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PubMed2026

Outcomes at rapid diagnostic centres and the association between non-specific symptoms and cancer: A systematic review and meta-analyses of up to 21,392 patients.

INTRODUCTION: Cancer remains a leading cause of mortality and poses a significant public health challenge. Several non-specific symptoms (NSSs) often indicate non-serious disease but can also accompany malignancy even in the absence of organ-specific signs. Therefore, the aim of the study was to comprehensively delineate the association between the most common NSSs (weight loss, fatigue, pain and nausea/appetite loss) and cancer or non-cancer diagnoses. METHODS: Database searches of PubMed and Embase were conducted applying search criteria to identify studies that investigated common NSSs in cancer patients diagnosed through rapid diagnostic centres (RDCs). The quality of the included studies was assessed using a modified Newcastle-Ottawa Scale (NOS). For each symptom, pooled relative risks (RRs) with 95% confidence intervals were derived using random-effects meta-analysis. RESULTS: Eleven studies met the inclusion criteria. All studies were considered to be of high methodological quality. The most frequent disease locations for cancer entities included hematologic, lung and lower gastrointestinal. Together with miscellaneous, rheumatic, and musculoskeletal conditions, these were the most common for non-cancer diagnoses. Nausea/appetite loss showed a statistically significant association with cancer (RR=1.20, 95%-CI 1.07-1.35). Pain showed a non-significant association (RR=1.07, 95%-CI 0.75-1.53) with substantial between-study heterogeneity, and weight loss showed a non-significant inverse trend (RR=0.92, 95%-CI 0.84-1.02). Fatigue showed no association with cancer (RR=1.00, 95%-CI 0.85-1.18). DISCUSSION/CONCLUSION: NSSs may be valuable for cancer risk assessment, but the associations remain modest. The complexity of patients' clinical presentations suggests that additional factors likely influence the cancer risk. Future research should examine symptom combinations and, where data allow, perform subgroup analyses.

Humans↗

PubMed2026

Mendelian randomisation for rheumatology: beyond hype-what it's good for, what it can't do, and how to read it critically.

Mendelian randomisation (MR) has become abundant in the literature, with variation in quality and frequent overinterpretation of causality. This creates a problem for clinical readers, reviewers, and editors: some MR studies can sharpen causal thinking, prioritise drug targets, and challenge misleading observational claims, whereas others are little more than automated exposure-outcome scans with causal claims disproportionate to the evidence. MR can strengthen causal inference when randomised trials are impractical and conventional observational studies are vulnerable to confounding, reverse causation, or selection bias. In rheumatology, credible MR can contribute to questions about disease aetiology, modifiable risk factors, therapeutic target validation, adverse-effect anticipation, and phenotype validation. However, its interpretation depends on whether the exposure is plausibly instrumentable, whether the genetic instruments are biologically defensible, whether assumptions are interrogated in ways appropriate to the design, and whether findings are triangulated with clinical, observational, experimental, and mechanistic evidence. Instead of recapitulating all methodological issues of MR, this review aims to help rheumatologists distinguish robust MR from weak or overinterpreted analyses quickly. We provide an accessible framework for reading and triaging MR studies in rheumatology. Papers that use poorly justified instruments, treat medication use as drug-target evidence, interpret genetic liability as diagnosis, rely on mechanical sensitivity analyses, ignore prior evidence or ask no clinically meaningful question can often be passed over by readers. The goal is not to discourage MR in rheumatology, but to raise the standard; useful MR should clarify causal reasoning rather than simply generate another statistically significant association.

Journal Article↗

PubMed2026

Comparison of ultrasound-guided two-point block of the rhomboid intercostal vs. thoracic paravertebral for postoperative analgesia in patients undergoing three-port thoracoscopic surgery: a prospective, randomized, non-inferiority study.

BACKGROUND: The anesthetic characteristics of ultrasound-guided two-point rhomboid intercostal block (RIB) have not been fully established. This study compared the analgesic efficacy of ultrasound-guided two-point RIB with that of two-point thoracic paravertebral block (TPVB) for postoperative pain control and recovery in patients undergoing three-port thoracoscopic surgery. METHODS: Seventy patients aged 18-80 years scheduled for three-port thoracoscopic pulmonary resection were block-randomized in a 1:1 ratio to receive either TPVB or RIB. Both techniques were performed using 10 mL of 0.5% ropivacaine at each injection site. The primary outcome was the numerical rating scale (NRS) pain score at rest 24 h after surgery, with a predefined non-inferiority margin of Δ = 1. Secondary outcomes included NRS at rest and during coughing at 0.5, 2, 4, 12, 18, 24, and 48 h postoperatively, as well as the 24h postoperative Quality of Recovery-40 (QoR-40) score. RESULTS: The final analysis included 34 patients in the TPVB group and 34 in the RIB group. The mean difference in resting NRS scores at 24 h between the two groups was 0.088 (95% CI, -0.377 to 0.553), confirming the non-inferiority of RIB. However, the need for rescue analgesia was numerically greater in the RIB group than in the TPVB group (p = 0.045). The 24-h postoperative QoR-40 scores and cumulative sufentanil consumption within 48 h after surgery were comparable between the groups (both p > 0.05). CONCLUSION: Ultrasound-guided two-point RIB provided postoperative analgesia that was non-inferior to TPVB in patients undergoing three-port thoracoscopic surgery.

Adolescent↗

PubMed2026

A mechanism-guided framework for prioritizing membrane-interaction anti-Vibrio peptides from peptidomics data.

A mechanism-guided framework for prioritizing membrane-interaction antimicrobial peptide candidates from proteomics-derived peptide mixtures is presented. The framework integrates conservative machine-learning-based antimicrobial peptide (AMP) screening with a literature-derived membrane-interaction plausibility (MAP) assessment and a data-driven membrane-interaction ranking function (AIPx), followed by structural visualization for interpretability. MAP encodes physicochemical characteristics commonly associated with peptide-membrane interaction and provides a graded plausibility assessment. Building upon this physicochemically interpretable framework, AIPx ranks peptides using feature weights calibrated from experimentally characterized anti-Vibrio peptides, where minimum inhibitory concentration (MIC) values are used as a coarse-grained ranking reference rather than a direct prediction target. In a peptidomics-based peptide fractionation study targeting Vibrio spp., AIPx exhibited a consistent relationship with experimentally observed antibacterial activity. Distributional analysis revealed that peptide fractions exhibiting high anti-Vibrio activity are characterized by enrichment of high-ranking peptides rather than by AMP abundance alone. By structuring AMP identification and prioritization as sequential stages, the MAP + AIPx framework enables interpretable and experimentally actionable candidate selection by reducing biologically implausible candidates. The framework facilitates species-oriented prioritization of AMP candidates, addressing a key challenge in antimicrobial peptide discovery where activity may depend on target-specific membrane characteristics. Moreover, the approach is extensible through species-specific calibration and supports interpretable, mechanism-informed prioritization in antimicrobial peptide discovery.

Proteomics↗

PubMed2026

Comparative effectiveness and safety of pharmacological interventions for sleep outcomes in chronic non-cancer pain: a systematic review and network meta-analysis.

Sleep disturbances are highly prevalent among individuals with chronic non-cancer pain and are associated with worse pain severity and poorer prognosis. The comparative trade-offs between the effectiveness and safety of available pharmacotherapies for sleep outcomes in this population remain poorly defined. Ninety-eight RCTs involving 28,920 participants (mean age 53.2 years, 71.2% female) were included. Moderate-certainty evidence demonstrated that melatonin significantly improved sleep quality compared with placebo (standardized mean difference [SMD] = -0.60, 95%CI: -0.98, -0.22). Ten agents (e.g., amitriptyline, oxycodone, gabapentin, pregabalin, duloxetine) also showed statistically significant improvements in subjective sleep quality (SMD = -0.24 to -1.07), but most effects were supported by low-certainty evidence and were accompanied by an increased risk of adverse events (odds ratio [OR] = 1.90 to 37.00). Conversely, melatonin was not associated with an increased risk (OR = 0.88, 95%CI: 0.19, 3.94). Our findings indicate that melatonin shows promise as a safe, adjunctive option for improving sleep quality in this population, but larger, condition-specific trials are warranted to confirm these effects. Other pharmacological agents are limited by lower-certainty and unfavorable safety profiles. These results should be interpreted cautiously given limited direct comparisons, heterogeneous chronic pain populations, the high proportion of trials at high risk of bias, and the predominance of subjective sleep outcomes.

Humans↗

PubMed2026

Non-smoked cannabis consumption formats and Cannabis Use Disorder severity in an illicit setting: Evidence from Chile, 2020-2024.

BACKGROUND: Cannabis Use Disorder (CUD) has become an increasing public health burden, particularly in Chile. Non-smoked cannabis formats and products have been independently associated with CUD but remain understudied in the region. This study compares CUD severity among individuals aged 12 to 65 in Chile who consume cannabis via edibles, vaporization or both versus those who exclusively smoke it. METHODS: We obtained secondary data from three waves of the Chilean National Survey on Drugs in the General Population (ENPG), a three-stage stratified probabilistic sampling design study conducted in 2020, 2022, and 2024. Our pooled cross-sectional sample included individuals (n = 3543) who reported cannabis use in vaped, edible, both vaped and edible or exclusively smoked format in the past 12 months. We used a partial proportional odds model to estimate the association between CUD severity and consumption formats. RESULTS: Cannabis vaping group showed higher odds of presenting at least mild CUD (OR = 6.21 [95% CI: 3.75-10.3]), as did the edible group (OR = 1.73 [95% CI: 1.08-2.78]) and both group (OR = 5.92 [95% CI: 2.72-12.87]), compared to exclusive smokers. However, only the vaped group demonstrated higher odds for all severity levels. CONCLUSION: Compared with exclusive smokers, users of vaporizers and/or edibles showed a stronger association with CUD. This association may be explained by consumption patterns and total THC exposure. Further research is needed to characterize the average THC exposure by consumption format, acknowledging contextual confounders such as the legal framework.

Humans↗

PubMed2026

Non-genetic Risk Factors for Allopurinol-Induced Severe Cutaneous Adverse Reaction (SCAR): A Systematic Review.

BACKGROUND: Allopurinol-induced severe cutaneous adverse reactions (SCARs) are rare but potentially life threatening, particularly in Asian populations. While the genetic marker HLA-B*58:01 is a well-established risk factor, non-genetic factors may also contribute. This systematic review synthesizes evidence on associations between non-genetic risk factors and allopurinol-induced SCAR. METHODS: We searched MEDLINE, Scopus, Cochrane Library and Web of Science from inception to 29 June 2026 for observational studies examining non-genetic risk factors for SCAR, defined as Stevens-Johnson Syndrome, Toxic Epidermal Necrolysis, Acute Generalised Exanthematous Pustulosis, or Hypersensitivity Syndrome/Drug Reaction with Eosinophilia and Systemic Symptoms. Adults aged ≥ 18 years were included. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using a random-effects model; heterogeneity was assessed with I2. Mean differences were calculated for continuous variables. NIH Study Quality Assessment Tool was used for quality assessment of the studies. RESULTS: Twenty-six studies were included. Female sex (20 studies; 3340 SCAR cases, 562,647 controls) was associated with an increased risk of allopurinol-induced SCAR (OR 2.06; 95% confidence interval (CI) 1.25-3.38). Chronic kidney disease (16 studies; 1625 SCAR cases, 553,804 controls) was also significantly associated with SCAR (OR 3.78; 95% CI 1.99-7.17). Five studies (177 SCAR cases, 1368 controls) reported higher allopurinol doses among SCAR cases than tolerant controls (mean difference 19.61 mg; 95% CI 2.97-36.24). No significant associations were observed for age or concomitant diuretic use in the primary meta-analyses. Substantial heterogeneity was observed across studies. Sensitivity analyses demonstrated consistent findings for most factors, although concomitant diuretic use became significantly associated with SCAR after exclusion of non-Asian and zero-event studies. CONCLUSION: CKD, female sex, and higher allopurinol dose were identified as significant non-genetic risk factors for allopurinol-induced SCAR. These findings support consideration of non-genetic factors alongside pharmacogenomic screening in future risk-stratification strategies. However, substantial heterogeneity and potential publication bias limit the certainty of the available evidence. Well-designed studies evaluating non-genetic predictors as primary outcomes are needed to develop robust integrated risk prediction models for clinical decision making.

Journal Article↗

PubMed2026

Chinese herbal medicine Xiangsu Hewei Granules in treating non-erosive gastroesophageal reflux disease with liver stomach stagnation heat syndrome: A multicentre, randomized, double-blind, placebo-controlled trial.

ETHNOPHARMACOLOGICAL RELEVANCE: Xiangsu Hewei Granules are an herbal preparation that has shown potential for controlling symptoms of nonerosive gastroesophageal reflux disease (NERD) in preliminary studies. However, high-quality randomized controlled evidence for its use in NERD remains lacking. AIM: To verify the efficacy and safety of Xiangsu Hewei Granules in treating NERD with liver stomach stagnation heat syndrome. MATERIALS AND METHODS: This randomized, double-blind, placebo-controlled, multicentre phase III trial included 480 patients (aged 18-65 years) with confirmed NERD (GerdQ≥8; negative H. pylori) and traditional Chinese medicine (TCM) liver stomach stagnation heat syndrome. Patients were randomized 3:1 to receive either Xiangsu Hewei Granules or placebo, thrice daily for 8 weeks. The primary outcomes were the effective rate of the response based on visual analog scale (VAS) scores for heartburn and acid regurgitation at week 8. The secondary outcomes included reductions in the TCM syndrome score, etc. RESULTS: 479 participants (mean age 48.5 years, SD10.2; 54.3% female) entered the full analysis set and safety set (360 tests group; 119 control group, 1 participant in the control group withdrawing before medication). At week 8, compared with the control group, the test group demonstrated significantly better effective rate of VAS score response for heartburn(76.39% vs 21.01%, 95% CI 55.38 (45.98, 62.94) %, p < 0.01),acid regurgitation (79.72% vs 23.53%, 95% CI56.39 (46.90, 64.12) %, p < 0.01), and TCM syndrome score (69.23% vs 30.13%, p < 0.01) at week 8. CONCLUSION: In this selected population of NERD patients with liver-stomach stagnation heat syndrome (e.g., negative H. pylori, no pH-impedance phenotype, and low anxiety/depression scores), Xiangsu Hewei Granules demonstrated efficacy and safety in improving heartburn, acid regurgitation, and TCM syndrome scores. However, generalizability to the broader NERD population and its comparative effectiveness against standard proton pump inhibitor therapy require further investigation.

Humans↗

PubMed2026

Frontline therapies for adult patients with newly diagnosed Philadelphia chromosome-negative B-cell acute lymphoblastic leukemia: a systematic literature review.

OBJECTIVES: Philadelphia (Ph) chromosome-negative B-cell acute lymphoblastic leukemia (B-ALL) is the most common ALL in adults. Overall survival (OS) with frontline chemotherapy remains poor. Blinatumomab is currently the only targeted agent approved for frontline treatment. METHODS: We systematically reviewed 96 studies (43 interventional, 53 observational) between 2012-2026 evaluating frontline pharmacologic therapy in adults with Ph- B-ALL. RESULTS: Across chemotherapy studies, nearly half of patients relapsed within 3 years, and only 49%-69% survived beyond 3 years. Blinatumomab demonstrated robust and consistent efficacy in first complete response (CR1), supported by 2 randomized controlled trials (RCT) and 16 single-arm trials (SAT). In one RCT, blinatumomab reduced the risk of death by 59% versus chemotherapy alone (HR 0.41) when added to frontline consolidation in minimal residual disease (MRD) negative patients. Median OS reached 41.2 months in a SAT where blinatumomab monotherapy was administered to patients in MRD-positive CR1. SATs showed consistent efficacy outcomes regardless of age, MRD status, or chemotherapy backbone. DISCUSSION: Additional targeted therapies still under investigation have shown mixed results. CONCLUSION: Frontline inotuzumab (±blinatumomab) plus chemotherapy showed promise in older populations, while the efficacy benefit of rituximab was inconclusive. No new safety signals were identified in the frontline setting for targeted therapies.

Humans↗

PubMed2026

Variability and ozone formation potential of ambient non-methane hydrocarbons in a tropical semi-arid atmosphere of northwest India.

We present first-time measurements of twenty-six ambient non-methane hydrocarbons (NMHCs; C2-C8), including isoprene (C5H8), at a semi-arid site in northwest India (Ajmer; 26.45°N, 74.64°E), during January 2022-December 2023. Ambient samples were analyzed using a thermal desorption gas chromatography system equipped with dual flame ionization detectors. Daily total NMHC levels ranged from 6 ppbV to >100 ppbV. Most NMHCs, except isoprene, toluene, ethylbenzene, m-xylene and o-xylene, exhibited the highest levels in winter and the lowest in the monsoon. In contrast, others were highest in the pre-monsoon and toluene was highest during monsoon. These variations reflect the combined influence of emissions, chemistry and meteorology. Toluene and o-xylene were the dominant NMHCs (25 %-67 %). Correlation analyses indicated major contributions from liquefied petroleum gas (LPG) and vehicular emissions, with additional influence from urban and oil and natural gas activities. Compared with other Indian sites, NMHCs levels at Ajmer were 2-5 times lower than Ahmedabad and Udaipur and 10 times lower than Delhi. The total ozone formation potential was highest in the monsoon (about 175 ppbV) and lowest in the post-monsoon (about 55 ppbV), with dominance of o-xylene (24 %-33 %) and toluene (8 %-37 %). Propylene-equivalent concentrations were highest in the pre-monsoon (30.23 ppb C) and lowest in the post-monsoon (7.28 ppb C). Similarly, OH reactivity was highest in the pre-monsoon (19.58 s⁻¹) and lowest in the post-monsoon (4.71 s⁻¹), dominated by benzene and toluene. These findings emphasize the importance of NMHC chemistry in a climatically sensitive region and highlight the need for their continuous monitoring.

India↗

PubMed2026

Comparison of summative assessments between simulated electronic health records versus traditional paper-based patient cases: A non-inferiority randomized controlled trial.

INTRODUCTION: Electronic health records are fundamental to contemporary pharmacy practice, yet evidence supporting their use in pharmacy education is lacking. This single-center, non-inferiority randomized controlled trial with blinded outcome assessment evaluated whether delivering patient cases via a simulated academic EHR (aEHR) was non-inferior to a traditional paper-based format in student exam performance. METHODS: 53 third-year PharmD students at the University of British Columbia were randomized 1:1 to complete a mock summative examination using either the aEHR or paper-based case delivery, stratified by self-reported EHR comfort level. The primary outcome was mean written exam score (%). Non-inferiority was pre-specified at a margin of 14%. Adjusted linear regression was used for the primary analysis, with a multiple imputation sensitivity analysis. Student perceptions were explored through post-exam focus groups analyzed using inductive thematic analysis. RESULTS: 42 students (21 per group) completed the exam and were included in the primary analysis. Mean scores were 66% (SD 11) in the aEHR group and 68% (SD 10) in the paper group. The adjusted mean difference (paper minus aEHR) was -2.2% (95% CI -9.2% to +4.8%), satisfying non-inferiority but not superiority. Sensitivity analysis (n = 53) yielded consistent results (-2.3%; 95% CI -7.1% to +4.1%). Focus groups revealed initial student anxiety with the aEHR but recognized its alignment with clinical practice. DISCUSSION: These findings support the feasibility of integrating simulated EHRs into summative pharmacy assessments without compromising performance. CONCLUSION: Simulated EHRs are a non-inferior assessment medium compared with paper-based formats and represent a viable step toward technology-driven pharmacy practice environments.

Humans↗

PubMed2026

Biomimetic mesoporous silica nanosphere ameliorate experimental autoimmune uveitis by delivering sCD83.

Autoimmune uveitis (AU) is an autoimmune disease that may lead to blindness, but there are currently no precise targeted therapies for its prevention and treatment. Dendritic cell (DC) is key cell involved in the pathogenesis of AU, and specific regulation of their state can help improve AU. In this work, mesoporous silica nanospheres were loaded with the immunomodulator soluble CD83 (sCD83) and subsequently camouflaged with dendritic cell (DC) membranes to fabricate the nanocarrier DCM@MSN/sCD83 for treating experimental autoimmune uveitis (EAU). Research results show that DCM@MSN/sCD83 effectively alleviated the symptoms of uveitis in EAU, reduced the proportion of CD4+CD25-T cell/CD4+CD25+T cell and the percentage of DC in the eyes and cervical lymph nodes. It also decreased the expression of STING in Müller cell. Furthermore, the efficacy of DCM@MSN/sCD83 was found to be primarily targeting DC, and promoted the expression of IL-10 and TGF-β1 in DC by activating the phosphorylated HIF/STAT3 pathway, to induce the production of CD4+CD25+ T. This effect is superior to nanomedicine loaded with dexamethasone. Moreover，DCM enabled the nanocarriers to efficiently cross the blood-eye barrier and reach cervical lymph nodes, thereby regulating peripheral immunity. This research indicate that cell membrane-modified nanoparticles targeting homologous cells can effectively improve treatment efficiency and duration, which is potential therapy strategy for uveitis.

Animals↗

PubMed2026

Urinary Small Extracellular Vesicle DNA as a Biomarker for the Non-Invasive Diagnosis of Bladder Cancer.

Existing diagnostic technologies for bladder cancer (BC) suffer from low sensitivity, low specificity, or a lack of validation. Therefore, validated, non-invasive diagnostic biomarkers with high sensitivity and specificity for early detection of BC are needed to complement and improve upon the limitations of existing diagnostic methods. We used low-pass whole genome sequencing (LP-WGS) technology to detect copy number variations (CNVs) in small extracellular vesicle (sEV) DNA isolated from urine samples of patients. Based on these results, we constructed and validated a diagnostic model to differentiate between benign and malignant bladder lesions. We conducted a receiver operating characteristic analysis and calculated the area under the curve (AUC) to evaluate the performance of the diagnostic model. The urine sEV-DNA LP-WGS data revealed CNV differences between benign and malignant samples. The diagnostic model achieved an AUC of 0.953, a sensitivity of 86.7%, and a specificity of 100% in the training cohort and an AUC of 0.985, a sensitivity of 90%, and a specificity of 100% in the validation cohort. Even at the lowest coverage depth of 0.01X, the performance of the diagnostic model remained relatively robust. Notably, the performance of this diagnostic model surpassed that of the biomarker neuron-specific enolase (sensitivity: 85.7% vs. 64.3%; specificity: 100% vs. 87.5%) and urinary cytology (sensitivity: 100% vs. 66.7%; specificity: 100% vs. 94.1%). Our study demonstrates that urine sEV-DNA exhibits high discriminatory power in distinguishing between benign and malignant bladder lesions, making it a promising tool for auxiliary diagnosis of BC.

Humans↗

PubMed2026

Deep brain stimulation for Tourette syndrome: a systematic review and meta-analysis.

Deep brain stimulation (DBS) has emerged as a promising neuromodulatory therapy for patients with refractory Tourette syndrome (TS). Various brain targets-including the globus pallidus internus (GPi) and several thalamic nuclei-have been explored, yet the comparative efficacy of DBS in different targets remain unclear. This meta-analysis aims to evaluate the clinical efficacy of DBS in TS and assess symptom improvements across different stimulation targets. A systematic search of PubMed, Embase, and Web of Science identified studies published between October 2014 and September 2025. Study quality was assessed using the French and Gronseth classification system. Outcomes of interest included pre- and postoperative scores on the Yale Global Tic Severity Scale (YGTSS) and Yale-Brown Obsessive Compulsive Scale (YBOCS). A total of 22 studies involving 358 patients were included in this meta-analysis. Mean YGTSS scores decreased from 69.19 ± 18.04 preoperatively to 35.88 ± 17.23 postoperatively. There was an average 48% reduction in YGTSS scores. DBS led to a substantial reduction in tic severity (YGTSS: GPi, SMD = 2.29, P < 0.00001; thalamus, SMD = 2.33, P < 0.0001). Within the GPi subgroup, stimulation of the anteromedial GPi (amGPi) resulted in significantly better benefits (SMD = 3.01, P < 0.00001) compared to the posterior-ventrolateral GPi (pvlGPi), which did not reach statistical significance (SMD = 1.23, P = 0.05). YBOCS scores decreased from a mean of 17.38 ± 6.15 preoperatively to 9.16 ± 4.12 postoperatively. The average reduction in YBOCS scores was 47%. Obsessive-compulsive disorder (OCD) symptoms also showed significant improvement following DBS (overall YBOCS, SMD = 0.94, P < 0.00001; amGPi, SMD = 1.49, P = 0.004; pvlGPi, SMD = 0.72; P = 0.006). DBS is an effective and target-sensitive intervention for TS, alleviating both motor tics and obsessive-compulsive symptoms. Compared to therapies such as pvlGPi and thalamic-DBS, amGPi-DBS may demonstrate greater therapeutic potential compared with pvlGPi-DBS, suggesting its potential advantage in modulating the associated circuits involved in the pathophysiology of TS.

Humans↗

PubMed2026

Comparing Traditional Motor Speech Practice to Contextualized Speech Practice in Preschoolers With Childhood Apraxia of Speech.

PURPOSE: The aim of this study was to compare retention of real-word targets across practice conditions (contextualized vs. motor-only) within a modified integral stimulation treatment for preschoolers with childhood apraxia of speech (CAS). METHOD: A single-subject experimental design with alternating treatments was used with matched target sets randomly assigned to contextualized practice, motor-only practice, or no treatment. Three preschoolers with CAS completed 18 therapy sessions, each consisting of two 25-min blocks: one contextualized practice and one motor-only practice. Order of practice was randomized each visit. Changes in percent phonemes correct (PPC) and lexical stress accuracy, derived from blinded transcription, were explored with visual analysis and effect sizes (standardized mean difference, d statistic). RESULTS: Meaningful improvements (d > 1) were observed in PPC across words treated in contextualized practice for all three children immediately posttreatment and for two of three children at the 1-month follow-up. Meaningful improvements in the motor-only condition were observed in two of three children immediately posttreatment and at follow-up. No meaningful changes were observed in lexical stress across any conditions in any participant. CONCLUSIONS: This study provides preliminary support for the feasibility of a modified integral stimulation therapy that incorporates elements of linguistically grounded therapies (linguistic retrieval, recasts, expansions) that may facilitate target retention in some preschoolers with CAS. However, other elements should be explored in conjunction with integral stimulation to maximize clinical outcomes. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.33228981.

Humans↗

PubMed2026

Machine learning vs. traditional methods for predicting postoperative cardiac complications after non-cardiac surgery: a systematic review and Bayesian network meta-analysis.

INTRODUCTION: Accurate prediction of peri-operative cardiac complications is critical to optimise pre-operative decision-making. Traditional risk prediction scores, such as the Revised Cardiac Risk Index, show only modest discrimination. Machine learning can model complex, non-linear relationships but their predictive performance compared with traditional scores remains unclear. METHODS: We performed a systematic review and Bayesian network meta-analysis. The primary outcome was postoperative adverse cardiac events following non-cardiac surgery. Prediction models were assessed relative to the Revised Cardiac Risk Index. As many studies evaluated multiple versions of each model type, the highest performing ('best version') and lowest performing ('worst version') results were analysed. Models were ranked using the surface under the cumulative ranking curve (SUCRA). RESULTS: Thirteen studies evaluating 54 models and 927,113 patients were included. Machine learning approaches generally outperformed traditional risk scores. Automated machine learning ranked highest (SUCRA 96.6) showed the greatest improvement in the best version analysis (mean difference (MD) 0.28 (95%CrI 0.16-0.40)) and remained superior in the sensitivity analysis (MD 0.30 (95%CrI 0.14-0.45)). Gradient boosting models showed superior performance over the Revised Cardiac Risk Index across analysis (best version: MD 0.20 (95%CrI 0.14-0.26), worst version: MD 0.18 (95%CrI 0.12-0.25), SUCRA 82.4). The Gupta Perioperative Risk for Myocardial Infarction or Cardiac Arrest score outperformed the Revised Cardiac Risk Index in the best version analysis (MD 0.16 (95%CrI 0.01-0.32)). Between-study heterogeneity was low. None of the included studies externally validated their machine learning models and only six were judged to be at low risk of bias. DISCUSSION: Most machine learning models showed better discrimination than traditional risk scores, with automated machine learning and gradient boosting models ranking highest. However, study quality, calibration reporting and absence of external validation limit immediate clinical adoption. Prospective, multicentre evaluation is required before integration of these models into peri-operative practice.

Humans↗

PubMed2026

Non-linear predictive modeling and comprehensive meta-analysis of rectal temperature in Santa Inês sheep: a systematic review of thermal challenges and biometerological trends.

A systematic and bibliometric review, combined with a meta-analysis, was used to adjust an equation for estimating the physiological responses of Santa Inês sheep subjected to different thermal challenges. The systematic review compiled data on physiological responses and the thermal environment, which were then used in the meta-analysis to adjust regression models. The bibliometric analysis mapped the relationships among studies, highlighting their usefulness in interpreting research findings and biases. Addressing prior methodological critiques, the core of this study involves replacing the linear approach with a non-linear segmented regression model to accurately define the Thermal Neutral Zone (TNZ). The Segmented Regression Model was crucial, establishing the upper limit of the Thermal Neutral Zone (TNZ) at an air temperature (tair) of 34.64 °C, where trectal begins to increase abruptly. The model, while identifying a biologically significant breakpoint, exhibited a moderate Multiple R-squared of 0.3529, highlighting the high heterogeneity and methodological variability in the current Santa Inês literature. This non-linear approach offers a biologically superior tool for identifying the onset of thermal distress.

Animals↗

PubMed2026

Fractional laser therapy versus microneedling for non-acne scars and scar-like dermal fibrotic lesions.

BACKGROUND: Scarring caused by trauma, burns, surgery, and other dermal fibrotic conditions can lead to functional limitation and cosmetic distress. The comparative effectiveness of fractional laser therapy and microneedling for non-acne scars remains uncertain. METHODS: We conducted a systematic review and meta-analysis of randomized controlled trials comparing fractional laser therapy with microneedling for non-acne scars and scar-like dermal fibrotic lesions. Following a PROSPERO-registered protocol and PRISMA guidelines, we searched PubMed, EMBASE, Web of Science, Cochrane Library, and CNKI from inception to May 2026 without language restrictions. Parallel-group and split-body randomized trials were eligible. Random-effects models were used to calculate standardized mean differences (SMDs) for continuous outcomes and odds ratios (ORs) for dichotomous outcomes. RESULTS: Nine randomized controlled trials were included. Fractional laser therapy showed a statistically significant advantage over microneedling in scar scores (SMD = -0.99, 95% CI [-1.83, -0.15], P = 0.02) and collagen fiber regeneration (SMD = -2.14, 95% CI [-3.57, -0.72], P = 0.03). No statistically significant differences were found between the two interventions for elastic fiber improvement, epidermal thickness, or adverse events. Subgroup analyses did not show clear or consistent significant differences according to laser type, including comparisons between traditional and non-traditional fractional lasers and between CO₂ and non-CO₂ fractional laser systems. Substantial heterogeneity was observed across several outcomes, indicating considerable between-study variability. CONCLUSION: Based on currently available randomized evidence, fractional laser therapy may provide superior improvement in overall scar severity and collagen fiber regeneration compared with microneedling for non-acne scars and scar-like dermal fibrotic lesions. However, no clear differences were observed for elastic fiber improvement, epidermal thickness, or adverse-event incidence. Given the substantial heterogeneity, limited sample sizes, and possible reporting bias, these findings should be interpreted cautiously. Further large, standardized trials with longer follow-up are needed.

Humans↗