Tag: nevin manimala

MedEdPORTAL. 2026 May 19;22:11601. doi: 10.15766/mep_2374-8265.11601. eCollection 2026.

ABSTRACT

INTRODUCTION: Biochemistry is often regarded as conceptually dense yet emotionally disconnected, limiting its relevance to patient care. To bridge this gap, an art-based learning intervention was developed to connect biochemistry of diseases with empathy, perspective-taking, and ethical awareness through visual thinking strategies, structured peer role-play, and guided reflection.

METHODS: This small-group activity was conducted for 150 first-year medical students over a total duration of 180 minutes. Students were divided into 30 groups and each group received a curated artwork and a biochemical role-play case scenario. Evaluation followed Kirkpatrick’s model with a 20-item perception survey and semistructured interviews for level 1 (reaction), postsession assessment, “I used to think, now I think, now I will” reflection, and a 7-item confidence questionnaire for level 2 (learning).

RESULTS: Students reported high levels of engagement across all components, particularly appreciating visual thinking strategies and structured peer role-play. The postsession assessment score was 24.1 (SD = 3.0) out of 30 [P < .001]. Thematic analysis of documented reflections yielded 16 distinct themes representing the shift in learners’ perspectives and their growing commitment to empathic patient care.

DISCUSSION: The integration of art and role-play into early biochemistry teaching effectively supported students in linking molecular mechanism of diseases with human experiences of illness. It also encouraged thoughtful participation and facilitated emotional and ethical awareness. While the approach proved feasible and impactful within this setting, its broader implementation may depend on institutional support and faculty readiness for arts-integrated pedagogy.

PMID:42165068 | PMC:PMC13183865 | DOI:10.15766/mep_2374-8265.11601

Front Psychiatry. 2026 May 5;17:1788310. doi: 10.3389/fpsyt.2026.1788310. eCollection 2026.

ABSTRACT

OBJECTIVE: This meta-analysis evaluated the associations between noise exposure, air pollutants, and attention-deficit/hyperactivity disorder (ADHD) in children, aiming to inform future prevention strategies.

METHODS: Studies were systematically retrieved from CNKI, Wanfang, PubMed, Web of Science, Embase, and the Cochrane Library, covering publications from inception to November 2025. Heterogeneity was assessed using Cochran’s Q test and the I² statistic. Subgroup analyses, meta-regression, and sensitivity analyses were performed to evaluate the robustness of the findings.

RESULTS: Noise exposure was associated with a small increase in ADHD risk (odds ratio [OR] = 1.03, 95% confidence interval [CI]: 1.01-1.05), with stronger associations for childhood exposure, whereas prenatal exposure showed no significant effect. Given the modest effect size, this finding should be interpreted cautiously. Particulate matter (PM_2.5 and PM₁₀) was significantly associated with ADHD in continuous-exposure models-PM_2.5 (OR = 1.32, 95% CI: 1.16-1.50) and PM₁₀ (OR = 1.47, 95% CI: 1.15-1.87). In dichotomous models, PM_2.5 was not significant, while PM₁₀ remained positively associated (OR = 1.58, 95% CI: 1.11-2.26). Elevated nitrogen dioxide (NO₂) exposure was also associated with a modest increase in ADHD risk (OR = 1.11, 95% CI: 1.02-1.20), whereas nitrogen oxides (NO_x), ozone (O₃), and sulfur dioxide (SO₂) did not show significant associations.

CONCLUSIONS: Noise and several air pollutants (PM_2.5, PM₁₀, and NO₂) were significantly associated with increased ADHD risk, particularly during childhood exposure. Other pollutants, including O₃ and SO₂, did not demonstrate significant effects. These findings suggest that environmental noise and several air pollutants may be associated with ADHD; however, some observed associations, particularly for noise and NO₂, were modest in magnitude and should be interpreted cautiously. These results reflect observational associations rather than evidence of a strong or causal effect, while the evidence for some pollutants remains limited or inconclusive. Further research is needed to clarify pollutant-specific associations and the role of exposure timing.

SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/PROSPERO/view/CRD42024593274, identifier CRD42024593274; https://www.crd.york.ac.uk/PROSPERO/view/CRD42025632899, identifier CRD42025632899.

PMID:42165060 | PMC:PMC13185364 | DOI:10.3389/fpsyt.2026.1788310

Front Psychiatry. 2026 May 5;17:1813238. doi: 10.3389/fpsyt.2026.1813238. eCollection 2026.

ABSTRACT

PURPOSE: The COVID-19 pandemic disrupted essential services, posing unique challenges for individuals with Autism Spectrum Disorder (ASD) who depend on consistent, specialized support. Service providers faced unique challenges in adapting to remote delivery methods, highlighting the fragility of existing systems during crises. This study explored the experiences of ASD service providers in Qatar during the COVID-19 pandemic.

METHODS: An online survey of 66 ASD service providers in Qatar was conducted. Data were analyzed using descriptive statistics, chi-square, and likelihood ratio tests, with qualitative responses assessed through thematic analysis.

RESULTS: Most service providers (90.9%) worked remotely during the pandemic, with 81.8% engaging in online services. Providers reported significant skill regression in individuals with ASD. Stress levels were notably high (42.4%) and significantly associated with emotional tolls [p = 0.017, LR = 4.887], financial strains [p = 0.008, LR = 4.337], and personal challenges [p = 0.008, LR = 3.203]. Thematic analysis revealed decreased therapy effectiveness and difficulties in balancing work with family responsibilities.

CONCLUSION: These findings suggest the importance of adaptive service delivery systems that maintain continuity of care during crises. Strengthening autism service infrastructure and developing resilient models are essential to safeguard autism support for future emergencies.

PMID:42165059 | PMC:PMC13183810 | DOI:10.3389/fpsyt.2026.1813238

Integr Pharm Res Pract. 2026 May 15;15:583805. doi: 10.2147/IPRP.S583805. eCollection 2026.

ABSTRACT

BACKGROUND: Effective pharmacist-patient communication is essential for modern pharmaceutical services, relying heavily on optimized communication strategies that are essential for ensuring treatment adherence and overcoming the unique challenges of patient care in multilingual regions.

PURPOSE: This study investigates the perceptions, experiences, and strategies used by community pharmacists in Romania to overcome common communication barriers.

METHODS: The research employed an observational, descriptive, cross-sectional study design, utilizing a self-administered online questionnaire. The data was collected through an anonymous online questionnaire (N=150) administered to patients in eastern Romania. Explicit digital informed consent was obtained. Data analysis involved descriptive statistics, t-tests for independent samples, and Spearman correlation coefficient.

RESULTS: Results indicate the perception of significant barriers, notably differences in educational levels, the use of medical terminology, and time constraints. A negative and significant Spearman correlation (ρ = -0.207, p < 0.001) was found between the perceived effectiveness of communication and the need for service improvement, confirming the detrimental impact of these difficulties on the quality of pharmaceutical services. Furthermore, the average self-assessment score of 2.59 for communication training suggests a predominantly negative perception of both university and continuing education in this area.

CONCLUSION: The conclusions highlight an urgent need to integrate culturally and linguistically adapted communication training into the education of community pharmacists. Future research should focus on developing and evaluating pilot educational programs and interventions specifically tailored for bilingual communities.

PMID:42165040 | PMC:PMC13185963 | DOI:10.2147/IPRP.S583805

Front Endocrinol (Lausanne). 2026 May 5;17:1757107. doi: 10.3389/fendo.2026.1757107. eCollection 2026.

ABSTRACT

This study aimed to investigate how levels of serum follicle-stimulating hormone (FSH) on Day 7 of ovarian stimulation are related to the number of oocytes retrieved, and identify any cutoff or threshold point in protocols using gonadotropin-releasing hormone (GnRH) antagonists. We examined data from January 2017 to June 2024, covering 9,969 cycles from 7,981 patients using GnRH antagonists as part of in vitro fertilization processes. We found a complex link between serum FSH and oocyte collection. Lower serum FSH on Day 7 was associated with collection of fewer oocytes (β = -0.531, p < 0.0001), and different levels were associated with changes in the number of oocytes collected. The key point was 9.13mIU/mL. If serum FSH exceeded 9.13 mIU/mL on Day 7, each 1mIU/mL increase reduced the number of oocytes collected by 0.07 (effect β = -0.07, 95% confidence interval [CI] -0.10 to -0.05, P < 0.0001). When serum FSH was below 9.13 mIU/mL, each 1 mIU/mL rise increased the number of oocytes collected by 1.18 (effect β = 1.18, 95% CI 0.95 to 1.41, P < 0.0001). This association suggests that it may be possible to improve ovarian reaction by raising the FSH dose if serum FSH is under 9.13 mIU/mL. However, if serum FSH is already over 10 mIU/mL, it seems likely that other steps may be needed to increase ovarian reaction, although these hypotheses will need to be tested in future studies.

PMID:42165020 | PMC:PMC13183537 | DOI:10.3389/fendo.2026.1757107

Int Dent J. 2026 May 20;76(4):109636. doi: 10.1016/j.identj.2026.109636. Online ahead of print.

ABSTRACT

PURPOSE: The integration of artificial intelligence (AI) into prosthodontics represents a paradigm shift in the design and fabrication of removable partial dentures (RPDs). This study evaluates the current AI technologies, including large language models such as ChatGPT, Copilot, Gemini, and DeepSeek, for designing RPDs.

METHODS: Standardized prompts were submitted to four AI-assisted systems (ChatGPT, Copilot, Gemini, and DeepSeek) to generate RPD designs for 25 partially edentulous clinical scenarios based on Kennedy classifications. The outputs were compared with reference models (AiDENTAL), a validated retention prediction model, and evaluations by six blinded experts. Statistical comparisons were performed using a mixed-effects ordinal regression model (p < 0.05).

RESULTS: Compared with the reference standards, Copilot and Gemini produced the most consistent and accurate RPD designs, whereas DeepSeek showed the greatest deviation, despite achieving the highest predicted retention scores. Expert evaluations confirmed that AiDENTAL achieved the highest overall design quality, followed by Copilot, whereas ChatGPT and DeepSeek demonstrated lower and more variable performances.

CONCLUSIONS: The design of RPDs using different large language models, including ChatGPT, Copilot, Gemini, and DeepSeek, resulted in notable variations in the design output. AiDENTAL achieved the highest overall RPD design quality, whereas Copilot and Gemini produced the most consistent and accurate designs across all the evaluated criteria.

PMID:42160812 | DOI:10.1016/j.identj.2026.109636

J Craniomaxillofac Surg. 2026 May 20;54(8):104587. doi: 10.1016/j.jcms.2026.104587. Online ahead of print.

ABSTRACT

Anterior disc displacement without reduction of the temporomandibular joint is a prevalent condition associated with pain and functional limitation, and minimally invasive arthroscopic approaches are increasingly favored over open surgery due to lower morbidity. This study compared three arthroscopic interventions: classical myotomy (CM), minimally invasive anterior arthroscopic myotomy (MIAAM), and posterior ligament electrocoagulation (PLE). A total of 86 patients were included: 24 (27.9%) underwent CM, 30 (34.8%) underwent MIAAM, and 32 (37.2%) underwent PLE. Outcomes were assessed using visual analog scale (VAS) pain, maximum mouth opening (MMO), and joint function at baseline and at 1 and 6 months postoperatively. Pain improved significantly over time in all groups (F = 5.02; df = 2; p < 0.05), with no significant differences between techniques. Maximum interincisal opening (MIO) and mandibular protrusion also improved significantly (F = 14.6; df = 2; p < 0.05 and F = 8.949; df = 2; p < 0.05, respectively), again without inter-group differences. MIAAM was associated with faster pain relief at 1 month and slightly better 12-month outcomes, although these differences were not statistically significant. Overall, PLE showed comparatively less favorable results, suggesting MIAAM may represent a balanced option in terms of efficacy and safety.

PMID:42160800 | DOI:10.1016/j.jcms.2026.104587

Clinics (Sao Paulo). 2026 May 20;81:100939. doi: 10.1016/j.clinsp.2026.100939. Online ahead of print.

ABSTRACT

OBJECTIVE: To evaluate the association between lipid profile, statin use, metabolic syndrome, and clinic. Prostate Enlargement (PE) in adult men attending a urology outpatient clinic.

METHODS: A cross-sectional study was conducted among 1117 men aged 40-years or older. Prostate volume was measured by ultrasonography; a volume ≥ 40 mL was considered the threshold for enlargement. Independent variables included lipid fractions, prescription-based statin use, and components of metabolic syndrome. Multivariate logistic regression models were applied, adjusted for age, hypertension, and medication exposure.

RESULTS: The median age was 63-years (IQR: 55-71), and the median prostate volume was 34.0 mL (IQR: 26.0-48.0). Statin use was identified in 36.5% of the sample, and the prevalence of PE was 38.9%. Age was the only factor independently associated with PE (OR = 1.07; 95% CI: 1.05-1.09; p < 0.001). Metabolic syndrome was associated with PE in crude analysis; however, this association lost statistical significance after adjustment for potential confounders.

CONCLUSION: Age was the only independent determinant of prostate enlargement in this metabolically controlled cohort. Lipid parameters and prescription-based statin use showed no adjusted association with prostate volume; however, the lack of detailed statin exposure data warrants cautious interpretation of these findings.

PMID:42160783 | DOI:10.1016/j.clinsp.2026.100939

JMIR Form Res. 2026 May 20;10:e64409. doi: 10.2196/64409.

ABSTRACT

BACKGROUND: Quality of life (QOL) is an important aspect of every chronic disease, including interstitial lung disease (ILD). QOL is perceived as a significant patient-centered outcome.

OBJECTIVE: This study aims to identify factors correlating with different aspects of QOL in patients with various ILDs.

METHODS: We recruited 57 participants hospitalized in a tertiary care clinical center to this pilot observational cross-sectional study. These included 22 patients with idiopathic interstitial pneumonia (IIP), 19 patients with connective tissue disease-associated ILD (CTD-ILD), and 16 patients with interstitial pneumonia with autoimmune features (IPAF). The Saint George’s Respiratory Questionnaire (SGRQ) and World Health Organization Quality of Life Questionnaire (WHOQOL-BREF) were used to assess QOL, and the Hospital Anxiety and Depression Scale – Modified Version (HADS-M) and Patient Health Questionnaire – 9 (PHQ-9) were used to evaluate depression severity. Functional parameters including forced vital capacity (FVC), forced expiratory volume in 1 second (FEV1), transfer lung capacity for carbon monoxide (TLCO), and 6-minute walk distance (6MWD) were assessed. Assessment of QOL was a secondary outcome measure in a multicenter prospective study aimed at determining the characteristics of Polish patients with interstitial pneumonia with autoimmune features.

RESULTS: In each study group, positive correlations existed between the WHOQOL-BREF physical domain score and FEV1 % predicted value (P=.001) and TLCO % predicted value (P=.03). Regardless of diagnosis, higher depression, anxiety, and aggression scores (ie, worse mental health) correlated negatively with multiple domains of QOL measured using the WHOQOL-BREF. Predictors of QOL aspects varied in each study group. In the IPAF group, the TLCO % predicted value was a predictor of QOL expressed as the SGRQ total score (P=.005). In the CTD-ILD group, short 6MWD (P<.001) and high HADS-M aggression score (P=.01) correlated with low QOL (expressed as a high SGRQ total score). In the IIP group, 6MWD (P=.002) and PHQ-9 scores (P<.001) were predictors for SGRQ symptoms score. Gender-based differences were revealed: In all study groups, men had higher scores in the psychological, social, and environmental domains of the WHOQOL-BREF, indicating better QOL, without a statistically significant difference in the physical domain scores between genders. Diagnosis-based differences in the psychological aspects of QOL were also revealed: The QOL psychological domain scores were significantly lower in the CTD-ILD and IPAF groups than in the IIP group, indicating worse QOL (P=.01).

CONCLUSIONS: QOL is a multifaceted issue with various factors impacting its assessment. 6MWD, TLCO predicted value, and worse functional ability might specifically impact QoL in ILD. Mental health is an important aspect of QOL in the ILD population, as patients with a chronic, potentially life-limiting disease may be more prone to developing depression or anxiety. Assessment of QOL should be taken into account in clinical decision-making and research on chronic diseases, as this patient-related outcome may impact therapeutic decisions and patient compliance.

PMID:42160779 | DOI:10.2196/64409

JMIR Public Health Surveill. 2026 May 20;12:e81767. doi: 10.2196/81767.

ABSTRACT

BACKGROUND: Geospatial analysis plays an essential role in informing targeted human immunodeficiency virus (HIV) intervention. The Dai-Jingpo Autonomous Prefecture of Dehong (hereinafter referred to as Dehong), located along the China-Myanmar border in the Yunnan province, has been heavily impacted by HIV infection. Given the complex local epidemic context, particularly frequent cross-border population movement, there is an urgent need to apply spatiotemporal analytical approaches to guiding resource allocation. Existing evidence has demonstrated the substantial spatial variations of newly diagnosed HIV infection this region. However, these spatiotemporal variations have not been fully explored at a finer geographic and temporal resolution.

OBJECTIVE: This study aims to comprehensively investigate the spatiotemporal variations of newly diagnosed HIV infection at a finer scale in this border region to inform targeted interventions.

METHODS: Data on newly diagnosed HIV cases at the township level in Dehong were collected from 2010 to 2022. The rate of newly diagnosis HIV cases was calculated annually. GeoDetector q statistics were performed to assess the spatially stratified heterogeneity of the rate of newly diagnosed HIV cases. The Bayesian space-time hierarchical model was applied to detect the spatiotemporal patterns of newly diagnosed HIV infection across the region.

RESULTS: A total of 5045 newly diagnosed HIV cases were identified in Dehong from 2010 to 2022. The rate of newly diagnosed HIV cases decreased from 57.1 cases per 100,000 population in 2010 to 13.3 cases per 100,000 population in 2022, a decrease of 76.7% over the past 13 years. The overall temporal relative risk decreased from 2.11 (95% CI 1.84-2.41) in 2010 to 0.48 (95% CI 0.40-0.56) in 2022. There was substantial spatiotemporal heterogeneity in the risk of newly diagnosed HIV infection, with townships near the China-Myanmar border having a higher spatial relative risk. Notable spatially stratified heterogeneity in the rate of newly diagnosed HIV cases when stratified by the distance of townships to the China-Myanmar border was observed (q=0.27; P=.004). Among the 51 townships in Dehong, 22 (43.1%) hotspots and 22 (43.1%) coldspots were identified. Notably, in comparison to the overall declining temporal trend, 2 hotspots and 4 coldspots exhibited a slower declining trend, suggesting that these regions may require additional intervention efforts.

CONCLUSIONS: This study comprehensively estimated the spatiotemporal risk of newly diagnosed HIV infection across Dehong, revealing high-risk areas concentrated near the China-Myanmar border. Priority should be given to implementing targeted interventions to control cross-border HIV transmission, including the establishment of cross-border HIV control mechanisms, as well as the strengthening of management measures for cross-border populations. Furthermore, this study offers methodological insights into the use of routine surveillance data and Bayesian spatiotemporal modeling to better understand HIV transmission dynamics at finer geographic scales and to support precision-oriented HIV prevention services.

PMID:42160778 | DOI:10.2196/81767