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  1. Article ; Online: "Rule out appendicitis": a Canadian emergency radiology perspective on medicolegal risks, imaging pitfalls, and strategies to improve care.

    Treanor, Lee / Drury, Anne / Egri, Csilla / Barrett, Sarah

    Emergency radiology

    2024  Volume 31, Issue 2, Page(s) 239–249

    Abstract: We provide a unique Canadian perspective on the medicolegal risks associated with imaging acute appendicitis, incorporating data requested from the Canadian Medical Protective Association (CMPA) on closed medicolegal cases over the past decade. We ... ...

    Abstract We provide a unique Canadian perspective on the medicolegal risks associated with imaging acute appendicitis, incorporating data requested from the Canadian Medical Protective Association (CMPA) on closed medicolegal cases over the past decade. We include a review of current clinical and imaging guidelines in the diagnosis and management of this common emergency room presentation. A case-based approach is implemented in this article to explore ways to mitigate potential errors in the diagnosis of acute appendicitis.
    MeSH term(s) Humans ; Appendicitis/diagnostic imaging ; Canada ; Radiology ; Diagnosis, Differential ; Emergency Service, Hospital ; Acute Disease
    Language English
    Publishing date 2024-02-16
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1425144-9
    ISSN 1438-1435 ; 1070-3004
    ISSN (online) 1438-1435
    ISSN 1070-3004
    DOI 10.1007/s10140-024-02214-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 4880: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: Assessing the reading level of online resources on COVID-19.

    Treanor, Lee / Radonjic, Aleksandar

    Canadian journal of public health = Revue canadienne de sante publique

    2020  Volume 111, Issue 4, Page(s) 484–485

    MeSH term(s) COVID-19 ; Comprehension ; Consumer Health Information/statistics & numerical data ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Health Literacy ; Humans ; Internet ; Pandemics/prevention & control ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/prevention & control
    Keywords covid19
    Language English
    Publishing date 2020-06-25
    Publishing country Switzerland
    Document type Letter
    ZDB-ID 417262-0
    ISSN 1920-7476 ; 0008-4263
    ISSN (online) 1920-7476
    ISSN 0008-4263
    DOI 10.17269/s41997-020-00363-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.B 81: Show issues Location:
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  3. Article ; Online: Assessing the readability of online resources for psoriasis treatment.

    Radonjic, Aleksandar / Treanor, Lee

    Dermatologic therapy

    2019  Volume 32, Issue 6, Page(s) e13138

    MeSH term(s) Comprehension ; Consumer Health Information/standards ; Health Literacy ; Humans ; Internet ; Psoriasis
    Language English
    Publishing date 2019-11-06
    Publishing country United States
    Document type Letter
    ZDB-ID 1354801-3
    ISSN 1529-8019 ; 1396-0296
    ISSN (online) 1529-8019
    ISSN 1396-0296
    DOI 10.1111/dth.13138
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 5181: Show issues Location:
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  5. Article ; Online: The Cochrane Systematic Review on Thoracic Imaging Tests for the Diagnosis of COVID-19.

    Treanor, Lee / Islam, Nayaar / Ebrahimzadeh, Sanam / McInnes, Matthew

    Radiology

    2021  Volume 299, Issue 3, Page(s) E289

    MeSH term(s) COVID-19 ; Diagnostic Tests, Routine ; Humans ; Lung ; SARS-CoV-2 ; Tomography, X-Ray Computed
    Language English
    Publishing date 2021-03-23
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.2021210564
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Ue I Zs.106: Show issues Location:
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  6. Article ; Online: GV1001 Inhibits the Severity of the Ligature-Induced Periodontitis and the Vascular Lipid Deposition Associated with the Periodontitis in Mice.

    Kim, Sharon Y / Kim, Yun-Jeong / Kim, Suyang / Momeni, Mersedeh / Lee, Alicia / Treanor, Alexandra / Kim, Sangjae / Kim, Reuben H / Park, No-Hee

    International journal of molecular sciences

    2023  Volume 24, Issue 16

    Abstract: GV1001, a 16 amino acid peptide derived from the catalytic segment of human telomerase reverse transcriptase, was developed as an anti-cancer vaccine. Subsequently, it was found to exhibit anti-inflammatory and anti-Alzheimer's disease properties. ... ...

    Abstract GV1001, a 16 amino acid peptide derived from the catalytic segment of human telomerase reverse transcriptase, was developed as an anti-cancer vaccine. Subsequently, it was found to exhibit anti-inflammatory and anti-Alzheimer's disease properties. Periodontitis is a risk factor for a variety of systemic diseases, including atherosclerosis, a process in which chronic systemic and vascular inflammation results in the formation of plaques containing lipids, macrophages, foam cells, and tissue debris on the vascular intima. Thus, we investigated the effect of GV1001 on the severity of ligature-induced periodontitis, vascular inflammation, and arterial lipid deposition in mice. GV1001 notably reduced the severity of ligature-induced periodontitis by inhibiting gingival and systemic inflammation, alveolar bone loss, and vascular inflammation in wild-type mice. It also significantly lowered the amount of lipid deposition in the arterial wall in
    MeSH term(s) Humans ; Animals ; Mice ; Endothelial Cells ; Arteries ; Periodontitis ; Inflammation ; Cancer Vaccines ; Vaccines, Subunit ; Atherosclerosis
    Chemical Substances Cancer Vaccines ; Vaccines, Subunit
    Language English
    Publishing date 2023-08-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms241612566
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Assessing the reading level of online resources on COVID-19

    Treanor, Lee / Radonjic, Aleksandar

    Canadian Journal of Public Health

    2020  Volume 111, Issue 4, Page(s) 484–485

    Keywords Public Health, Environmental and Occupational Health ; General Medicine ; covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ZDB-ID 417262-0
    ISSN 0008-4263
    ISSN 0008-4263
    DOI 10.17269/s41997-020-00363-w
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 81: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  8. Article ; Online: Digital pathology access and usage in the UK: results from a national survey on behalf of the National Cancer Research Institute's CM-Path initiative.

    Williams, Bethany Jill / Lee, Jessica / Oien, Karin A / Treanor, Darren

    Journal of clinical pathology

    2018  Volume 71, Issue 5, Page(s) 463–466

    Abstract: Aim: To canvass the UK pathology community to ascertain current levels of digital pathology usage in clinical and academic histopathology departments, and prevalent attitudes to digital pathology.: Methods: A 15-item survey was circulated to National ...

    Abstract Aim: To canvass the UK pathology community to ascertain current levels of digital pathology usage in clinical and academic histopathology departments, and prevalent attitudes to digital pathology.
    Methods: A 15-item survey was circulated to National Health Service and academic pathology departments across the UK using the SurveyMonkey online survey tool. Responses were sought at a departmental or institutional level. Where possible, departmental heads were approached and asked to complete the survey, or forward it to the most relevant individual in their department. Data were collected over a 6-month period from February to July 2017.
    Results: 41 institutes from across the UK responded to the survey. 60% (23/39) of institutions had access to a digital pathology scanner, and 60% (24/40) had access to a digital pathology workstation. The most popular applications of digital pathology in current use were undergraduate and postgraduate teaching, research and quality assurance. Investigating the deployment of digital pathology in their department was identified as a high or highest priority by 58.5% of institutions, with improvements in efficiency, turnaround times, reporting times and collaboration in their institution anticipated by the respondents. Access to funding for initial hardware, software and staff outlay, pathologist training and guidance from the Royal College of Pathologists were identified as factors that could enable respondent institutions to increase their digital pathology usage.
    Conclusion: Interest in digital pathology adoption in the UK is high, with usage likely to increase in the coming years. In light of this, pathologists are seeking more guidance on safe usage.
    MeSH term(s) Attitude of Health Personnel ; Attitude to Computers ; Diagnosis, Computer-Assisted/methods ; Diagnosis, Computer-Assisted/statistics & numerical data ; Humans ; Image Interpretation, Computer-Assisted/methods ; Image Interpretation, Computer-Assisted/statistics & numerical data ; Ownership ; Pathology, Clinical/education ; Pathology, Clinical/methods ; Practice Patterns, Physicians' ; Predictive Value of Tests ; Software ; Surveys and Questionnaires ; Time Factors ; United Kingdom ; Workflow
    Language English
    Publishing date 2018-01-09
    Publishing country England
    Document type Journal Article
    ZDB-ID 80261-x
    ISSN 1472-4146 ; 0021-9746
    ISSN (online) 1472-4146
    ISSN 0021-9746
    DOI 10.1136/jclinpath-2017-204808
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Ud II Zs.139: Show issues Location:
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  9. Article ; Online: Tweeting Bias in Diagnostic Test Accuracy Research: Does Title or Conclusion Positivity Influence Dissemination?

    Hallgrimson, Zachary / Fabiano, Nicholas / Salameh, Jean-Paul / Treanor, Lee M / Frank, Robert A / Sharifabadi, Anahita Dehmoobad / McInnes, Matthew D F

    Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes

    2021  Volume 73, Issue 1, Page(s) 49–55

    Abstract: Purpose: To examine if tweeting bias exists within imaging literature by determining if diagnostic test accuracy (DTA) studies with positive titles or conclusions are tweeted more than non-positive studies.: Methods: DTA studies published between ... ...

    Abstract Purpose: To examine if tweeting bias exists within imaging literature by determining if diagnostic test accuracy (DTA) studies with positive titles or conclusions are tweeted more than non-positive studies.
    Methods: DTA studies published between October 2011 to April 2016 were included. Positivity of titles and conclusions were assessed independently and in duplicate, with disagreements resolved by consensus. A negative binomial regression analysis controlling for confounding variables was performed to assess the relationship between title or conclusion positivity and tweets an article received in the 100 days post-publication.
    Results: 354 DTA studies were included. Twenty-four (7%) titles and 300 (85%) conclusions were positive (or positive with qualifier); 1 (0.3%) title and 23 (7%) conclusions were negative; and 329 (93%) titles and 26 (7%) conclusions were neutral. Studies with positive, negative, and neutral titles received a mean of 0.38, 0.00, and 0.45 tweets per study; while those with positive, negative, and neutral conclusions received a mean of 0.44, 0.61, and 0.38 tweets per study. Regression coefficients were -0.05 (SE 0.46) for positive relative to non-positive titles, and -0.09 (SE 0.31) for positive relative to non-positive conclusions. The positivity of the title (
    Conclusions: The positivity of the title or conclusion for DTA studies does not influence the amount of tweets it receives suggesting that tweet bias is not present among imaging diagnostic accuracy studies. Study protocol available at https://osf.io/hdk2m/.
    MeSH term(s) Bibliometrics ; Diagnostic Imaging/statistics & numerical data ; Humans ; Information Dissemination ; Publication Bias/statistics & numerical data ; Reproducibility of Results ; Social Media/statistics & numerical data
    Language English
    Publishing date 2021-04-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 418190-6
    ISSN 1488-2361 ; 0846-5371 ; 0008-2902
    ISSN (online) 1488-2361
    ISSN 0846-5371 ; 0008-2902
    DOI 10.1177/08465371211006420
    Database MEDical Literature Analysis and Retrieval System OnLINE

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