BackgroundsFutile recanalization (FR) poses a significant challenge in endovascular treatment and there is a lack of reliable predictive models for assessing treatment outcomes in stroke. The aim of this study is to develop a robust CT radiomics-clinical ensemble model that predicts FR in patients with acute ischemic stroke (AIS) following endovascular treatment (EVT) utilizing machine learning techniques.MethodsThis study enrolled 101 patients diagnosed with AIS who underwent successful EVT. A total of 946 radiomics features were, respectively, extracted from non-contrast CT (NCCT), contrast-enhanced CT (CECT), and various CT perfusion maps (CBF, CBV, MTT, and TTP) using PyRadiomics prior to the endovascular intervention. Demographic characteristics, along with baseline clinical, laboratory, and angiographic variables, were incorporated as clinical features in the model analysis. Feature engineering was performed using SelectKBest. Five traditional machine learning algorithms were employed for modeling. The dataset was randomly split into a training cohort (n = 71, 70%) and an internal validation cohort (n = 30, 30%). Receiver operating characteristic (ROC) curves were utilized to evaluate the performance of each model.ResultsAmong the 101 patients, FR occurred in 66 individuals (65%), as determined by the modified Rankin Scale (mRS) at 90 days. The ensemble model integrating clinical data, NCCT, and CBV achieved the highest performance, with an area under the curve (AUC) of 0.918 using the CatBoost algorithm.ConclusionThe multimodal CT radiomics-clinical ensemble machine learning model demonstrated excellent predictive capability for identifying FR in AIS patients with large vessel occlusion prior to EVT.
Revolution’s aftermath: population based cross-sectional study to understand the intergeneration mental health and wellbeing following the 2024 student-led uprising
BackgroundBangladesh was confronted with a nationwide student uprising in July 2024, that exposed both participants and observers to widespread unrest and traumatic events. To better understand the kind of support the population will need, it is important to understand its immediate impact on mental wellbeing.AimAim was to examine the prevalence of trauma symptoms among the Bangladeshi general population, aged 15+, within three-months following revolution.MethodsThis cross-sectional survey using the Post Traumatic Stress Disorder (PTSD) Checklist for DSM-5 (PCL-5, five-point Likert scale), was combined with a one-off online workshop to sensitise this population on mental health, trauma, and resilience. Associations between sociodemographic factors and PCL-5 scores were examined with multiple linear regression (ANOVA/ANCOVA). Probable PTSD (PCL-5 ≥ 31) was assessed using log-binomial regression. We estimated Population Attributable Fractions (PAF), Absolute Risk Reduction (ARR) to estimate the proportion of high PTSD attributable to each exposure, and applied min–max normalisation of Likert scales for cross-item comparison.ResultsMore than half of the surveyed participants (n=207; mean age 27.6 ± 9.7 years; 72% Gen Z) had clinically suggestive PTSD. This was more common among women (53.7%), and respondents from Chattogram (57.4%) and Khulna (66.7%). Adjusted analyses suggested modestly higher prevalence among Millennials (PR 1.23, 95% CI 0.87-1.74). PAF estimates indicated small contributions from age groups (Millennials +6.5%, GenX/Boomers -3.6%), and gender (men -3.1%). Under hypothetical elimination of exposure, absolute PTSD reduction was greatest among Millennials. Symptom clusters varied: women, and older adults showed consistently higher scores, while Gen Z reported more negative thoughts/feelings.ConclusionThe study underscores the potential higher prevalence of probable PTSD following large-scale demonstrations and confrontations, and recommends targeted culturally appropriate mental health interventions. Further research involving a representative sample from the population and longitudinal data is recommended to monitor long-term psychological impacts in Bangladesh.
Comparative efficacy of non-pharmacological therapies in adolescents with subthreshold depression: a systematic review and network meta-analysis
BackgroundSubthreshold depression (SD) is highly prevalent in adolescents and young adults aged 11–25 years, leading to impaired psychosocial functioning and a high risk of progression to major depressive disorder (MDD). Non-pharmacological therapies are the mainstay of intervention for adolescent SD, yet the comparative efficacy of different interventions remains unclear. This study aimed to compare the relative effectiveness of various non-pharmacological interventions for adolescent SD via network meta-analysis (NMA).MethodsWe initially retrieved 5,297 records from six databases (PubMed, Embase, Web of Science, Cochrane, PsycINFO, CINAHL) for randomized controlled trials (RCTs) of non-pharmacological interventions for SD in individuals aged 11–25 years who did not meet the DSM-IV/ICD-10 diagnostic criteria for MDD or depressive episode. The control groups received waitlist control or usual care, and the primary outcome was depressive symptoms assessed by validated scales (BDI-II, CES-D, CDI, HAMD). Two reviewers independently conducted study selection, data extraction and risk of bias assessment (RoB 2.0). Heterogeneity was analyzed using the I² statistic; NMA was performed under a Bayesian framework with consistency assessment, and the CINeMA tool was used to grade the certainty of evidence. This study was registered in PROSPERO (CRD42023456264) and reported in accordance with the PRISMA 2020 statement.ResultsA total of 30 RCTs involving 3,471 participants were included. Traditional meta-analysis showed that non-pharmacological interventions significantly improved depressive symptoms in adolescents with SD (pooled SMD = −0.93, 95% CI: −1.20 to −0.66, P < 0.0001), with high heterogeneity across studies (I² = 92%) driven by intervention type, delivery mode, intervention duration and participant age. NMA results indicated that behavioral activation (BA) was the most effective intervention (SMD = −3.45, 95% CI: −4.89 to −2.02), followed by physical exercise intervention (PEI) (SMD = −1.34, 95% CI: −2.68 to −0.03) and light therapy (LT) (SMD = −1.24, 95% CI: −2.17 to −0.31). No significant overall inconsistency was detected in the study (χ²=6.72, df=9, P = 0.651).ConclusionsNon-pharmacological interventions are effective for adolescents with SD, and BA is recommended as the first-line clinical option. Clinical selection of interventions should take into account individual patient characteristics and intervention features. This study has several limitations, including high heterogeneity across studies, single-study evidence for some interventions (e.g., LT, PEI), a broad age range of participants and the lack of long-term follow-up data. Further large-scale, multi-center RCTs are needed to validate these findings.
RESCUE- expected usefulness and willingness to participate in a trauma-informed group intervention for coping with traumatic work experiences in the emergency medical services
Emergency Medical Services personnel (EMS) are confronted with potentially highly stressful and traumatic occupational experiences, placing them at high-risk for mental disorders. Avoidant coping mechanisms, internalized and occupational stigma not only impede disclosure of and processing the incident-related stress but also weaken the overall resilience of the EMS. Effective interventions are needed that operate both at the individual and group level. The aim of this study was to investigate the expected usefulness and willingness to participate in a trauma-informed intervention (Facts derived from Narrative Exposure Therapy, NETfacts). A total of 256 German EMS (67.19% men, 32.81% women) participated in the online survey. We assessed the expected usefulness and willingness to participate in NETfacts, critical incident-related stress (EMS Critical Incident Inventory EMS-CII), burnout symptoms (Professional Quality of Life ProQOL), age and work experience. Overall, about half of the EMS expected NETfacts to be at least somewhat useful, and reported a generally willingness to participate. Expected usefulness was neither associated with critical incident-related stress nor burnout symptoms. Younger participants (<35 years) showed a generally higher willingness to participate than older participants. However, the willingness is across both age groups positively associated with higher levels of critical incident-related stress. Nevertheless, burnout symptoms and the willingness are negatively associated among participants age 35 and older, while remaining stable among their younger colleagues. Early, trauma-informed and age-sensitive prevention programs are needed to mitigate the adverse effects of critical incidents among EMS. Our study presents EMS preferred circumstances to enhance employees’ uptake of such a program.
Effects of Patient Portal Message Framing on Treatment Preferences and Expectations for Degenerative Meniscus Tears: Randomized Exploratory Cross-Sectional Survey Study
<strong>Background:</strong> Degenerative meniscus tears are common in middle-aged and older adults, and current guidelines favor nonoperative care. As patients increasingly turn to portal systems to view imaging results and communicate with their physicians, patient-facing wording may shape downstream treatment preferences and expectations. <strong>Objective:</strong> This study aimed to determine whether subtle differences in physician message framing about an identical degenerative meniscus tear influence preferred management, expectations for improvement with conservative therapy, and satisfaction when a physician recommends a different plan. <strong>Methods:</strong> A cross-sectional 37-question survey was developed de novo and distributed in January 2026 to lay adults in the United States (≥18 years) recruited via Amazon Mechanical Turk. Respondents were presented with a standardized vignette of an adult aged 60 years with knee pain due to a degenerative meniscus tear. Participants were randomized in a 1:1:1 fashion into 3 physician portal message framing groups: neutral, degenerative, and damage. Outcomes were the preferred next step in treatment, expected improvement with physical therapy, and retained satisfaction under physician-respondent disagreement. Chi-square and Fisher exact tests were used to compare categorical variables. Multivariable logistic regression analyses were used to assess associations between framing groups. <strong>Results:</strong> Of the 266 completed responses, 195 (73.3%) were included for analysis (neutral: n=67, 34.4%; degenerative: n=63, 32.3%; damage: n=65, 33.3%). Treatment preferences differed significantly across groups (<i>χ</i><sup>2</sup><sub>2</sub>=6.1; <i>P</i>=.047), and the damage group was significantly more likely to prefer aggressive interventions (odds ratio 2.43, 95% CI 1.17-5.06; <i>P</i>=.02). Expectations for physical therapy success differed significantly (<i>χ</i><sup>2</sup><sub>4</sub>=12.3; <i>P</i>=.02), with the damage group being most pessimistic about conservative care. Retained satisfaction under physician-respondent disagreement did not differ by framing group (<i>χ</i><sup>2</sup><sub>6</sub>=6.7; <i>P</i>=.35) but did differ significantly by initial treatment preference (<i>P</i>=.03) and was the lowest among respondents preferring steroid injection. <strong>Conclusions:</strong> In this exploratory investigation, subtle differences in physician portal message framing regarding a magnetic resonance imaging impression of a degenerative meniscus tear were associated with shifts in treatment preferences and confidence in conservative care. These findings suggest that brief physician portal communications may be associated with shifts in hypothetical patient expectations and treatment preferences before clinical counseling occurs. <strong>Trial Registration:</strong>
STAT+: Capsida says it still doesn’t know what caused gene therapy death
Capsida Biotherapeutics said Tuesday that it still had no answers in its investigation into the death of a child in a gene therapy trial last September.
Its scientists’ efforts, it said, have been stymied because the hospital where the study was conducted has declined to share tissue samples from an autopsy.
The therapy, known as CAP-002, was the first of a wave of new gene therapies designed to deliver genes deep into the brain. Scientists around the world engineered viruses that could slide through the blood-brain barrier that walls off our most vital organ from the rest of the body. Companies spun up promising treatments for devastating rare genetic diseases and common conditions like Alzheimer’s and Parkinson’s.
Smart Pediatric Oncology Tracker of Symptoms (SPOTS), a Web-Based Interface for the Pediatric PRO-CTCAE: Development and Usability Study
<strong>Background:</strong> Children undergoing cancer treatment experience a range of treatment-related toxicities that significantly affect quality of life and adherence to therapy. Current methods for symptom reporting rely heavily on clinician interpretation of caregiver or child verbal reports, which can result in incomplete or inaccurate records. The Pediatric Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (Pediatric PRO-CTCAE; National Cancer Institute) provides a validated mechanism for direct symptom reporting by children and caregivers, yet its traditional administration and preselection of questions limit the breadth of symptom capture. <strong>Objective:</strong> This research aimed to co-design and conduct formative usability testing of the Smart Pediatric Oncology Tracker of Symptoms (SPOTS), a novel, web-based interface for the Pediatric PRO-CTCAE to allow children with cancer and their caregivers to comprehensively report symptoms. <strong>Methods:</strong> The research comprised 2 sequential phases: co-design and usability testing. Guided by child-computer interaction theory and participatory design methods, child-caregiver dyads collaborated with the research team to iteratively design and refine the SPOTS prototype. Nine participant dyads engaged in up to 3 co-design sessions that informed system features, layout, and content. During the usability phase, 12 additional dyads (6 with children aged 7-12 years and 6 with adolescents aged 13-17 years, each with a caregiver) completed structured usability tasks using the SPOTS prototype. Task completion, pathway efficiency, and user feedback were recorded through screen capture, field notes, and think-aloud protocols. Quantitative data were analyzed descriptively, and qualitative feedback was analyzed thematically. <strong>Results:</strong> SPOTS was described by users as “very clear” and “easy to navigate.” Participants valued the visual design, the use of a customizable character, and the opportunity for children to report symptoms independently. Key usability challenges included confusing terminology, navigation redundancy, and visual complexities. Quantitative task analyses indicated that while most structured tasks were completed successfully, many required excess steps or assistance. When not directed to use a specific screen, participants’ symptom reporting methods varied, with caregivers and adolescents preferring the Body Parts Screen and younger children favoring the Search Screen. <strong>Conclusions:</strong> The formative development of SPOTS demonstrates the feasibility and value of co-designing pediatric health technologies directly with children and caregivers. SPOTS has the potential to enhance the implementation of the Pediatric PRO-CTCAE by offering an engaging, child-friendly digital format that facilitates more direct symptom reporting. Future work will include a pilot study to further assess real-world usability, the quality of symptom capture (ie, completeness and accuracy), and integration with clinical workflows.
Researchers develop innovative model for risk assessment for hypertrophic cardiomyopathy
NIH-funded study incorporates new measures to better predict outcomes in chronic heart condition.
A global matching model of choice and response times in the Deese–Roediger–Mcdermott semantic and structural false recognition paradigms.
Psychological Review, Vol 133(4), Jul 2026, 771-819; doi:10.1037/rev0000596
One of the most common method of eliciting false memories in the laboratory is the Deese–Roediger–McDermott paradigm (Deese, 1959; Roediger & McDermott, 1995), where participants study a set of items that are all similar to a nonpresented critical lure. A common finding is that false recognition to critical lures is much higher than to other nonpresented items and in some cases is even comparable to true recognition, regardless of whether similarity is semantic or structural (e.g., phonological or orthographic) relations. While there exists a handful of computational models of this paradigm, they have only been applied to semantic but not structural false recognition, they have not been fit at the level of individual participants, and they have not been applied to response times. We present a global matching model that addresses all three of these current gaps. Global similarity of semantic and structural representations drives a pair of linear ballistic accumulators, which are used to produce decisions as well as complete response time distributions. In addition to being able to account for heightened false recognition of critical lures, the model was able to account for differences across both individual participants and items, lower correlations between semantic and structural false recognition than true recognition, differences in false recognition across levels of processing, improved true recognition but not false recognition with higher study time, and heightened false recognition under speed emphasis. The model suggests that semantic and structural false recognition can be explained using only a single retrieval mechanism. (PsycInfo Database Record (c) 2026 APA, all rights reserved)
Control adjustment costs limit goal flexibility: Empirical evidence and a computational account.
Psychological Review, Vol 133(4), Jul 2026, 846-863; doi:10.1037/rev0000576
A cornerstone of human intelligence is the ability to flexibly adjust our cognition and behavior as our goals change. For instance, achieving some goals requires efficiency, while others require caution. Different goals require us to engage different control processes, such as adjusting how attentive and cautious we are. Here, we show that performance incurs control adjustment costs when people adjust control to meet changing goals. Across four experiments, we provide evidence of these costs and validate a dynamical systems model explaining the source of these costs. Participants performed a single cognitively demanding task under varying performance goals (e.g., being fast or accurate). We modeled control allocation to include a dynamic process of adjusting from one’s current control state to a target state for a given performance goal. By incorporating inertia into this adjustment process, our model accounts for our empirical finding that people undershoot their target control state more (i.e., exhibit larger adjustment costs) when goals switch rather than remain fixed (Study 1). Further validating our model, we show that the magnitude of this cost is increased when: distances between target states are larger (Study 2), there is less time to adjust to the new goal (Study 3), and goal switches are more frequent (Study 4). Our findings characterize the costs of adjusting control to meet changing goals and show that these costs emerge directly from cognitive control dynamics. In so doing, they shed new light on the sources of and constraints on flexibility of goal-directed behavior. (PsycInfo Database Record (c) 2026 APA, all rights reserved)