Notes

Goal evaluation involving intuition management disorder throughout sufferers together with Parkinson's ailment utilizing a low-cost LEGO-like EEG headset: any feasibility review.
Also we have put forward certain operating guidelines that might prove helpful for the Ear surgeon during these times. Fresh Triage guidelines mentioned in this article are particularly meant to help ear surgeons reduce the accumulated disease burden in the post lockdown-period with ease and efficacy. Since ear surgery poses a risk of infection to the healthcare workers, specific guidelines pertaining to ear surgery during the pandemic are mentioned in detail which in our opinion can be of immense help to all the healthcare professionals involved in ear procedures till the time the vaccine is administered on a large scale.The previous two articles in this series gave an overview of the methodology of systematic reviews and meta-analysis. In this third and concluding article, we look at the different types of biases that can confound the results of a meta-analysis and briefly describe some special types of meta-analysis.
Artificial intelligence (AI) as a field has recently gained a lot of importance and is expected to revolutionize the health-care scenario in the near future. There have been no studies done worldwide to review the status of research with respect to the use of AI in health care. Hence, we conceptualized this study to get an overview of the clinical studies being conducted in the field of AI, by analyzing those registered on the Food and Drug Administration trial registry website.

All the clinical studies conducted in the field of AI registered on the ClinicalTrials.gov website up to September 2019 were reviewed and analyzed. The variables such as geographical distribution, study design, status of study whether ongoing or completed, therapy area, type of intervention tested, type of funding, and year of initiation of study were recorded. The data were analyzed using descriptive statistics using SPSS for Windows, Version 16.0 (SPSS Inc. Chicago, IL, USA).

Out of all the studies registered, 156 were related to AI. Of these 156 studies, 84 were interventional and 72 were observational. The most common therapy area under study was oncology with 26.3% studies, followed by cardiology, ophthalmology, psychiatry, and neurology. Devices comprised the most common intervention being studied, accounting to 34% of studies, followed by diagnostics which included 28% of studies. selleck In the first 8 months of 2019 itself, 65 studies had been registered.

The study revealed an increasing trend in the studies being conducted using AI techniques, with majority being conducted in the area of oncology, with medical devices being the most common intervention being tested.
The study revealed an increasing trend in the studies being conducted using AI techniques, with majority being conducted in the area of oncology, with medical devices being the most common intervention being tested.
The objective of the study was to compare the maternal and fetal outcomes of currently preferred tenofovir-based regimen with previous zidovudine-based regimen and also to determine whether the time of starting antiretroviral therapy (ART), whether it can affect the pregnancy and fetal outcome.

Pregnant patients prescribed any of the above regimens were followed up every month till delivery and newborns for initial 6 months. Maternal endpoints were body weight, hemoglobin, and CD4 count, whereas fetal endpoints were birth weight, Apgar score, body weight, and HIV status at 6 months. Data were analyzed using ANOVA and unpaired
-test.
<0.05 was considered statistically significant.

A significant increase in CD4 count was observed in patients treated with both the regimens at 12 months as compared to baseline (
< 0.001 and 0.05). Moreover, a significant increase in CD4 count was observed at 12 months as compared to baseline, whether treatment was started before or after the diagnosis of pregnased pregnancy or who were started ART later in antenatal period.
The objective of this study is to evaluate the trigger tool method (TTM) in detection, monitoring, and reporting of adverse drug reactions (ADRs) at Civil Hospital Ahmedabad, India.

A prospective, single-center, observational cum intervention study was conducted in two phases in the Department of Medicine over 15 months. In phase I, preliminary trigger tool list (PTTL) comprising 55 triggers was evaluated by pharmacologist in terms of detection of ADR in 400 patients and then, modified trigger tool list (MTTL) was prepared. In Phase II, the TTM using MTTL was compared with the spontaneous method of ADR monitoring after educational interventions in resident doctors of the two units of medicine department.

Of the 55 triggers in PTTL, 34 triggers were observed in 327 patients, of which 19 triggers lead to the detection of 66 ADRs. The rate of ADEs was 16.5%/100 patients. Positive predictive value (PPV) of each trigger ranged from 0% to 100%. PPV for drug trigger, laboratory trigger, and PT was 14.4%, 4.5%, and 23.3%, respectively. Overall, PPV of PTTL was 19.27%. Sensitivity and specificity were 100% and 21.66%, respectively. MTTL consists of these 19 triggers. In Phase II, resident doctors reported 16 ADRs, using spontaneous method and 23 ADRs using MTTL. The rate of ADEs per 100 patients was 1.63 and 2.13, respectively, with these methods. A total of 105 ADRs were reported during both phases.

TTM is an effective method of ADR reporting if it is utilized by a trained person. This method could be used as add-on method to spontaneous method to improve ADR reporting.
TTM is an effective method of ADR reporting if it is utilized by a trained person. This method could be used as add-on method to spontaneous method to improve ADR reporting.
The development of a new chemical entity into a drug is of indispensable importance for the progression of health care. As physicians play the main and important part of any clinical trial, it is necessary to know about their awareness about clinical research, drug development, good clinical practices, and regulatory authorities.

This study was designed to assess and compare the knowledge and awareness toward drug development process among medical interns, dental interns, and postgraduates (PGs).

This was a cross-sectional study enrolling 186 professionals of medical college and 110 professionals of dental college in Punjab who were given a prevalidated questionnaire that included 27 questions related to knowledge regarding drug development process. Data were analyzed for percentage correct responses, mean values, and intergroup comparison by applying
-test using SPSS version 20, IBM SPSS Statistics for Windows, Version 20.0. IBM Corp., Armonk, NY, USA.

It was found that medical and dental college professionals had a very poor awareness and knowledge about drug development process to the tune of 33%.
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