Showing 501 - 520 results of 1,357 for search 'From a Room: Volume 1', query time: 0.71s Refine Results
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    Does nicotine replacement therapy affect the frequency of delirium in patients after isolated myocardial revascularization? [Full text in English] by V. V. Bazylev, M. E. Evdokimov, A. A. Gornostaev, I. S. Fomina, A. A. Schegolkov, A. V. Bulygin, E. A. Malyarova

    Published 2018-04-01
    “…The groups were heterogeneous, the NRT group consisted of heavy smokers (over 10 cigarettes a day), p<0.001; diabetics, p = 0.006; alcoholics, p = 0.1; patients suffering from cerebral edema (according to computed tomography), p<0.001. …”
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  7. 507

    International Intercomparison of In Situ Chlorophyll-a Measurements for Data Quality Assurance of the Swedish Monitoring Program by Susanne Kratzer, E. Therese Harvey, E. Therese Harvey, Elisabetta Canuti

    Published 2022-07-01
    “…In order to shed light on these differences, we arranged international chlorophyll-a intercomparisons with eight participating laboratories during 1–2 July 2021. …”
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    Development and validation of a multiplex electrochemiluminescence immunoassay to evaluate dry eye disease in rat tear fluids by Agnese Compagnone, An Matheeussen, Linda De Vooght, Paul Cos

    Published 2023-07-01
    “…A major challenge in DED research is detecting multiple biomarkers in a low tear volume sample. …”
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    Traumatic Brain Injury in Honduras: The Use of a Paper‑based Surveillance System to Characterize Injuries Patterns by Erica Johnson, Cristina Rodriguez, Juan C. Puyana, Francisco J. Bonilla-Escobar

    Published 2022-09-01
    “…Conclusion: Mild TBI accounts for a significant percentage of all injuries presenting to a high-volume referral center in Honduras in 2013. …”
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    Remdesivir in adults with severe COVID-19: a randomised, double-blind, placebo-controlled, multicentre trial. by Wang, Y, Zhang, D, Du, G, Du, R, Zhao, J, Jin, Y, Fu, S, Gao, L, Cheng, Z, Lu, Q, Hu, Y, Luo, G, Wang, K, Lu, Y, Li, H, Wang, S, Ruan, S, Yang, C, Mei, C, Wang, Y, Ding, D, Wu, F, Tang, X, Ye, X, Ye, Y, Liu, B, Yang, J, Yin, W, Wang, A, Fan, G, Zhou, F, Liu, Z, Gu, X, Xu, J, Shang, L, Zhang, Y, Cao, L, Guo, T, Wan, Y, Qin, H, Jiang, Y, Jaki, T, Hayden, FG, Horby, PW, Cao, B, Wang, C

    Published 2020
    “…The primary endpoint was time to clinical improvement up to day 28, defined as the time (in days) from randomisation to the point of a decline of two levels on a six-point ordinal scale of clinical status (from 1=discharged to 6=death) or discharged alive from hospital, whichever came first. …”
    Journal article
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    The Impact of the COVID-19 Pandemic on Wait-Times for Ophthalmic Surgery in Ontario, Canada: A Population-Based Study by Balas M, Vasiliu D, Austria G, Felfeli T

    Published 2023-06-01
    “…Michael Balas,1 Diana Vasiliu,2 Gener Austria,2 Tina Felfeli3– 5 1Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; 2Health System Intelligence Team, Health System Performance & Support Portfolio, Ontario Health, Toronto, ON, Canada; 3Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, ON, Canada; 4Toronto Health Economics and Technology Assessment (THETA) Collaborative, University Health Network, Toronto, ON, Canada; 5The Institute of Health Policy, Management and Evaluation (IHPME), University of Toronto, Toronto, ON, CanadaCorrespondence: Tina Felfeli, Toronto Western Hospital, 399 Bathurst Street, 6-East Room 432, Toronto, ON, M5T 2S8, Canada, Tel +1 647 678 1634, Fax +1 416 340 3459, Email tina.felfeli@mail.utoronto.caObjective: To investigate the effects of the COVID-19 pandemic on case volumes and wait-times for ophthalmic surgery in Ontario, Canada.Design: Population-based retrospective cohort study.Participants: Patients undergoing ophthalmic surgery in Ontario, Canada, from 2010 to 2021, collected from the Ontario Health Wait Times Information System (WTIS) database.Methods: The WTIS contains non-emergent surgical case volume and wait-time data for six ophthalmic subspecialty surgery types, three priority levels (low, medium, high) and 14 different regions in Ontario. …”
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