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PubMed2026

Perioperative care for patients with opioid exposure and opioid use disorder: screening and treatment strategies.

PURPOSE OF REVIEW: The prevalence of opioid tolerance, dependence, and use disorder is increasing among patients presenting for surgical care, yet perioperative management strategies for these patients remain inconsistent. This review examines the impact of preoperative opioid exposure on surgical outcomes, the scope of untreated opioid use disorder (OUD) among surgical patients, and advances in clinical and systems-level approaches to perioperative care. RECENT FINDINGS: Preoperative opioid exposure independently predicts worse surgical outcomes, including higher opioid consumption, readmissions, complications, and mortality, in a dose-dependent manner. Perioperative opioid exposure predicts persistent opioid use after surgery, with the duration of exposure a stronger predictor of subsequent OUD than daily dose. Data-driven prescribing guidelines and structured opioid tapering reduce overprescribing without compromising pain control. Among surgical patients with diagnosed OUD, approximately two-thirds do not receive medications for opioid use disorder (MOUD), though treatment engagement and maintenance substantially improve outcomes. Evidence now clearly supports perioperative buprenorphine continuation over interruption. SUMMARY: Effective perioperative management of opioid-complex surgical patients requires systematic screening, evidence-based prescribing, MOUD continuation, and institutional infrastructure. The primary barrier is shifting from evidence generation to implementation.

Humans↗

PubMed2026

Comparison of Iodinated Contrast Doses Based on Total Body Weight and Lean Body Weight in Pediatric Patients: Impact on Image Quality and Contrast Exposure.

INTRODUCTION: Iodinated contrast dosing in pediatric computed tomography (CT) traditionally relies on total body weight (TBW), which may result in excessive contrast administration, particularly in patients with higher adiposity. Lean body weight (LBW)-based protocols have shown promise in adults but remain underexplored in children. Therefore, the aim of this study was to compare contrast volume requirements and hepatic enhancement quality among three dosing protocols: LBW-based, TBW-based, and the Control Group (CG), based on the institutional standard for pediatric abdominal CT. METHODS: This prospective study enrolled 66 patients (age 0-16 years) undergoing contrast-enhanced abdominal CT between September 2023 and August 2024. Patients were randomly assigned to receive iodinated contrast (iobitridol 350mg I/mL) dosed by: (1) LBW (0.63 g iodine/kg x LBW, calculated using Peters formula; n = 23), (2) TBW (0.46 g iodine/kg x TBW; n = 20), or (3) institutional control protocol (2 mL/kg x TBW, equivalent to 0.7 g iodine/kg; n = 23). Kruskal-Wallis, ANOVA, Two-way ANOVA, ANCOVA, Scheirer-Ray-Hare, and Cohen's Kappa tests with Likert scale were used. RESULTS: The LBW group received lower median contrast volumes (27 mL; IQR, 10-80 mL) compared to the TBW group (34.5 mL; IQR, 18-78 mL) and the CG group (40 mL; IQR, 13-80 mL), although the differences did not reach statistical significance (P > 0.05). Notably, this reduction did not compromise hepatic enhancement, which remained comparable to the CG (552 ± 139 HU; P = 0.107). CONCLUSION: Lean body weight may be a useful parameter for estimating contrast dose in pediatric abdominal CT, potentially reducing administered volumes without compromising diagnostic image quality. IMPLICATIONS FOR PRACTICE: These results provide early evidence that LBW-based dosing may support more individualized contrast administration in pediatric CT, potentially reducing exposure-related risks.

Humans↗

PubMed2026

Interest holder-driven research priorities in sexual and reproductive health for migrant and refugee adolescents and young adults in Australia.

OBJECTIVE: To identify and prioritise sexual and reproductive health research priorities for migrant and refugee adolescents and young adults in Australia using a priority setting partnership approach. METHODS: A James Lind Alliance priority setting partnership was conducted with 92 interest holders: 31 youth from migrant and refugee backgrounds and 61 professionals (healthcare providers, researchers, policymakers and community leaders), recruited online and in-person. The priority setting partnership process included a rapid evidence scan, an online uncertainty survey, evidence verification, interim prioritisation and a final consensus workshop. RESULTS: Eighty-three research uncertainties yielded 11 final priorities across four sexual and reproductive health domains: sexual and reproductive health literacy, sexual violence prevention, accessible services and maternal health. A striking divergence emerged between youth and professional priorities only 3 achieved combined high-priority consensus. Youth prioritised a broader range of topics, including abortion access (rated high by youth but low by professionals), while professionals prioritised fewer areas. Two priorities achieved consensus: community-based maternal health support and barriers to reporting gender-based violence. CONCLUSION: This is the first priority setting partnership to identify sexual and reproductive health research priorities for migrant and refugee youth in Australia and to uniquely highlight substantial misalignment between youth and professional priorities. IMPLICATIONS FOR PUBLIC HEALTH: These identified priorities provide a foundation for targeted research, culturally responsive policy and more equitable sexual and reproductive health service provision for migrant and refugee adolescents and young adults.

Australia↗

PubMed2026

Application of musculoskeletal ultrasound in postoperative rehabilitation assessment and monitoring after rotator cuff repair: A systematic review.

BACKGROUND: The development of rehabilitation protocols after rotator cuff repair has long lacked objective benchmarks. Traditional time‑based regimens are limited by considerable inter‑individual variability and an increased risk of re‑tear. Musculoskeletal ultrasound allows dynamic assessment of tendon healing and muscle morphology, yet evidence for directly linking its use to rehabilitation decisions remains scarce. OBJECTIVE: To systematically synthesize the evidence on the use of musculoskeletal ultrasound monitoring to inform rehabilitation decision‑making after rotator cuff repair. METHODS: Following the Preferred Reporting Items for Systematic Reviews and Meta‑Analyses (PRISMA) guidelines, we searched PubMed, China National Knowledge Infrastructure (CNKI), and Wanfang Data from January 2020 to April 2026. Original studies were included if they involved patients who had undergone rotator cuff repair, used musculoskeletal ultrasound (including gray‑scale ultrasound, elastography, etc.) to evaluate the rotator cuff tendons or shoulder muscles, and reported at least one parameter related to rehabilitation decision-making or functional outcomes. RESULTS: Eleven studies were included. Shear wave velocity (SWV), cross‑sectional area (CSA), and echo intensity (EI) were the most frequently reported ultrasound parameters. Available evidence indicated that SWV increased progressively after surgery, with an overall increase of approximately 22% to 25% from one week to 12 months postoperatively. This dynamic trajectory may serve as a reference baseline for judging rehabilitation progress. An abnormally elevated SWV in the early postoperative period was associated with an increased risk of re‑tear, suggesting that a more conservative rehabilitation strategy should be adopted. Tendon stiffness measured at 12 weeks after surgery independently predicted long‑term return to sport. Regarding muscle parameters, changes in CSA and EI were positively correlated with shoulder function scores, and the combination of these two parameters effectively identified patients with rehabilitation bottlenecks. CONCLUSION: Musculoskeletal ultrasound parameters are associated with the initiation of active movement, adjustment of exercise load, prediction of return‑to‑sport prognosis, and identification of retear risk. Among these, SWV shows particular promise as an objective monitoring parameter for supporting rehabilitation assessment after rotator cuff repair. Future randomized controlled trials are needed to determine whether ultrasound-informed assessment can improve rehabilitation outcomes compared with traditional time-based regimens, and to establish standardized measurement protocols and clinically applicable reference values. Key findings of this review are summarized in S1 File.

Humans↗

PubMed2026

Endoscopic Ultrasound-Guided Versus Transjugular Portal Pressure Measurements: Systematic Review and Meta-Analysis.

PURPOSE: Published reviews of endoscopic ultrasound-guided portal pressure gradient (EUS-PPG) have emphasized feasibility and safety. We performed a systematic review and meta-analysis specifically to evaluate how closely EUS-based portal pressure measurements track invasive comparator measurements in prospective paired studies and to summarize agreement, technical success, and adverse events. METHODS: We searched major databases through January 2026 for prospective cohorts reporting same-patient EUS-based portal pressure measurement and invasive hemodynamic measurements. Correlations were pooled with random-effects models and analyzed separately for studies comparing EUS-PPG with hepatic venous pressure gradient (HVPG) and studies comparing EUS-based portal measurements with direct portal venous pressure. Agreement and threshold discordance were summarized descriptively. RESULTS: Six prospective cohorts (127 attempted procedures) were included. In studies using HVPG as the comparator, the pooled correlation was 0.82 (95% CI, 0.72-0.89; I2 = 0%). In studies comparing EUS-based portal measurements with direct portal venous pressure, the pooled correlation was 0.86 (95% CI, 0.72-0.93; I2 = 16.9%). Technical success was 95.3%. EUS-PPG-attributed adverse events occurred in 2.4% of procedures, with no procedure-related deaths. Agreement data were limited. Reported limits of agreement were wide (approximately - 6 to + 7 mmHg), and discrepancies of 5 mmHg or greater occurred in 4 of 30 paired measurements. CONCLUSIONS: EUS-based portal pressure measurement is feasible and shows a strong association with invasive hemodynamic comparators, but the evidence base remains small (six cohorts, 127 attempted procedures). Further study will be necessary to establish patient-level agreement, procedural reproducibility, EUS-specific clinically significant portal hypertension thresholds, and whether HVPG-based decision thresholds can be transferred to EUS-derived measurements.

Humans↗

PubMed2026

Effectiveness of different anaesthetic techniques, agents and adjunctive interventions in handling pain during dental treatment of MIH-affected teeth: a systematic review.

BACKGROUND: Molar incisor hypomineralisation (MIH) is frequently associated with hypersensitivity, dental anxiety and reduced efficacy of local anaesthesia, complicating pain control during dental treatment in children. AIM: To evaluate, based exclusively on randomised controlled trials (RCTs), the effectiveness of different local anaesthetic techniques, agents and adjunctive interventions in reducing pain during dental treatment of MIH-affected teeth in children. METHODS: A systematic review was conducted following PRISMA 2020 guidelines and registered in PROSPERO (CRD420251150485). MEDLINE, Cochrane Central, ScienceDirect, SCOPUS, EBSCO, and LILACS were searched up to September 2025. Eligible studies were RCTs involving children and adolescents (6 - 18 years-of-age) with MIH, assessing pain outcomes during dental procedures. Risk of bias was assessed using the Cochrane RoB 2 tool, and certainty of evidence was evaluated using the GRADE approach. RESULTS: Eight RCTs were included. Low-certainty evidence suggested that intraosseous anaesthesia and 4% articaine may reduce intra-operative pain compared with conventional techniques or 2% lidocaine. Adjunctive cryotherapy and pre-emptive ibuprofen showed potential benefits, but evidence was of very low certainty and limited to single trials. Findings for photobiomodulation were inconsistent across studies. Most trials were judged to be at high risk of bias, primarily due to lack of blinding and reliance on subjective pain outcomes. CONCLUSION: Current evidence supporting specific pain management strategies for MIH-affected teeth is limited and of low certainty. Whilst 4% articaine and intraosseous anaesthesia appear promising, well-designed, adequately powered RCTs with standardised pain outcomes are required to inform robust clinical recommendations.

Local anaesthesia↗

PubMed2026

Cannabis and cannabinoids for the treatment of mental and substance use disorders and symptoms: A systematic review and meta-analysis of experimental and observational studies.

BACKGROUND: Interest in cannabinoids for mental and substance use disorders is increasing. We examined experimental and observational evidence for treating these disorders and their symptoms. METHODS: Systematic review and meta-analysis (PROSPERO CRD42023467536). We searched CENTRAL, MEDLINE, Embase and PsycINFO to May 2025 for studies of cannabinoids in adults (≥18 years) with ADHD, anxiety, depression, PTSD, psychosis or Tourette syndrome, or alcohol, cannabis, opioid or tobacco use disorders. Two reviewers screened, extracted and assessed quality using a risk-of-bias tool and GRADE. RESULTS: We included 82 experimental and 118 observational studies. In RCTs, cannabinoids reduced anxiety symptoms (SMD=-0.40; 95% CI: -0.57, -0.23; I²=90%) and, in one small trial, PTSD symptoms (SMD=-2.60; 95% CI: -4.58, -0.62; n=20), with trivial-to-no effect on depression (SMD=-0.20; 95% CI: -0.43, 0.04; I²=91.6%), ADHD, psychosis and Tourette syndrome. Much anxiety and depression evidence came from symptoms measured as secondary outcomes in other primary conditions. Cannabinoids worsened cannabis use disorder severity in one RCT (SMD=2.35; 95% CI: 1.49, 3.21), with no effect on craving or withdrawal; evidence for alcohol, opioid and tobacco use disorders was very limited. Observational studies suggested improvements but had high risk of bias. The only significant safety finding was increased withdrawals due to adverse events with THC (OR=2.78; 95% CI: 1.66, 4.65). Certainty was predominantly very low. DISCUSSION: The evidence base shows very low certainty, high heterogeneity and methodological limitations, and is insufficient to support cannabinoids as first-line treatment. Signals for anxiety and PTSD are limited by indirectness and low certainty; no benefit was evident for depression; THC-related safety signals warrant careful consideration.

Humans↗

PubMed2026

To Treat or Not to Treat: Navigating Early-Stage CLL in the Era of Targeted Therapy.

Chronic lymphocytic leukemia (CLL) is most frequently diagnosed at early, asymptomatic stages (Rai 0/Binet A), in which a watch-and-wait strategy remains the standard of care, based on historical trials demonstrating no overall survival benefit from early treatment. Over the past two decades, however, substantial advances in genomic profiling-including immunoglobulin heavy-chain variable region (IGHV) mutational status, TP53 disruption, recurrent gene mutations, and complex karyotype-have uncovered marked biological heterogeneity among early-stage patients and substantially improved prediction of disease progression. In parallel, targeted therapies such as Bruton tyrosine kinase (BTK) inhibitors and venetoclax-based combinations have transformed the management of symptomatic CLL, raising renewed interest in whether early intervention might favorably alter the natural history of biologically high-risk disease. In this review, we critically examine the evolution of prognostication in early-stage CLL, integrate contemporary molecular and clinical risk models, and summarize evidence from both historical chemotherapy-era studies and modern early-intervention trials. We discuss key unresolved controversies, including reliance on surrogate endpoints, the risks of overtreatment, and the persistent absence of an overall survival benefit across all early-treatment strategies. Finally, we outline future research priorities, including refined genomic stratification, minimal residual disease-driven (MRD)-driven approaches, and combination targeted therapies currently under investigation. Despite renewed interest in preemptive treatment, available evidence supports continued observation for asymptomatic patients outside clinical trials.

Humans↗

PubMed2026

Interfacial engineering of cobalt tungstate-halloysite nanotube nanocomposite for electrochemical detection of synthetic vanillin in food matrices.

In processed foods and medicine, synthetic vanillin is widely used, although excessive intake poses toxicological risks. Due to the rising usage of synthetic vanillin in food products and associated health hazards, quick, sensitive, and reliable analytical methods are needed to precisely measure vanillin in complex food matrices. This work introduces a CoWO4@F-HNT/GCE nanocomposite as an efficient electrocatalytic modifier for glassy carbon electrodes aimed at trace-level synthetic vanillin detection. Structural and microscopic analyses confirmed phase-pure monoclinic CoWO4, preservation of the tubular aluminosilicate framework, and homogeneous nanoparticle anchoring on F-HNT. Differential pulse voltammetry provided a broad linear range from 0.01 to 372.14 μM and a low detection limit of 4.3 nM, together with excellent selectivity against common interferents, good cycling stability, and high inter-electrode reproducibility. These characteristics position the CoWO4@F-HNT-modified electrode as a cost-effective and reliable platform for on-site quality control of synthetic vanillin in complex food matrices.

Benzaldehydes↗

PubMed2026

Anti-inflammatory agents after hip and shoulder arthroplasty: A systematic review and meta-analysis.

BACKGROUND: Postoperative inflammation after arthroplasty contributes to pain, delayed mobilization and prolonged hospitalization. Recent randomized trials have evaluated pharmacological anti-inflammatory strategies within contemporary enhanced recovery pathways, but evidence after hip and shoulder arthroplasty remains scattered across different drug classes and perioperative regimens. OBJECTIVES: To synthesize recent randomized controlled trial (RCT) evidence on perioperative anti-inflammatory agents after hip and shoulder arthroplasty. METHODS: PubMed, Embase, Cochrane Library and Web of Science were searched for English-language RCTs published from January 2020 to March 2026. The 2020-2026 window was selected to update evidence generated under modern arthroplasty, anesthesia, multimodal analgesia and enhanced recovery after surgery (ERAS) pathways. Eligible trials included adults undergoing hip or shoulder arthroplasty and compared corticosteroids, cyclooxygenase-2 (COX-2) inhibitors, nonsteroidal anti-inflammatory drug (NSAID)-based/local anti-inflammatory regimens, or related anti-inflammatory interventions with placebo, saline, no treatment, or the same regimen without the target component. Weighted mean differences (WMDs) were pooled using random-effects models. RESULTS: Nine RCTs involving 800 patients were included. Anti-inflammatory interventions significantly reduced postoperative C-reactive protein (CRP) [WMD=-32.18, 95% confidence interval (CI) (-41.16, -23.21), P<0.001], interleukin-6 (IL-6) [WMD=-31.25, 95% CI (-41.79, -20.77), P<0.001], rest pain [WMD=-0.41, 95% CI (-0.58, -0.23), P<0.001], activity pain [WMD=-0.56, 95% CI (-0.83, -0.29), P<0.001] and hospital stay [WMD=-0.54, 95% CI (-0.92, -0.15), P=0.006]. CONCLUSION: Recent RCT evidence suggests that perioperative anti-inflammatory interventions can attenuate early inflammatory responses and improve short-term pain and recovery after hip and shoulder arthroplasty. Because data were limited and clinically heterogeneous, the findings should not be interpreted as evidence favoring a specific drug class, dose, route, or timing.

Humans↗

PubMed2026

A systematic review of human avoidance learning: Cognition, computation, and methods.

Avoidance behaviour is fundamental for survival but can become maladaptive in clinical conditions. A large body of literature has accumulated on the dynamics of human avoidance learning. However, current theories and overviews do not provide an exhaustive account of this evidence. In this systematic review, we identify N = 116 studies on human avoidance learning. We analyse these studies with the goal of distilling robust empirical phenomena as a basis for theory-building, and examine their diagnostic value in differentiating between competing theories. We find that the evidence is difficult to reconcile with foundational two-factor and classical safety-signal accounts, and most strongly supports expectancy- and inference-based views, in which avoidance responses are selected with respect to represented consequences. At the same time, no current framework provides a complete account of the evidence: several findings point to an additional role for operant valuation, Pavlovian influences, and contextual or latent-state control over the expression of avoidance. Methodologically, we observe that the problem setting in the most common experimental paradigms is radically simpler than real-world avoidance and therefore unlikely to expose the limits of inferential or reflective mechanisms. Consequently, we argue that paradigms with greater computational demands and more realistic action affordances are required to identify the mechanisms underlying avoidance learning. Collectively, these insights provide a foundation for theoretical refinement, computational modelling, and methodological innovation, with implications for advancing interventions targeting maladaptive avoidance.

Humans↗

PubMed2026

Efficacy of prescription-eligible digital health applications for depression and generalized anxiety disorder in Germany: a systematic review and meta-analysis.

In Germany, prescription-eligible digital mental health applications (DiGA) were introduced in 2020 as promising interventions to address, among others, depression and anxiety disorders, two of the most prevalent mental health conditions worldwide. Despite growing interest in DiGAs, their overall efficacy remains uncertain. This study aimed to systematically evaluate and quantify the efficacy of prescription-eligible digital interventions for depression and generalized anxiety disorder by synthesizing evidence from randomized controlled trials (19 trials; total N = 4,078; pooled mean age = 38.7 years, SD = 12.1). Here we show that prescription-eligible digital applications for depression and generalized anxiety disorder reduce symptom severity compared with control conditions. For depression, effects were observed both immediately after the intervention (number of apps = 5; k = 17; SMD = - 0.49; 95% CI - 0.65 to - 0.32) and at follow-up (number of apps = 1; k = 4; SMD = - 0.35; 95% CI - 0.46 to - 0.29), while evidence for generalized anxiety disorder was limited due to a small number of available studies (number of studies = 2). These findings support the integration of evidence-based digital tools into mental health treatment strategies in Germany. However, the available evidence is currently dominated by a small number of applications, particularly Deprexis, and should therefore not be interpreted as equally representative of all DiGAs currently listed for depression in Germany. The findings also highlight methodological limitations of current research and underscore the need for real-world evaluations, which address not only efficacy but also the effectiveness, content, quality and implementation.

Generalized Anxiety Disorder↗

PubMed2026

Cost-Effectiveness of Electronic Patient-Reported Outcome Measure Interventions in Cancer: Systematic Review and Parameter Extraction for Economic Modeling.

BACKGROUND: Complex digital interventions that integrate electronic patient-reported outcome measures (ePROM) into clinical practice in cancer have the potential to improve quality of life, increase survival, and reduce health resource use and costs. Such systems can help patients with cancer self-manage chemotherapy symptoms, reduce clinicians' workloads through automated decision support, and resolve problems earlier. However, more research on the cost-effectiveness of ePROM monitoring is needed. OBJECTIVE: This paper comprises two complementary components: (1) a systematic literature review summarizing and evaluating the quantitative and qualitative evidence related to the cost-effectiveness of ePROM monitoring and (2) a health economic model parameter extraction. We also conducted supplementary targeted searches and scoping to provide context to our findings. METHODS: We searched Ovid (including MEDLINE and Embase), Scopus, and the International Health Technology Assessment Database for original English-language papers published on or before March 2025 using search strings that combined terms related to ePROMs, health economics, and cancer/oncology. We included papers reporting health economic-related outcomes for ePROM interventions designed for adult cancer populations and excluded screening tools and conference abstracts. RESULTS: We included 34 publications from 27 unique studies and identified and analyzed 26 ePROM-integrated interventions within these. Most (23/26) of the included interventions explicitly described some form of alert handling and automated decision support based on remote ePROM monitoring. Of the 34 publications, 5 presented full cost-effectiveness analysis results, of which 3 were highly uncertain and lacked clear differences in costs and health outcomes between ePROMs and standard care; conversely, 2 presented strong evidence of cost-effectiveness due to quality-of-life improvements, reduced hospitalizations, and potentially more autonomy in health-related travel (eg, ePROM-monitored patients can drive or walk to the hospital instead of using taxis or ambulances). A further 5 publications reported partial health economic results (eg, cost-consequence and budget impact), of which 1 detected no difference in strategies; in contrast, 4 reported lower health resource use and costs of ePROMs, mainly due to hospitalization reductions. Overall, 12 of the 27 studies included a qualitative component but mostly focused on user experience and design-related themes; only 2 of these addressed economic-specific themes (eg, changes in workflow and resource use due to ePROM implementation and integration), indicating some potential for time saving due to ePROM monitoring. CONCLUSIONS: Some ePROM-integrated interventions demonstrated cost-effectiveness in cancer care, but the evidence base remains limited. Where evidence does exist, cost-effectiveness appears driven by reduced hospitalization and improved quality of life. Qualitative research within the included studies rarely addressed economic questions. We provide a detailed parameter extraction for use in future economic modeling and recommend research priorities, including quantitative mapping of ePROM symptom data onto health resource use patterns, and qualitative work exploring how ePROM implementation affects clinical workloads and patient-perspective costs.

Humans↗

PubMed2026

Multisensory stimulation for promoting development and preventing morbidity in preterm infants.

RATIONALE: Multisensory stimulation is a structured, developmentally appropriate intervention that provides simultaneous or sequential stimulation of two or more senses (e.g. tactile, auditory, visual, or vestibular) in a controlled and non-stressful manner, with the aim of supporting early neurodevelopment in preterm infants. It has the potential to enhance physiological regulation in preterm infants by stabilizing key functions, such as respiratory patterns, heart rate, and oxygen saturation; reducing the need for respiratory support; and improving feeding performance and sleep regulation. Targeted multisensory interventions have also been associated with improved neurodevelopmental outcomes, including enhanced psychomotor development and visual function. OBJECTIVES: To assess the benefits and harms of multisensory stimulation compared to any single sensory intervention or standard care on major neurodevelopmental disability, mortality, and growth in preterm infants. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, Emcare, CINAHL, Epistemonikos, two trial registries, and conference abstracts up to 28 November 2025. We checked reference lists of included trials, and systematic reviews on sensory interventions. ELIGIBILITY CRITERIA: We included 18 randomized controlled trials (RCTs) comparing multisensory stimulation in preterm infants with no intervention (placebo or standard care), and one RCT comparing multisensory stimulation with single-sense stimulation (tactile stimulation). OUTCOMES: Our critical outcomes were major neurodevelopmental disability at 18 to 24 months: cerebral palsy (CP), developmental delay, intellectual impairment, blindness, sensorineural deafness; death during initial hospitalization; and total weight gain (grams), assessed at discharge. When comparing multisensory stimulation with single-sense intervention, we also included weight gain during the intervention, an outcome added during the post-hoc analysis. Important outcomes were duration of hospital stay, of NICU stay, and of respiratory support; and time until full oral feeding. RISK OF BIAS: We used the Cochrane tool, RoB 2. SYNTHESIS METHODS: We conducted meta-analyses using fixed-effect models to calculate risk ratios (RR) for dichotomous data, and mean differences (MDs) for continuous data, each with its 95% confidence intervals (CIs). We assessed statistical heterogeneity by calculating the I2 statistic when we included more than two trials in a meta-analysis. We evaluated the certainty of evidence using GRADE. INCLUDED STUDIES: We included 19 trials (1554 newborn infants): 18 studies compared multisensory stimulation with standard care; one compared multisensory stimulation with single-sensory stimulation (tactile). In 10 studies, the primary aim was to assess the neurobehavioral outcomes of multisensory stimulation on preterm neo-nates. The other nine studies aimed to assess the impact of multisensory stimulation on weight gain during the intervention, weight gain until hospital discharge, length of neonatal intensive care unit (NICU) stay, length of hospital stay, time until full oral feeding, length of respiratory support, or a combination. In the abstract we report results for the critical outcomes only. We identified 13 ongoing studies. Four studies are awaiting assessment. SYNTHESIS OF RESULTS: Multisensory stimulation compared to standard care No studies reported on these major neurodevelopmental disabilities, assessed at 18 to 24 months' corrected age (CA): developmental delay, intellectual impairment, blindness, or sensorineural deafness. One study reported on rates of CP at 12 months of age. The evidence is very uncertain about the effect of multisensory stimulation on CP (RR 0.67, 95% CI 0.28 to 1.58; I² not applicable; 1 study, 18 participants; very low-certainty evidence). The evidence suggests that multisensory stimulation may result in little to no difference in death during initial hospitalization (RR 0.97, 95% CI 0.54 to 1.73; I² not applicable; 1 study, 395 participants; low-certainty evidence). Multisensory stimulation may increase total weight gain prior to discharge (MD 72.67, 95% CI 68.23 to 77.12; I² = 0%; 3 studies, 474 participants; low-certainty evidence). Multisensory stimulation compared to single-sense (tactile) stimulation No studies reported on major neurodevelopmental disability, assessed at 18 to 24 months' CA, or death during initial hospitalization. The evidence is very uncertain about the effect of multisensory stimulation compared to tactile stimulation on weight gain during the intervention (MD -175.00, 95% CI -376.60 to 26.60; I² not applicable; 1 study, 20 participants; very low-certainty evidence). The certainty of the evidence was low to very low across outcomes, primarily due to risk of bias, imprecision from small sample sizes and wide CIs, and in some cases, inconsistency. The evidence base was also limited by the lack of reporting of relevant outcomes and reliance on surrogate outcomes or shorter follow-up periods. AUTHORS' CONCLUSIONS: The available evidence on multisensory stimulation in preterm infants is limited and of low to very low certainty. No included studies reported on major neurodevelopmental disabilities at 18 to 24 months' CA, which represented a critical outcome for this review. Evidence regarding the effect of multisensory stimulation on CP is very uncertain, as it is based on a single small study reporting a surrogate outcome at 12 months. Multisensory stimulation may result in little to no difference in mortality during the initial hospitalization. It may increase total weight gain prior to discharge. However, the clinical significance of this finding is uncertain, particularly given the low certainty of the evidence and the multifactorial nature of growth in preterm infants. The evidence is very uncertain about the effect of multisensory stimulation compared to single-sense (tactile) stimulation on weight gain during the intervention. The only included study did not report major neurodevelopmental disabilities at 18 to 24 months' CA, mortality during the initial hospitalization, or total weight gain prior to discharge, which represented the critical outcomes for this review. Overall, the current evidence does not allow firm conclusions about the effectiveness of multisensory stimulation in promoting development or preventing morbidity in preterm infants. Future studies on multisensory stimulation should use more rigorous designs, larger samples, and report interventions using the template for intervention description and replication (TIDieR) checklist to ensure transparency. They should also report essential outcomes, such as neonatal death, major neurodevelopmental disabilities, length of hospital and NICU stay, time to full oral feeding, duration of respiratory support, and weight gain, to better assess the long‑term effects of multisensory stimulation in preterm infants. FUNDING: This Cochrane review had no dedicated funding. REGISTRATION: Protocol available via DOI: 10.1002/14651858.CD016073.

Humans↗

PubMed2026

Ruling out pediatric bacterial epididymo-orchitis with urinalysis - The case for minimizing unnecessary antibiotic prescription.

INTRODUCTION: Epididymo-orchitis in pediatric patients is predominantly non-bacterial, often stemming from viral or reactive etiologies. Despite guidelines recommending conservative management for non-bacterial cases, antibiotic overtreatment remains prevalent in the outpatient setting. We evaluated the diagnostic accuracy of urinalysis in ruling out bacterial infection to support antibiotic stewardship in this population. METHODS: We conducted a cross-sectional diagnostic accuracy study using electronic health records from a large health maintenance organization in Israel. The cohort included patients younger than 18 years with a diagnosis of epididymo-orchitis or clinically overlapping entities (acute scrotum, appendage torsion) who had paired urinalysis and urine culture results within one week of diagnosis. Logistic regression and ROC curve analysis were performed to assess the ability of urinalysis parameters to predict positive urine cultures. RESULTS: Of 682 eligible cases, confirmed bacterial infection was rare, occurring in only 17 patients (2.5%). Nitrite positivity was the strongest independent predictor of infection (OR 43.98; p < 0.001). A prediction model incorporating all urinalysis parameters yielded an area under the curve (AUC) of 0.825 and achieved a 97.7% classification accuracy for correctly predicting negative cultures. Despite the low prevalence of infection, antibiotics were prescribed in 237 cases (34.7%). Urinary anatomic abnormalities were significantly associated with culture positivity. CONCLUSIONS: Bacterial coinfection in pediatric epididymo-orchitis is uncommon. Urinalysis serves as a highly accurate screening tool to rule out bacterial etiology. A negative urinalysis supports withholding antibiotics in this setting, reserving treatment for children with positive markers or known anatomic abnormalities. This evidence-based approach This evidence-based approach has the potential to reduce unnecessary antibiotic exposure, however prospective studies are needed to validate these findings before broad implementation.

Humans↗

PubMed2026

Implementing Prolonged Exposure Therapy in a Community Substance Use Treatment Program: A Qualitative Study.

INTRODUCTION: Post-traumatic stress disorder (PTSD) commonly co-occurs with substance use disorders (SUD), yet few community-based SUD programs incorporate evidence-based trauma-focused. Prolonged exposure (PE), including its massed format (M-PE) with session frequency of 3-4 times per week, is a gold standard intervention for PTSD; however, concerns about client readiness, logistical demands and relapse risk have limited its adoption within SUD settings. This study examined staff perspectives on the feasibility and acceptability of integrating M-PE into a community-based SUD program. METHODS: Prior to launching a Hybrid Type 1 effectiveness-implementation trial (Project COMET), we conducted semi-structured virtual interviews with 15 community clinic staff: providers (n = 8), administrators (n = 2) and peer specialists (n = 5). Interviews were recorded, transcribed and analysed using a rapid qualitative analysis framework with matrix techniques to compare themes across roles. RESULTS: Four overarching themes captured staff perspectives on integrating M-PE: (Theme 1) Prior Knowledge and Experiences: Most staff were familiar with EMDR, while direct knowledge of PE/M-PE was limited. (Theme 2) Perceptions of M-PE: M-PE was widely viewed as a promising, structured intervention that fits the pacing and duration of SUD care. (Theme 3) Symptom Reduction and Client Impact: Staff anticipated improvements in PTSD and SUD symptoms through trauma-focused treatment. (Theme 4) Barriers and Constraints: Participants identified several potential implementation challenges, including logistical barriers and client readiness. DISCUSSION AND CONCLUSIONS: Findings suggest that staff generally viewed M-PE favourably but emphasised the importance of ensuring client readiness and organisational support. Enhancing feasibility and long-term sustainability may require expanded psychoeducation, targeted provider training and flexible delivery models. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT06968832.

Adult↗

PubMed2026

Pregnancy diet based on ancestral patterns increases growth in subcortical fetal brain regions.

Evidence on the biological basis for maternal nutrition effects on fetal and newborn neurodevelopment remains limited. This randomized controlled trial in Ecuador tested a maternal dietary pattern-derived from empirical studies of nutrition in human evolution and adapted locally-on offspring growth and brain development. Pregnant women (n = 215) in their first trimester were randomized to: 1) control (n = 104); or 2) Mikhuna ("nourish" in Kichwa) intervention (n = 111). The intervention, from 12 wk gestation to birth, consisted of a weekly food delivery (8 eggs, 500 g fish, and a variety of sustainably sourced fruits and vegetables) and a behavior change communication strategy encouraging diet diversity and limiting highly processed foods. Longitudinal data collection occurred at 12 wk, 21 wk, 35 wk gestation, and 2 wk postpartum, and included ultrasound imaging of fetal bone and brain parameters, maternal dietary intakes, anthropometry, socioeconomic and demographic variables, and other biomarkers. At close of intervention, a significantly higher percentage of women met the minimum dietary diversity threshold in Mikhuna (74.5%) vs. control groups (55.8%) (P = 0.004). Generalized linear regression models showed significant differences in Mikhuna compared to control for: corpus callosum length 0.19 cm (95% CI [0.02, 0.35]), gangliothalamic ovoid height 0.15 cm (95% CI [0.03 to 0.26]), and femur length -0.10 cm (95% CI [-0.19, -0.02]) from 21 wk to 35 wk; and corpus callosum Z 0.56 (95% CI [0.03, 1.09]) and femur length Z -0.21 (95% CI [-0.42, 0.00]) at 35 wk. The Mikhuna intervention increased the growth of subcortical fetal brain structures, which have established roles in motor control, cognition, and signal transmission.

Female↗

PubMed2026

Predicting ACL injury risk in athletes: A systematic review of machine learning-based models.

BACKGROUND: Early ACL injury risk identification in athletes is essential. This systematic review examines machine learning (ML) models for predicting ACL injuries, evaluating their methodological quality, performance, and reliability. METHOD: A comprehensive electronic search was conducted across PubMed, Scopus, Web of Science, and IEEE Xplore databases, supplemented by Google Scholar for grey literature, covering articles published between January 1, 2015, and August 30, 2025. Eligible studies were appraised using the Prediction Model Study Risk of Bias Assessment Tool (PROBAST) for methodological quality and risk of bias, and the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) guidelines for quality of evidence. RESULTS: Ten studies were included. PROBAST showed eight studies had moderate risk of bias and two low risk. TRIPOD found only two studies met quality criteria. ML models included logistic regression (n = 5), support vector machines (n = 4), k-nearest neighbor (n = 3), decision trees (n = 3), random forests (n = 5), neural networks (n = 2), linear discriminant analysis (n = 1), and pre-trained CNNs (n = 1). AUC ranged from 0.63 to 0.98. Accuracy (reported in six studies) ranged from 26% to 95%; however, these values should be interpreted with caution due to the absence of confidence intervals, lack of class imbalance handling, and limited external validation across studies. Tree-based ensemble methods such as random forest achieved competitive accuracy (74-86%), while SVM, a non-ensemble classifier, reported accuracy ranging from 71% to 95%; however, the highest values were obtained in studies with notably small sample sizes (n = 12 to n = 39), raising concerns about overfitting and generalizability. CONCLUSION: Current ML algorithms show promise for identifying athletes at high ACL injury risk and detecting relevant risk factors. Although study quality was generally satisfactory, future research should prioritize external validation and model interpretability to support clinical translation.

Humans↗