Re-Imagining Machine Learning in Dental Research: A Lesson Learned from the COVID-19 Pandemic

At this time, humankind is experiencing on a global scale a frightening infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As of September 25, 2020, more than 32.3 million cases have been reported in 188 countries, resulting in more than 984,000 official reported deaths.[1],[2] During the course of human history, there have been several pandemics, for example, plague and smallpox. However, one of the main differences between COVID-19 and previous pandemics is the availability of computer-based technologies. Paralleling the global growth of COVID-19, studies using computer-based technologies have emerged (e.g., machine learning) to fight against SARS-CoV-2

Do Open Access Dental Articles Enjoy Higher Altmetric Attention Scores, Twitter, Facebook, News, Wikipedia, Blog mentions, Mendeley Readers and Citations?

In order to access articles published in conventional (non-open access) journals, scientists must utilize tools such as subscriptions, site licenses or pay-per-view charges. In contrast, open access articles can be accessed without financial, legal or technical barriers. A large-scale study estimated that at least 28% of the academic literature is open access (19 million in total) and that this percentage is growing.[1] A recent survey showed an open access rate in field of dentistry at 45.8%.[2] It has been demonstrated that open access articles had 8% to 40% higher citations compared to non-open access articles; this has been termed, “open access citation advantage”.[3],[4],[5

Towards a proposal for assessment of blinding success in clinical trials: up-to-date review

The CONSORT statement recommended that investigators should clearly report which key trial persons were blinded to treatment allocation and test for the success of blinding. Clinical researchers, however, more often than not overlook the assessment of the success of blinding. The severe under-reporting on the success of blinding may improve with awareness of existing quantitative methods. The two statistical methods, James' blinding index (BI) and Bang's BI, are currently available. Subjects could be asked to guess their treatment assignment, possibly with an option to express the degree of certainty. Assessments of blinding at various points may serve different purposes, i.e. to evaluate comparability between experimental versus control treatments before the trial by the third party; to examine further comparability and credibility of the control treatment and patients' expectation about treatment received in early stage of the trial, and to summarize the overall maintenance of the blinding success at the end of the trial. In this article, we review BIs and how to use these methods along with discussion of other issues in blinding assessment and reporting. We contend the two BIs that were independently developed but carry complementary properties would characterize blinding behaviours in clinical trials qualitatively as well as quantitatively, and may also shed some lights on the interpretation of the study findings. Finally we urge the Item 11b of the CONSORT statement to be revised to require the assessment/reporting of blinding success for all trials that adopt blinding schemes

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Science map of Cochrane systematic reviews receiving the most altmetric attention score: a network analysis

The present study aimed to analyze and visualize the science map of Cochrane systematic reviews (CSRs) with high Altmetric attention score (AAS). On 2020-07-29, the altmetric data of the Cochrane Database of Systematic Reviews were obtained from the Altmetric database (Altmetric LLP, London, UK). Bibliometric data of the top 5% AAS of CSRs were extracted from the Web of Science. Keyword co-occurrence, co-authorship and co-citation network analyses were then employed using VOSviewer software. The random forest model was used to rank the importance of the altmetric resource. A total of 11222 CSRs with AAS were found (Total mentions: 305265), with Twitter being the most popular Altmetric resource. Consequently, the top 5% AAS (649 articles, mean AAS: 204.95, 95% confidence level: 18.95, mean citations: 123.68, 95% confidence level: 13.9) were included. Density mapping revealed female, adult and child as the most popular author keywords. According to network visualization, Helen V. Worthington (University of Manchester, Manchester, UK), the University of Oxford and UK had the greatest impact on the network at the author, organization and country levels respectively. AAS were weekly correlated with citations (rs=0.21) although citations were moderately correlated with policy document and blog mentions (rs=0.46 and rs=0.43). Cochrane systematic reviews received high levels of online attention, particularly in the Twittersphere and mostly from the UK. However, CSRs were rarely publicized and discussed using recently developed academic tools, such as F1000 prime, Publons and PubPeer

Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BackgroundDisorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021.MethodsWe estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined.FindingsGlobally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378–521), affecting 3·40 billion (3·20–3·62) individuals (43·1%, 40·5–45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7–26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6–38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5–32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7–2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer.InterpretationAs the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed

Real-time monitoring of cariogenic bacteria via bioluminescent imaging: A biodontic hypothesis

Introduction: Dental caries (tooth decay) remains one of the most common chronic infectious disease in the world. Disclosure of camouflaged cariogenic bacteria will be a great motivation for better oral hygiene. The Hypothesis: At present, lux transposon cassette, Tn4001 luxABCDE Kmr, is available that could be used for stable bioluminescent transformation of a wide range of gram-positive bacteria, e.g. Streptococcus mutans and Lactobacillus. After this step, sensitive charge-coupled device (CCD) camera could be used to detect the low levels of light emitted from bioluminescent cariogenic bacteria. Living imaging software would be used for analysis and three-dimensional (3D) reconstruction of images. Evaluation of the Hypothesis: Entrance of transgenic organisms into the oral cavity should be done with great caution. Ethical consideration is necessary and primary animal studies are required. The main limitation of this technique will be oxygen. As mentioned previously, bioluminescent reactions need oxygen. Hence, bioluminescent imaging cannot be used for anaerobic bacteria, e.g., Streptococcus sobrinus