Aldeman, Keylla Maria de Sá Urtiga Aita, Vinícius Ponte Machado, Luiz Claudio Demes da Mata Sousa, Antonio Gilberto Borges Coelho, Adalberto Socorro da Silva, Ana Paula da Silva Mendes, Francisco Jair de Oliveira Neres, Semíramis Jamil Hadad do Monte Description An account of the resource Abstract Background With the emergence of the new coronavirus pandemic (COVID-19), distance learning, especially that mediated by information and digital communication technologies, has been adopted in all areas of knowledge and at all levels, including medical education. Imminently practical areas, such as pathology, have made traditional teaching based on conventional microscopy more flexible through the synergies of computational tools and image digitization, not only to improve teaching-learning but also to offer alternatives to repetitive and exhaustive histopathological analyzes. In this context, machine learning algorithms capable of recognizing histological patterns in kidney biopsy slides have been developed and validated with a view to building computational models capable of accurately identifying renal pathologies. In practice, the use of such algorithms can contribute to the universalization of teaching, allowing quality training even in regions where there is a lack of good nephropathologists. The purpose of this work is to describe and test the functionality of SmartPathk, a tool to support teaching of glomerulopathies using machine learning. The training for knowledge acquisition was performed automatically by machine learning methods using the J48 algorithm to create a computational model of an appropriate decision tree. Results An intelligent system, SmartPathk, was developed as a complementary remote tool in the teaching-learning process for pathology teachers and their students (undergraduate and graduate students), showing 89,47% accuracy using machine learning algorithms based on decision trees. Conclusion This artificial intelligence system can assist in teaching renal pathology to increase the training capacity of new medical professionals in this area. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource Kidney, machine learning, digital pathology, intelligent system, renal pathology Identifier An unambiguous reference to the resource within a given context 10.1186/s12909-021-02680-1 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine, Special aspects of education https://www.socictopen.socict.org/files/original/73dc42906a96433ceac436d2bfa85258.pdf 832f9bb242da4b2b71ba429aa2ffb8e5 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource New Heart Failure Diagnoses Among Patients Hospitalized for COVID-19. Creator An entity primarily responsible for making the resource Jesus Alvarez-Garcia, Suraj Jaladanki, Mercedes Rivas-Lasarte, Matthew Cagliostro, Arjun Gupta, Aditya Joshi, Peter Ting, Sumeet S Mitter, Emilia Bagiella, Donna Mancini, Anuradha Lala Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1016/j.jacc.2021.03.006 Source A related resource from which the described resource is derived Journal of the American College of Cardiology