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    Washington University School of Medicine

    Washington University School of Medicine

    院校
    4,350论文总数
    20.1万引用总数

    Washington University School of Medicine (WUSM) is the medical school of Washington University in St. Louis in St. Louis, Missouri. Founded in 1891, the School of Medicine has 1,260 students, 604 of which are pursuing a medical degree with or without a combined Doctor of Philosophy or other advanced degree. It also offers doctorate degrees in biomedical research through the Division of Biology and Biological Sciences. The School has developed large physical therapy (273 students) and occupational therapy (233 students) programs, as well as the Program in Audiology and Communication Sciences (100 students) which includes a Doctor of Audiology (Au.D.) degree and a Master of Science in Deaf Education (M.S.D.E.) degree. There are 1,772 faculty, 1,022 residents, and 765 fellows.The clinical service is provided by Washington University Physicians, a comprehensive medical and surgical practice providing treatment in more than 75 medical specialties. Washington University Physicians are the medical staffs of the two teaching hospitals – Barnes-Jewish Hospital and St. Louis Children's Hospital. They also provide inpatient and outpatient care at the St. Louis Veteran's Administration Hospital, hospitals in the BJC HealthCare system and 35 other office locations throughout the greater St Louis region. U.S. News and World Report ranks the college high; the school is currently ranked 6th for research and has been ranked as high as 2nd in 2003 and 2004, It has been listed among the top ten medical schools since rankings were first published in 1987. The school ranks first in the nation in student selectivity. As of 2019, it also receives the third most funding among all medical schools in the US from the National Institue of Health, totalling an amount of $218 million. Globally, the school is ranked as the 20th and 35th best medical program in 2020 by the Times Higher Education’s World University Rankings for medicine and QS World University Ranking for medicine, respectively.

    论文量&引用量时间轴

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    Tammie L. S. Benzinger
    Tammie L. S. Benzinger
    Neuroimaging Labs Research Center, Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis
    论文:234引用:0H-index:0
    Brian A. Gordon
    Brian A. Gordon
    Neuroimaging Labs Research Center, Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis
    论文:162引用:0H-index:0
    John Carl Morris
    John Carl Morris
    Department of Neurology, School of Medicine, Washington University;Institute of Clinical and Translational Sciences, School of Medicine, Washington University in St. Louis;Hope Center for Neurological Disorders, School of Medicine, Washington University in St. Louis
    论文:145引用:0H-index:0
    Randall J. Bateman
    Randall J. Bateman
    Department of Neurology, School of Medicine, Washington University in St. Louis;Tracy Family Stable Isotope Labeling Quantitation Center for Neurodegenerative Biology, Washington University in St. Louis
    论文:92引用:0H-index:0
    Chengjie Xiong
    Chengjie Xiong
    Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine;Department of Biostatistics, Washington University School of Medicine
    论文:79引用:0H-index:0
    Jason Hassenstab
    Jason Hassenstab
    Cognitive Technology Research Laboratory, School of Medicine, Washington University in St. Louis
    论文:63引用:0H-index:0
    Anne Fagan
    Anne Fagan
    Department of Neurology, School of Medicine, Washington University in St. Louis
    论文:61引用:0H-index:0
    Carlos Cruchaga
    Carlos Cruchaga
    Washington University in St. Louis
    论文:59引用:0H-index:0
    Beau M. Ances
    Beau M. Ances
    Department of Neurology, School of Medicine, Washington University in St. Louis
    论文:50引用:0H-index:0

    论文(4351)

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    1Developing a Core Outcome Set for the NeuroPoint Alliance Quality Outcomes Database Pediatric Tumor Surgery Registry: a Modified Delphi Study.
    David S. Hersh,Anthony L. Asher, Mohamad Bydon, Maliya Delawan,Ian F. Pollack, Jason S. Hauptman, Eric M. Thompson,Michael C. Dewan,S. Hassan. A. Akbari, Karl Balsara, Randaline R. Barnett, Marian M. Bercu,

    Prospective, multi-institutional surgical data collection in pediatric neuro-oncology remains limited despite substantial variation in operative and perioperative management across institutions. To address this, we are developing the NeuroPoint Alliance (NPA) Quality Outcomes Database (QOD) Pediatric Tumor Surgery Registry. Here, we used a modified Delphi process to define a core outcome set for the registry. A modified Delphi study was conducted among pediatric neurosurgeons serving as site principal investigators for the proposed registry. Candidate data elements were rated on a 9-point Likert scale. Consensus for inclusion was predefined as ≥70

    2026Journal of Neuro-Oncology(2026)引用:28
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    2Concordance of Large Language Model Recommendations with Multidisciplinary Heart Team Decisions in Coronary Revascularization and Aortic Valve Intervention: A Systematic Review and Pooled Analysis.
    Armaun D. Rouhi, Shreyas V. Menon, Yazid K. Ghanem,Jason J. Han

    The multidisciplinary heart team (HT) remains the cornerstone of decision-making for complex cardiovascular disease. Large language models (LLMs) and other generative artificial intelligence models have recently emerged as potential decision support tools across diverse clinical settings. We sought to synthesize current evidence and quantitatively estimate concordance between LLM recommendations and HT decisions. A literature search was performed using PubMed, Scopus, and Web of Science for primary studies published between November 2022 and February 2026 that evaluated recommendations by LLMs against multidisciplinary HT decisions. Studies reporting overall agreement were included for quantitative pooling. Random-effects meta-analysis was performed to determine proportion of agreement. Four retrospective concordance studies were included regarding decision-making in coronary revascularization and aortic valve intervention. LLM–HT concordance ranged from 65

    2026Cardiology and Therapy(2026)引用:22
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    3Finerenone in Type 1 Diabetes and Chronic Kidney Disease.
    Hiddo J L Heerspink,Andreas L Birkenfeld, David Z I Cherney, Helen M Colhoun,Per-Henrik Groop,Linong Ji,Niels Jongs,Chantal Mathieu,Richard E Pratley,Sylvia E Rosas,Peter Rossing, Jay S Skyler,

    BACKGROUND:The nonsteroidal mineralocorticoid receptor antagonist finerenone has been reported to improve kidney and cardiovascular outcomes in persons with type 2 diabetes and chronic kidney disease (CKD). The efficacy and safety of finerenone in persons with type 1 diabetes and CKD are unknown. METHODS:We conducted a phase 3 trial involving adults who had type 1 diabetes, CKD (estimated glomerular filtration rate [eGFR], 25 to <90 ml per minute per 1.73 m2 of body-surface area), and albuminuria (urinary albumin-to-creatinine ratio [with albumin measured in milligrams and creatinine measured in grams], 200 to <5000) and were receiving an angiotensin-converting-enzyme (ACE) inhibitor or an angiotensin-receptor blocker. Participants were randomly assigned to receive finerenone (10 or 20 mg per day, depending on the eGFR) or matching placebo. The primary outcome was the relative change in the urinary albumin-to-creatinine ratio over a period of 6 months. RESULTS:A total of 242 participants underwent randomization. The median urinary albumin-to-creatinine ratio decreased from 574.6 at baseline to 373.5 at 6 months among all the participants assigned to receive finerenone and from 506.4 to 475.6 among those assigned to receive placebo. Over a period of 6 months, the urinary albumin-to-creatinine ratio decreased by 34% with finerenone (geometric mean ratio to baseline, 0.66; 95% confidence interval [CI], 0.60 to 0.73) and 12% with placebo (geometric mean ratio to baseline, 0.88; 95% CI, 0.79 to 0.98), which corresponded to a 25% greater reduction with finerenone than with placebo (geometric mean ratio for finerenone vs. placebo, 0.75; 95% CI, 0.65 to 0.87; P<0.001). The most common adverse event was hyperkalemia (in 12 participants [10.1%] with finerenone and in 4 [3.3%] with placebo); 2 participants (1.7%) discontinued finerenone because of hyperkalemia. At 6 months, the change in the eGFR was -5.6 ml per minute per 1.73 m2 with finerenone and -2.7 ml per minute per 1.73 m2 with placebo (difference, -2.9 ml per minute per 1.73 m2; 95% CI, -5.1 to -0.7); eGFR values approached baseline levels during the washout period. CONCLUSIONS:In adults with type 1 diabetes and CKD, finerenone resulted in a significantly greater decrease in the urinary albumin-to-creatinine ratio than placebo. (Funded by Bayer; FINE-ONE ClinicalTrials.gov number, NCT05901831.).

    2026The New England journal of medicine(2026)引用:3
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    4Patterns of Care and Clinical Outcomes in Systemic Peripheral T-cell Lymphoma: the LEO-MER Prospective Cohort Study
    Jia Ruan, Zhengming Chen,Melissa C Larson,N Nora Bennani,Pamela Allen,Eric Mou,Danielle Wallace,Neha Mehta-Shah,Izidore S Lossos, Luis E Malpica Castillo, David L Jaye,Francisco Vega,

    ABSTRACT:Few prospective benchmark studies exist to characterize the evolving contemporary real-world practice for peripheral T-cell lymphoma (PTCL). We report the patterns of first-line care and outcomes for 720 patients with systemic PTCL enrolled in 2 related prospective cohort studies, Lymphoma Epidemiology of Outcomes (LEO) from 2015 to 2020 and Molecular Epidemiology Resource (MER) from 2002 to 2015, both followed to 2024. The primary end points were event-free survival (EFS) and overall survival (OS) using Kaplan-Meier estimator and Cox regression model. Secondary end points included correlations of clinical and treatment factors with survival. The most common induction regimens were CHOP (cyclophosphamide, doxorubicin, vincristine, prednisone) based (70%), given as CHOP (36%), CHOP plus etoposide (23%), or CHOP-like plus novel agents (11.5%, including 5% BV-CHP [brentuximab plus cyclophosphamide, doxorubicin, and prednisone]). Consolidative autologous stem cell transplant was performed in 102 patients (14%). Within nodal PTCL, EFS and OS were adversely associated with International Prognostic Index 2 to 5, prognostic index for T-cell lymphoma score 1 to 4, and non-anaplastic large-cell lymphoma (ALCL) subtypes. Within LEO, which captured increasing first-line etoposide and brentuximab vedotin, adding etoposide to CHOP was associated with better OS in anaplastic lymphoma kinase-negative ALCL. BV-CHP showed a trend toward OS improvement in ALCL. Patients failing EFS6 and EFS24 had 5-year subsequent OS of 12% and 17%, respectively. The inferior outcomes in non-ALCL subtypes and patients failing EFS6 and EFS24 highlight unmet needs with CHOP-based induction, where clinical trials with targeted therapy should be prioritized. This trial was registered at www.clinicaltrials.gov as NCT02736357.

    2026Blood advances(2026)引用:3
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    5Antibodies to Watch in 2026
    Silvia Crescioli,Hélène Kaplon, Alicia Chenoweth, Yu-Shin Hsu, Kieran Pinto,Vaishali Kapoor, Janice M Reichert

    The Antibodies to Watch article series provides annual updates on commercial late-stage clinical development, regulatory review, and marketing approvals of antibody therapeutics. Since the first article was published in 2010, the late-stage pipeline has grown from 26 antibody therapeutics to over 200, while during the same time numerous molecules in late-stage studies either transitioned to regulatory review and were approved or were terminated. In this installment of the series, we recap first marketing approvals granted to 19 antibody therapeutics in 2025, discuss 26 molecules currently in regulatory review, including the bispecific antibody-drug conjugate izalontamab brengitecan, and predict which molecules of the 209 currently in the commercial late-stage pipeline might transition to regulatory review by the end of 2026. Most antibody therapeutics in the latter category are for non-cancer indications (16/21, 76%) and have a conventional format (13/21, 62%), but the category also includes numerous antibody-oligo or -drug conjugates, such as delpacibart etedesiran, delpacibart zotadirsen, zeleciment rostudirsen, sonesitatug vedotin, trastuzumab pamirtecan, and ifinatamab deruxtecan, as well as the bispecific petosemtamab. As antibody therapeutics development is a global enterprise, we also discuss trends in annual first approvals granted to antibody therapeutics in any country since 2010, stratified by the antibody's country of origin, documenting the notable increases in the total number of first approvals and those approved first in China. Finally, to benchmark the time typically required for clinical development and regulatory review, we calculated this period for recently approved antibody therapeutic products stratified by their therapeutic area, mechanism of action, format, and country of origin. Our data show that the development and approval period were typically ~6 years, but on average this period was shorter for China-originated products.

    2026mAbs(2026)引用:3
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    合作机构(100)

    华盛顿大学合作论文 872
    圣路易斯华盛顿大学合作论文 470
    University of Washington School of Medicine合作论文 295
    加州大学合作论文 131
    温纳贝戈医学中心合作论文 123
    Massachusetts General Hospital,Harvard Medical School合作论文 109
    密歇根大学合作论文 98
    哥伦比亚大学合作论文 92
    纪念斯隆凯特琳癌症中心合作论文 90
    哈佛医学院合作论文 88

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