Context On December 1, 2020, Drs. Wolfgang Wodarg and Micheal Yeadon petitioned to withhold emergency use authorization of the BNT162b2 messenger ribonucleic acid vaccine for coronavirus disease 2019 (COVID-19) manufactured by BioNTech and Pfizer, raising concern for female infertility risks but acknowledging the lack of evidence. The European Medicines Agency and the US Food and Drug Administration ultimately issued emergency use authorizations, but misinformation claiming that COVID-19 vaccines cause female infertility began circulating on social media, potentially influencing public perception and medical decision making among pregnant patients or those seeking to become pregnant. Objectives To determine the potential influence misinformation may have had on public interest in infertility related topics, as analyzed through internet search statistics in the US. Methods The Google Trends tool was used to analyze results for the search terms “infertility,” “infertility AND vaccine,” and “infertility AND COVID vaccine” in the US from February 4, 2020 to February 3, 2021. We applied autoregressive integrated moving average models to forecast expected values, comparing them with actual observed values. Results At peak interest (100), the forecasted relative search volumes interest for the search terms “infertility,” “infertility AND vaccine,” and “infertility AND COVID vaccine” were 45.47 (95% CI, 33.27–57.66; p<0.001), 0.88 (95% CI, 2.87–4.63; p<0.001), and 0.29 (95% CI, −2.25–2.82; p<0.001). The actual relative search volumes at peak searching represented 119.9, 11,251, and 34,900% increases, respectively, when compared with forecasted values. Conclusions COVID-19 vaccine misinformation corresponded with increased internet searches for topics related to infertility in the US. Dispelling misinformation and informing patients about the risks and benefits of COVID-19 vaccination may prevent unnecessary vaccine hesitancy or refusal, contributing to successful vaccination efforts.
Background Spin is defined as the misrepresentation of a study’s results, which may lead to misperceptions or misinterpretation of the findings. Spin has previously been found in randomized controlled trials and systematic reviews of acne vulgaris treatments and treatments of various nondermatological conditions. Objective The purpose of this study was to quantify the presence of spin in abstracts of systematic reviews and meta-analyses of melanoma therapies and identify any related secondary characteristics of these articles. Methods We used a cross-sectional approach on June 2, 2020, to search the MEDLINE and Embase databases from their inception. To meet inclusion criteria, a study was required to be a systematic review or meta-analysis pertaining to the treatment of melanoma in human subjects, and reported in English. We used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) definition of systematic reviews and meta-analyses. Data were extracted in a masked, duplicate fashion. We conducted a powered bivariate linear regression and calculated odds ratios for each study characteristic. Results A total of 200 systematic reviews met the inclusion criteria. We identified spin in 38% (n=76) of the abstracts. The most common type of spin found was type 3 (selective reporting of or overemphasis on efficacy outcomes or analysis favoring the beneficial effect of the experimental intervention), occurring 40 times; the least common was type 2 (title claims or suggests a beneficial effect of the experimental intervention not supported by the findings), which was not present in any included abstracts. We found that abstracts pertaining to pharmacologic interventions were 3.84 times more likely to contain spin. The likelihood of an article containing spin has decreased annually (adjusted odds ratio 0.91, 95% CI 0.84-0.99). No significant correlation between funding source or other study characteristics and the presence of spin was identified. Conclusions We have found that spin is fairly common in the abstracts of systematic reviews of melanoma treatments, but the prevalence of spin in these abstracts has been declining from 1992-2020.
BACKGROUND Spin is defined as the misrepresentation of a study’s results, which may lead to misperceptions or misinterpretation of the findings. Spin has previously been found in randomized controlled trials and systematic reviews of acne vulgaris treatments and treatments of various non-dermatological conditions. OBJECTIVE The purpose of this study was to quantify the presence of spin in abstracts of systematic reviews and meta-analyses of melanoma therapies and identify any related secondary characteristics of these articles. METHODS e used a cross-sectional approach on June 2, 2020, to search the MEDLINE and Embase databases from their inception. To meet inclusion criteria, a study was required to be a systematic review or meta-analysis pertaining to the treatment of melanoma in human subjects, and reported in English. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA) definition of systematic reviews and meta-analyses. Data were extracted in a masked, duplicate fashion. We conducted a powered bivariate linear regression and calculated odds ratios for each study characteristic. RESULTS A total of 200 systematic reviews met the inclusion criteria. We identified spin in 38% of the abstracts. The most common type of spin found was type 3, occurring 40 times; the least common was type 2, which was not present in any included abstracts. We found that abstracts pertaining to pharmacologic interventions were 3.84 times more likely to contain spin than the reference group. The likelihood of an article containing spin has decreased annually (AOR: 0.91; 95% CI, 0.84-0.99). No significant correlation between funding source, other study characteristics, and the presence of spin was identified. CONCLUSIONS We have found that spin is fairly common in the abstracts of systematic reviews of melanoma treatments, but is improving.
Objectives: To quantify the presence of conflicts of interest (COI) in SRs and MAs of Ménières disease treatment and identify any related secondary characteristics of these articles. Methods: A search was conducted on May 28, 2020 to search MEDLINE and Embase databases for SRs or MAs pertaining to Ménières disease published between September 1, 2016 and June 2, 2020. A risk of bias assessment was performed using the Cochrane Collaboration risk of bias assessment criteria. Results: A total of 13 systematic reviews conducted by 49 authors met the inclusion criteria. Of the 49 authors, 7 (14.3%) were found to have some form of COI. Of these 7 authors, 1 (14.3%) completely disclosed all COI within the SR, 1 (14.3%) disclosed one or more COI but were found to have an additional undisclosed COI, and 5 (71.4%) were found to have only undisclosed COI. One of 2 industry funded SRs (50%) had a high risk of bias, and 1 (50%) of the non-industry sponsored SRs were found to have a high risk of bias. Conclusions: Overall authors of SRs pertaining to Ménières disease appear to be properly disclosing COI at higher rates than other fields of medicine; however, further room for improvement has been noted.
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