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Background/Objectives: Novel vision-language models (VLMs) can integrate patient textual data with image data to support medical diagnosis. Recent studies reported conflicting results regarding the performance of multimodal VLMs compared to other models and physician performance. This systematic review aims to assess the diagnostic performance of multimodal VLMs integrating both patient textual and image data across diverse real-world hospital settings. Methods: We performed comprehensive searches of eight resources, including Embase, MEDLINE, and SCOPUS, on 17 December 2025. Eligible studies reporting diagnostic performance of VLMs integrating both image and patient history textual data from real-world adult patients compared to that of other models and physicians were included. The review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The Prediction model study Risk Of Bias Assessment Tool + AI (PROBAST + AI) was used to assess the quality and risk of bias. The study protocol was registered in the PROSPERO database (CRD420251244054). This review received no external funding. Results: We screened 11,026 records, of which 18 studies met the inclusion criteria. Six studies comparing multimodal and unimodal models demonstrated the consistent superiority of the multimodal models. Four studies evaluating VLM accuracy as standalone agents compared with physician performance reported conflicting evidence. One study assessing VLMs as a clinical copilot demonstrated higher accuracy from the group of physicians using VLM assistance. A meta-analysis could not be performed due to the heterogeneity across study populations and outcomes. The majority of the studies were assessed as having a high risk of bias due to dataset quality. Primary limitations identified across studies include small sample size, a lack of external validation, and the need for prospective clinical deployment studies. No study provided documented considerations regarding model safety or data security. Conclusions: This systematic review suggests that multimodal VLMs consistently outperform unimodal models with access to only image or text. While model performance as standalone agents compared to humans remains inconclusive, a copilot model has demonstrated high diagnostic accuracy. Given substantial methodological concerns across studies, cautious interpretation is required, No firm clinical recommendation can be made regarding the use of standalone VLMs. Further research employing high-quality datasets is needed to ensure the reliability and clinical applicability of future VLMs.

Myths and misconceptions about the evaluation and treatment of constipation persist. Many widely prevalent misconceptions about laxatives, specifically stimulant laxatives, interfere with the effective management of constipation. Although some of these myths and misconceptions have been dispelled in recent years, there is additional room for improving the awareness and understanding of the pathophysiology of constipation, the mechanisms of action and the efficacy and safety of available therapies. An evolution in our understanding of pathophysiology and the availability of new treatments requires that primary care practitioners be better positioned to treat this common disorder that reduces patients’ quality of life and negatively impacts the healthcare system. This review defines constipation and elucidates various factors that contribute to its aetiology, including lifestyle, dietary habits, medications and underlying medical conditions. This review addresses and refutes common myths and misconceptions about constipation, such as the belief that regular bowel movements must occur daily or the use of laxatives leads to dependence. This review also highlights the importance of distinguishing between normal and abnormal bowel habits and emphasises the need for individualised management approaches to address constipation effectively. Finally, the review discusses different classes of laxatives, dispelling misconceptions about their safety, efficacy and potential for misuse, with a specific focus on stimulant laxatives. In summary, this review enhances awareness and knowledge of this prevalent disorder, provides evidence-based insights into common myths and misconceptions surrounding constipation and promotes more informed decision-making regarding constipation and the use of laxatives.

Abstract Aims Transcatheter mitral valve replacement (TMVR) with the Tendyne Mitral Valve System is a treatment option for patients with severe symptomatic mitral regurgitation (MR) unsuitable for conventional mitral valve surgery or transcatheter edge-to-edge repair (TEER). This study sought to evaluate the safety and effectiveness of TMVR through 5-year follow-up. Methods and Results The Tendyne Expanded Clinical Study is a prospective, single-arm, multicentre study that enrolled patients between November 2014 and June 2020. The study enrolled 191 patients (mean age 74.1 ± 8.0 years, 62.8% male, 70.2% New York Heart Association Class (NYHA) class III/IV, 88.5% secondary MR), of whom 186 (97.4%) underwent TMVR with Tendyne. MR grade decreased from ≥3+ in 99.5% patients at baseline to grade ≤1+ in 95.3% at 5 years. In those patients surviving to 5 years (n = 49), durable symptomatic improvement was evidenced by 73.5% patients being in NYHA class I/II at 5 years. The Kansas City Cardiomyopathy Questionnaire overall summary score increased from 48.5 ± 22.5 points at baseline to 67.6 ± 21.5 points at 5 years. Serious adverse events that occurred through 5 years included life-threatening bleeding (11.5%), fatal bleeding (2.6%), renal insufficiency/failure (28.8%), endocarditis (7.3%), device thrombosis (5.8%), and new onset atrial fibrillation (13.1%). No structural device degeneration or device embolism occurred through 5 years. Conclusions The Tendyne TMVR was effective at achieving immediate and sustainable elimination of MR, which was associated with symptomatic improvement and absence of structural valve degeneration in a high-risk cohort over 5 years. These findings support TMVR with the Tendyne System as an alternative for patients with appropriate mitral valve anatomy and symptomatic secondary MR unsuitable for mitral surgery or TEER.

Abstract Histopathological assessment has served as the gold standard for diagnosing Alzheimer’s disease (AD). Emerging technological advancements, including the development of amyloid positron emission tomography (PET), have enabled early detection of amyloid pathology, one of the neuropathological hallmarks of AD. Genome-wide association study (GWAS) across cohorts of aging and AD, leveraging different measurements of amyloid burden, may facilitate the identification of novel genetic variants that drive the earliest neuropathological changes in AD. This study presents the largest GWAS of brain amyloidosis to date, leveraging amyloid β (Aβ) measured by in vivo amyloid PET and postmortem histopathology from 13,555 individuals of European ancestry. Amyloid positivity was defined as moderate or frequent neuritic plaques according to the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) staging scores for each postmortem cohort. A Gaussian mixture model (GMM) was applied to each amyloid PET cohort to identify the cohort and tracer-specific cut-offs that differentiate amyloid positive and negative populations. In silico and ex vivo analyses further characterized implicated loci, including interrogating the association between bulk and single-nucleus gene expression profiles and AD-related traits. Genetic covariance analysis assessed the extent amyloid PET and postmortem measures reflect the shared genetic architecture of brain amyloidosis. Our combined amyloidosis GWAS identified three established AD risk loci: BIN1 (rs6733839, OR = 1.20, 95% CI 1.14-1.26, P = 1.32 × 10−11), CR1 (rs4844610, OR = 1.24, 95% CI = 1.16-1.32, P = 4.21 × 10−10), APOE (rs429358, OR = 4.01, 95% CI = 3.66-4.38, P = 4.54 × 10−201), and a newly identified brain amyloidosis-associated variant on chromosome 17 (rs35635959, OR = 1.18, 95% CI = 1.12-1.25, P = 1.47 × 10−8). SuSiE fine-mapping identified a single credible set of 15 putative causal variants with rs35635959 as the lead variant. Subsequent eQTL and SuSiE-based colocalization analyses prioritized rs35635959 as a strong eQTL for TUBG2, encoding tubulin gamma 2, which is involved in microtubule organization and synaptic plasticity. Further cell-type-specific characterization of this gene in neurons from dorsolateral prefrontal cortex tissue indicated that decreased TUBG2 expression was associated with increased Aβ burden and AD case status (PFDR < 0.045). Furthermore, our study is the first to report a modest genetic covariance (covariance=0.17, P < 6.54 × 10−8) between the genetic architecture of amyloid burden captured by different modalities. While APOE showed a strong association with both amyloid endophenotypes, the observed genetic covariance was not substantially attenuated after excluding variants within the APOE region (covariance=0.16, P < 1.32 × 10−7). Our results highlight the benefits of leveraging compatible, harmonized AD endophenotypes to increase power to uncover new molecular insights into the etiology of AD neuropathology. Wang et al. present the largest GWAS of brain amyloidosis to date, analysing 13,555 individuals using amyloid PET and postmortem Aβ measures. They identify a novel amyloidosis-associated variant on chromosome 17, demonstrate genetic covariance between modalities, and highlight complex traits sharing genetic architecture with Aβ burden.

Importance TMEM106B is a frontotemporal lobar degeneration (FTLD) genetic susceptibility factor, and TMEM106B protein aggregates are a feature of aging and neurodegeneration. Whether TMEM106B protein levels are associated with clinical features is unknown. Objective To investigate the clinical associations of cerebrospinal fluid (CSF) TMEM106B in FTLD. Design, Setting, and Participants This cross-sectional study was conducted in 2 independent frontotemporal dementia (FTD) cohorts (recruitment from April 2009 through July 2023, with analyses from January 2025 through April 2026), with a 2-year follow up. This multicenter clinical study integrated clinical, genetic, biomarker, and neuroimaging data. Individuals were recruited through the University of California, San Francisco (n = 3733), or ALLFTD (n = 2343). Participants with available CSF were included. A discovery cohort (n = 271) included participants with sporadic neuropathology-confirmed FTLD; presymptomatic or symptomatic carriers of pathogenic variants in C9orf72 , GRN , or MAPT ; or controls. An independent validation cohort (n = 383) included participants with clinically diagnosed sporadic FTD, Alzheimer disease (AD), and controls. Exposures CSF samples for TMEM106B quantification with aptamer proteomics (SomaScan version 3.0 [discovery cohort] and SomaScan version 4.1 [validation cohort]). Main Outcomes and Measures Parametric tests compared the primary outcome, CSF TMEM106B, by disease severity, TMEM106B rs1990622 genotype, sex, clinical syndrome, pathological diagnosis, and pathogenic variant and determined associations with brain volume. Results In the discovery (n = 271; 136 women [51%]; median [IQR] age, 59 [38-80] years) and validation (n = 383; 183 women [48%]; median [IQR] age, 64 [50-78] years) cohorts, lower CSF TMEM106B was associated with more severe disease (β, −0.15; 95% CI, −0.24 to −0.04; P = .003), lower frontotemporal brain volumes (β, 0.42; 95% CI, 0.24-0.61; P < .001), and faster clinical progression (β, −2.21; 95% CI, −3.70 to −0.72; P = .001). Associations of TMEM106B with clinical disease severity were independent of those with neurofilament light chain. TMEM106B levels were influenced by TMEM106B rs1990622 genotype, where individuals with the protective G/G genotype had lower levels than the risk A/A genotype. CSF TMEM106B levels did not differentiate between FTLD subtypes or between FTLD and AD. Conclusions and Relevance Per the results of this cross-sectional study, TMEM106B is detectable in CSF and levels reflect disease severity in sporadic and genetic FTLD and AD, but levels are also influenced by the TMEM106B rs1990622 genotype. CSF TMEM106B could support further studies to understand the mechanisms of disease and develop clinical tools in FTLD and other neurodegenerative diseases.

Abstract Rationale This Registry was designed to prospectively evaluate the efficacy of extracorporeal photopheresis (ECP) to arrest the rate of FEV1 decline (FEV1 decline) and prolong survival in lung allograft recipients with Bronchiolitis Obliterans refractory to standard of care therapy. Methods After IRB approval, 258 lung transplant recipients were enrolled from 20 US lung transplant centers. Subjects were assigned to ECP treatment (ECPRx) (i.e., 24 procedures over 6 months) at or a few months after enrollment based on spirometric criteria. Maintenance ECPRx (mECP) was at the discretion of managing clinicians. Rate of FEV1 decline in mL/month (FEV1 decline) was compared between 6 months prior to and 6 & 12 months after ECPRx initiation using linear mixed effects models. Time 0 for survival was set as the start of ECPRx for generation of Kaplan-Meier curves. Hazard Ratios (HR) with 95% confidence intervals (lower-upper) were generated using Cox Proportional Hazards Regression to characterize significant (p < 0.05) independent associations of mECP and/or any other covariates (i.e., demographic, operative, enrollment site, spirometric ) and survival. Results An 89% (78%-96%) decrease in the FEV1 decline was observed 12 months after ECPRx initiation in 191 participants assigned to ECPRx. FEV1 decline (-164 mL/month: 144-185) was greater (p < 0.001) in participants who expired within six months of Time 0 (n = 28) vs participants (-111 mL/month: 101-120) who died six months after Time 0 (n = 77). Of 159 participants who survived for at least six months after ECPRx initiation, 40 participants without mECP, who had up to 24 ECPRx (ECPRx: n = 19), had a lower survival HR: 2.43(1.75-3.4) (p < 0.001) relative to 119 participants who received mECP (ECPRx: n = 86)(see Figure). The response to ECPRx (% Change in FEV1 decline prior to and 6 months after 1st ECP) was similar between subcohorts (No mECP: -81 decrease vs mECP: -85%, p = 0.3). The association of mECP persisted after multivariate adjustment HR 1.8 (1.8-2.7)(p = 0.002) using significant covariates: FEV1 HR 0.37 (0.3-0.5), FEV1 decline HR 0.001 (0.001-0.04), Male Gender HR 2.4 (1.7-3.4); Reflux Disease HR 1.8 (1.2-2.8); Coronary Disease HR 1.8 (1.2-2.7). Conclusions This analysis indicates that mECP is independently associated with enhanced survival most likely due to attenuation of relapse six months after ECP initiation based on similar initial response to ECPRx. A risk-adjusted, control cohort is being pursued to facilitate submission of a scientifically rigorous petition to CMS to expand the ECP National Coverage Decision to include BOS predicated on CMS 2024 scientific guidelines. This abstract is funded by: Therakos Inc

Apply It! By reading this article, you will: • Understand how commonly used cardiorespiratory fitness prediction equations can misclassify fitness in both high-performance and clinical populations. • Learn how common prediction equations were developed and why the population of prediction equation studies matters when interpreting estimated cardiorespiratory fitness and percent-predicted values. • Recognize how to critically assess the suitability of a given cardiorespiratory fitness equation based on your client’s or patient’s characteristics.

Abstract Drug-resistant epilepsy affects tens of millions of people worldwide and is associated with considerable morbidity and mortality. Thalamic deep brain stimulation and cortical responsive neurostimulation are proven treatments for focal epilepsy. Both have been used to target a range of thalamic nuclei; yet, the roles of these thalamic nuclei in focal seizure generation remain incompletely understood. Thirteen patients with drug-resistant focal epilepsy undergoing intracranial EEG were consented to undergo investigation of thalamocortical networks. Sampled regions included cortical, mesial temporal, and thalamic brain regions. Visual and spectral analyses were performed to identify seizure onset patterns and correlate thalamic and cortical seizure activity. Thalamic ictal discharges were observed in 89% of seizures. Of these, 56% demonstrated synchronous thalamocortical activity with distinct patterns. These onset patterns included hypersynchronous spiking, low-voltage fast activity, ictal baseline shifts, and broadband suppression. Multiple thalamic nuclei were involved in ictal organization and propagation, with the specific nuclei depending on the cortical seizure network. The thalamus plays a crucial role in focal onset seizure generation and propagation, with distinct seizure onset patterns and nuclei involved. These findings support exploring a broader range of thalamic nuclei in epilepsy neurostimulation and have implications for seizure detection settings in intracranial sensing devices.