Recently Published

  • The IR Venn Diagram: Diversity in Technology, Content, Users, and Roles in Specialized Institutional Repositories

    Kubilius, Ramune K.; Burke, Michael; Jerome, Erin; Lovett, Julia; O'Brien, Emily Ping; Palmer, Lisa A. (2024-07-15)
    In this poster, librarians from six academic libraries – representing various sectors including science, technology, engineering, medicine, music, and large universities – collaborated to explore and reflect on the academic IR community that encompasses specialized libraries, collections, and formats. The authors answered self-survey questions and responses were analyzed for visualization in the poster. The poster spotlights diversity in technology, content, users, roles, priorities, and challenges. It also illustrates some of the common threads and opportunities that have relevance and implications in both the special library and the broader IR landscape.
  • Demographics and Employment Outcomes: Selected Findings from NIDILRR-funded Disability Employment Research in the 21st Century

    Russinova, Zlatka; Bloch, Philippe (2024-06-28)
    A systematic scoping review of research published between 2000 and 2020 on employment of people with disabilities, that was funded by the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) was conducted by CeKTER researchers. All papers comparing people with disabilities to those without have been excluded from the systematic scoping review. Among over 100 publications reviewed there was a wide and very disparate array of findings with numerous variables used and varying research questions. This result belies summative findings. There are numerous ways of organizing the disparate findings. This brief is the first in a series of findings from the systematic scoping review. In this brief we report on findings categorized by the demographic characteristics of education, gender, marital status, race, and age. Please note that all comparisons are always about corresponding peers with disabilities.
  • Racial Disparities and Trends in Anticoagulant Use among Ambulatory Care Patients with Atrial Fibrillation and Atrial Flutter in the United States from 2007-2019 [preprint]

    Kan, Vincent; Lapane, Kate L; McManus, David D; Baek, Jonggyu; Darling, Chad E; Alcusky, Matthew J (2024-06-15)
    Introduction Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, significantly increasing the risk of stroke. The introduction of direct oral anticoagulants (DOACs) since 2010 has transformed anticoagulation therapy, offering an alternative to warfarin with improved safety profiles. Despite the increased adoption of DOACs, disparities in their use among different racial and ethnic groups in the United States remain understudied. Methods This study utilized a repeated cross-sectional design, analyzing data from the National Ambulatory Medical Care Survey (NAMCS) from 2007 to 2019. The study population included adults diagnosed with AF or atrial flutter (AFL). We analyzed the temporal trends of DOAC and warfarin use from 2007 to 2019. We examined the prevalence of DOAC versus warfarin use and assessed associations between race/ethnicity, patient characteristics, and DOAC utilization from 2011 to 2019. Multivariable modified Poisson regression models were used to calculate adjusted prevalence ratios (aPR) for the associations. Results From 2011 to 2019, NAMCS recorded 3,224 visits involving AF or AFL, representing a weighted estimate of 103.6 million visits. DOAC use increased significantly, with apixaban becoming the predominant anticoagulant by 2016. Non-Hispanic Black patients were less likely to use DOACs compared to non-Hispanic White patients over time (aPR 0.75; 95% CI, 0.63-0.90). Patients with Medicaid insurance were also less likely to use DOACs (aPR 0.14; 95% CI: 0.04-0.46). Conclusion Despite the shift from warfarin to DOACs for AF and AFL treatment, significant racial and socioeconomic disparities persist. Non-Hispanic Black patients and those with Medicaid insurance are less likely to use DOACs. These findings highlight the need for targeted strategies to ensure equitable access to advanced anticoagulant therapies.
  • Depressive Symptoms in Adolescence as a Predictor of Young Adult Employment Quality: Findings from the National Longitudinal Study of Adolescent to Adult Health

    Sabella, Kathryn (2024-06-13)
    This study uses longitudinal data from a nationally representative sample of adolescents, The National Longitudinal Study of Adolescent to Adult Health, to investigate the association between depressive symptomatology in adolescence and indicators of employment quality in young adulthood. A better understanding of the long-term impacts of adolescent depressive symptoms on employment quality during young adulthood would inform our understanding of how economic and mental health trajectories of individuals with a history of depression unfold.
  • Correction of multiplexing artefacts in multi-pinhole SPECT through temporal shuttering, de-multiplexing of projections, and alternating reconstruction

    Pells, Sophia; Zeraatkar, Navid; Kalluri, Kesava S; Moore, Stephen C; May, Micaehla; Furenlid, Lars R; Kupinski, Matthew A; Kuo, Phillip H; King, Michael A (2024-06-06)
    Objective.Single-photon emission computed tomography (SPECT) with pinhole collimators can provide high-resolution imaging, but is often limited by low sensitivity. Acquiring projections simultaneously through multiple pinholes affords both high resolution and high sensitivity. However, the overlap of projections from different pinholes on detectors, known as multiplexing, has been shown to cause artefacts which degrade reconstructed images.Approach.Multiplexed projection sets were considered here using an analytic simulation model of AdaptiSPECT-C-a brain-dedicated multi-pinhole SPECT system. AdaptiSPECT-C has fully adaptable aperture shutters, so can acquire projections with a combination of multiplexed and non-multiplexed frames using temporal shuttering. Two strategies for reducing multiplex artefacts were considered: an algorithm to de-multiplex projections, and an alternating reconstruction strategy for projections acquired with a combination of multiplexed and non-multiplexed frames. Geometric and anthropomorphic digital phantoms were used to assess a number of metrics.Main results.Both de-multiplexing strategies showed a significant reduction in image artefacts and improved fidelity, image uniformity, contrast recovery and activity recovery (AR). In all cases, the two de-multiplexing strategies resulted in superior metrics to those from images acquired with only mux-free frames. The de-multiplexing algorithm provided reduced image noise and superior uniformity, whereas the alternating strategy improved contrast and AR.Significance.The use of these de-multiplexing algorithms means that multi-pinhole SPECT systems can acquire projections with more multiplexing without degradation of images.
  • UMCCTS Newsletter, June 2024

    UMass Center for Clinical and Translational Science (2024-06-03)
    This is the June 2024 issue of the UMass Center for Clinical and Translational Science Newsletter containing news and events of interest.
  • ACR Appropriateness Criteria® Female Breast Cancer Screening: 2023 Update

    Niell, Bethany L; Jochelson, Maxine S; Amir, Tali; Brown, Ann; Adamson, Megan; Baron, Paul; Bennett, Debbie L; Chetlen, Alison; Dayaratna, Sandra; Freer, Phoebe E; et al. (2024-06-01)
    Early detection of breast cancer from regular screening substantially reduces breast cancer mortality and morbidity. Multiple different imaging modalities may be used to screen for breast cancer. Screening recommendations differ based on an individual's risk of developing breast cancer. Numerous factors contribute to breast cancer risk, which is frequently divided into three major categories: average, intermediate, and high risk. For patients assigned female at birth with native breast tissue, mammography and digital breast tomosynthesis are the recommended method for breast cancer screening in all risk categories. In addition to the recommendation of mammography and digital breast tomosynthesis in high-risk patients, screening with breast MRI is recommended. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.
  • SARS-CoV-2 infection is associated with an increase in new diagnoses of schizophrenia spectrum and psychotic disorder: A study using the US national COVID cohort collaborative (N3C)

    Rahman, Asif; Russell, Michael; Zheng, Wanhong; Eckrich, Daniel; Ahmed, Imtiaz (2024-05-30)
    Amid the ongoing global repercussions of SARS-CoV-2, it is crucial to comprehend its potential long-term psychiatric effects. Several recent studies have suggested a link between COVID-19 and subsequent mental health disorders. Our investigation joins this exploration, concentrating on Schizophrenia Spectrum and Psychotic Disorders (SSPD). Different from other studies, we took acute respiratory distress syndrome (ARDS) and COVID-19 lab-negative cohorts as control groups to accurately gauge the impact of COVID-19 on SSPD. Data from 19,344,698 patients, sourced from the N3C Data Enclave platform, were methodically filtered to create propensity matched cohorts: ARDS (n = 222,337), COVID-19 positive (n = 219,264), and COVID-19 negative (n = 213,183). We systematically analyzed the hazard rate of new-onset SSPD across three distinct time intervals: 0-21 days, 22-90 days, and beyond 90 days post-infection. COVID-19 positive patients consistently exhibited a heightened hazard ratio (HR) across all intervals [0-21 days (HR: 4.6; CI: 3.7-5.7), 22-90 days (HR: 2.9; CI: 2.3 -3.8), beyond 90 days (HR: 1.7; CI: 1.5-1.)]. These are notably higher than both ARDS and COVID-19 lab-negative patients. Validations using various tests, including the Cochran Mantel Haenszel Test, Wald Test, and Log-rank Test confirmed these associations. Intriguingly, our data indicated that younger individuals face a heightened risk of SSPD after contracting COVID-19, a trend not observed in the ARDS and COVID-19 negative groups. These results, aligned with the known neurotropism of SARS-CoV-2 and earlier studies, accentuate the need for vigilant psychiatric assessment and support in the era of Long-COVID, especially among younger populations.
  • Pairtools: From sequencing data to chromosome contacts

    Abdennur, Nezar; Fudenberg, Geoffrey; Flyamer, Ilya M; Galitsyna, Aleksandra A; Goloborodko, Anton; Imakaev, Maxim; Venev, Sergey V (2024-05-29)
    The field of 3D genome organization produces large amounts of sequencing data from Hi-C and a rapidly-expanding set of other chromosome conformation protocols (3C+). Massive and heterogeneous 3C+ data require high-performance and flexible processing of sequenced reads into contact pairs. To meet these challenges, we present pairtools-a flexible suite of tools for contact extraction from sequencing data. Pairtools provides modular command-line interface (CLI) tools that can be flexibly chained into data processing pipelines. The core operations provided by pairtools are parsing of.sam alignments into Hi-C pairs, sorting and removal of PCR duplicates. In addition, pairtools provides auxiliary tools for building feature-rich 3C+ pipelines, including contact pair manipulation, filtration, and quality control. Benchmarking pairtools against popular 3C+ data pipelines shows advantages of pairtools for high-performance and flexible 3C+ analysis. Finally, pairtools provides protocol-specific tools for restriction-based protocols, haplotype-resolved contacts, and single-cell Hi-C. The combination of CLI tools and tight integration with Python data analysis libraries makes pairtools a versatile foundation for a broad range of 3C+ pipelines.
  • Disparities in Palliative Care Use for Patients With Blood Cancer Who Died in the Hospital

    Hsieh, Tien-Chan; Yeo, Yee Hui; Zou, Guangchen; Zhou, Chan; Ash, Arlene S. (2024-05-27)
    Background: Palliative care can enhance quality of life during a terminal hospitalization. Despite advances in diagnostic and treatment tools, blood cancers lag behind solid malignancies in palliative use. It is not clear what factors affect palliative care use in blood cancer. Methods: We used the 2016 to 2019 National Inpatient Sample to identify demographic and socioeconomic factors associated with receiving palliative care among patients over age 18 with any malignant hematological diagnosis during a terminal hospitalization lasting at least 3 days, excluding those receiving a stem cell transplant. Results: Palliative care use was documented 54% of the time among 49,720 weighted cases (9944 distinct individual hospitalizations), approximately evenly distributed across the years 2016-2019. Palliative care use was lowest in 2016 (51%) and highest in 2018 (58%), and increased with age, reaching 58% for those 80 years and older. Men and women were similarly likely to receive care. Patients of Hispanic ethnicity and African Americans received less palliative care (47% and 49%, respectively), as did those insured by Medicaid (48%), and those admitted to small or rural hospitals (52% and 47%, respectively). Charges for hospitalizations with palliative care were 19% lower than for those without it. Conclusions: This study highlights disparities in palliative care use among blood-cancer patients who died in the hospital. It seems likely that many of the 46% who did not receive palliative care could have benefitted from it. Interventions are likely needed to achieve equitable access to ideal levels of palliative care services in late-stage blood cancer.
  • Facilitating Culturally Competent Breast Imaging Care in South Asian Patients

    Sharma, Nidhi; Mehta, Tejas S; Wahab, Rifat A; Patel, Miral M (2024-05-24)
    South Asians are a rapidly growing subset of the Asian population in the United States. They comprise people from multiple countries with diverse beliefs, languages, and cultural identities and values. The incidence of breast cancer is rising in South Asian women in the United States, with earlier onset and predilection for HER2-enriched tumors. Despite the rising incidence of breast cancer, participation in screening remains lower than other populations. Health care inequities in South Asian women are multifactorial and may be due to traditional health beliefs and practices, language barriers, cultural differences, and lack of overall awareness. Developing a culturally sensitive environment in breast imaging clinic practice can lead to improved patient care and adherence. Given the scarcity of data specific to the South Asian population in United States, there is a need for health service researchers and practice leaders to obtain more high-quality data to understand the needs of South Asian patient populations.
  • Single-cell genomics and regulatory networks for 388 human brains

    Emani, Prashant S; Liu, Jason J; Clarke, Declan; Jensen, Matthew; Warrell, Jonathan; Gupta, Chirag; Meng, Ran; Lee, Che Yu; Xu, Siwei; Dursun, Cagatay; et al. (2024-05-24)
    Single-cell genomics is a powerful tool for studying heterogeneous tissues such as the brain. Yet little is understood about how genetic variants influence cell-level gene expression. Addressing this, we uniformly processed single-nuclei, multiomics datasets into a resource comprising >2.8 million nuclei from the prefrontal cortex across 388 individuals. For 28 cell types, we assessed population-level variation in expression and chromatin across gene families and drug targets. We identified >550,000 cell type-specific regulatory elements and >1.4 million single-cell expression quantitative trait loci, which we used to build cell-type regulatory and cell-to-cell communication networks. These networks manifest cellular changes in aging and neuropsychiatric disorders. We further constructed an integrative model accurately imputing single-cell expression and simulating perturbations; the model prioritized ~250 disease-risk genes and drug targets with associated cell types.
  • Cross-ancestry atlas of gene, isoform, and splicing regulation in the developing human brain

    Wen, Cindy; Margolis, Michael; Dai, Rujia; Zhang, Pan; Przytycki, Pawel F; Vo, Daniel D; Bhattacharya, Arjun; Matoba, Nana; Tang, Miao; Jiao, Chuan; et al. (2024-05-24)
    Neuropsychiatric genome-wide association studies (GWASs), including those for autism spectrum disorder and schizophrenia, show strong enrichment for regulatory elements in the developing brain. However, prioritizing risk genes and mechanisms is challenging without a unified regulatory atlas. Across 672 diverse developing human brains, we identified 15,752 genes harboring gene, isoform, and/or splicing quantitative trait loci, mapping 3739 to cellular contexts. Gene expression heritability drops during development, likely reflecting both increasing cellular heterogeneity and the intrinsic properties of neuronal maturation. Isoform-level regulation, particularly in the second trimester, mediated the largest proportion of GWAS heritability. Through colocalization, we prioritized mechanisms for about 60% of GWAS loci across five disorders, exceeding adult brain findings. Finally, we contextualized results within gene and isoform coexpression networks, revealing the comprehensive landscape of transcriptome regulation in development and disease.
  • Maternal and Perinatal Factors Associated With Childhood Brain Tumors: A Case-Control Study in Vietnam

    Pham, Huy Ngoc; Goldberg, Robert J.; Pham, Loc Quang; Nguyen, Hoa L; Pham, Dao Anh; Mai, Linh Thi Thuy; Phung, Toi Lam; Hung, Doan Quoc; Dong, He Van; Duong, Ha Dai (2024-05-23)
    Introduction: Brain cancer is the leading cause of cancer-related deaths in children and the majority of childhood brain tumors are diagnosed without determination of their underlying etiology. Little is known about risk factors for childhood brain tumors in Vietnam. The objective of this case-control study was to identify maternal and perinatal factors associated with brain tumors occurring in young Vietnamese children and adolescents. Methods: We conducted a hospital-based case-control study at Viet Duc University Hospital in Hanoi, Vietnam. Cases consisted of children with brain tumors aged 0-14 years old admitted to the hospital from January 2020 to July 2022 while the controls were age and sex-matched hospitalized children diagnosed with head trauma. Perinatal characteristics were abstracted from hospital medical records and maternal medical, behavioral, and sociodemographic factors were collected through in-person interviews. Conditional logistic regression models were used to examine maternal and perinatal factors associated with childhood brain tumors. Results: The study sample included 220 children (110 cases and 110 controls) whose average age was 8.9 years and 41.8% were girls. Children born to mothers aged greater than 30 years at the time of the child's birth had a higher risk of childhood brain tumors compared to those born to mothers aged from 18 to 30 years old (OR = 2.55; 95% CI: 1.13-5.75). Additionally low maternal body mass index prior to the current pregnancy of <18.5 kg/m2 significantly increased the odds of having a child with a brain tumor in relation to normal maternal body mass index from 18.5-22.9 kg/m2 (OR = 3.19; 95% CI: 1.36 - 7.50). Conclusion: Advanced maternal age and being markedly underweight were associated with an increased odds of having a child with a brain tumor. A population-based study with larger sample size is needed to confirm and extend the present findings.
  • Using a comprehensive atlas and predictive models to reveal the complexity and evolution of brain-active regulatory elements

    Pratt, Henry E; Andrews, Gregory; Shedd, Nicole; Phalke, Nishigandha; Li, Tongxin; Pampari, Anusri; Jensen, Matthew; Wen, Cindy; Gandal, Michael J; Geschwind, Daniel H; et al. (2024-05-23)
    Most genetic variants associated with psychiatric disorders are located in noncoding regions of the genome. To investigate their functional implications, we integrate epigenetic data from the PsychENCODE Consortium and other published sources to construct a comprehensive atlas of candidate brain cis-regulatory elements. Using deep learning, we model these elements' sequence syntax and predict how binding sites for lineage-specific transcription factors contribute to cell type-specific gene regulation in various types of glia and neurons. The elements' evolutionary history suggests that new regulatory information in the brain emerges primarily via smaller sequence mutations within conserved mammalian elements rather than entirely new human- or primate-specific sequences. However, primate-specific candidate elements, particularly those active during fetal brain development and in excitatory neurons and astrocytes, are implicated in the heritability of brain-related human traits. Additionally, we introduce PsychSCREEN, a web-based platform offering interactive visualization of PsychENCODE-generated genetic and epigenetic data from diverse brain cell types in individuals with psychiatric disorders and healthy controls.
  • A Case Study Identifying Barriers to Breast Cancer Screening and Strategies for Improved Access and Participation in an Underserved Community

    Vijayaraghavan, Gopal R (2024-05-20)
    A complex interplay of racial, ethnic, and social determinants are the drivers for disparity in access to screening, quality of care and health outcomes in diverse populations.
  • Working Together to Mint DOIs on Demand for a DSpace Repository

    Grynoch, Tess; Palmer, Lisa A. (2024-05-20)
    Background: Digital Object Identifiers (DOIs) are a key persistent identifier in the publishing landscape to ensure discoverability and citation of research products. Minting DOIs can be a time-consuming task for repository librarians. This process can be automated since the metadata for DOIs is already in the repository record and DataCite, a DOI minting organization, and Open Repository, a DSpace repository platform, both have application programming interfaces (APIs). Previous software has enabled bulk DOI minting. However, the institutional repository contains a mixture of original materials (dissertations, reports, data, etc.) and previously published materials such as journal articles and preprints. Description: An institutional repository librarian and her librarian colleague with Python experience embarked on a pair programming project to create a script to mint DOIs on demand in DataCite for individual items in the institution’s Open Repository instance. The pair met for one hour each week to develop and test the script. The institutional repository librarian lent invaluable insight into both platforms and the metadata variations the code would need to account for. The project was also a great learning opportunity for both librarians to improve their Python coding skills. This project will be evaluated in terms of how the time spent creating the code compares to the time it takes to mint DOIs manually as well as metadata enhancements and accuracy in DataCite. Program Conclusion: This poster will share the final Python script and highlight the takeaways from this approach for both the institutional repository librarian and the coding librarian. Final evaluation is forthcoming.
  • Inferring causal cell types of human diseases and risk variants from candidate regulatory elements [preprint]

    Kim, Artem; Zhang, Zixuan; Legros, Come; Lu, Zeyun; de Smith, Adam; Moore, Jill E; Mancuso, Nicholas; Gazal, Steven (2024-05-18)
    The heritability of human diseases is extremely enriched in candidate regulatory elements (cRE) from disease-relevant cell types. Critical next steps are to infer which and how many cell types are truly causal for a disease (after accounting for co-regulation across cell types), and to understand how individual variants impact disease risk through single or multiple causal cell types. Here, we propose CT-FM and CT-FM-SNP, two methods that leverage cell-type-specific cREs to fine-map causal cell types for a trait and for its candidate causal variants, respectively. We applied CT-FM to 63 GWAS summary statistics (average N = 417K) using nearly one thousand cRE annotations, primarily coming from ENCODE4. CT-FM inferred 81 causal cell types with corresponding SNP-annotations explaining a high fraction of trait SNP-heritability (~2/3 of the SNP-heritability explained by existing cREs), identified 16 traits with multiple causal cell types, highlighted cell-disease relationships consistent with known biology, and uncovered previously unexplored cellular mechanisms in psychiatric and immune-related diseases. Finally, we applied CT-FM-SNP to 39 UK Biobank traits and predicted high confidence causal cell types for 2,798 candidate causal non-coding SNPs. Our results suggest that most SNPs impact a phenotype through a single cell type, and that pleiotropic SNPs target different cell types depending on the phenotype context. Altogether, CT-FM and CT-FM-SNP shed light on how genetic variants act collectively and individually at the cellular level to impact disease risk.
  • Let's Discuss: The History of Medical Libraries and Medical Librarianship

    Malachowski, Margot G. (2024-05-18)
    In the Medical Library Association 2022 Janet Doe Lecture, Michael Kronenfeld stated that "The great challenge medical library professionals are facing is how we evolve and respond to the emerging digital era." The Network of the National Library of Medicine invited librarians to explore the history of medical librarianship and the evolution of the profession in a book discussion format based on “The History of Medical Libraries and Medical Librarianship” by Kronenfeld and Kronenfeld. This poster displays a timeline of the history of medical libraries and medical librarianship, a visual of the number of active book discussion participants in relation to the registrants, and word balloons of ideas generated during the three-month discussion.
  • Safety and clinical outcomes of endovascular therapy versus medical management in late presentation of large ischemic stroke

    Mujanovic, Adnan; Strbian, Daniel; Demeestere, Jelle; Marto, João Pedro; Puetz, Volker; Nogueira, Raul G; Abdalkader, Mohamad; Nagel, Simon; Raymond, Jean; Ribo, Marc; et al. (2024-05-17)
    Introduction: The benefit of endovascular therapy (EVT) among stroke patients with large ischemic core (ASPECTS 0-5) in the extended time window outside of trial settings remains unclear. We analyzed the effect of EVT among these stroke patients in real-world settings. Patients and methods: The CT for Late Endovascular Reperfusion (CLEAR) study recruited patients from 66 centers in 10 countries between 01/2014 and 05/2022. The extended time-window was defined as 6-24 h from last-seen-well to treatment. The primary outcome was shift of the 3-month modified Rankin scale (mRS) score. Safety outcomes included symptomatic intracranial hemorrhage (sICH) and mortality. Outcomes were analyzed with ordinal and logistic regressions. Results: Among 5098 screened patients, 2451 were included in the analysis (median age 73, 55% women). Of patients with ASPECTS 0-5 (n = 310), receiving EVT (n = 209/310) was associated with lower 3-month mRS when compared to medical management (median 4 IQR 3-6 vs 6 IQR 4-6; aOR 0.4, 95% CI 0.2-0.7). Patients undergoing EVT had higher sICH (11.2% vs 4.0%; aOR 4.1, 95% CI 1.2-18.8) and lower mortality (31.6% vs 58.4%, aOR 0.4; 95% CI 0.2-0.9) compared to medically managed patients. The relative benefit of EVT was comparable between patients with ASPECTS 0 and 5 and 6-10 in the extended time window (interaction aOR 0.9; 95% CI 0.5-1.7). Conclusion: In the extended time window, patients with ASPECTS 0-5 may have preserved relative treatment benefit of EVT compared to patients with ASPECTS 6-10. These findings are in line with recent trials showing benefit of EVT among real-world patients with large ischemic core in the extended time window. Trial registration number: clinicaltrials.gov; Unique identifier: NCT04096248.

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