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PubMed2026

Automated CEAP Classification of Venous Duplex Reports Using Multimodal Artificial Intelligence.

OBJECTIVE: To develop and internally validate a prototype multimodal artificial intelligence system for automated CEAP (Clinical, Etiological, Anatomical and Pathophysiological) classification of venous duplex ultrasound (VDUS) reports, integrating natural language processing of free-text components with computer vision analysis of hand-drawn anatomical diagrams. METHODS: Single centre retrospective observational study using routinely collected clinical data. One thousand consecutive venous duplex ultrasound reports from Cambridge University Hospitals NHS Foundation Trust, UK (July 2024 - May 2025) were labelled according to the CEAP classification, excluding the Etiological component, which could not be reliably determined from duplex reports alone. Transfer learning was applied using ClinicalBERT for text and MobileNetV3 for diagrammatic data. Clinical classes were predicted from request line text. Text- and image-based pathophysiological models were developed for four anatomical territories (Great Saphenous Vein, Small Saphenous Vein, Deep system, Perforators), combined using late fusion with probability averaging. RESULTS: The clinical CEAP model achieved accuracy of 0.91, macro-F1 of 0.82, and macro-AUC of 0.98. Pathophysiological prediction varied, with text models broadly outperforming image models. Fusion yielded heterogeneous benefits, improving SSV performance but reducing Deep system accuracy. The performance of the final pathophysiological CEAP fusion models varied across anatomical territories: accuracy ranged from 0.70-0.92 and macro-AUC from 0.80-0.92. CONCLUSION: This study demonstrates the feasibility of automated CEAP classification from VDUS reports. Despite class imbalance affecting minority class predictions, the strong discriminatory performance validates this multimodal ML model for extracting clinically meaningful information from real-world data. This approach offers potential, pending external validation, to streamline vascular services through automated triage and guideline-compliant decision making.

Artificial intelligence↗

PubMed2026

Risk of neurodevelopmental disorders associated with paternal use of valproate during spermatogenesis: a living meta-analysis-version 1.

OBJECTIVE: To evaluate the association of paternal use of valproate during spermatogenesis compared with paternal use of lamotrigine or levetiracetam on offspring risk of neurodevelopmental disorders (NDDs). METHODS: Eligibility criteria: observational, peer-reviewed studies reporting neurodevelopmental outcomes of children exposed to paternal monotherapy use of valproate vs lamotrigine or levetiracetam during spermatogenesis. INFORMATION SOURCES: the databases PubMed, Embase, Cochrane Library and Web of Science were systematically searched from January 1995 to October 2025.Synthesis of results and risk of bias: a random-effects model was used to estimate pooled HRs and 95% CI, with heterogeneity assessed using I2 statistic for any NDD.We present a meta-analysis of observational, peer-reviewed studies reporting neurodevelopmental outcomes of children exposed to paternal monotherapy use of valproate versus lamotrigine or levetiracetam during spermatogenesis. Given the major regulatory implications of paternal valproate safety, the recent emergence of new population-based data, and the expectation of further large studies, we designed this work as a living systematic review and meta-analysis that will be updated as new eligible evidence becomes available. RESULTS: We identified three eligible studies based on data from (1) Norway and Sweden, (2) Norway and Taiwan and (3) Denmark. As two studies included Norwegian data, their results are referred to as 'Norway 1' and 'Norway 2' for clarity. In the meta-analysis of data from Denmark, Sweden and Norway 1, the pooled HR of offspring NDDs was 1.05 (95% CI 0.87 to 1.27; I2=0.0%), and in meta-analysis of data from Denmark, Sweden and Norway 2, it was 1.03 (95% CI 0.85 to 1.24; I2=0.0%).In the meta-analysis including Taiwan, Denmark, Sweden and Norway 1, the pooled HR was 1.06 (95% CI 0.88 to 1.27; I2=0.0%), and when including data from Taiwan, Denmark, Sweden and Norway 2, the pooled HR was 1.04 (95% CI 0.87 to 1.25; I2=0.0%). CONCLUSIONS: In this living meta-analysis, we found no evidence that paternal exposure to valproate compared with lamotrigine/levetiracetam during spermatogenesis was associated with increased risk of NDDs in offspring.

Humans↗

PubMed2026

No association between alcohol consumption and hip osteoarthritis: a diverse national analysis of 87,585 adults from the "All of Us" research program.

INTRODUCTION: Hip osteoarthritis (OA) is estimated to affect 62.6 million individuals by 2050. A probable link exists between alcohol use and hip OA. However, the results are inconsistent, and the relationship between alcohol and hip OA remains speculative. To address these gaps, this study aimed to utilize the diverse, nationally representative All of Us Research Program dataset to explore the association between alcohol consumption and hip OA. METHODS: This retrospective case-control study utilized data from the All of Us Research Program Controlled Tier Dataset v8. 17,517 hip OA cases and 70,068 controls were identified. A 1:4 case-to-control matching ratio was applied based on age and sex. Alcohol use frequency was categorized into five levels: Never, Monthly or Less, Two to Four Times per Month, Two to Three Times per Week, and Four or More Times per Week. Multivariable logistic regression models evaluated the association between alcohol use frequency and hip OA after adjusting for demographic and clinical variables. RESULTS: Multivariable analysis found that alcohol use frequency was not significantly associated with hip OA. Compared to never users, participants with low (OR 0.98, 95% CI 0.93-1.04, P = 0.583), moderate (OR 0.99-1.01, all P > 0.05), and high (OR 1.02, 95% CI 0.95-1.09, P = 0.599) levels of alcohol consumption had no statistically significant differences in odds of hip OA. Female sex, Asian race, diabetes, hypertension, hyperlipidemia, and nicotine dependence increased the odds of hip OA. CONCLUSION: Any level of alcohol consumption was not significantly associated with the odds of hip OA. This study adds valuable insight to the current body of conflicting evidence. Further prospective studies appear warranted to shed light on the long-term effects of different alcoholic beverages on different joints. Key Points • This study found no significant association between any degree of alcohol consumption and the odds of developing hip osteoarthritis. • Utilizing data from 87,585 adults in the NIH "All of Us" Research Program, this is the first study to analyze this relationship in a large, nationally representative population. • The research provides clarity to previously conflicting literature by demonstrating that alcohol lacks a clear harmful or protective effect on the clinical course of the disease. • The analysis highlights that independent risk factors such as Asian race, nicotine dependence, and components of metabolic syndrome increase the odds of hip osteoarthritis.

Humans↗

PubMed2026

Which radiographic plane should be used to quantify the distal tibia angle on weightbearing CT images?

BACKGROUND: Precise quantification of distal tibial alignment is essential for planning corrective osteotomies and ankle joint replacement surgery. The lateral distal tibial angle (LDTA) is the principal radiographic parameter used for this purpose. While LDTA is increasingly measured on weightbearing cone-beam CT (WBCT) using two-dimensional coronal slices, the optimal measurement plane remains unclear. METHODS: In this retrospective comparative study, full-leg WBCT scans of patients scheduled for supramalleolar osteotomy (n = 20; mean age 47 ± 12.8 years) were analyzed. LDTA was measured on three coronal planes of the distal tibial plafond (anterior edge, mid-dome, posterior edge) and compared with semi-automated three-dimensional (3D) tibial alignment measurements as the reference standard. RESULTS: Mid-dome LDTA showed no significant difference from the 3D reference (p > 0.05) and demonstrated excellent agreement. Anterior measurements significantly overestimated LDTA, while posterior measurements underestimated it (both p < 0.05), with only fair agreement. CONCLUSION: LDTA should be measured at the mid-dome of the distal tibial plafond on WBCT to ensure accurate and reproducible alignment assessment. LEVEL OF EVIDENCE: Level III - Retrospective Comparative Study.

Humans↗

PubMed2026

Association of hydroxyurea use and sickle cell retinopathy: A systematic review and meta-analysis.

Hydroxyurea (HU) is prescribed to reduce systemic complications of sickle cell disease; however, its association with sickle cell retinopathy (SCR) remains unclear. This meta-analysis (PROSPERO: CRD420251079006) evaluates the pooled association between HU use and SCR. In the primary analysis, HU use was not associated with a statistically significant reduction in SCR (OR = 0.90, 95% CI [0.41, 1.97], p = 0.79; I² = 77%). In a prespecified leave-one-out analysis, exclusion of the outlier study did not produce a statistically significant association, although the estimate shifted toward a stronger protective effect with reduced heterogeneity (OR = 0.70, 95% CI [0.39, 1.27], p = 0.25; I² = 67%). In a subgroup analysis excluding high-risk-of-bias studies, HU use was also not associated with a statistically significant reduction in SCR (OR = 0.84, 95% CI [0.39, 1.82], p = 0.66; I² = 77%). In post hoc analyses, HU use was not associated with a statistically significant reduction in SCR in non-adult populations (OR = 1.14, 95% CI [0.43, 3.05], p = 0.79; I² = 81%) or genotype-restricted analyses (OR = 1.22, 95% CI [0.81, 1.84], p = 0.35; I² = 0%). In post hoc analyses restricting studies to retinopathy phenotype, however, HU was associated with statistically significant lower odds of non-proliferative SCR (OR = 0.73, 95% CI [0.54, 0.98], p = 0.04; I² = 0%) and proliferative SCR (OR = 0.24, 95% CI [0.09, 0.60], p = 0.002; I² = 12%). Very low-certainty evidence suggests mixed associations between HU and SCR. Prospective studies are needed to clarify its role in SCR prevention.

Humans↗

PubMed2026

Use of Wearable Sensors in Angelman Syndrome: A Systematic Review.

BACKGROUND: Wearable sensors are a promising method for collecting clinical trial outcome data for people with Angelman syndrome (AS). However, there has yet to be a systematic probe into the ways in which wearable sensors have been successfully used in AS. The current study aims to provide a quantitative summary of wearable sensors used in AS, including contexts of use and psychometric properties, and to present key narrative highlights. METHOD: Literature searches were performed in three electronic databases: APA PsycInfo, PubMed and Web of Science Core Collection. Data items were categorized into four categories: sample characteristics, study methodological details, wearable sensor characteristics and psychometric properties assessed. Sample characteristics included sample size, age, biological sex, race/ethnicity and cognitive/developmental functioning. Study methodological details were subdivided into study design and setting. Wearable sensor characteristics included sensor type, placement site, means of attachment, assessed construct and sensor-related data loss. Psychometric properties assessed included reliability and validity of sensor-derived data. RESULTS: We identified 16 articles through our systematic review. Wearable sensors were used to study sleep (n = 10, 62.5%), language (n = 2, 12.5%), gait (n = 2, 12.5%), caregiver proximity (n = 1, 6.3%), EEG power (n = 1, 6.3%), and arousal (n = 1, 6.3%) in AS through actigraphs, vocalization recorders, inertial sensors, radio-frequency identification watches, wireless EEG caps, and functional near-infrared spectroscopy caps, respectively. Findings from these studies broadly indicate that wearable sensors are feasible, reliable and valid for assessing a range of behaviours relevant to AS. CONCLUSIONS: Wearable sensors are a promising solution to enhance assessments in AS. However, with the small extant literature characterized by small sample sizes and restricted focus on a few relevant features in AS, there remains ample opportunities to explore the use of wearable sensors in people with AS. Additional studies will better inform clinical decision-making and ultimately improve the lives of people with AS and their families.

Humans↗

PubMed2026

Genome-wide association study of estimated glomerular filtration rate using repeated measurements in the Taiwan Biobank.

BACKGROUND: Chronic kidney disease (CKD) is a major global public health issue, with genetic factors playing a significant role in kidney function. Although genome-wide association studies (GWAS) have identified numerous loci associated with estimated glomerular filtration rate (eGFR), most studies relied on a single time-point measurement, which limits the capacity to account for within-individual measurement variability. METHODS: We performed a repeated-measurement GWAS in the prospective Taiwan Biobank (Taiwanese ancestry; n = 25,004) using two repeated creatinine-based eGFR measurements. Repeated eGFR values were analyzed using a linear mixed-effects model with a subject-specific random intercept and time-varying covariates, providing a more precise estimate of eGFR level. Identified loci underwent functional annotation (expression quantitative trait locus, deleteriousness prediction, and epigenetic markers) and were compared with results from a single-measurement GWAS. RESULTS: Six loci associated with eGFR were identified, including four previously reported regions (1q22, 4q21.1, 11p14.1, and 17q21.2) and two additional loci (6p21.32 and 15q24.2). Functional annotation implicated several candidate genes-such as MUC1/EFNA1, SHROOM3, HLA-DQB1, MPPED2, NRG4, and PGAP3/FBXL20-in the regulation of kidney function. CONCLUSION: Incorporating repeated eGFR measurements into GWAS may improve phenotypic precision for identifying genetic associations with kidney function. This study identified eGFR-associated loci and biologically plausible candidate genes in a Taiwanese population, which require further replication and functional validation.

Chronic kidney disease↗

PubMed2026

Age-related macular degeneration associated with glucagon-like peptide-1 receptor agonist use: a systematic review.

BACKGROUND: Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are increasingly prescribed for diabetes, obesity, and cardiovascular risk reduction. However, their ocular safety profile, particularly regarding age-related macular degeneration (AMD), remains uncertain. This systematic review evaluates the association between GLP-1 RA use and the incidence or progression of AMD including both nonexudative and neovascular subtypes. METHODS: A systematic review was conducted in accordance with Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines and registered with PROSPERO (CRD420251183938). MEDLINE, Embase, CENTRAL, Web of Science, and PubMed were searched from inception through 2025 for observational studies and randomized trials evaluating AMD outcomes among adults exposed to GLP-1 RAs. Comparators included nonuse, placebo, or alternative metabolic therapies. Risk of bias was assessed using Risk of Bias in Non-Randomized Studies of Interventions and certainty of evidence using the Grading of Recommendations, Assessment, Development, and Evaluation framework. Due to heterogeneity of outcome definitions, results were synthesized qualitatively. RESULTS: Eight observational studies encompassing 91 408 to 600 816 participants were included. GLP-1 RA use was associated with a reduced incidence of nonexudative AMD across diabetic and nondiabetic populations, with relative risk reductions varying substantially by population, comparator, and follow-up duration. Findings for neovascular AMD were heterogeneous: most studies reported neutral or protective associations, whereas one population-based cohort of older adults with diabetes observed an increased risk (adjusted hazard ratio 2.21, 95% CI 1.65-2.96), with low absolute event rates. Overall risk of bias was moderate to high, and certainty of evidence for all outcomes was very low. CONCLUSIONS: Current evidence does not demonstrate a consistent increase in AMD risk associated with GLP-1 RA therapy and may be associated with a lower incidence of nonexudative AMD, although the certainty of evidence is very low and noncausal explanations cannot be excluded. Prospective studies with standardized endpoints are needed to clarify causal relationships.

Humans↗

PubMed2026

E-cigarette product characteristics and packaging features and interest in e-cigarette use: Results from a randomized within-person trial nested in three prospective cohorts.

BACKGROUND: Product characteristics and packaging may be key targets for regulation to reduce e-cigarette use among youth, but existing data are limited. METHODS: Data are from an experimental study (2018-2020) nested within three prospective cohorts (age 14-26) in southern California (N = 3565). Participants were shown five e-cigarette (e-liquid) packages in a random order that varied in flavor (sweet vs. tobacco), flavor name (descriptive ["blueberry cheesecake"] vs. concept ["smurf cake"] vs. none [number only]), and cartoon image on package (yes/no). For each stimuli, survey items assessed the following outcomes: product appeal (self-enjoyment, others' enjoyment; Likert scale [1-5]), susceptibility to use (use if friends offered, curiosity; 4 ordered responses [definitely not-definitely yes]), peer acceptability (definitely not-definitely yes), and perceived harm (definitely not-definitely yes). Mixed effects proportional odds models evaluated within-person effects of each factor (flavor, flavor name, cartoon) with each outcome. RESULTS: Participants reported greater appeal, susceptibility, and peer acceptability (OR range=3.7-16.9; ps<0.05), and lower perceived harm (OR=0.61; 95%CI=0.53, 0.70) for sweet (vs. tobacco-flavored) e-cigarettes; effects were progressively stronger for younger cohorts. The descriptive flavor name rated higher than the concept flavor (OR range=1.13-2.02; ps<0.05) or number only (OR range=1.18-1.69; ps<0.05) for appeal and susceptibility measures; no differences for concept vs. number were found. The cartoon image rated higher for appeal, curiosity, and peer acceptability (OR range=1.24-1.51; ps<0.05). CONCLUSIONS: Sweet flavors, descriptive flavor names, and cartoon images may increase the appeal of e-cigarettes among youth and young adults with no history of e-cigarette use, and are key targets for regulation.

Humans↗

PubMed2026

Exploring the mechanism of aroma production in fermented cherry juice by L. brevis LD1.0600 using flavomics and whole genome analysis.

This study focused on L.brevis LD1.0600 with excellent fermentation traits: it analyzed genome-wide key regulatory genes for micro-metabolites, combined with fermented cherry juice flavor metabolomics data, and used machine learning to explore correlations between gene regulation, metabolite production, and flavor formation. The SVM model screened and verified fermented cherry juice VOCs; through OAV and flavor wheel analysis, LD1.0600 emerged as the top-performing strain, with a sweet, fruity dominant aroma. Key aroma-active components (OAV > 100) included 2-methoxy-4-vinylphenol, benzaldehyde, 2-methyl-butanoic acid and hexanoic acid, and 2-methoxy-4-vinylphenol and hexanoic acid elevated by LD1.0600-regulated genes (Chrom1-001884, Chrom1-000925, fabF and Chrom1-000199). At the same time, through research, a "strain screening-SVM screening of DVCs-OAV screening of key aroma components-whole genome sequencing of flavor regulatory genes" system was established. This system can not only be applied to the screen fermentation strains, but also can be extended to the application of other fermentation products.

Fermentation↗

PubMed2026

Physician-Modified Fenestrated Stent-Grafts Planned Using Three-Dimensional Techniques for Complex Aortic Pathology: A Systematic Review and Meta-Analysis.

BACKGROUND: Complex aortic pathology involving the visceral arteries remains a significant therapeutic challenge. Open repair is associated with considerable perioperative risk, particularly in patients with multiple comorbidities, while standard endovascular aneurysm repair (EVAR) is often not feasible because of inadequate proximal sealing zones. Fenestrated and branched endovascular repair (F/BEVAR) represents an established treatment strategy; however, the use of custom-made devices is limited by manufacturing time and availability. Physician-modified stent grafts (PMSGs) have therefore emerged as a pragmatic alternative. Three-dimensional planning techniques have been increasingly used to facilitate accurate graft modification. The aim of this systematic review and meta-analysis was to evaluate the effectiveness and safety of PMSG procedures planned with three-dimensional techniques. Technical success, target vessel patency, early mortality, endoleak occurrence, and reintervention rates were analyzed. METHODS: A systematic search was conducted in the PubMed/MEDLINE and Embase databases. Studies describing the use of physician-modified fenestrated stent grafts planned with three-dimensional tools were included. Meta-analyses were performed using a random-effects model with restricted maximum likelihood estimation. A logit transformation was used for the analysis of proportions. RESULTS: The analysis included five studies involving 172 patients. The estimated weighted mean follow-up duration was 14.9 months. The overall technical success rate was 92.9% (95% confidence interval [CI]: 84.5-96.9%), with low-to-moderate heterogeneity. Target vessel patency was 96.9% (95% CI: 93.6-98.5%). Early mortality was 5.5% (95% CI: 2.1-13.3%). The incidence of endoleaks was 13.3% (95% CI: 5.8-27.4%), with significant heterogeneity among studies. Reinterventions were reported in 6.6% of patients (95% CI: 2.3-17.5%). CONCLUSION: The results indicate that PMSG procedures planned with three-dimensional techniques are associated with a high rate of technical success and preserved patency of target vessels in patients with complex aortic pathology. The observed variability in endoleak and reintervention rates likely reflects differences in anatomical complexity and patient selection among studies. Further prospective studies are needed to confirm long-term outcomes.

Humans↗

PubMed2026

A narrative review of what cohorts have taught us and how they have laid the foundation for much of our understanding of type 2 diabetes.

This narrative review provides a historical perspective on how observational research on type 2 diabetes has been developed and consolidated over the last 50 years and how well-designed cohort studies will provide us with knowledge for research and practice in the future and aid guideline development. We have included data from a large number of cohorts from every continent that have been used to study the development and/or progression of type 2 diabetes, including cohorts that are general population-based, disease-based, intervention-based and registry-based. We have structured the results from the past 50 years based on the following themes: diagnosis and screening, complications, risk factors and pathophysiology. We also discuss the strengths and weaknesses of observational research when compared with other research designs. Finally, we discuss the emerging and future directions for type 2 diabetes research using cohorts, which include novel developments, such as artificial intelligence, precision health and the exposome. We conclude that cohort research has significantly advanced our understanding of type 2 diabetes and aided guideline development, and complements experimental work, such as human randomised controlled trials and animal studies. Both approaches are essential and complementary in our pursuit to provide a more comprehensive understanding of the development and progression of type 2 diabetes, and to change dogma, practice and policies for better outcomes.

Humans↗

PubMed2026

Improving insurance deduction identification: a hybrid artificial intelligence model using machine learning and expert systems.

PURPOSE: Financial challenges in healthcare systems worldwide, especially in low- and middle-income countries like Iran, have increased hospitals' reliance on insurance reimbursements. Unrecognized insurance deductions often cause severe financial shortages, making efficient deduction management crucial. This study aimed to design a hybrid intelligent system for identifying and predicting insurance deductions by combining machine learning and expert system frameworks. DESIGN/METHODOLOGY/APPROACH: A mixed-methods design was applied in four stages. First, a scoping review identified the causes and patterns of insurance deductions. Second, interviews with 15 insurance experts produced a validated checklist and a dataset from inpatient billing records. Third, using the CRISP-DM methodology, machine learning algorithms were developed and tested in SPSS Modeler alongside a fuzzy expert system developed in MATLAB. Finally, the model was validated using the holdout method. FINDINGS: Four categories of deduction drivers were identified: service provision, registration errors, document submission issues, and revenue conversion processes. The CHAID decision tree outperformed other algorithms with a 99% precision rate and the lowest Mean Absolute Error (9.43). A brief assessment of potential overfitting was conducted to ensure that the CHAID model's high accuracy was interpreted cautiously and supported by the validation results. The fuzzy expert system with validated rules was adaptable for deduction classification, especially for cases unsuitable for quantitative modeling. ORIGINALITY/VALUE: The hybrid model improves detection and prevention of deductions, offering actionable insights for hospital administrators, insurers, and policymakers. Its implementation can enhance hospital information systems, streamline claims processing, and optimize revenue management amid financial constraints.

Machine Learning↗

PubMed2026

Real-time intraoperative perfusion assessment using indocianine green in pediatric extrinsic ureteropelvic junction obstruction with crossing vessel.

INTRODUCTION: In vascular hitch (VH) particular attention must be paid to preserving lower pole perfusion. Hypoperfusion is normally excluded by macroscopic visual assessment of parenchyma appearance. Our aim is to explore the possible role of indocyanine green (ICG) in highlighting focal hypoperfusion. MATERIALS AND METHODS: This prospective study included pediatric patients with UPJO caused by crossing vessels, treated with robot-assisted VH. Intraoperative evaluation assessed UPJ appearance, reduction of hydronephrosis after vessel mobilization, and the adequacy of pelvic drainage during diuretic testing. ICG was used to assess renal perfusion via NIRF imaging. A 25 mg ICG solution was prepared in 10 mL and administered in 1 mL doses. Fluorescence distribution, operative time, and complications were recorded. Follow-up at 3, 6, and 12 months included clinical evaluations, blood pressure measurements, and Doppler ultrasound. RESULTS: Eight patients (median age 8years) were enrolled between October 2023 and February 2025. ICG assessed renal perfusion post-procedure; one case of focal hypoperfusion due to vessel tension was resolved with intraoperative revision. At a median follow-up of 18 months, no hypertension, pain, or UTIs were observed. Ultrasound demonstrated improved hydronephrosis and normal Doppler flow. CONCLUSION: ICG angiography is a safe and effective tool for the real-time assessment of renal perfusion during pediatric VH procedures.

Humans↗

PubMed2026

Stretched penile length in boys with hypospadias: Population-based analysis using validated nomogram.

BACKGROUND: Hypospadias affects 1 in 200-300 male births. Parents are often concerned about penile adequacy beyond the urethral defect itself, yet few studies have systematically compared stretched penile length (SPL) in hypospadias against population-based reference standards. OBJECTIVE: To evaluate SPL distribution patterns in boys with Types I and II hypospadias and compare them with established normative data. METHODS: The authors studied 876 consecutive boys aged 1-14 years with unoperated Types I (distal) and II (mid-shaft) hypospadias. Two observers independently measured SPL using the validated SPLINT technique. The SPL measurements were compared against age-matched normative data from 1276 Indian children. Exact binomial probability tests were used for percentile distributions, chi-square tests for subtype comparisons and t-tests for mean deviations. RESULTS: The cohort included 479 Type I and 397 Type II cases. SPL distribution showed a marked leftward shift: 71% fell below the 50th percentile (expected 50%, p < 0.001) and 41.5% below the 25th percentile. Lower percentiles were overrepresented, 20.7% were below the 10th percentile and 20.8% in the 10th-25th range. Upper percentiles were depleted: only 7.4% in the 75th-90th range and 1.7% above the 90th percentile (all p < 0.001). Mean SPL was reduced by 6.8% (95% CI: -8.18 to -5.42%) in Type I and 7.5% (95% CI: -9.05 to -5.92%) in Type II. The two subtypes showed no significant distributional difference (χ2 = 6.22, p = 0.18), suggesting that meatal position does not predict SPL reduction. CONCLUSIONS: Boys with distal and mid-shaft hypospadias show clinically meaningful SPL reduction that follows a continuous distribution rather than an all-or-none pattern. SPL reduction appears independent of meatal position. These findings support routine SPL assessment using population-specific references and can guide preoperative counselling.

Humans↗

PubMed2026

Global Patterns of Net Ecosystem Exchange in peatlands: A Systematic Review and Meta-analysis of Drivers Across Land Use and Environmental Gradients.

Peatlands play an essential role in the global carbon cycle, storing approximately one-third of the world's soil carbon despite covering less than 3% of the land surface. Peatland degradation from anthropogenic activities and climate change can convert peatlands from net carbon sinks to sources by altering carbon cycling. Net Ecosystem Exchange (NEE), the balance between CO2 uptake and emission, is a critical indicator for assessing peatland condition and restoration efforts. We conducted a systematic quantitative literature review to investigate global patterns of NEE in peatlands and identify key environmental and anthropogenic drivers of CO2 flux variability. Annual NEE values from 120 globally distributed sites reported in peer-reviewed literature were analyzed in relation to climatic zone, land use, vegetation type, peatland condition, and water table depth. Our synthesis revealed significant geographic gaps, with peatland NEE studies substantially underrepresented in the Tropics, Africa, and Oceania. Agricultural peatlands emitted significantly more CO2 than sites under natural land uses or peat extraction, while degraded peatlands were significantly greater net CO2 sources than intact and restored systems. Restored peatlands remained net CO2 sources on average, emphasizing the importance of long-term monitoring and adaptive management following restoration interventions. Water table depth significantly affected NEE variability, with CO2 emissions increasing approximately 7.2 gCO2-C m-2yr-1 for every centimeter of water table drawdown. A substantial variability in measurement methods, data processing software, and protocols highlighted the critical need for methodological standardization. Our findings provide evidence-based targets for peatland conservation and restoration monitoring as nature-based climate solutions.

Ecosystem↗

PubMed2026

Spatial proximity or vector orientation? Re-evaluating ECG interpretation in anterior myocardial infarction using cardiac magnetic resonance.

BACKGROUND: The electrocardiogram (ECG) is widely used to infer infarct location and extent in anterior myocardial infarction (MI), based on either anatomical lead proximity or vectorial orientation of ST-segment deviation. However, the validity of these approaches against direct imaging of myocardial injury remains uncertain. METHODS: In this prospective study, 105 patients with anterior MI underwent cardiac magnetic resonance (CMR) imaging 3-7 days after presentation. Admission ECGs were analyzed using (1) conventional ECG localization categories, and (2) simplified frontal and horizontal ST-axis orientation. CMR-defined injury distribution was assessed using late gadolinium enhancement and myocardial edema imaging. RESULTS: Conventional ECG localization categories demonstrated no significant association with CMR-defined infarct distribution (P = 0.24), with poor agreement (κ = 0.122) and substantial overlap across categories. Simplified ST-axis orientation showed modest and inconsistent associations with infarct location and did not meaningfully explain infarct size. In contrast, global ST-segment burden was associated with CMR-defined infarct size (ΣSTE: standardized β = 0.307, P = 0.002; lead count: standardized β = 0.267, P = 0.007). CONCLUSIONS: In this selected cohort of reperfused LAD-related anterior STEMI patients undergoing early CMR, conventional ECG localization categories and simplified ST-axis orientation showed poor or inconsistent correspondence with CMR-defined infarct distribution, whereas global ST-segment burden showed a modest association with infarct size. These findings suggest that, in this cohort, the ECG may be better suited to reflect the extent of myocardial injury rather than its precise anatomical location.

Humans↗

PubMed2026

Liquid biopsy-based detection of circulating and exfoliated cholangiocarcinoma tumor cells from blood and bile using heparan sulfate octasaccharides on integrated microfluidic systems.

Early diagnosis of cholangiocarcinoma (CCA) remains challenging because existing diagnostic approaches often lack sufficient sensitivity for reliable detection of early-stage disease. Circulating tumor cells (CTCs) in blood and exfoliated tumor cells (ETCs) in bile represent valuable targets for liquid biopsy-based detection; however, their low abundance and the complexity of clinical sample analysis pose substantial technical challenges for reliable enrichment and identification. Herein, we present a reproducible workflow for isolating and identifying CCA tumor cells from blood for CTCs and bile for ETCs using synthetic cell-surface heparan sulfate (HS) octasaccharide-functionalized magnetic beads (MBs) on integrated microfluidic systems. The method combined sample pre-processing, magnetic bead-based enrichment, controlled low-shear mixing and immunofluorescence-based identification into a unified workflow compatible with distinct clinical sample types. Key operational parameters, including MB concentration, mixing frequency, and pressure settings, were detailed to facilitate consistent performance. Using this workflow, tumor cell capture rates of approximately 70% in bile (for ETCs) and blood (for CTCs) were achieved, with a total processing time of 60-90 min per sample under clinically relevant low-abundance conditions. The platform enables reliable detection of as few as 1 tumor cell per mL of blood or bile. This method provides a practical and adaptable strategy for glycosaminoglycan-mediated liquid biopsy applications and may be extended to other tumor-cell enrichment workflows involving heterogeneous cell-surface interactions.

Humans↗