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PubMed2026

Left ventricular hypertrophy in hypertension: a systematic review and meta-analysis of echocardiographic studies published from 2011 to 2025.

AIM: An updated meta-analysis targeting the prevalence of left ventricular hypertrophy (LVH), a cardinal marker of hypertensive heart disease (HHD), over the last 15 years is lacking. Thus, we analyzed the literature in order to provide a comprehensive information on LVH prevalence, as assessed by echocardiography, in the hypertensive setting. METHODS: The PubMed, OVID-MEDLINE, and Cochrane Library databases were analyzed to search English-language articles published from 1 January 2011 up to 31 December 2025. Studies were identified by using MeSH terms and crossing the following search items: 'left ventricular hypertrophy', 'left ventricular mass', 'hypertensive heart disease', 'echocardiography', 'hypertension', and 'subclinical cardiac damage'. RESULTS: A total of 51 studies including 74 632 hypertensive patients were considered. Overall, the prevalence of LVH in the pooled cohort, defined according to criteria recommended by echocardiographic guidelines, was 36.6% (95% CI: 33.4-40%). Data provided by 18 studies ( n  = 40 108 patients) showed that the probability of having LVH was lower in men than in women (OR = 0.62, CI: 0.48-0.80, P  < 0.0001). Among patients with LVH (17 studies), the risk of concentric LVH was almost twice as high as eccentric (OR = 1.94, CI: 1.52-2.49, P  < 0.0001). CONCLUSION: Our meta-analysis suggests that the high contemporary prevalence of LVH reflects the failure of therapeutic strategies worldwide in the prevention and treatment of HHD. From a clinical perspective, these data imply the need for a more aggressive treatment of hypertension and related cardiovascular risk factors leading to LVH, especially in women.

Humans↗

PubMed2026

Prevalence of psychosis in South Asia: A systematic review and meta-analysis.

BACKGROUND: Psychotic disorders are a major contributor to global disability, yet prevalence data from South Asia which inhabits a quarter of the world's population, remain limited. Reliable estimates are essential for health service planning, policy, and closing the substantial treatment gap. This review provides the first comprehensive synthesis of psychosis prevalence across South Asia. METHODS: We searched PubMed, Embase, Web of Science, Global Health, and Medline to 18 December 2024 for DSM- or ICD-based prevalence studies in Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka. Cross-sectional and longitudinal studies in community or clinical populations were included. Study quality was assessed using the Joanna Briggs Institute checklist. Random-effects meta-analyses estimated pooled prevalence using the logit transformation. Heterogeneity was explored with meta-regression of key methodological variables (publication year, diagnostic system, residential setting). FINDINGS: Thirty-one studies from five countries were included. Among community-dwelling adults, pooled point prevalence was 0.85% and lifetime prevalence was 1.40%, with inter-country differences (India 1.18%, Pakistan 2.13%, Nepal 2.90%). Clinical samples showed substantially higher proportions of individuals with psychosis in service settings (11.44%), reflecting concentration of cases in treatment-seeking samples. Data for children and adolescents were limited and summarised narratively. Heterogeneity was high across meta-analyses, and exploratory meta-regression did not identify any significant moderators. INTERPRETATION: Psychosis prevalence estimates in South Asia appear higher than global averages but should be interpreted cautiously due to substantial heterogeneity and methodological variation; nevertheless, they highlight the need for culturally sensitive screening, improved detection, and strengthened mental health services.

Humans↗

PubMed2026

The application of artificial intelligence in healthcare practice: A mapping review of systematic reviews.

Artificial intelligence (AI) is rapidly transforming healthcare practice, with growing evidence supporting its use in diagnosis, prognosis, treatment planning, and operational decision-making. The proliferation of systematic reviews in recent years underscores the need for an updated synthesis of the literature to inform research, policy, and practice. We searched PubMed, Web of Science, Scopus, IEEE Xplore, and CINAHL for systematic reviews and meta-analyses published between 2019 and February 2026. Eligible reviews focused on AI applications in healthcare practice, were peer-reviewed, and written in English. A total of 368 reviews met the inclusion criteria. Publication volume increased steadily, peaking in 2025. AI research was concentrated in high-density domains, such as radiology, oncology, and critical care. Across reviews, diagnostic imaging, electronic health record (EHR) data, and biomarkers/laboratory results accounted for 68% of training data sources, though newer data types, such as wearable device and sensor data, emerged from 2022 onward. Diagnosis, prognosis, and treatment comprised over 80% of AI applications, with novel uses emerging in recent years, such as AI-assisted clinical documentation (e.g., ambient documentation tools) and patient education. Ethical concerns were reported in 78.5% of reviews, with privacy, model accuracy, data and algorithmic bias, and explainability as recurrent themes. The proportion of reviews reporting ethical concerns increased from 2021 to 2025. AI applications in healthcare are expanding in scope, diversifying in data sources, and evolving toward novel clinical and operational uses. The human-centered AI or augmented intelligence paradigm, integrating computational precision with clinical expertise, holds significant promise but will require parallel advances in governance, regulatory frameworks, and ethical oversight to ensure safe adoption.

Artificial Intelligence↗

PubMed2026

Mechanisms of high-humidity hot air impingement blanching (HHAIB) on microbial counts, functional properties, phenolic profile transformation, and volatile compounds in celery stalks (Apium graveolens L.).

In this study, celery stalks were pretreated with different durations (0-150 s) of high-humidity hot air impingement blanching (HHAIB), followed by far-infrared radiation assisted pulsed vacuum freeze-drying (FIR-PVFD) at 60, 65, and 70 °C. The effects of HHAIB on the physicochemical properties, composition and transformation of phenolic compounds, volatile components, and antioxidant capacity of FIR-PVFD-dried celery stalks were systematically investigated. The results showed that HHAIB not only effectively reduced the counts of total mesophilic aerobic bacteria (TMAB) and total yeast and mold (TYM), but also decreased the relative activities of polyphenol oxidase (PPO) and lipoxygenase (LOX) by more than 91% after 90 s of treatment. HHAIB altered the cellular structure of celery stalks, shortened the drying time by 29.33-41.43%, and improved their hydration properties. HHAIB pretreatment promoted the conversion of bound phenolics to free phenolics in celery stalks, with significant increases in the contents of p-coumaric acid, apigenin, graveobioside A, and other components. The total free phenolic content increased by 56.99%, thus HHAIB enhanced the antioxidant activity. An electronic nose and sensory evaluation revealed that HHAIB-pretreated celery stalks better retained the characteristic herbal and pungent notes. GC-MS results indicated that HHAIB treatment optimized the aroma profile by regulating the contents and composition of terpenes, aldehydes, ketones, alcohols, and aromatic compounds.

Apium↗

PubMed2026

Soluble CD163 as a Non-Invasive Biomarker in Autoimmune Nephrological and Rheumatological Diseases.

Autoimmune nephrological and rheumatological diseases involve macrophage-driven inflammation, yet disease activity is often assessed using invasive or non-specific measures. Soluble CD163 (sCD163), released from activated monocytes and macrophages, is emerging as a biomarker of macrophage-mediated inflammation in these conditions. This narrative review summarizes current evidence on the diagnostic, prognostic, and disease-monitoring potential of sCD163 measured in blood, urine, and synovial fluid in autoimmune nephrological and rheumatological diseases. This review is based on a narrative analysis of selected publications investigating the clinical utility of sCD163 in autoimmune kidney and rheumatic diseases, with emphasis on correlations with disease activity, histopathological findings, and clinical outcomes. Urinary sCD163 shows excellent diagnostic accuracy for active lupus nephritis (area under the receiver operating characteristic [AUROC] 0.89-0.998), correlates with histological activity index (but not chronicity), and distinguishes ongoing inflammation from chronic damage during treatment. In IgA nephropathy, it predicts remission failure and greater benefit from corticosteroids. In ANCA-associated vasculitis, it identifies active renal involvement (AUROC 0.95 in multicenter cohorts). In rheumatoid arthritis (RA), serum sCD163 correlates with early disease activity, predicts radiographic progression, and detects subclinical macrophage activation in remission. In spondylarthritis, synovial fluid sCD163 reflects a disease-specific M2-polarized macrophage phenotype distinct from RA. Utility is compartmentalized: urinary levels indicate intrarenal macrophage activation, synovial fluid local joint inflammation, and serum systemic activation. sCD163 is a promising macrophage-specific biomarker across autoimmune diseases, but its compartmentalized nature requires context-specific measurement. Before clinical implementation, assay standardization, multicenter validation, and interventional trials showing the benefit of sCD163-guided management are needed.

Humans↗

PubMed2026

Effects of Sacubitril Valsartan Combined With Vericiguat on NT-proBNP and CK-MB Levels in Patients With Chronic Heart Failure.

This study aims to probe the influence of sacubitril valsartan sodium tablets combined with vericiguat on N-terminal pro-B-type natriuretic peptide (NT-proBNP) and creatine kinase isoenzyme (CK-MB) levels in patients with chronic heart failure (CHF). One hundred and twenty CHF patients were enrolled and stratified into a control group (sacubitril valsartan sodium tablets) and a combination group (sacubitril valsartan sodium tablets + vericiguat). Outcome measures included New York Heart Association (NYHA) functional class shifts, echocardiographic indices, cardiac injury markers, 6-min walk distance (6MWD), endothelial function parameters, inflammatory mediator levels, and adverse clinical events. Following a 6-month treatment period, patients in the combination group exhibited superior functional improvement, as reflected by greater advancement in NYHA class. Echocardiographic evaluation revealed more favorable ventricular remodeling in this group, with reduced left ventricular end-diastolic and end-systolic diameters and an elevated ejection fraction. The combination group had a higher 6MWD. Biomarker analysis showed lower NT-proBNP and CK-MB levels in the combination group. Furthermore, improvements in endothelial function were noted, with decreased endothelin and elevated NO, NOS, and CGRP levels in the combination group. Markers of systemic inflammation, including CRP and IL-6, were also attenuated in the combination group. The incidence of adverse reactions and cardiovascular events did not differ significantly between the groups. Co-administration of sacubitril/valsartan and vericiguat enhances cardiac performance, optimizes vascular endothelial responsiveness, modulates heart failure-related biomarkers, and mitigates inflammatory activity in patients with CHF without increasing the risk of adverse events.

Humans↗

PubMed2026

Engineering copper ferrite (CuFe2O4) nanocomposites for enhanced eco-friendly photocatalysis: a systematic critical review on mechanisms, performance, and environmental applications.

Water pollution caused by organic and inorganic contaminants, particularly dyes and pharmaceuticals, represents a major environmental challenge. Advanced oxidation processes based on photocatalysts have emerged as efficient and sustainable approaches for water and wastewater treatment. Copper ferrite (CuFe2O4) is considered a promising photocatalyst owing to its narrow bandgap, visible-light activity, chemical stability, and magnetic properties. Despite extensive experimental investigations, a comprehensive systematic comparison of CuFe2O4-based photocatalysts under diverse operational conditions has remained limited. In this study, a systematic review following PRISMA guidelines was conducted using studies published between January 2014 and November 2025 indexed in Scopus, PubMed, Web of Science, and ScienceDirect. From an initial pool of 397 studies, 98 articles met the inclusion criteria. Key parameters - including pollutant type, pH, catalyst dosage, initial pollutant concentration, irradiation time, light source, and degradation efficiency - were quantitatively compared to identify performance trends and operational optima. The results demonstrate that CuFe2O4-based nanocomposites, particularly heterojunction, Z-scheme, and S-scheme architectures combined with TiO2, g-C3N4, graphene, and metal oxides, achieve high degradation efficiencies (often >90 %) for a wide range of organic pollutants and selected inorganic contaminants (e.g., Cr(VI)). Enhanced charge separation and suppressed electron-hole recombination were identified as the primary factors contributing to improved photocatalytic activity. In addition, the intrinsic magnetic properties of these nanocomposites enable facile catalyst recovery and reuse. In conclusion, CuFe2O4-based nanocomposites, especially those incorporating advanced heterojunction architectures, emerge as highly efficient and magnetically recoverable photocatalytic platforms for sustainable water and wastewater treatment, with strong potential for scalable implementation and real-wastewater applications.

Catalysis↗

PubMed2026

Artificial intelligence (AI) uses in stereotactic radiosurgery (SRS): diagnosis with brain metastasis (BM) - A systematic review.

BACKGROUND: Brain metastases (BM) are the most common intracranial tumors in adults, and stereotactic radiosurgery (SRS) has become a mainstay of management. However, several diagnostic challenges persist in the SRS pathway, particularly the differentiation of radiation necrosis (RN) from true tumor progression, which conventional MRI and even advanced imaging techniques often cannot reliably resolve. Recent advances in artificial intelligence (AI) offer the potential to address these diagnostic limitations. This systematic review synthesizes current literature on AI applications for MRI-based diagnostic decision support in BM patients undergoing SRS, with a focus on radiomics and deep learning tools for distinguishing RN from progression, classifying molecular and histologic subtypes, and predicting treatment response. METHODS: A systematic review was performed in accordance with PRISMA guidelines. PubMed, Web of Science, and Scopus were searched using a targeted query combining terms related to AI, brain metastasis, diagnosis or imaging, and SRS. After screening 483 records and applying strict inclusion and exclusion criteria, 18 studies published between 2015 and 2025 were included. Data were extracted on study design, cohort characteristics, imaging modality, AI methodology, validation strategy, and reported diagnostic performance. RESULTS: Among the 18 included studies, AI models demonstrated strong performance across diagnostic tasks in the BM-SRS pathway. The differentiation of RN from true tumor progression was the most extensively studied application, addressed by 14 of 18 studies, with reported AUCs ranging from 0.71 to 0.94. Support vector machines, random-forest ensembles, convolutional neural networks, and transformer-based multimodal architectures were widely used. The literature evolved from single-sequence radiomic classifiers in 2018 to multimodal deep learning frameworks fusing imaging with clinical and genomic data in 2025. Contrast-enhanced T1-weighted MRI was the dominant imaging input, and texture-based radiomic features (GLCM, GLSZM, GLDM, and wavelet-derived features) were the most consistently predictive. The highest-performing models reached AUCs of 0.85-0.91 through multimodal integration of imaging with clinical and genomic features, and consistently outperformed expert neuroradiologist read on matched cases. Remaining studies addressed longitudinal segmentation-based detection of local failure and adverse radiation effects, BRAF mutation status in melanoma BM, early Gamma Knife treatment response, and primary tumor histology classification, with more variable performance. CONCLUSION: AI models, particularly those integrating MRI-derived radiomic features with clinical and genomic data, show high accuracy in supporting diagnostic decisions for BM patients treated with SRS. The post-SRS differentiation of radiation necrosis from true tumor progression has reached the greatest level of maturity and is closest to clinical translation, with potential to reduce unnecessary biopsies, personalize surveillance intervals, and rationalize treatment-pathway decisions. Other diagnostic applications, including molecular subtyping and primary tumor histology classification, remain exploratory and require further multicenter validation. Integration of AI tools into multidisciplinary tumor-board workflows, combined with prospective validation and standardized reporting, will be essential to realize the full clinical benefits of AI in SRS for brain metastases.

Humans↗

PubMed2026

Improving survival in Duchenne muscular dystrophy across eras: a systematic review and cumulative meta-analysis.

BACKGROUND: Duchenne muscular dystrophy (DMD) was historically associated with death in the late teens or early twenties, mainly from respiratory failure. Survival has improved substantially with home mechanical ventilation (HMV) and multidisciplinary care, although variability remains. This study evaluated temporal trends in survival in DMD and the impact of HMV. METHODS: A study-level cumulative meta-analysis (PROSPERO CRD420251163011) of studies reporting survival outcomes in patients with DMD was conducted (PubMed 1977 to 13 October 2025). Pooled estimates of median survival were calculated, and random-effects meta-analyses with predefined subgroups (HMV and study period) were performed, alongside meta-regressions. Risk of bias was assessed using the Newcastle-Ottawa Scale. RESULTS: 53 studies (median follow-up 8 years), comprising more than 13,000 patients, of whom 60% received HMV, were included. Median survival differed substantially between ventilated (29 years, 95%CI 27 to 31) and non-ventilated (19 years, 95%CI 18 to 20) patients. Survival improved progressively over time in both groups. Glucocorticoid therapy was not associated with improved survival (p=0.45), whereas treatment with heart failure medications, including renin-angiotensin system inhibitors (p=0.002) and β-blockers (p=0.02), was associated with longer survival. The predominance of mortality shifted from respiratory to cardiac causes, while enhanced cardiac management was associated with a growing contribution of other causes of death. CONCLUSION: Survival in DMD has increased substantially over time, with median survival now approaching the third decade of life among ventilated patients. The growing contribution of cardiac and other non-respiratory causes of death highlights the importance of long-term multidisciplinary and early cardioprotective intervention. STUDY REGISTRATION: The meta-analysis and systematic review have been registered on PROSPERO (CRD420251163011).

Humans↗

PubMed2026

Sodium-glucose cotransporter-2 inhibitors and gastrointestinal neoplasm risk in type 2 diabetes: a systematic review and meta-analysis of randomized controlled trials.

The potential carcinogenic effects of sodium-glucose cotransporter 2 (SGLT2) inhibitors in patients with type 2 diabetes mellitus (T2DM) remain controversial, particularly regarding site-specific gastrointestinal (GI) neoplasms. This systematic review and meta-analysis aimed to determine the relationship between SGLT2 inhibitors and the risk of GI neoplasms in patients with T2DM. We searched PubMed, EMBASE, Cochrane CENTRAL, Scopus, and Web of Science through March 17, 2025, for RCTs in T2DM comparing SGLT2 inhibitors with placebo or active comparators. Two reviewers independently screened studies, extracted data, and assessed the risk of bias. The primary outcome was GI neoplasms reported in publications, supplementary materials, or trial registries, usually as adverse events rather than centrally adjudicated cancer endpoints. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated in Stata 17.0. In 48 RCTs (n = 48,765), SGLT2 inhibitor therapy was not associated with overall GI neoplasm risk (OR = 1.10, 95% CI: 0.84-1.44; p = 0.46; I² = 0%). Site-specific analyses showed no statistically significant association for esophageal (OR = 1.12, 95% CI 0.37-3.45), gastric (1.20, 0.65-2.23), hepatic (0.62, 0.31-1.22), pancreatic (0.91, 0.51-1.64), colonic (1.28, 0.78-2.08), colorectal (0.76, 0.27-2.17), and rectal neoplasms (0.98, 0.49-1.97), with all p-values > 0.05. Subgroup analyses by agents (e.g., canagliflozin, dapagliflozin, empagliflozin), baseline age, body mass index (BMI), HbA1c, treatment duration, and dose were also non-significant (all p > 0.05). Approximately half of the trials had follow-up of one year or less, limiting our ability to evaluate long-term risk. Available RCT evidence does not show a clear increase in GI neoplasm risk with SGLT2 inhibitors in T2DM. However, limited follow-up, low event counts, and non-cancer-specific outcome ascertainment, the findings should be interpreted as reassuring but not definitive evidence of long-term oncologic safety.Systematic review registration: PROSPERO No. CRD42024619019.

Humans↗

PubMed2026

Randomized study of the effects of testosterone administration on severity of asthma in horses.

BACKGROUND: Low testosterone concentrations are associated with poor lung function in human asthmatics, and androgen administration improves airway obstruction in women with asthma. HYPOTHESIS/OBJECTIVES: Testosterone improves clinical scores, lung function, airway neutrophilia, and airway remodeling in horses with severe asthma. ANIMALS: Ten horses affected by severe asthma from a research herd. METHODS: In a randomized, blinded, crossover study, horses received dexamethasone (0.06 mg/kg PO q24h for 10 days) or a single intramuscular injection of testosterone cypionate (0.35 mg/kg), with a 2-week washout period. Clinical respiratory scores were assessed at days 0, 2, 5, and 10; lung function was evaluated at days 0, 5, and 10; and bronchoalveolar lavage fluid cytology and central airway remodeling at days 0 and 10. Mixed linear models were used for analysis. RESULTS: The respiratory clinical scores improved with dexamethasone administration (median [95% CI], from 12 (9-13) to 5 (3-6), P < .001), and remained unchanged with testosterone administration (from 10 [8-12] to 9 [8-11], P = .6). Pulmonary elastance improved with both treatments, but the effect was more pronounced with dexamethasone administration (from 5.1 cm H2O/L [2.4-5.8] to 0.5 [0.4-0.8], P < .001) than with testosterone administration (from 4.5 cm H2O/L [1.6-8.5] to 3.0 [1.0-4.1], P = .04). Pleural pressure and pulmonary resistance decreased only with dexamethasone. Neither treatment altered airway neutrophilia or bronchial remodeling. CONCLUSIONS AND CLINICAL IMPORTANCE: Testosterone is less effective than dexamethasone and only mildly improves pulmonary elastance in horses with severe asthma.

Animals↗

PubMed2026

Matched targeted therapy use after broad genomic profiling in advanced Non-Small cell lung cancer.

INTRODUCTION: While broad genomic profiling is increasingly used in advanced NSCLC (aNSCLC), the impact of test results on subsequent guideline-concordant targeted therapy selection remains incompletely understood. METHODS: Using a merged dataset of two large, nationwide, patient-level databases, we identified patients who were diagnosed with aNSCLC 2017-2023, had potentially actionable genomic profiling findings, and initiated systemic therapy. Patients were categorized into actionability subgroups based on contemporaneous regulatory approvals and NCCN guideline recommendations. Within each subgroup, we assessed receipt of guideline-concordant targeted therapy within 24 months, including potential underuse (non-receipt of recommended treatment) and overuse (receipt of non-recommended treatment). RESULTS: Among 6620 patients (67.4% ≥65 years, 54.6% female, 68.9% White), guideline-concordant targeted therapy use varied substantially by actionability category: 2313 (89.6%) of 2582 patients with available 1st-line on-label options received them (10.4% underuse), while 212 (67.3%) of 315 patients with available later-line on-label options received them after 1st-line (32.7% underuse). Among 441 patients with available guideline-concordant off-label options, only 122 (27.7%) received them (72.3% underuse). Conversely, 238 (8.6%) of 3282 patients received matched but guideline-discordant off-label options, representing overuse of ineffective or unestablished therapies. Smoking history, squamous histology, and high PD-L1 expression were associated with lower targeted therapy receipt. CONCLUSIONS: In this cohort study of aNSCLC care, the guideline concordance of targeted therapy use varied by clinical actionability of molecular testing results. Underuse was more common in patients with later-line and off-label targeted therapy options. Patients with classical smoking-related risk profiles were substantially less likely to receive targeted therapy even when actionable alterations were identified.

Journal Article↗

PubMed2026

Privacy, security, and reliability risks of artificial intelligence in healthcare: a systematic review of empirical evidence.

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into healthcare information systems, supporting clinical decision-making, imaging analysis, and predictive modeling. While these applications offer operational and clinical benefits, they also introduce emerging risks to patient privacy, data security, and system reliability. OBJECTIVE: To systematically review empirical evidence on privacy breaches, security vulnerabilities, and misuse associated with AI applications in healthcare settings. METHODS: PubMed, Embase, Web of Science, Scopus, IEEE Xplore, and ACM Digital Library were searched for empirical studies published between January 2015 and November 2025 that evaluated AI use or misuse in clinical diagnosis, treatment, or decision-making. Two reviewers independently screened studies and extracted data using a standardized form. Findings were synthesized narratively due to heterogeneity in study designs, AI methods, and reported outcomes. RESULTS: Of 7,285 records identified through database searches and 205 through citation screening, 22 empirical studies met the inclusion criteria, spanning multiple clinical domains and data modalities, predominantly medical imaging applications. Five recurring threat categories were identified: patient re-identification, membership inference, unauthorized access and adversarial exploitation, input manipulation, and misuse or overinterpretation of AI outputs. Across studies, AI models were shown to encode latent biometric signals across diverse data types, limiting the effectiveness of traditional anonymization and synthetic data approaches. Adversarial attacks and input manipulation were also shown to compromise diagnostic performance and system integrity. CONCLUSION: This systematic review provides empirical evidence suggesting that contemporary AI systems in healthcare introduce privacy and security risks that may challenge traditional assumptions about data protection. These findings underscore the need for privacy- and security-by-design approaches and governance frameworks that address risks across the AI lifecycle.

Humans↗

PubMed2026

Autodissemination stations suppress Aedes notoscriptus mosquitoes and reduce Buruli ulcer risk in urban Australia: a randomized controlled field trial.

Aedes notoscriptus are mosquito vectors implicated in transmission of Mycobacterium ulcerans. This bacterium causes a destructive infection of skin and soft tissue called Buruli ulcer. Here we ran a randomized controlled trial in an urban Buruli ulcer endemic area in Melbourne, Australia to test whether autodissemination mosquito control stations, containing pyriproxyfen (larvicide) and Beauveria bassiana (entomopathogenic fungus), suppress Ae. notoscriptus populations. Six geographic areas each received 100 autodissemination stations for 8 weeks, and six control areas received no stations between 25 January 2024 and 21 March 2024. The primary outcome measure was mosquito population numbers. After the trial, there was a 70% average reduction in mosquito egg counts among the six intervention areas compared to control areas (P = 0.0076). In an ad hoc analysis, we then explored human Buruli ulcer notifications in treatment and control areas. After accounting for the 4.8-month mean incubation period, there was an 83% reduction in infection likelihood coinciding with peak intervention effect (intervention zones 1 case, control zones 6 cases, incidence ratio rate 0.167, 95% CI 0.0026-1.054, P = 0.047). The effect was not observed during the same time period in the year previous or following 2024, when no interventions were undertaken. A strong correlation (R2 = 0.85) was observed between decreased disease risk and mosquito suppression. These data show that autodissemination traps can effectively lower urban mosquito populations and reduce the threat of Buruli ulcer in humans.

Animals↗

PubMed2026

Symptom Burden After Dialysis Initiation and Its Association With Hospitalization.

RATIONALE & OBJECTIVE: Symptom burden is distressing for patients living with kidney failure, but there is limited information about the combination of symptoms and individual symptoms that most strongly predict health care use in this group. We classified and summarized patients' symptom burden levels and changes over time and estimated associations with hospitalizations among patients receiving incident hemodialysis. STUDY DESIGN: Longitudinal, observational. SETTING & PARTICIPANTS: Individuals initiating dialysis in the United States. EXPOSURE: Kidney Disease Quality of Life-36 (KDQOL-36) measure. OUTCOME: First hospitalization after dialysis initiation. ANALYTICAL APPROACH: Latent transition analysis was used to identify symptom burden classes using the KDQOL-36. Cox regression models were used to assess whether individual KDQOL-36 symptoms and symptom burden groups were associated with hospitalization risk after dialysis initiation, independent of demographics and comorbid conditions. RESULTS: 1,818 participants were Black (29%), were aged >65 years (59%), were women (42%), had diabetes (49%), and had hypertension (74%). Latent transition analysis identified the following 3 symptom burden groups: (1) low (low severity of all symptoms and kidney disease impacts), (2) moderate (high physical health impact and overall burden of kidney disease), and (3) high (high levels of all symptoms and kidney disease impact). After adjusting for patient characteristics, all KDQOL-36 scales except the Effects of Kidney Disease scale were associated with a higher hazard of hospitalization. Using the symptom burden groups, a high symptom burden was associated with a 20% increase in the hazard of hospitalization. A 1-category worsening in pain interference and in fatigue was associated with a 12% and an 8% increased hazard of hospitalization, respectively. LIMITATIONS: Findings may not generalize outside the United States. CONCLUSIONS: Pain interference and fatigue, as well as an overall symptom burden, are useful prognostic indicators in patients receiving in-center hemodialysis. Symptom burden should remain a treatment target in hemodialysis.

Hemodialysis↗

PubMed2026

Evidence Gap in Managing Lateral Pelvic Lymph Nodes in Rectal Cancer: a Systematic Review of Radiation Boost Strategies.

PURPOSE: Lateral pelvic lymph node (LPLN) involvement is a significant predictor of local recurrence in patients with locally advanced rectal cancer (LARC). While lateral pelvic lymph node dissection (LPLND) is routinely used in some countries to manage suspicious nodes, it is associated with increased morbidity and is not widely adopted in Western practice. Radiation boost (dose escalation) to involved LPLNs during neoadjuvant chemoradiotherapy (nCRT) has emerged as a potential non-surgical alternative. Despite increasing adoption of radiation boost to clinically involved LPLNs, there remains limited evidence defining its safety, oncologic benefit, and role relative to LPLND. METHODS: A systematic search of MEDLINE, EMBASE, ClinicalTrials.gov, and Cochrane databases was conducted following PRISMA guidelines. Studies were included if they reported outcomes of radiation dose escalation specifically targeting radiologically suspicious LPLNs in the context of nCRT. RESULTS: Ten retrospective cohort studies encompassing 482 radiation boosted patients were included. Boost doses ranged from 35.0 to 60.2 Gy. Rates of Grade 2-3 toxicity ranged from 28.0% to 39.3% across individual studies, with only one study reporting a single Grade 4 adverse event. Across individual studies, reported nodal response rates ranged from 62.3% to 100%. Comparative studies suggest that radiation boost may improve local control and reduce LPLN recurrence. CONCLUSION: Current retrospective evidence suggests that radiation dose escalation to involved LPLNs is a promising treatment strategy; however, the available data are limited by retrospective study designs and substantial clinical heterogeneity. Given the absence of prospective evidence and lack of consensus in current guidelines, an important evidence gap remains. Well-designed prospective trials are warranted to define the role of LPLN boost relative to LPLND.

Humans↗

PubMed2026

Risk of adverse events in elotuzumab-treated patients with multiple myeloma: a systematic review and meta-analysis.

BACKGROUND: Elotuzumab, an anti-SLAMF7 monoclonal antibody for multiple myeloma (MM), lacks a comprehensive safety profile from meta-analysis. METHODS: We systematically searched PubMed, Web of Science, EMBASE and CENTRAL through February 13, 2025 for randomized controlled trials (RCTs) evaluating elotuzumab in MM. Pooled relative risks(RRs) of adverse events observed in elotuzumab-containing regimens versus control therapies. RESULTS: 6 RCTs (N=1,736) were included. Elotuzumabsignificantly reduced incidence of neutropenia (RR = 0.86, 95% CI: 0.76-0.98), but increased risks of cough (RR = 1.41, 95% CI: 0.96-2.09), pneumonia (RR = 1.30, 95% CI: 1.07-1.59), diarrhea (RR = 1.16, 95% CI: 1.05-1.30), pyrexia (RR = 1.47, 95% CI: 1.10-1.96) and infections (RR = 1.09, 95% CI: 1.03-1.15). No significant differences were observed for anemia, thrombocytopenia, respiratory infections, nausea, appetite loss, back pain, muscle spasms, peripheral edema, insomnia, rash, pruritus, fatigue, or hypokalemia. For grade 3-4 events, elotuzumab was associated with higher risks of lymphopenia (RR = 1.86, 95% CI: 1.31-2.64, p = 0.0005, I2 = 9%), diarrhea (RR = 1.47, 95% CI: 1.00-2.17), pneumonia (RR = 1.57, 95% CI: 1.11-2.23), cataracts (RR = 2.87, 95% CI: 1.15-7.21) and infections (RR = 1.30, 95% CI: 1.04-1.62). CONCLUSION: Elotuzumab in MM appears safe but with a specific adverse events pattern : lower neutropenia, but higher respiratory, gastrointestinal, metabolic, and infectious events. Differences may be influenced by longer treatment and corticosteroid use; therefore, interpretation of outcomes such as hyperglycemia and cataracts requires particular caution.

Humans↗

PubMed2026

Postoperative chemoradiotherapy in Wilms tumor with concurrent lung and lymph node metastasis.

BACKGROUND: An effective treatment strategy is essential for metastatic Wilms tumor (WT) management. To improve prognostic accuracy, this study examined metastatic patterns and key prognostic factors. METHODS: Children diagnosed with WT from 2010 to 2021 were identified from the SEER database. All patients underwent chemotherapy and surgical resection. Metastatic patterns, metastasis-related predictors, and prognostic factors were evaluated. RESULTS: Of the 1040 patients analyzed, 226 (21.7%) experienced lung metastasis, 31 (3.0%) liver metastasis, 6 (0.6%) bone metastasis, and 220 (21.2%) regional lymph node metastasis. Distant metastasis was associated with a higher incidence of lymph node metastasis (OR = 1.506, 95% CI 1.346-1.685, p < 0.001). Age 3-17 years (OR = 1.933, 95% CI 1.406-2.680, p < 0.001), left-sided (OR = 1.383, 95% CI 1.016-1.890, p = 0.040), bilateral (OR = 2.303, 95% CI 1.215-4.243, p = 0.009), and tumor size ≥135 mm (OR = 2.020, 95% CI 1.481-2.749, p < 0.001) were identified as predictors of metastasis. Both lymph node (p < 0.001) and lung metastasis (p < 0.001) were high-risk factors for WT. Radiotherapy provided long-term survival benefits for the metastatic population (p = 0.027), while postoperative chemotherapy showed better outcomes than preoperative or other strategies (p < 0.001). Further analysis demonstrated that the concurrent lung and lymph node metastasis group benefited more from postoperative chemoradiotherapy, with HRs of 0.226 (p = 0.028) for overall survival and 0.255 (p = 0.048) for cancer-specific survival. CONCLUSION: WT with concurrent lung and lymph node metastasis represents a distinct and aggressive metastatic phenotype associated with a significantly poor prognosis. Postoperative chemoradiotherapy may provide superior survival benefits for this high-risk population.

Humans↗