Over 30% of Systematic Reviews and Meta-analyses Focused on Rotator Cuff Tear Treatments Contained Spin in the Abstract.

PURPOSE: The purpose of this study is to determine the prevalence of spin in the abstracts of systematic reviews and meta-analyses on treatments for rotator cuff tears and whether various study and publishing journal characteristics were associated with the presence of spin. METHODS: A search strategy was developed for Ovid MEDLINE and Ovid Embase to retrieve systematic reviews focused on treatments for rotator cuff tears. For an article to be included, it must meet the following criteria: (1) the article must be a systematic review with or without a meta-analysis, (2) the article must pertain to the treatment of rotator cuff tears, (3) the article must only contain human subjects, and (4) the article must be accessible in English. Systematic reviews were analyzed for spin using a previously developed classification scheme in a masked, duplicate manner. Binary logistic regression was used to examine independent associations via unadjusted odds ratios and 95% confidence intervals between the presence of spin and study characteristics. RESULTS: Search queries returned 932 articles, of which 121 systematic reviews and meta-analyses were eligible. A total of 36.4% (44/121) of systematic reviews contained spin. Among the general characteristics evaluated, there were no correlations with spin. CONCLUSIONS: Spin was present in more than one-third of systematic reviews and meta-analyses covering rotator cuff tear treatments. Spin was not associated with any general study or journal characteristics, which indicates that clinicians must be aware of the potential presence of spin in all such abstracts. CLINICAL RELEVANCE: Clinicians rely on systematic reviews and meta-analyses, especially abstracts of these articles, to provide succinct guidance on best practices in patient care. The presence of spin could adversely affect patient care; thus, steps should be taken to improve the reporting quality of abstracts on rotator cuff tear treatment.

An analysis of Google Trends following athletic injuries by high profile NBA players during the 2019 NBA finals.

CONTEXT: Injuries are common among high profile players in the National Basketball Association (NBA), and could provide an opportunity for physicians to provide accurate sports injury information and reliable rehabilitation data to the general public in the immediate aftermath. OBJECTIVES: To evaluate social media trends to investigate public interest in athletic injuries in the NBA and to evaluate the length of maintained interest in these injuries. METHODS: The Google Trends tool was used to analyze search data around two high profile players-Kevin Durant and Klay Thompson-who suffered injuries during the 2019 NBA Finals. The results were compared to the expected search forecast derived from an autoregressive integrated moving algorithm model. RESULTS: Both players were associated with a mean increase of 1,052.4% (standard deviation [SD], 703.96%) in relative search volumes for terms related to their injuries. This data showed a significant increase in search engine activity related to injuries associated with NBA players in the first 6.13 days (SD, 3.14 days) following the injuries, marking a substantial timeframe for public engagement. CONCLUSIONS: Search traffic information may be beneficial to the sports medicine community, as social media can provide a platform for patient education in a limited timeframe. By increasing patient awareness and knowledge regarding athletic injuries, social media can expand the pool of potential patients for physicians and surgeons.