Spin within systematic review abstracts on antiplatelet therapies after acute coronary syndrome: a cross-sectional study.

Objectives: Spin is a reporting practice in which study results are misrepresented by overestimating efficacy or underestimating harm. Prevalence of spin varies between clinical specialties, and estimates are based almost entirely on clinical trials. Little is known about spin in systematic reviews.

Evaluation of Spin in the Abstracts of Systematic Reviews and Meta-Analyses Focused on Tinnitus.

Hypothesis: The objective was to investigate the prevalence of spin in abstracts of systematic reviews and meta-analyses covering the treatment of tinnitus. We hypothesized that spin would be present in these articles and a significant relationship would exist between spin usage and extracted study characteristics.

Background: Spin, the misrepresentation of study findings, can alter a clinician's interpretation of a study's results, potentially affecting patient care.

Spin the Abstracts of Systematic Reviews and Meta-Analyses Regarding the Treatment of Ménière's Disease.

Objectives: To identify, quantify, and characterize the presence of spin-specific strategies leading to misrepresentation of study results-in the abstracts of systematic reviews and meta-analyses of Ménière's disease treatment.

Methods: Using a cross-sectional design, we searched MEDLINE and Embase on May 28, 2020, for systematic reviews and meta-analyses focused on Ménière's disease treatment. Returned searches were screened, and data were extracted in a masked, duplicate fashion.

Public interest in Cannabis during election season: a Google Trends analysis.

Introduction: Given that 72% of internet users seek out health information using an internet search engine (Google being the most popular); we sought to investigate the public internet search interest in cannabis as a health topic when cannabis legislation appeared on state ballots and during presidential elections.

Materials And Methods: We searched Google Trends for "cannabis" as a health topic. Google Trends data were extracted during the time period of May 1, 2008 to May 1, 2019 for the United States (US) and select states (18) within the US including: Alaska, Arizona, Arkansas, California, Colorado, Florida, Maine, Massachusetts, Michigan, Missouri, Nevada, North Dakota, Ohio, Oregon, Oklahoma, South Dakota, Utah, and Washington when cannabis was on the ballot.

Public Awareness of Cleidocranial Dysplasia After Season Releases of Stranger Things.

This cross-sectional study uses Google Trends and cleidocranial dysplasia–related foundation website data to investigate the association of television portrayals of cleidocranial dysplasia with public interest and awareness of the disorder.

Public Awareness for a Sexual Assault Hotline Following a Grey's Anatomy Episode.

This study examines a rise in telephone calls to the Rape, Abuse, and Incest National Network rape crisis hotline in the wake of an episode of the television show focused on rape and ending with the hotline number.

Using Structural Equation Modeling to Examine the Influence of Social, Behavioral, and Nutritional Variables on Health Outcomes Based on NHANES Data: Addressing Complex Design, Nonnormally Distributed Variables, and Missing Information.

Background: Structural equation modeling (SEM) is a multivariate analysis method for exploring relations between latent constructs and measured variables. As a theory-guided approach, SEM estimates directional pathways in complex models based on longitudinal or cross-sectional data where randomized control trials would either be unethical or cost prohibitive. However, this method is infrequently used in nutrition research, despite recommendations by epidemiologists for its increased use.