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Comparative effectiveness of game-based learning modalities in nursing and medical education: a systematic review and Bayesian network meta-analysis.

BACKGROUND: Game-based learning (GBL) is increasingly used in healthcare education, but educators must choose among diverse modalities (e.g., quiz platforms, apps, serious games and metaverse environments). Comparative evidence on which modalities perform best across learning domains (knowledge, attitudes, and practice) remains limited. AIM: To compare the effects of distinct GBL modalities on knowledge, attitudes, and practice outcomes in nursing and medical education and to explore whether comparative effects differ by learner group (pre-licensure students and in-service professionals). DESIGN: PRISMA-NMA-aligned systematic review and Bayesian network meta-analysis. METHODS: We searched eight databases and trial registries through September 2, 2024, for randomized controlled trials comparing GBL with traditional teaching (TT). Outcomes were transformed to a 0-100 scale and analysed as change from baseline in Bayesian consistency models; random-effects models were selected using deviance information criterion (DIC). Risk of bias was assessed using RoB 2. We report mean differences (MDs) with 95% credible intervals (CrIs) versus TT, ranking probabilities, and subgroup NMAs by learner group. RESULTS: Thirty-one RCTs (n = 3439) were included; 15 contributed complete data to the network. Risk of bias was low in 15 trials and raised some concerns in 16. The network was modest for knowledge (11 trials) and sparse for attitudes (3) and practice (4). Compared with TT, metaverse-based learning showed improved attitudes (MD 15; 95% CrI 12 to 18), based on a single trial. For knowledge and practice, Kahoot-based quizzes (MD 9.1; 95% CrI -8.9 to 27) and app-based learning (MD 4.6; 95% CrI -4.4 to 14) had the highest estimated mean improvements, but credible intervals were wide and included the null for most comparisons. Subgroup rankings differed by learner group, but several comparisons were imprecise and uncertainty was substantial, particularly in sparse networks. CONCLUSIONS: GBL modalities may improve learning outcomes compared with TT, but relative effects appear domain-specific and the certainty of rankings is limited by sparse evidence and imprecision. Future trials should prioritise head-to-head comparisons, robust outcome measurement, and longer-term retention and transfer outcomes in both student and in-service populations.

Humans

Artificial intelligence-supported double reading in European population breast cancer screening: A systematic review and meta-analysis of prospective programs.

BACKGROUND: Most European population mammography screening programs rely on double reading with arbitration, a model that delivers mortality benefit but is increasingly challenged by radiologist workload, variable specificity, and interval cancers. Artificial intelligence (AI) is being evaluated to support or optimize these established European screening pathways. PURPOSE: To synthesize prospective or program-embedded evaluations of AI conducted within European-style population screening programs and to estimate exploratory program-level absolute risk differences (RDs) per 1000 examinations for cancer detection rate (CDR) and recall. MATERIALS AND METHODS: We performed a prespecified, focused evidence synthesis of three large studies embedded within routine population screening programs operating under European-relevant workflows: MASAI (randomized AI-supported risk triage within a national program), ScreenTrustCAD (prospective paired-reader evaluation with AI as an independent reader in a double-reading framework), and PRAIM (nationwide decision-referral implementation). Outcomes were harmonized as AI-control RDs per 1000 examinations. Random-effects pooling used Hartung-Knapp-Sidik-Jonkman models. For the paired-reader design, sensitivity analyses applied a Kish effective sample-size approach across plausible within-examination correlations (ρ = 0.3-0.8). Positive predictive value (PPV) and workflow/time outcomes were summarized descriptively. RESULTS: Across 597,419 examinations, the pooled CDR RD was +0.9 per 1000 (95% CI -0.0 to +1.8; I2 ≈ 12%), consistent with a modest directional increase with borderline statistical uncertainty. The pooled recall RD was -0.6 per 1000 (95% CI -3.1 to +2.1; I2 ≈ 41-43%), indicating no consistent recall increase across screening programs. Where reported, PPV was higher with AI-supported screening. Efficiency signals included 44.3% fewer total readings in MASAI and shorter reading times for AI-normal examinations in PRAIM; in PRAIM, a program-level safety-net mechanism recovered 204 cancers that would otherwise have been missed. CONCLUSION: In European population screening programs characterized by double reading and arbitration, prospective program-embedded evidence suggests that AI integration may yield a small absolute increase in cancer detection (≈1/1000) without a consistent increase in recall, alongside improved PPV and efficiency signals. These findings suggestAI primarily as a complementary reader within European screening workflows, with implementation requiring explicit quality assurance and monitoring of interval cancers and stage distribution.

Humans

Micro- and nanoplastics-induced neurotoxicity: a CNS-centered, evidence-graded adverse outcome pathway framework based on systematic weight-of-evidence assessment.

Micro- and nanoplastics (MPs/NPs) are ubiquitous anthropogenic particulate pollutants posing emerging threats to human neurological health. Severe heterogeneity in particle physicochemical properties, environmental aging status, exposure paradigms and experimental platforms has created persistent mechanistic uncertainties in MP/NP neurotoxicology, hindering reliable hazard characterization and risk translation. Here, we systematically consolidate empirical toxicological evidence and construct a dedicated central nervous system (CNS)-targeted adverse outcome pathway (AOP) network integrated with rigorous weight-of-evidence (WoE) grading to elucidate the hierarchical, particle-specific toxic cascades underlying MP/NP-induced neural injury. Our synthesis overturns the conventional linear toxicity paradigm, demonstrating that MPs/NPs trigger neurotoxicity via a complex multi-input mechanistic network. We definitively establish oxidative stress as a robust early convergent key event-rather than a universal molecular initiating event-orchestrating ROS overproduction, lipid peroxidation, mitochondrial dysfunction, and neuroinflammation to propagate neuronal damage. This core module is driven by five distinct particulate upstream triggers: particle-biomolecule interfacial perturbation, corona-facilitated cellular internalization, plastic-associated chemical leaching, aging-derived free radical reactivity, and gut-borne systemic neurotoxic signaling. Downstream pathogenic outcomes encompass glial overactivation, neurotransmitter dyshomeostasis, autophagy-lysosome dysfunction, metabolic reprogramming, regulated neuronal cell death, and behavioral impairments. Tiered WoE analysis confirms strong validation for early oxidative/inflammatory cascades, moderate support for gut-brain axis crosstalk and intracellular trafficking disruption, and nascent evidence for synaptic dysfunction and neurodegeneration-linked proteostatic defects. Extrapolation to human health risk remains constrained by the frequent use of high-dose exposure paradigms, limited validated data on internal dosimetry in the human brain, discrepancies between effective concentrations in experimental models and environmentally relevant human tissue burdens, and insufficient causal validation of distal adverse outcomes. We highlight key research priorities including aged mixed-particle exposure systems, leachate-controlled assays, quantitative internal dose evaluation, and mechanistic intervention verification. This evidence-stratified AOP framework resolves longstanding mechanistic ambiguities in particulate neurotoxicity, providing a standardized, causality-based foundation for future mechanistic exploration and health risk assessment of global plastic pollution.

Adverse outcome pathway

Qualitative evidence of service user experiences and perspectives on long-acting injectable buprenorphine for opioid treatment - a scoping review.

BACKGROUND: There is substantial literature on opioid treatment program (OTP) formulations and how they relate to the pharmacotherapy service user experience. As a newer formulation, less is known about service user experiences of long-acting injectable buprenorphine (LAIB). The aim of this scoping review is to map the qualitative evidence and gaps in the literature on service user experiences and perspectives of LAIB. METHODS: Our search strategy included Medline, Embase, PsycINFO, CINAHL, Scopus and Web Science, and citation chaining, from January 2016 to June 2025. Studies were included if reporting qualitative descriptions of LAIB service user experiences of treatment for opioid dependence, inclusive of qualitative, mixed methods (description of qualitative data only), case reports and English language. Articles were screened by two reviewers. A living experience first author led the analysis using inductive coding and thematic analysis, to produce a descriptive summary of synthesised findings alongside key study characteristics and quality appraisal, adhering to the Systematic reviews and Meta-Analysis for Scoping Reviews (PRISMA-ScR) checklist. RESULTS: After screening 838 titles/abstracts and reviewing 150 full texts, 40 studies met the eligibility criteria. All were conducted in high income countries, principally the US (n=12); Australia (n=10); and England and Wales (n=9). We identified five themes: Navigating LAIB treatment; Embodied and relational effects of LAIB; Impact and role of the service provider; Narratives of harm reduction and recovery; Stigma and criminalisation. LAIB was commonly experienced as increasing convenience, stability and freedom from daily supervised dosing, enabling improved work, travel, privacy and social participation. Reduced clinic/dosing contact often lessened enacted stigma and treatment burden. However, experiences were heterogenous. Some participants described injection-site discomfort, uncertainty about dose adequacy, reduced flexibility once injected, and ambivalence about LAIB effects. There was inconsistency in LAIB service user reports on service connection, isolation and psychosocial support. Treatment experiences were strongly shaped by provider practices. CONCLUSIONS: Findings underscore the need for integrated, flexible, harm-reduction oriented and person-centred LAIB treatment models that prioritise choice, autonomy and therapeutic relationships to maximise benefit for service users. However, evidence of LAIB service user experiences is concentrated in high-income countries, and the absence of perspectives from low- and middle-income country settings represents a substantial gap in the evidence base.

LAIB

An exploratory analysis of decision-making in population affinity estimation among forensic anthropology practitioners in the United States.

Population affinity estimation in forensic anthropology often involves the integration of multiple pieces of information, including visual (nonmetric) and metric data. This study examines how practitioners interpret and synthesize visual and metric information and their decision-making processes. A Qualtrics survey was developed using two cases: Case 1 presented clear nonmetric signal but ambiguous metric signal, while Case 2 showed more ambiguous nonmetric signal but clear metric signal. Practitioners were asked to estimate population affinity based on visual assessment, Fordisc data, and provide a final, integrated assessment. A total of 22 valid survey responses were received, with the majority of survey respondents reporting more than 10 years of forensic anthropology experience and holding a PhD degree. Results showed that there is substantial variability in Fordisc use and interpretation. Across both cases, participants synthesized conflicting visual and metric information, converged toward the stronger signal, and came to more consistent final estimates relative to the more ambiguous input. These findings highlight variability in practitioner decision-making but suggest that integration of nonmetric and metric information in population affinity estimation can moderate decision-making uncertainty. The results have implications for forensic anthropology education, training, and proficiency testing.

Humans

Portable metagenomics for preventive surveillance and outbreak control in livestock and poultry: Pathogen detection, resistome profiling, and antimicrobial stewardship.

Conventional diagnostics for livestock and poultry outbreaks commonly rely on culture or targeted PCR panels, which may be too slow or too narrow to guide early control decisions. Portable metagenomics, particularly real-time nanopore sequencing, offers a route to broad pathogen detection, antimicrobial-resistance gene profiling, and outbreak investigation within an integrated workflow. This implementation-focused review evaluates how near-point-of-care metagenomics may support preventive veterinary medicine through earlier detection, surveillance, cohorting, biosecurity decisions, and antimicrobial stewardship. We synthesize sample-to-answer workflows for enteric and respiratory disease in food-producing animals, including sampling, nucleic-acid extraction, host depletion or target enrichment, library preparation, sequencing, bioinformatics, quality control, and interpretation. Applications in calf diarrhea, bovine respiratory disease, poultry outbreaks, mastitis, and resistome monitoring are considered alongside the central limitation that detection alone does not establish causation. Pathogen and resistance-gene signals must therefore be interpreted with clinical signs, lesions, epidemiology, controls, and confirmatory testing. We also propose a minimum reporting checklist, intended as a practical framework rather than a validated consensus standard. Portable metagenomics is not a replacement for conventional diagnostics, but appropriately validated workflows can reduce uncertainty during time-sensitive outbreaks and support more judicious antimicrobial use.

Animals

A systematic review of international/national guidelines for the management of nasopharyngeal carcinoma: Convergence and divergence of recommendations.

Increasing numbers of clinical practice guidelines have been published by international/national groups for nasopharyngeal carcinoma (NPC), providing valuable references for clinicians in making evidence-based decisions on treatment. However, there are substantial discrepancies in various recommendations, leading to uncertainties in choosing the optimal strategies. The authors systematically searched databases and organizational websites for NPC guidelines published between January 2000 and November 2025. All identified guidelines underwent quality appraisal; in total, 26 clinical practice guidelines rated recommended for use were included. The recommendations covering all management aspects (diagnosis, staging, radiotherapy, systemic therapy, follow-up surveillance, biomarkers, and salvage of recurrent/metastatic diseases) were summarized and comparatively analyzed for consistency and disparities. Strong consensus exists for diagnostic workup, staging systems, and induction chemotherapy plus concurrent chemoradiotherapy for advanced disease, whereas marked disparities exist on radiotherapy details, particularly target volume delineation, elective coverage extent, and dose specifications. Although systemic therapy strategies for different stage groups were mostly consistent, substantial disparities exist in alternative options and treatment details. This first comprehensive systematic synthesis of international NPC guidelines provides a practical reference for clinicians to understand all recommendations and select optimal options based on local resources and expertise while identifying current controversies that demand future research for further standardization and harmonization.

Humans

Effectiveness of exercise-based prehabilitation on pre and postoperative outcomes of patients undergoing cardiac surgery-An umbrella review of systematic reviews.

AIMS: Individuals undergoing cardiac surgery are becoming older, frailer, and less mobile. Prehabilitation has shown to improve postoperative outcomes by optimizing preoperative physical function. This umbrella review aims to pool the systematic reviews assessing the effectiveness of exercise-based prehabilitation in cardiac surgery. METHODS AND RESULTS: The review followed the PRIOR checklist. PubMed, Embase, CINAHL, Cochrane library, Scopus, Web of science, ProQuest NAHD, ProQuest HMC, Open Grey and MedNar were searched using relevant keywords from inception to 16th December, 2024. Two reviewers screened and extracted data from the included reviews and assessed primary study overlap with the corrected covered area. Methodological quality of the reviews was evaluated with the A MeaSurement Tool to Assess systematic Reviews-2 scale. Certainty of evidence was assessed using a previously developed criteria for overview of reviews. Six systematic reviews with 30 unique trials and 6705 participants were included. The interventions assessed included breathing exercises, inspiratory muscle training, and exercise training. Prehabilitation reduced length of hospital stay, postoperative pulmonary complications, and clinically improved functional capacity with a very low to moderate certainty of evidence. However, there was uncertainty regarding the effects pertaining to adverse events and quality of life. The methodological quality of all reviews was critically low. The primary trials scored poorly in the domains of selection and detection bias. CONCLUSION: Exercise-based prehabilitation might reduce length of hospital stay and postoperative complications, and improve functional capacity. However, the quality of evidence is poor, and individual discretion is required before implementing them into practice. REGISTRATION: PROSPERO: CRD42023480100.

Humans

Redefining the real problem in psychedelic trials: Why fighting the Lessebo matters more than blinding integrity.

Imperfect blinding is not specific to psychedelic trials. In randomized trials, treatment allocation is frequently correctly guessed, yet blinding integrity is rarely assessed outside of psychedelic research and is generally not considered a barrier in regulatory evaluation. The intense debate in psychedelics may reflect a broader double standard affecting mental health research, when uncertainties arising from imperfect blinding are confounded by those linked to patient-reported outcome measures. Indeed, people living with mental disorders are often viewed as unreliable reporters, despite well-documented limitations of clinician-rated scales and the absence of robust biological markers of symptomatic change. Importantly, it is the maintenance of reasonable doubt of treatment allocation that sustains internal validity and ethical feasibility of placebo-controlled designs, rather than perfect blinding. Concerns about expectancy bias in psychedelic trials are closely tied to blinding debates. When allocation is inferred, expectations may cluster in the arm perceived as active or in stereotyped experiences and influence outcomes differently in active and control arms, leading to a risk of lessebo, a negative placebo effect due to the negative expectation related to receiving a placebo. However, we argue that an underrecognized mechanism of lessebo is disappointment. This risk may reflect insufficient clinical management of disappointment rather than pre-treatment expectation alone. We therefore propose shifting the emphasis from preserving inevitably imperfect blinding towards mitigating disappointment in both arms. Establishing non-stereotyped expectations prior to treatment through structured psychoeducation, strengthened therapeutic alliance, and realistic preparation would help avoid lessebo effects. Such strategies would enhance ethical rigor, interpretability, and the clinical usefulness of psychedelic trials.

Humans

Reproductive Intentions and Fertility Preservation Among Transgender and Nonbinary Individuals: A Cross-Sectional Study in Brazil.

PURPOSE: This study evaluated reproductive intentions, fertility-related knowledge, prior fertility counseling, and factors associated with reproductive intentions among transgender and nonbinary individuals receiving care at a Brazilian public reference center. METHODS: This cross-sectional study with a qualitative component was conducted between July and November 2025 in a specialized gender-affirming care clinic in Brazil. Quantitative data included sociodemographic characteristics, reproductive history, gender-affirming hormone therapy (GAHT), and fertility-related variables. Logistic regression was used to assess factors associated with desire for future parenthood. Responses to a single open-ended question regarding perceived effects of GAHT on fertility were analyzed using thematic content analysis. RESULTS: Eighty-two participants were included (mean age 27.5 ± 7.4 years). Most identified as transgender men (65.9%), followed by transgender women (26.8%) and nonbinary individuals (7.3%); 79.3% were receiving GAHT. Although 63.4% expressed a desire for future parenthood, only 7.3% had children. Current interest in fertility preservation was reported by 20.8% (15/72). Having children (adjusted odds ratio [aOR] = 0.03; 95% confidence interval [CI]: 0.001-0.62; p = 0.023) and each additional year of GAHT duration (aOR = 0.83; 95% CI: 0.70-0.99; p = 0.038) were associated with lower odds of desiring future parenthood. Sex assigned at birth was not independently associated with reproductive intentions. Qualitative analysis revealed misconceptions, uncertainty, and conditional beliefs regarding fertility. CONCLUSIONS: Desire for future parenthood was common among transgender and nonbinary individuals, whereas engagement with fertility preservation remained limited. These findings highlight the need for longitudinal, patient-centered reproductive counseling integrated into gender-affirming care.

fertility preservation

Trends in demographic and health survey publications based on a bibliometric analysis.

BACKGROUND: The Demographic and Health Surveys (DHS) Program, launched in 1984, provides high-quality population health data that underpins a vast body of global health research. However, the scale and growth patterns of DHS-based publications remain underexplored, particularly as donor funding uncertainties threaten program sustainability. OBJECTIVE: We examine temporal trends in DHS-based research output from 1984 to 2025, quantifying growth patterns and publication delays to inform understanding of the program's global research expansion. METHODS: A systematic bibliometric review was conducted following PRISMA guidelines across PubMed, Scopus, Web of Science, Dimensions, Wiley, and CINAHL. Eligible peer-reviewed articles using DHS data between 1984 and 2025 were identified. Annual publication counts were analyzed, segmented regression identified growth inflection points, and timeliness was assessed by calculating lag between survey completion and publication. RESULTS: Over 10,000 DHS-based publications were identified. Annual output rose from isolated studies in the 1980s to several hundred annually by the 2010s. Segmentation analysis revealed two rapid growth phases: a 56-publications/year increase from 2004-2012, and a 71-publications/year increase from 2012 to 2024. Despite this growth, median lag from survey completion to publication remained approximately 5 years, with only a modest recent improvement (Kendall's &#x3c4;&#x2009;=&#x2009; -0.623, p&#x2009;<&#x2009;0.001). CONCLUSION: DHS data have fueled exponential growth in global health research over four decades, confirming their vital role in evidence generation. However, persistent publication delays highlight the need to shorten the pathway from data collection to dissemination through strengthened research capacity in low- and middle-income countries. Sustained funding is essential to maintain this critical evidence source.

Bibliometrics

The Role of Small Segmental Duplications in Generating Identical Isoforms Through Alternative Splicing Sites.

Alternative splicing plays a crucial role in expanding proteomic diversity but can also generate identical isoforms under certain conditions. While mutually exclusive splicing of tandem exons has occasionally been reported to produce identical isoforms, the extent to which other splicing events contribute to this phenomenon remains unclear. In this study, we demonstrate that alternative 5' and 3' splice site selection can also lead to the formation of identical isoforms, providing an additional type of splicing event for functional redundancy in transcriptomes. To address this, we analyzed reference genome annotations from 15 plant species, including Arabidopsis thaliana and wheat (Triticum aestivum), obtained from the RefSeq database. Identical isoforms were computationally defined as transcripts with distinct exon-intron structures but identical coding sequences. Our analysis reveals that the majority of alternative 5' and 3' fragments originate from small segmental duplications, suggesting that sequence repetition within gene regions facilitates the emergence of such splicing patterns. We also observed differences in the annotated 5' UTRs of some identical isoforms. However, since the alternative splicing sites themselves were not located within UTRs, these differences may reflect annotation uncertainty rather than genuine AS-derived variation. Given that UTR predictions in reference databases are not always precise, such observations should be interpreted cautiously. Expression analysis using an isoform-specific k-mer approach confirmed that identical isoforms can be differentially regulated. These findings suggest that, beyond expanding protein diversity, alternative splicing can also generate redundant isoforms that are differentially expressed at the RNA level, indicating potential regulatory roles. By elucidating the structural and regulatory factors contributing to the formation and retention of identical isoforms, our study provides new insights into the evolutionary and functional significance of alternative splicing in plants.

Alternative Splicing

Littoral and wetland vegetation decrease carbon emissions from dry inland waters.

Lakes are recognized as active components of the inland water carbon (C) cycle, as organic matter is processed by microbial respiration, inducing large carbon dioxide (CO2) and methane (CH4) emissions. In the context of long-lasting drought periods, large uncertainties remain about: (1) the influence of wet-dry cycle on CO2 and CH4 fluxes in littoral zones and lacustrine wetlands; and (2) the contribution of emergent vegetation to C fluxes in dry inland waters. At the water-land interface of two shallow lakes, this study focuses on CO2 and CH4 fluxes from vegetated and bare dry inland waters in relation to hydrological fluctuations. Three seasonal campaigns were conducted to measure daytime CO2 and CH4 fluxes in pelagic, littoral and wetland surface waters, as well as in temporarily air-exposed sediments, using floating and static chambers, respectively. Our results reveal that wet-dry cycle in the littoral zone and wetlands strongly influence gaseous C fluxes through contrasting patterns, especially in late summer, when the biological processes are most active (primary production and respiration). In air-exposed littoral zones, organic-poor sandy sediments presented the lowest CO2 and CH4 emissions, whereas in air-exposed lacustrine wetlands, water-saturated sediments accumulated high amounts of plant-derived organic matter, promoting intense microbial activity and the highest C emissions. However, amphiphytes and helophytes vegetation in exposed littoral zones and wetlands reversed the direction of C fluxes, inducing the highest CO2 uptake due to high photosynthesis rates. This study underlines the relevance of considering vegetation in dry inland waters, particularly in lacustrine littoral zones and wetlands, to obtain comprehensive lake C budgets, especially under climate change scenarios.

Wetlands

Impact of adenosine in controlled aortic root reperfusion on clinical outcomes among patients undergoing valvular heart surgery.

BACKGROUND: Adenosine is a vital medication in cardiac surgery, particularly in valvular heart procedures. While its use has been linked to improved postoperative cardiac function in some studies, there remains significant uncertainty regarding the adenosine usage in aortic reperfusion phase. This lack of consensus poses challenges for surgeons, perfusionists, and anesthesiologists alike. This study aims to explore the impact of adenosine on clinical outcomes in patients undergoing valvular heart surgery. METHOD: This prospective randomized controlled trial was conducted over a three-month period. Sixty patients undergoing valvular heart surgery were enrolled using a continuous sampling method and randomly allocated into two equal groups of 30 patients each. The intervention group received adenosine-enriched aortic root reperfusion immediately prior to aortic declamping, while the control group underwent standard warm blood aortic root reperfusion. Both groups were matched for demographic and clinical characteristics to ensure comparability. RESULTS: Results indicated no significant differences in mean cardiopulmonary bypass (CPB) time, aortic cross-clamping duration, or mechanical ventilation between the intervention and control groups. However, the intervention group that received adenosine had a higher rate of antiarrhythmic agent usage in the operating room (P&#xa0;<&#xa0;0.05). Inotropic agent usage was similar in both groups during surgery and in the ICU. Additionally, laboratory parameters on the first day of ICU admission were comparable between groups. CONCLUSION: Results in the control group showed more favorable outcomes in terms of anti-arrhythmic drug usage, electroshock application, and arrhythmia prevalence. This study showed advantages for the standard warm blood aortic root reperfusion technique in managing post-operative cardiac rhythm disturbances, in comparison with the trial group.

Humans

The Efficacy of Pharmacotherapy Intervention on Anthropometric Outcomes in Survivors of Childhood Brain Tumors: An Updated Systematic Review and Meta-Analysis.

INTRODUCTION: Many survivors of childhood brain tumors face long-term adverse health outcomes like obesity. Uncertainties surround the effect of interventions to manage obesity-related outcomes in survivors of childhood brain tumors. The goal of this updated systematic review and meta-analysis was to provide the best estimate of the treatment efficacy of pharmacotherapy intervention on anthropometric outcomes in this pediatric population. METHODS: We searched CENTRAL, MEDLINE, EMBASE, CINAHL, PsycINFO, PubMed, ClinicalTrials.gov, and ProQuest for articles published from January 1, 2015, to January 31, 2025. A meta-analysis was performed using the generic inverse-variance method in RevMan 5.4. Heterogeneity was assessed using the Cochrane Q test and the I2 statistic. We used the GRADE approach to determine the certainty of evidence. RESULTS: A total of six studies met the inclusion criteria: four newly identified studies published after January 1, 2015 (125 participants), and two from the previously published review (23 participants). The pooled estimate showed no significant change in body mass index z-score after intervention (mean difference&#x2009;=&#x2009;-0.02; 95% CI: -0.06 to 0.02, I2&#x2009;=&#x2009;0%; 4 studies, 94 participants; low certainty of evidence). Similar pooled effects were observed across other outcomes; however, individual studies reported significant changes in some outcomes within the treatment groups after the intervention. CONCLUSION: Pharmacological agents showed no significant change in anthropometric outcomes for survivors of childhood brain tumors. Further trials are needed to assess the efficacy of pharmacological agents and to identify subgroups most likely to benefit.

Humans

Sex-stratified mortality trends in preterm birth complications in Sierra Leone: progress, persistence, and equity implications.

BACKGROUND: Preterm birth complications remain a leading cause of neonatal mortality in Sierra Leone, despite recent health system gains. Evidence on long-term sex-specific disparities in mortality due to preterm birth complications is limited, constraining equitable neonatal care planning. OBJECTIVE: To examine two&#x2011;decade trends in sex&#x2011;stratified mortality from preterm birth complications using standardized equity indicators. METHODS: We conducted a retrospective longitudinal analysis of sex-disaggregated mortality estimates from the World Health Organization (WHO) Global Health Estimates (GHE), accessed through the WHO Health Equity Assessment Toolkit (HEAT), Built-in Database Edition (Version 6.0). Mortality rates per 100,000 population were extracted for 2001, 2006, 2011, 2016, and 2021. Inequality was assessed using absolute difference (D), relative ratio (R), population attributable risk (PAR), and population attributable fraction (PAF). RESULTS: Mortality declined substantially between 2001 and 2021 for both males (85.1-49.3 per 100,000) and females (71.2-39.9 per 100,000). Male mortality remained consistently higher across all years, with relative ratios indicating approximately 20-25% excess mortality among male neonates. Absolute inequalities narrowed modestly over time, whereas relative inequalities remained largely unchanged. PAR and PAF remained close to zero throughout the study period. Wider uncertainty intervals in earlier years reflected limited empirical data availability. CONCLUSION: Although preterm mortality declined over two decades, a persistent male disadvantage remained in Sierra Leone. These findings highlight the importance of integrating sex-disaggregated equity monitoring into neonatal policies and programmes. Future research should evaluate strategies to reduce the persistent excess mortality among male neonates while sustaining overall improvements in neonatal survival and progress toward Sustainable Development Goal 3.2.

Humans

Therapeutic approaches for the treatment of bovine metritis: a systematic review of clinical, reproductive and productive outcomes.

Bovine metritis is a complex multifactorial disease associated with substantial clinical and economic impact due to reduced milk production, subfertility, and increased culling rates. Considerable uncertainty remains regarding the comparative efficacy of the many therapeutic strategies used to manage it. This systematic review aimed to summarize and critically evaluate the available evidence on therapeutic approaches for bovine metritis, with respect to clinical cure, reproductive performance, productive performance, and culling. A literature search conducted in PubMed, Web of Science and CABI Digital Library (2010-2025) identified 18 randomized controlled clinical trials eligible for inclusion. Risk of bias was assessed independently by two reviewers using the Cochrane RoB 2 tool. Given substantial clinical and methodological heterogeneity across studies, findings were synthesized narratively by outcome, without meta-analytic pooling, and the certainty of evidence was assessed using GRADE for the comparisons supported by more than one study. Overall, systemic antimicrobial therapies consistently improved short-term clinical cure rates, although their effects on long-term reproductive and productive performance remained inconsistent. In selected cases, nonsteroidal anti-inflammatory drugs (NSAIDs) showed clinical outcomes comparable to antimicrobial treatments, allowing reductions in antimicrobial use ranging from 50% to 92%. Alternative approaches, such as intrauterine flavonoid, chitosan or dextrose-based therapies, produced inconsistent results that appeared to correlate with disease severity and treatment protocol. The evidence base is limited by substantial heterogeneity in disease definitions, postpartum timing of diagnosis, and cure criteria across studies, and by the near-universal absence of allocation concealment in the primary literature; these limitations restrict the certainty of most conclusions to low or moderate. Therefore, effective metritis control should move beyond symptom resolution and incorporate integrated and preventive strategies targeting inflammatory and metabolic dysregulation during the transition period.

Animals

The impact of artificial intelligence on critical thinking and clinical reasoning in health professions education: A systematic review and meta-analysis.

BACKGROUND: Critical thinking and clinical reasoning underpin healthcare professionals' ability to navigate uncertainties and deliver safe and effective care. With artificial intelligence (AI) advancement and growing adoption, AI-based educational tools are increasingly used to support these cognitive competencies' development. OBJECTIVE: To synthesize randomised and controlled clinical trials on AI-based educational tools in health professions education and examine their effects on critical thinking and clinical reasoning among health professions students. METHODS: Six electronic databases were searched from January 1, 2014 to July 28, 2025 was reviewed: PubMed, Cochrane Central Register of Controlled Trials, CINAHL, Scopus, Embase and Web of Science. Two independent reviewers performed data extraction and quality assessment using standardized JBI checklists. The GRADE approach was used to assess the certainty of evidence. Studies were pooled via random-effects meta-analyses or narrative syntheses. RESULTS: Fourteen randomised controlled trials and seven controlled clinical trials were included (n&#xa0;=&#xa0;21). Meta-analyses revealed small to medium effect sizes for the surrogate clinical reasoning outcomes of performance-based assessment scores (SMD 0.68; 95% CI [0.38, 0.98], p-value&#xa0;=&#xa0;0.00; I2&#xa0;=&#xa0;38%) and knowledge test scores (SMD 0.39; 95% CI [0.09, 0.69], p-value&#xa0;=&#xa0;0.01; I2&#xa0;=&#xa0;79%). Critical thinking and clinical reasoning skills and dispositions were narratively synthesized, with majority of included studies favouring AI-based interventions but the evidence had low to very low certainty. CONCLUSION: AI-based educational interventions may improve critical thinking and clinical reasoning among health profession students, but the evidence is very uncertain. This review offers preliminary insights but does not allow identification of optimal interventions or discipline-specific recommendations due to small sample sizes and substantial intervention heterogeneity. Further research is required to draw definitive conclusions. PROTOCOL REGISTRATION: CRD42025634074.

Humans