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| http://dx.doi.org/10.1016/j.jacr.2020.10.012 | DOI Listing |
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Risk of bias assessment tools often addressed items not related to risk of bias and used numerical scores.
J Clin Epidemiol
January 2025
Division of Nephrology and Hypertension, Department of Internal Medicine, University of Kansas Medical Centre, 3901 Rainbow Blvd, MS3002, Kansas City, KS, USA. Electronic address:
Objective: We aimed to determine whether the existing risk of bias assessment tools addressed constructs other than risk of bias or internal validity, and whether they used numerical scores to express quality, which is discouraged and may be a misleading approach.
Methods: We searched Ovid MEDLINE and Embase to identify quality appraisal tools across all disciplines in human health research. Tools designed specifically to evaluate reporting quality were excluded.
Do you have depression? A summative content analysis of mental health-related content on TikTok.
Digit Health
January 2025
Department of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, BC, Canada.
Background: TikTok is a global social media platform with over 1 billion active users. Presently, there are few data on how TikTok users navigate the platform for mental health purposes and the content they view.
Objective: This study aims to understand the patterns of mental health-related content on TikTok and assesses the accuracy and quality of the advice and information provided.
The use of public spatial databases in risk analysis: A US-oriented tutorial.
Risk Anal
January 2025
Cox Associates, LLC, Denver, Colorado, USA.
This tutorial focuses on opportunities and challenges associated with using six large, publicly accessible spatial databases published during the last decade by US federal agencies. These databases provide opportunities for researchers to risk-inform policy by comparing community asset, demographic, economic, and social data, along with anthropogenic and natural hazard data at multiple geographic scales. The opportunities for data analysis come with challenges, including data accuracy, variations in the shape and size of data cells, spatial autocorrelation, and other issues endemic to spatial datasets.
View Article and Find Full Text PDFBending the Curve: Institutional Factors Associated with Graduation Rates.
High Educ Policy
June 2024
Department of Sociology, The Graduate School and University Center of the City University of New York.
For decades, educators and policy makers have decried low graduation rates at U.S. colleges, advocating policies and making investments to improve graduation.
View Article and Find Full Text PDFCausal language and inferences in observational rotator cuff database studies published from 2013 to 2022.
J Orthop
July 2025
Department of Orthopaedic Surgery, Virginia Commonwealth University, 1250 E. Marshall Street, Richmond, VA, 23219, USA.
Background: The use of large multi-institutional databases in rotator cuff repair (RCR) research is expanding, but these studies are observational and cannot establish causation. This study examines the prevalence of causal language in clinical RCR database studies published from 2013 to 2022.
Methods: Administrative database and clinical registry studies on RCR published in eight orthopaedic journals from 2013 to 2022 were systematically identified and graded by two reviewers for the presence, absence, or inconsistent use of causal language in both the title/abstract and the full text.
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