Targeting self-care adherence for glycaemic control in multimorbid type 2 diabetes mellitus with depression using bupropion: a protocol for cross-over randomised controlled trial.

INTRODUCTION: Diabetes and depression are among the 10 biggest health burdens globally. They often coexist and exhibit a strong bidirectional relationship. Depression leads to decreased adherence to self-care activities. This impacts glycaemic control and worsens type 2 diabetes mellitus (T2D). Both conditions have a synergistic effect and lead to greater complications, hospitalisations, healthcare expenditure and a worse quality of life. There is no consensus on managing people with comorbid T2D and depression. Bupropion is an efficacious antidepressant with many properties suitable for T2D with depression, including a favourable metabolic profile, persistent weight loss and improvement in sexual dysfunction. We will assess the efficacy and safety of add-on bupropion compared with standard care in people with T2D and mild depression. This study can give valuable insights into managing the multimorbidity of T2D and depression. This can help mitigate the health, social and economic burden of both these diseases. RESEARCH DESIGN AND METHODS: This cross-over randomised controlled trial will recruit people with T2D (for 5 years or more) with mild depression. They will be randomised to add-on bupropion and standard care. After 3 months of treatment, there will be a washout period of 1 month (without add-on bupropion while standard treatment will continue). Following this, the two arms will be swapped. Participants will be assessed for glycosylated haemoglobin, adherence to diabetes self-care activities, lipid profile, urine albumin-to-creatinine ratio, autonomic function, sexual function, quality of life and adverse events. ETHICS AND DISSEMINATION: The Institutional Ethics Committee at All India Institute of Medical Sciences, Jodhpur has approved this study (AIIMS/IEC/2022/4172, 19 September 2022). We plan to disseminate the research findings via closed group discussions at the site of study, scientific conferences, peer-reviewed published manuscripts and social media. TRIAL REGISTRATION NUMBER: CTRI/2022/10/046411.

Evaluation of Utility of Invasive Electroencephalography for Definitive Surgery in Patients with Drug-Resistant Epilepsy: A Systematic Review and Meta-Analysis.

When noninvasive tests are unable to define the epileptogenic zone in patients, intracranial electroencephalography (iEEG) is a method of localizing the epileptogenic zone. Compared with noninvasive evaluations, it offers more precise information about patterns of epileptiform activity, which results in useful diagnostic information that supports surgical decision-making. The primary aim of the present study was to assess the utility of iEEG for definitive surgery for patients with drug-resistant epilepsy. Online databases such as PubMed, Medline, Embase, Scopus, Cochrane Library, Web of Science, and IEEE Xplore were searched for MeSH terms and free-text keywords. The ROBINS I (risk of bias in non-randomized studies - of interventions) critical appraisal tool was used for quality assessment. The prevalence from different studies was pooled together using the inverse variance heterogeneity method. Egger's regression analysis and funnel plot were used to evaluate publication bias. The systematic review included 18 studies, and the meta-analysis included 10 studies to estimate the prevalence of seizure freedom (Engel class I) in patients undergoing surgery after iEEG. A total of 526 patients were included in the meta-analysis. The follow-up period ranged from 1 to 10 years. The overall pooled estimate of the prevalence of seizure freedom (Engel class I) for patients undergoing surgery after iEEG was 53% (95% confidence interval, 44%-62%). The results additionally demonstrated that 12 studies had a moderate risk of bias and 6 had a low risk. Future studies are crucial to enhance our understanding of iEEG to guide patient choices and unravel their implications.

COVISHIELD vaccine-induced thyroiditis: a case report.

BACKGROUND: The rapid development of coronavirus disease 2019 vaccines during the pandemic has left their long-term effects largely unknown. Instances of autoimmune and subacute thyroiditis showing features of autoimmune/inflammatory syndrome induced by adjuvants have been reported post-vaccination. This case report aims to highlight the autoimmune/inflammatory syndrome induced by adjuvants syndrome after coronavirus disease 2019 vaccination, drawing attention to a possible connection with thyroid dysfunction and urging for further thorough research. CASE PRESENTATION: We present a case of thyroiditis induced by the COVISHIELD vaccine in a 37-year-old Indian woman. An apparently normal and healthy adult woman developed neck pain and easy fatigability 2 weeks after the second dose of COVISHIELD, which gradually increased and was associated with irritability, decreased sleep, excessive sweating, tremor, palpitation, and weight loss. She presented to the outpatient department after 1 week of symptoms and was evaluated with laboratory tests and imaging. She was diagnosed with thyroiditis due to the coronavirus disease 2019 vaccine and was treated with propranolol. CONCLUSION: This case report adds to the growing evidence of coronavirus disease 2019 vaccine-related thyroid issues. The development of thyroiditis is rare and underreported post-coronavirus disease 2019 vaccination; hence, research to evaluate the association of coronavirus disease 2019 vaccines with thyroid dysfunction needs to be done in the future.

Minocycline in depression not responding to first-line therapy: A systematic review and meta-analysis.

BACKGROUND: Major depressive disorder is often resistant to first-line treatment, with around 30% failing to respond to traditional therapy. Treatment-resistant depression results in prolonged hospitalization and healthcare costs. Anti-inflammatory drugs have shown promising results in depression not responding to initial therapy. Minocycline has anti-inflammatory properties and crosses the blood-brain barrier. It has demonstrated varied results in several randomized controlled trials (RCTs). METHODS: We assessed the efficacy of minocycline compared to placebo in depression not responding to one first-line antidepressant via a systematic review and meta-analysis. We performed a comprehensive literature search across PubMed, Cochrane, and Scopus for RCTs. We visualized the results using forest plots and drapery plots. We assessed and explored heterogeneity using I2, prediction interval, and meta-regression. Then, we rated the certainty of the evidence. RESULTS: Four RCTs revealed a non-significant difference in depression severity [-3.93; 95% CI: -16.14 to 8.28], rate of response [1.15; 0.33-4.01], and rate of remission [0.94; 0.44-2.01]. However, the reduction in depression severity is significant at a trend of P < .1. The high between-study heterogeneity (I2 = 78%) for depression severity could be answered by meta-regression (P = .02) for the duration of therapy. CONCLUSION: There is no significant difference with minocycline compared to placebo for depression not responding to first-line antidepressant therapy. However, the treatment response varies with treatment duration and patients' neuroinflammatory state. Thus, larger and longer RCTs, especially in diverse disease subgroups, are needed for further insight. This is needed to allow greater precision medicine in depression and avoid elevated healthcare expenditure associated with hit-and-trial regimens. REGISTRATION: CRD42023398476 (PROSPERO).

Are paid tools worth the cost? A prospective cross-over study to find the right tool for plagiarism detection.

Background: The increasing pressure to publish research has led to a rise in plagiarism incidents, creating a need for effective plagiarism detection software. The importance of this study lies in the high cost variation amongst the available options for plagiarism detection. By uncovering the advantages of these low-cost or free alternatives, researchers could access the appropriate tools for plagiarism detection. This is the first study to compare four plagiarism detection tools and assess factors impacting their effectiveness in identifying plagiarism in AI-generated articles. Methodology: A prospective cross-over study was conducted with the primary objective to compare Overall Similarity Index(OSI) of four plagiarism detection software(iThenticate, Grammarly, Small SEO Tools, and DupliChecker) on AI-generated articles. ChatGPT was used to generate 100 articles, ten from each of ten general domains affecting various aspects of life. These were run through four software, recording the OSI. Flesch Reading Ease Score(FRES), Gunning Fog Index(GFI), and Flesch-Kincaid Grade Level(FKGL) were used to assess how factors, such as article length and language complexity, impact plagiarism detection. Results: The study found significant variation in OSI(p < 0.001) among the four software, with Grammarly having the highest mean rank(3.56) and Small SEO Tools having the lowest(1.67). Pairwise analyses revealed significant differences(p < 0.001) between all pairs except for Small SEO Tools-DupliChecker. Number of words showed a significant correlation with OSI for iThenticate(p < 0.05) but not for the other three. FRES had a positive correlation, and GFI had a negative correlation with OSI by DupliChecker. FKGL negatively correlated with OSI by Small SEO Tools and DupliChecker. Conclusion: Grammarly is unexpectedly most effective in detecting plagiarism in AI-generated articles compared to the other tools. This could be due to different softwares using diverse data sources. This highlights the potential for lower-cost plagiarism detection tools to be utilized by researchers.