Fake news or weak science? Visibility and characterization of anti-vaccine webpages returned by Google in different languages and countries

The 1998 Lancet paper by Wakefield et al , despite subsequent retraction and evidence indicating no causal link between vaccinations and autism, triggered significant parental concern. The aim of this study was to analyse the online information available on this topic. Using localized versions of Google, we searched “autism vaccine” in English, French, Italian, Portuguese, Mandarin and Arabic and analyzed 200 websites for each search engine result page (SERP). A common feature was the newsworthiness of the topic, with news outlets representing 25-50% of the SERP, followed by unaffiliated websites (blogs, social media) that represented 27-41% and included most of the vaccine-negative websites. Between 12% and 24% of websites had a negative stance on vaccines, while most websites were pro-vaccine (43-70%). However, their ranking by Google varied. While in Google.com the first vaccine-negative website was the 43rd in the SERP, there was one vaccine-negative webpage in the top 10 websites in both the British and Australian localized versions and in French and two in Italian, Portuguese and Mandarin, suggesting that the information quality algorithm used by Google may work better in English. Many webpages mentioned celebrities in the context of the link between vaccines and autism, with Donald Trump most frequently. Few websites (1-5%) promoted complementary and alternative medicine (CAM) but 50-100% of these were also vaccine-negative suggesting that CAM users are more exposed to vaccine-negative information. This analysis highlights the need for monitoring the web for information impacting on vaccine uptake

Iodine deficiency disorders among pregnant women in Sarawak, Malaysia

Introduction Iodine deficiency disorders (IDD) during pregnancy may impair the neurological development of the fetus. The aim of this study is to determine the iodine status among pregnant women (PW) in Sarawak after introduction of mandatory universal salt iodisation (USI) for seven years. Methods A total of 508 first trimester PW attending government Maternal and Child Health Care clinics in all 11 divisions in Sarawak between 1st April and 15th June 2015 were recruited. Urine samples were obtained and analysed for urinary iodine concentration (UIC) using the modified Sandell-Kolthoff reaction method. For pregnant women, an adequate iodine intake was defined as a median UIC between 150-249 μg/L according to the WHO/UNICEF/ICCIDD’s criterion. For further analyses, the 11 divisions were then combined into 3 regions, namely Northern (Miri, Bintulu, Limbang), Central (Kapit, Mukah, Sibu, Sarikei, Betong) and Southern (Kota Samarahan, Kuching, Sri Aman). Results The median UIC of the PW in Sarawak was 105.6 μg/L, indicating iodine deficiency. A total of 330 (65.0%) PW had UIC<150 μg/L. In terms of urinary iodine levels by region, the median UIC in Northern, Central and Southern regions were 136.3 μg/L, 85.5 μg/L and 97.4 μg/L respectively. The differences in median UIC between regions were significant. In addition, the Northern region (p = 0.001), Malay/Melanau ethnicity (p = 0.015) and parous parity (p = 0.014) were significantly associated with higher median UIC. No significant association was found for locality, age nor gravida. Conclusions This study indicates inadequate iodine status among PW in Sarawak despite seven years of mandatory USI. In fact, the majority of PW appear not to be protected against IDD and its consequences. In future, a comprehensive study should be carried out to determine the levels of iodine in salt at the retail outlets, villages and households in Sarawak

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery

Health professions digital education on clinical practice guidelines: a systematic review by Digital Health Education collaboration

Background:Clinical practice guidelines are an important source of information, designed to help clinicians integrate research evidence into their clinical practice. Digital education is increasingly used for clinical practice guideline dissemination and adoption. Our aim was to evaluate the effectiveness of digital education in improving the adoption of clinical practice guidelines. Methods:We performed a systematic review and searched seven electronic databases from January 1990 to September 2018. Two reviewers independently screened studies, extracted data and assessed risk of bias. We included studies in any language evaluating the effectiveness of digital education on clinical practice guidelines compared to other forms of education or no intervention in healthcare professionals. We used the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach to assess the quality of the body of evidence. Results:Seventeen trials involving 2382 participants were included. The included studies were diverse with a largely unclear or high risk of bias. They mostly focused on physicians, evaluated computer-based interventions with limited interactivity and measured participants’ knowledge and behaviour. With regard to knowledge, studies comparing the effect of digital education with no intervention showed a moderate, statistically significant difference in favour of digital education intervention (SMD = 0.85, 95% CI 0.16, 1.54; I2 = 83%, n = 3, moderate quality of evidence). Studies comparing the effect of digital education with traditional learning on knowledge showed a small, statistically non-significant difference in favour of digital education (SMD = 0.23, 95% CI − 0.12, 0.59; I2 = 34%, n = 3, moderate quality of evidence). Three studies measured participants’ skills and reported mixed results. Of four studies measuring satisfaction, three studies favoured digital education over traditional learning. Of nine studies evaluating healthcare professionals’ behaviour change, only one study comparing email-delivered, spaced education intervention to no intervention reported improvement in the intervention group. Of three studies reporting patient outcomes, only one study comparing email-delivered, spaced education games to non-interactive online resources reported modest improvement in the intervention group. The quality of evidence for outcomes other than knowledge was mostly judged as low due to risk of bias, imprecision and/or inconsistency. Conclusions:Health professions digital education on clinical practice guidelines is at least as effective as traditional learning and more effective than no intervention in terms of knowledge. Most studies report little or no difference in healthcare professionals’ behaviours and patient outcomes. The only intervention shown to improve healthcare professionals’ behaviour and modestly patient outcomes was email-delivered, spaced education. Future research should evaluate interactive, simulation-based and spaced forms of digital education and report on outcomes such as skills, behaviour, patient outcomes and cost.Published versio

Neurophobia among family medicine specialist trainees in Malaysia

Background: Neurophobia is defined as the fear of neural sciences and clinical neurology. Our study aims to determine the prevalence and factors associated with neurophobia among family medicine specialist trainees in Malaysia. Methods: A cross-sectional study was conducted among family medicine specialist trainees. Multiple logistic regression analysis was used to determine the factors associated with neurophobia. Results: A total of 415 subjects were enrolled into this study. The prevalence of neurophobia was 66% (n=274/415). In multivariate logistic regression analysis, having poor knowledge in neurology (odds ratio [OR] 3.85, 95% confidence interval [CI] 1.87-7.94), those with self-declared phobia toward neurology or neuroscience subject (OR 2.56 95% CI 1.30-5.03); those whose practice were in government sector (OR 1.78, 95% CI 1.09-2.88); those who perceived basic neuroscience (OR 1.95, 95% CI 1.03-3.67) and the complex clinical examination were important (OR 2.10, 95% CI 1.19-3.72); and those who perceived textbooks were not a useful method of learning (OR 1.78, 95% CI 1.05-3.02) were more prone to have neurophobia. Conclusion: Two-thirds of family medicine specialist trainees in Malaysia found neurology a difficult subject. Among the factors associated with neurophobia were those with poor knowledge in neurology, and those who self-declared to have phobia toward neurology or neuroscience subject

Characteristics of pulmonary artery strain assessed by cardiovascular magnetic resonance imaging and associations with metabolomic pathways in human ageing

BackgroundPulmonary artery (PA) strain is associated with structural and functional alterations of the vessel and is an independent predictor of cardiovascular events. The relationship of PA strain to metabolomics in participants without cardiovascular disease is unknown.MethodsIn the current study, community-based older adults, without known cardiovascular disease, underwent simultaneous cine cardiovascular magnetic resonance (CMR) imaging, clinical examination, and serum sampling. PA global longitudinal strain (GLS) analysis was performed by tracking the change in distance from the PA bifurcation to the pulmonary annular centroid, using standard cine CMR images. Circulating metabolites were measured by cross-sectional targeted metabolomics analysis.ResultsAmong n = 170 adults (mean age 71 ± 6.3 years old; 79 women), mean values of PA GLS were 16.2 ± 4.4%. PA GLS was significantly associated with age (β = −0.13, P = 0.017), heart rate (β = −0.08, P = 0.001), dyslipidemia (β = −2.37, P = 0.005), and cardiovascular risk factors (β = −2.49, P = 0.001). Alanine (β = −0.007, P = 0.01) and proline (β = −0.0009, P = 0.042) were significantly associated with PA GLS after adjustment for clinical risk factors. Medium and long-chain acylcarnitines were significantly associated with PA GLS (C12, P = 0.027; C12-OH/C10-DC, P = 0.018; C14:2, P = 0.036; C14:1, P = 0.006; C14, P = 0.006; C14-OH/C12-DC, P = 0.027; C16:3, P = 0.019; C16:2, P = 0.006; C16:1, P = 0.001; C16:2-OH, P = 0.016; C16:1-OH/C14:1-DC, P = 0.028; C18:1-OH/C16:1-DC, P = 0.032).ConclusionBy conventional CMR, PA GLS was associated with aging and vascular risk factors among a contemporary cohort of older adults. Metabolic pathways involved in PA stiffness may include gluconeogenesis, collagen synthesis, and fatty acid oxidation

Datasheet1_Characteristics of pulmonary artery strain assessed by cardiovascular magnetic resonance imaging and associations with metabolomic pathways in human ageing.docx

BackgroundPulmonary artery (PA) strain is associated with structural and functional alterations of the vessel and is an independent predictor of cardiovascular events. The relationship of PA strain to metabolomics in participants without cardiovascular disease is unknown.MethodsIn the current study, community-based older adults, without known cardiovascular disease, underwent simultaneous cine cardiovascular magnetic resonance (CMR) imaging, clinical examination, and serum sampling. PA global longitudinal strain (GLS) analysis was performed by tracking the change in distance from the PA bifurcation to the pulmonary annular centroid, using standard cine CMR images. Circulating metabolites were measured by cross-sectional targeted metabolomics analysis.ResultsAmong n = 170 adults (mean age 71 ± 6.3 years old; 79 women), mean values of PA GLS were 16.2 ± 4.4%. PA GLS was significantly associated with age (β = −0.13, P = 0.017), heart rate (β = −0.08, P = 0.001), dyslipidemia (β = −2.37, P = 0.005), and cardiovascular risk factors (β = −2.49, P = 0.001). Alanine (β = −0.007, P = 0.01) and proline (β = −0.0009, P = 0.042) were significantly associated with PA GLS after adjustment for clinical risk factors. Medium and long-chain acylcarnitines were significantly associated with PA GLS (C12, P = 0.027; C12-OH/C10-DC, P = 0.018; C14:2, P = 0.036; C14:1, P = 0.006; C14, P = 0.006; C14-OH/C12-DC, P = 0.027; C16:3, P = 0.019; C16:2, P = 0.006; C16:1, P = 0.001; C16:2-OH, P = 0.016; C16:1-OH/C14:1-DC, P = 0.028; C18:1-OH/C16:1-DC, P = 0.032).ConclusionBy conventional CMR, PA GLS was associated with aging and vascular risk factors among a contemporary cohort of older adults. Metabolic pathways involved in PA stiffness may include gluconeogenesis, collagen synthesis, and fatty acid oxidation.</p