Artificial Intelligence (AI) tools are used in the academic research, clinical practice and education in medicine. However, few is known on the impact of AI tools used on publication performance of researchers. Purpose: The aim of our study was to explore the level of AI tools use among physicians and relevant disciplines involved in medical research and assess their impact on publication performance. Methods: Anonymous survey study was conducted according to COREQ guidelines. The questionnaire was prepared and distributed among physicians and relevant disciplines involves in medical research using Google survey form, or Adobe document, ‘snow-balling’ is allowed. For statistical analysis we used descriptive statistics and parametric paired t-test or nonparametric Friedman test, according to normality of distribution, were used for comparison of continuous variables before and after AI use. Results: 71 people agreed to participate, with a final group of 51 researchers from 10 countries (Australia, Brazil, Cyprus, Italy, Kazakhstan, Kyrgyzstan, Poland, Russia, Turkey, Ukraine). The participants mean age was 41.7±9.8 years, gender: male 22/43.1%, female 29/54.9%, prefer not to say 1/1.96%. Place of work: University – 19/37.2%, Academic/Teaching hospital – 21/41.17%, Local hospital -6/11.76, Private practice 2/3.92%, Other 2/3.92%, Scientific institution 1/1.96%. Position: Senior researcher /DSc/Senior faculty/full professor – 10/19.6% , PHD degree holder/PostDoc researcher/Junior faculty – 17/33.3%, PhD students – 14/27.4% , Fellows in training /Residents - 5/9.8% Intern - 1/2%, Other - 3/5.9%. Among 51 respondents 43/84.3% use AI and 8/15.7% did not, 33 knew the time for article preparation and 16 had Hirsch index or acquired Hirsch index after AI use. They mainly used: ChatGPT - 35/68.6%, DeepSeek - 12/23.5%, Grammarly - 13/25.4%, Humanize AI - 3/5.88%, other - 6/11.7%. (Fig. 1) Comparison of reported number of publications in indexed journals (SCOPUS, Clarivate, Pubmed) before and after AI use (Table 1) showed significant jncrease in publications after AI use (p< 0.001) and increase in Hirsch index (p=0.017). Conclusions: Our preliminary data showed that almost 71% of surveyed physicians use AI. Among AI tools ChatGPT is used most frequently by almost 76%. The use of AI tools increased quality of publications and academic performance , i.e. number of articles published in indexed SCOPUS, CLARIVATE, PUBMED, MEDLINE journals and increased Hirsch index. The time for preparation of article for publication showed trend to shorten.
Periodontal disease leads to progressive destruction of tooth-supporting tissues. Conventional therapies, such as open flap debridement, control inflammation but provide limited regeneration. Bioactive glass (BG), a bioactive and osteoconductive material, has emerged as a promising regenerative agent in periodontal therapy. This meta-analysis evaluated the clinical efficacy of BG in reducing probing depth (PD) and improving clinical attachment level (CAL) in periodontal lesions. A systematic search of Embase, PubMed, and Cochrane Library up to April 2025 identified randomized controlled trials (RCTs) assessing BG as a standalone intervention for periodontal regeneration. Studies reporting PD and/or CAL outcomes were included. Following Cochrane Collaboration standards, two reviewers independently extracted data and assessed bias risk. Meta-analysis using a random-effects model in RevMan (v5.4) addressed study heterogeneity. Twelve RCTs involving 234 patients and 406 periodontal defects were included. BG significantly improved PD reduction (MD = 1.27 mm; p = 0.0006) and CAL gain (MD = 1.49 mm; p = 0.0005), with moderate-to-high heterogeneity and no significant publication bias. These findings confirm that BG significantly enhances clinical outcomes in periodontal regeneration. Despite variability among studies, BG demonstrates strong potential as an effective regenerative material, warranting further high-quality trials.
To evaluate the safety and efficacy of mesenchymal stromal/stem cell (MSC)–derived extracellular vesicles (EVs) in human clinical trials across immunomodulatory and regenerative indications. Following Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, we systematically searched Web of Science, Scopus, and PubMed (from inception to June 20, 2025) and included 24 interventional trials (n, 536). Meta-analyses estimated pooled proportions of serious adverse events (SAEs) and adverse events (AEs), with subgroup analyses by EV source, engineering status, tissue origin, and administration route. Across diverse conditions—including COVID-19 acute respiratory distress syndrome (ARDS), Crohn’s perianal fistula, osteoarthritis, and skin aging—the pooled SAE rate was 1.0
Home blood pressure variability (HBPV) is transitioning from a niche research interest to a cornerstone in hypertension management. This review addresses the question: How has HBPV research evolved from its foundational stages before 2020 to its current role in clinical practice, what are advancements, clinical relevance strengthened, technologies emerged, and challenges identified during the 2020-2026 period? Non-standardized protocols have historically hindered the field, which now anchors on the evidence-based '722' protocol. Recent research highlights HBPV as a critical predictor of cardiovascular events, stroke, and neurocognitive decline, with novel indices such as the Time in Therapeutic Range and peak home blood pressure identifying high-risk patients. However, while the 2025 AHA/ACC guidelines elevate HBPM to a primary reference role, challenges remain regarding global equity in terms of device access. In conclusion, future efforts should focus on interventional trials to determine whether the specific reduction of HBPV independently improves clinical outcomes.
Background: Bullying during school years is a major global health problem, as adolescents who are bullied have an increased risk of physical, cognitive, and mental health problems, including depression, anxiety, and suicidality. According to UNESCO (2019), 32% of children experienced bullying in the past month, and 7.3% were bullied six or more times. UNICEF (2022) reports that in Kazakhstan, 63% of children have witnessed violence or discrimination, 44% have been victims, and 24% have engaged in such behavior. Rural Kazakhstan presents a unique sociocultural context, where traditional values and limited resources may influence bullying dynamics and stress responses. Aim: To determine the prevalence of bullying roles among adolescents and evaluate their impact on psychological well-being, as well as to explore the role of autonomic reactivity in bullying dynamics. Methods: A cross-sectional study was conducted among 300 adolescents aged 14–16 years from three secondary schools in Alga, Kazakhstan. Participants had no cardiovascular or neurological disorders and provided parental informed consent. Sociometric tests were used to assess bullying roles and classroom climate. Autonomic reactivity was evaluated using the cold pressor test. Results: Victims reported significantly lower levels of peer and teacher support compared to non-victims (2.0% vs. 11.2%). A significant decrease in diastolic blood pressure indicated impaired autonomic reactivity. Overall, 42.3% of adolescents demonstrated disturbances in autonomic regulation, with the most pronounced changes observed in victims, perpetrators, and bystanders. Additionally, adolescents with abnormal BMI were more likely to be involved in bullying, particularly as victims. Conclusion: Bullying roles are associated with differences in autonomic reactivity and psychological well-being. Adolescents involved in bullying, especially victims, are at increased risk of physiological dysregulation and adverse health outcomes. Targeted school-based interventions are needed to address bullying and its health consequences.
