Are paid tools worth the cost? A prospective cross-over study to find the right tool for plagiarism detectionBackground: 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.
PeRinatal, neOnatal, and Maternal OuTcomEs with azithromycin prophylaxis in pregnancy and labour (PROMOTE-PROPHYLAXIS): systematic review and meta-analysisBackground: Initial randomised controlled trials (RCTs) showed that prophylactic azithromycin in pregnant women improved maternal and neonatal outcomes; however, the recent evidence did not show any benefit to neonatal survival. There is conflicting evidence over the role of azithromycin prophylaxis in antenatal and intrapartum periods. We explored whether azithromycin prophylaxis in pregnant women improves maternal and neonatal outcomes. Methods: For this systematic review and meta-analysis registered on PROSPERO [CRD42023411093], we searched seven databases (PubMed, Scopus, Embase, Cochrane Library, EBSCOHost, ProQuest, and Web of Science) and clinical trial registries until 04/23/2024, for RCTs evaluating antenatal/intrapartum azithromycin prophylaxis against placebo/routine care in pregnant women. The primary outcome was neonatal mortality. Intrapartum and antenatal administration were assessed separately. We used random-effects meta-analysis. The risk of bias was assessed using the Cochrane RoB 2 tool. The GRADE approach was used to evaluate the certainty of the evidence. Findings: = 0%, low certainty]. There is no data on long-term adverse outcomes and antimicrobial resistance. Interpretation: Low to very low certainty evidence suggests that intrapartum or antenatal azithromycin prophylaxis in pregnant women might not reduce maternal or neonatal mortality. Funding: None.
Molecular and Functional Significance of Growth Differentiation Factor-15: A Review on Cardiovascular-Kidney-Metabolic BiomarkerCardiovascular-kidney-metabolic (CKM) syndrome is the association between obesity, diabetes, CKD (chronic kidney disease), and cardiovascular disease. GDF-15 mainly acts through the GFRAL (Glial cell line-derived neurotrophic factor Family Receptor Alpha-Like) receptor. GDF-15 and GDFRAL complex act mainly through RET co-receptors, further activating Ras and phosphatidylinositol-3-kinase (PI3K)/Akt pathways through downstream signaling. GDF-15 decreases cardiac dysfunction and hypertrophy by inducing HIF-α (hypoxia-inducible factor-1α). It causes increased fractional shortening and a significant decrease in ventricular dilation through the induction of the SMAD 2/3. GDF-15 prevents hyperglycemia-induced apoptosis in diabetes mellitus. GDF-15 causes anorexia by influencing the central systems regulating metabolism and appetite. Therefore, targeting GDF-15 can be useful for the treatment of anorexia caused by cancer as well as the prevention of resulting weight loss. GDF-15 has an important role in predicting mortality in acute kidney injury. Its high levels are related to eGFR decline and also have a prognostic role in CKD patients. Growth differentiation factor-15 (GDF-15) is a vital biomarker for diagnosis, treatment, and prognosis of CKM syndrome. Elevated GDF-15 levels can be utilised as a biomarker to determine the suitable metformin dosage. In light chain amyloidosis, a raised level of GDF-15 predicts early death in heart failure and renal disease patients. In vivo, studies using GDF-15 analogs and antibodies against GFRAL to affect metabolic parameters and ventricular dilatation have shown potential for GDF-15-based therapeutic interventions. This review aims to study the role of GDF-15 in CKM syndrome and establish it as a CKM biomarker.
Minocycline in depression not responding to first-line therapy: A systematic review and meta-analysisBACKGROUND: 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).
Tomato Flu- A Review on Existing ScenarioAswini Saravanan, Abhishek Anil, Gitashree Dutta et al.|International Journal of Pharmaceutical Sciences Review and Research|2022 Tomato flu is an infectious disease caused by an unexplained virus. The main symptoms of the infection are tomato-shaped blisters all over the body which enlarges to resemble the shape of a tomato, therefore being named as ‘Tomato flu’. Most commonly affects children below the age of 5 years. Tomato flu is considered a “Hand, Foot and Mouth disease”. The clinical manifestation of most cases is mild. It is a self-limiting infection; which gets resolved on its own in 7-10 days. The diagnosis is based on the clinical history and physical examination, especially in regions where there are outbreaks. This infectious disease etiological agent, its treatment regimen, and vaccination stills remain unknown and is a crucial area of research at present. COVID-19 has taught us lessons for outbreak preparedness and management of cases in emergency conditions by repurposing drugs and vaccines which is also synonymously being tried to curb the condition at present situation.