Citations

Objective To validate International Bladder Cancer Group (IBCG) definitions of Bacillus Calmette‐Guérin (BCG)‐unresponsive and BCG‐exposed non‐muscle‐invasive bladder cancer (NMIBC) and assess prognostic heterogeneity across various BCG‐failure types. Patients and Methods From a multicentre international cohort of 3806 BCG‐treated patients, 591 who developed high‐grade NMIBC recurrence following BCG between 2003 and 2024 were included. Progression‐free survival (PFS) was the primary endpoint; cancer‐specific (CSM) and overall mortality (OM) were secondary endpoints. Cumulative incidence functions, competing‐risk models and multivariable Cox regression were used. Results Patients with BCG‐unresponsive and BCG‐exposed disease showed similar PFS, CSM, and OM (all P > 0.05). When stratified into five subgroups, prognosis varied: 5‐year progression rates were 29% for BCG‐unresponsive, 32.5% for late relapse (between 6 and 24 months) after adequate BCG, 30% for BCG‐exposed with inadequate BCG (<24 months from induction), 6.2% for BCG‐resistant, and 14% for very late relapse (>24 months since last BCG) ( P < 0.01). In multivariable analysis, BCG‐exposed after inadequate BCG (subdistribution hazard ratio [sHR] 3.42, 95% confidence interval [CI] 1.33–8.84), late relapse (sHR 3.74, 95% CI 1.59–8.78), and BCG‐unresponsive (sHR 2.34, 95% CI 1.00–5.44) were associated with higher progression risks compared to very late relapse. Limitations include retrospective design and treatment heterogeneity. Conclusions Under IBCG definitions, BCG‐unresponsive and BCG‐exposed NMIBC have similarly poor outcomes. A refined classification reveals prognostic heterogeneity, with late relapses after adequate BCG demonstrating outcomes comparable to BCG‐unresponsive, and very late relapses conferring better prognosis.

ABSTRACT Introduction/Aims Neuromuscular ultrasound (NMUS) is becoming increasingly incorporated as a complementary tool in electrodiagnostic (EDX) medicine. Competency assessment is critical to ensure adequate quality, appropriate application, and accurate interpretation. The primary objective was to develop a competency‐based assessment tool of foundational NMUS skills among postgraduate medical trainees in a single center. Methods The assessment included written (28 multiple‐choice, short answer, or yes/no) questions and practical skills (15 prompts) sections recommended by a published consensus‐based survey to include the knowledge and skills necessary to achieve minimal competency for unsupervised practice of NMUS for common conditions. The written portion included interpretation of basic pathology. Core practical content focused on the most evaluated structures in the Mayo EDX laboratory: the median and ulnar nerves and diaphragm muscle. The practical portion was administered by a single examiner and scored with a five‐point competency‐based rating. Four experienced educators used the Angoff standard setting method to set passing scores for each section. Results Subjects included three EMG‐track clinical neurophysiology fellows who completed a NMUS lecture series with supervised hands‐on scanning and a 2‐week intra‐lab NMUS elective during fellowship. Composite scores ranged from 89% to 97%. All subjects met minimum passing scores for each section (77% and 88% for the knowledge and skills sections, respectively). Discussion This NMUS competency assessment was successfully implemented and may be incorporated into postgraduate medical trainee evaluation to ensure minimal competency in evaluation of carpal tunnel syndrome, ulnar neuropathy at the elbow, and diaphragm function. This effort integrates quality NMUS evaluations into clinical practice.

The 2025 Voice AI Symposium represented a transition from conceptual research to clinical implementation in vocal biomarker science. Hosted by the NIH-funded Bridge2AI-Voice consortium, the meeting convened global experts to address the methodological, ethical, and translational challenges of integrating voice-based artificial intelligence (AI) into healthcare. This mini-review synthesizes symposium insights across six domains: multimodal integration, FAIR (Findable, Accessible, Interoperable, Reusable) and CARE (Collective Benefit, Authority to Control, Responsibility, Ethics) data governance, clinical translation, interdisciplinary training, and cross-sector innovation. Research presented demonstrated voice as a latent, multimodal biomarker reflecting neurological, cardiopulmonary, and psychological states, while discussions emphasized ethical data practices and human-centered design. The implementation-focused panels underscored the importance of workflow alignment and usability for adoption in real-world care. Collectively, the symposium reflects a field advancing toward translational readiness and ethical accountability, positioning voice AI as a scalable, inclusive tool for next-generation healthcare.

Abstract Radiotherapy is an established treatment for low-grade primary cutaneous B-cell lymphoma. Recommendations on its use differ internationally, which prompted our group to conduct this analysis. Twenty-two institutions participated in this international study. Patient eligibility required a diagnosis of limited (T1/T2) primary cutaneous marginal zone or follicle center lymphoma treated with radiotherapy between 1995 and 2023. Data were collected retrospectively until February 2024 within the framework of the International Lymphoma Radiation Oncology Group. Overall, 535 patients were analyzed. Predominant locations were the head (40%) and trunk (36%). Radiotherapy had a median dose of 24 Gy in fractions of 2 Gy. Complete responses were observed in 91% at a median time of 3.6 months following radiotherapy. There was no statistically significant difference between treatments ≤4 Gy and &gt;4 Gy for complete or overall response rates (P = .077 and P = .056, respectively). However, there was an inferior duration of local control with ≤4 Gy (5-year local control 73% ± 12% vs 96% ± 2%; P&lt; .001). Radiation dose was the main prognostic factor in the univariate and multivariable Cox analysis; however, higher doses did not translate into an overall survival benefit. Toxicities rarely exceeded grade 2 but were more frequent in the &gt;4 Gy group. Radiotherapy remains an effective treatment option for indolent skin lymphoma with low toxicity. High response rates are observed with low doses of ≤4 Gy. In comparison to conventional doses, these treatments have a shorter duration of local control but a favorable toxicity profile.

Bruton tyrosine kinase inhibitors (BTKis) and BCL2 inhibitor (BCL2i)–containing regimens significantly improve survival outcomes in patients with chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL). Results from randomized clinical trials have demonstrated that time-limited treatment with BCL2i-containing regimens resulted in higher rates of undetectable measurable residual disease (uMRD) than BTKi monotherapy or chemoimmunotherapy (CIT). Pirtobrutinib (a noncovalent BTKi) and lisocabtagene maraleucel (CD19-directed CAR T-cell therapy) are newer options for relapsed or refractory disease after prior therapy with BTKi and BCL2i-contining regimens. Histologic transformation of CLL/SLL to diffuse large B-cell lymphoma (Richter transformation) is associated with a poor prognosis. Molecular analysis to determine whether there is clonal relationship between CLL/SLL and transformed diffuse large B-cell lymphoma is useful to select an appropriate treatment option. These NCCN Guideline Insights highlight significant updates to the NCCN Guidelines for the treatment of CLL/SLL and Richter transformation.

Background: NCCN publishes evidence-based guidelines across the cancer care continuum that are commonly used as the standard for clinical management and policy in cancer care. Our study aimed to assess the content of survivorship recommendations within disease-based NCCN Guidelines. Methods: In January 2024, we downloaded 64 disease-based guidelines from the NCCN website; 10 were excluded. The remaining 54 guidelines were reviewed for survivorship-focused content. Content of the guidelines was systematically categorized across domains of the Quality of Cancer Survivorship Care Framework, and the level of detail was rated as not addressed, briefly addressed, mostly addressed, or fully addressed. Guidelines were re-reviewed for updates in April 2025. Results: Of 54 guidelines reviewed in 2025, 16 (30%) included a dedicated survivorship section with focused content, although sections, titles, and formats varied. Other guidelines included survivorship recommendations in algorithms and/or discussion sections. A total of 18 guidelines (33%) had neither a dedicated section nor reference to the NCCN Survivorship Guidelines. Guidelines with a dedicated section, as well as those referencing the NCCN Survivorship Guidelines (65%), generally provided more detailed survivorship content. Across all guidelines, the surveillance for recurrences/new cancers domain was most commonly included (96%) and typically the most detailed. Information on physical (81%) and psychosocial (72%) effects and health promotion (65%) was often included, but the level of detail varied. Chronic disease management (31%) was seldomly included. Information on care coordination/communication and patient education was present in 50% of the guidelines. Compared with the guidelines reviewed in 2024, the 2025 updates had limited expansion of survivorship content. Conclusions: Cancer survivorship content is inconsistently presented across disease-specific NCCN Guidelines. As these guidelines evolve, there is an opportunity to tailor, expand, and standardize the recommendations, making them easier to find by clearly labeling and integrating them within each guideline to improve accessibility and better support clinicians in delivering patient-centered care.

Purpose Survivors of critical illness often acquire significant physical, cognitive, and psychological burdens following their intensive care unit (ICU) stay, termed “post-intensive care syndrome” (PICS). Screening for PICS is generally not performed outside of research settings largely due to lack of a simple assessment tool and time constraints. Methods This was a prospective cohort study at a single academic medical center in the USA. We included adults (18 years or older) who spent greater than 48 h in any ICU within the medical center. Following transfer out of the ICU and at 3 months, psychological, cognitive, and physical functioning were assessed using the Hospital Anxiety and Depression Scale, Impact of Event Scale-Revised, Montreal Cognitive Assessment-blind, and Barthel Index. We compared these validated questionnaires to a brief, 15-item PICS screening tool (5 questions/domain) that was developed by our multidisciplinary study team and administered to study participants after ICU discharge to general care. The primary objectives of this study were to assess the ability of validated screening tools administered at ICU discharge to predict PICS at 3 months and develop a novel screening tool for identifying patients at risk of PICS. Major Findings 191 participants completed the initial questionnaire, and 109 (56%) completed the 3-month follow-up. PICS tool scores were compared to 3-month follow-up data from validated questionnaires to evaluate predictive performance. Overall, the screening tool weakly-to-moderately correlated with continuous outcomes of the validated measures at 3-month follow-up. When evaluating sensitivity and specificity for individual domains, the screening tool had an area under curve of >0.7 for all three domains, indicating moderate-to-good sensitivity and specificity. Conclusions We developed a brief PICS screening tool that is feasible to use without prior training that modestly predicted the development of PICS following ICU stay.

Artificial intelligence (AI) and machine learning have emerged as transformative analytic methods capable of identifying patterns and proposing treatment strategies from complex, heterogeneous data generated in patient care settings. However, translating reports of AI tools into clinical decision-making requires careful interpretation and contextualization. Here, we present a structured framework (ABCDEFG framework) for clinicians to critically appraise studies reporting AI tools using a high-profile reinforcement learning analysis of vasopressin initiation in septic shock as a case example. We highlight key methodological strengths including adherence to reporting standards, alignment with clinical outcomes, and external validation. We also identify limitations related to causal inference, reward structure design, assumptions about state representation, and implementation readiness. Our framework emphasizes the importance of rigorous, clinically grounded critique before integrating AI tools into practice, and provides a roadmap for clinicians to assess the reliability and relevance of emerging AI-based decision support.

Abstract Platinum-based chemotherapy remains a cornerstone of treatment for triple-negative breast cancer (TNBC), yet the molecular determinants governing platinum response remain poorly defined. By leveraging the randomized Phase II INFORM trial, which compared neoadjuvant cisplatin to anthracycline-based therapy in BRCA1/2 -mutant breast cancer—we identified miR-362-3p as a specific regulator of cisplatin sensitivity. Higher plasma miR-362-3p expression was exclusively associated with favorable clinical outcome in the cisplatin arm, with no association observed in the AC arm, decoupling platinum-specific vulnerability from general chemotherapy response. We used gain- and loss-of-function TNBC models to establish that miR-362-3p functions as a potent sensitizer to cisplatin in vitro and in vivo . Integrated TCGA analysis and experimental validation identified BCLAF1, a key regulator of DNA damage response, as a direct repression target of miR-362-3p. We uncovered a novel role for the miR-362-3p/ BCLAF1 axis in overcoming platinum resistance in TNBC.