Citations

Abstract Purpose The aim of this systematic review and meta‐analysis was to quantify and compare the evidence on the results obtained with the surgical treatments for meniscal lesions in athletes. Methods A literature search was conducted on PubMed, Cochrane and Web of Science in August 2025 according to the PRISMA guidelines. Inclusion criteria were clinical studies (randomised controlled trials [RCTs], non‐randomised comparative studies and case series), ≥6 patients, in the English language, on the surgical treatment of meniscal lesions in athletes. A meta‐analysis was conducted on the rate of patients returning to sport, the time to return to sport, and the rate of patients returning to the pre‐injury level of sport. Patient‐reported outcome measures, adverse events, failures and reoperation rates, as well as risk of bias and quality of evidence, were also documented. The risk of bias was assessed using the Cochrane RoB 2.0 tool, the Cochrane ROBINS‐I tool, and the JBI Critical appraisal checklist. The quality of evidence was assessed using a modified Coleman score and the GRADE tool. Result The mean time to return to sport was 2.1 months for meniscectomy, 5.8 months for meniscal repair, and 8.9 months for meniscal allograft transplantation (MAT). Statistically significant differences were observed between meniscectomy and repair and between meniscectomy and MAT (both p < 0.001). Meniscectomy showed a return to sport rate of 98.2%, meniscal repair of 96.9%, and MAT of 94.2%, while return to the same pre‐injury level of sport was reported as 84.4% for meniscectomy, 81.3% for meniscal repair, and 77.4% for MAT, with no statistically significant differences between groups. The mean modified Coleman Methodology Score for the included studies was 66.6 ± 7.0. Conclusion Meniscectomy, meniscal repair, and MAT are all able to provide high rates of return to sport in athletes. In the investigated treatment cohorts, meniscectomy presented the shortest pooled time to return to sport, followed by meniscal repair and MAT. Importantly, all treatments offered good rates of return to the same level of athletic performance. The treatment choice should be guided by an individualised, multidisciplinary approach aimed at providing a patient‐tailored treatment strategy to optimise both athletic recovery and joint preservation. Level of Evidence Level I.

Background: Nonpharmacologic interventions have known benefits for managing chronic pain, particularly for conditions such as fibromyalgia, and are included in clinical guidelines. However, eye movement desensitization and reprocessing (EMDR) has not been established as a routine clinical practice for pain management. Objective: To systematically review the efficacy of EMDR for managing chronic pain. Methods: A search was conducted to identify randomized clinical trials (RCTs) and observational studies by using the keywords “EMDR” and “chronic pain.” Information was collected on the study population, EMDR protocol, methods for pain assessment, and outcomes. Risk of bias was evaluated, and intervention effect sizes were determined by calculating Hedges g values for long-term follow-up data in RCTs. Results: A total of nine studies, including seven RCTs, were reviewed. The studies used various diverse pain measurement tools and EMDR protocols. All reported significant improvements in pain symptoms with EMDR. Most of the studies reported statistically significant improvements in associated mental health issues, notably in psychological distress (four out of four studies), anxiety (three out of three studies), and depression (three out of four studies). Effect sizes varied among the studies, with three RCTs reporting large effects, two RCTs reporting moderate effects, and one RCT reporting small or nonsignificant effects. Conclusion: EMDR shows promise for managing chronic pain and addressing associated mental health symptoms. Despite study differences and limitations, the findings of this systematic review support the potential use of EMDR for chronic pain management.

Background: In the last decade, a surge of advancements in and approvals of immunotherapies has revolutionized the treatment of non-small-cell lung cancer (NSCLC). Even as an increasing number of immune checkpoint inhibitors and antibody–drug conjugates gained FDA approval for the remarkable response and durable remission they imparted to some patients, persistent challenges of primary and acquired resistance, imperfect predictive biomarkers, and toxicity remain. Methods: This review identifies and summarizes the most significant emerging clinical data being reported for immunotherapies in NSCLC. Results: We found that the most recent clinical trials are centered on antibody–drug conjugates, bispecific and multispecific antibodies, cellular therapies, and immunocytokines, while other ongoing trials continue to explore new monoclonal antibodies as well as a variety of immunotherapy modalities. Conclusions: Immunotherapy in NSCLC remains an area of rapid advancement, with the potential for further improvements in safety and efficacy as monotherapy and in multimodal approaches.

Introduction Sleep is routinely assessed in the management of mental health conditions. Wearable technologies like smartwatches offer a non-intrusive method to quantitatively measure sleep. However, there are limited empirical benchmarks for sleep duration and sleep quality measured by wearables against user reports. This study aims to evaluate the concordance between user-reported and smartwatch-measured hours of sleep and sleep quality. Methods Participants were recruited from two decentralized digital health well-being studies and completed a 7-day sleep diary while simultaneously wearing their smartwatch to sleep (November 7, 2023 - June 30, 2024). Participants self-reported sleep timestamps and perceived sleep quality using the Sleep Quality Scale. Sleep timestamps and quality were also derived from their smartwatches (Garmin Vívoactive 4 2019, Garmin Venu 2 Plus 2022, and Garmin Venu 3/3S 2023). Statistical analyses included paired t-tests, equipercentile linking, and chi-square tests to assess agreement between smartwatch and self-reported sleep parameters. Exploratory analyses established the difference between reported and recorded sleep duration in healthcare shift workers. Results From 841 sleep instances reported by 130 participants wearing three different generation smartwatches, the mean difference in sleep duration between smartwatch-recorded and participant-reported was 21.22 (Garmin Vívoactive), 11.67 (Garmin Venu 2 Plus), and 6.58 (Garmin Venu 3/3S) minutes, respectively. There were statistically significant between-group differences in mean sleep durations assessed by participant self-report vs. Vívoactive 4 smartwatches, but not self-report vs. Venu 2 Plus or Venu 3/3S smartwatches. Equipercentile linking revealed concordance between smartwatch sleep scores and self-reported sleep quality using the Sleep Quality Scale (SQS) between 4 and 7, with disagreements observed at the SQS ranges from 0–4 and 7-10. Conclusions These results suggest that wearables can reliably measure sleep duration, and future research warrants improvements in algorithms that estimate sleep quality with validations across different wearable vendors.

Objective: To compare 1-year changes in estimated 10-year and lifetime atherosclerotic cardiovascular disease (ASCVD) risk following metabolic and bariatric surgery (MBS) versus glucagon-like peptide-1 receptor agonist (GLP-1RA) therapy among adults with obesity. Summary Background Data: Obesity is a major driver of ASCVD through adverse metabolic and inflammatory pathways. Metabolic and bariatric surgery and GLP-1 receptor agonists represent the most effective contemporary treatments for obesity and are increasingly used to mitigate cardiovascular risk. However, their comparative effects on integrated short-term and lifetime ASCVD risk in real-world clinical practice remain incompletely characterized. Methods: We conducted a retrospective cohort study of adults with obesity (body mass index ≥30 kg/m²) who underwent MBS or initiated GLP-1RA therapy between 2020 and 2023 within a large tertiary health care system in the United States. Participants were identified from electronic health records and followed for 12 months. Primary outcomes were 1-year changes in estimated 10-year and lifetime ASCVD risk. Secondary outcomes included percent total body weight loss, blood pressure, and lipid parameters. Multivariable linear regression models were used to adjust for baseline body mass index and baseline ASCVD risk. Results: The final cohort included 812 patients, of whom 579 underwent MBS and 233 initiated GLP-1RA therapy. At baseline, patients receiving GLP-1RAs were older and had higher estimated ASCVD risk. At 1 year, reductions in 10-year ASCVD risk were similar between groups (−0.8% vs. −1.1%; P =.36). In contrast, lifetime ASCVD risk decreased significantly more following MBS than GLP-1RA therapy (−8.6% vs. −1.7%; P <.001). MBS was associated with greater percent total body weight loss (−27.8% vs. −11.1%; P <.001) and more favorable lipid changes, including larger reductions in low-density lipoprotein cholesterol and greater increases in high-density lipoprotein cholesterol. After adjustment, MBS remained independently associated with a greater reduction in lifetime ASCVD risk compared with GLP-1RA therapy (β −6.92; 95% CI −9.22 to −4.62). Conclusions: In this real-world cohort, both MBS and GLP-1RA therapy were associated with improvements in estimated cardiovascular risk, but MBS conferred substantially greater reductions in lifetime ASCVD risk, accompanied by superior weight loss and lipid improvements. These findings highlight the complementary roles of surgical and pharmacologic therapies in obesity management and may inform strategies to optimize long-term cardiovascular risk reduction.

Abstract INTRODUCTION Repetitive head impacts (RHI) from contact sports may cause a unique pattern of white matter hyperintensities (WMH) on T2‐weighted fluid‐attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI), termed RHI‐associated WMH (RHI‐WMH). These lesions are punctate, circular, and located at the gray–white matter boundary, an area vulnerable to trauma‐related damage. METHODS We investigated the association of RHI with these lesions in two aging cohorts: (1) former American football players versus asymptomatic unexposed men and (2) individuals with RHI from various contact sports versus non‐RHI participants. RHI‐WMH were assessed using visual ratings and a novel automated quantification pipeline. RESULTS Individuals with RHI had greater RHI‐WMH by both detection methods in both cohorts. RHI‐WMH were associated with plasma neurofilament light and p‐tau231, and flortaucipir positron emission tomography (PET) uptake. DISCUSSION RHI‐WMH may represent a new supportive biomarker for the detection of RHI‐related neuropathologies later in life.

Introduction In recent years collared femoral stems have been increasingly utilized in total hip arthroplasty (THA) for their ability to improve rotational stability, metaphyseal load transfer, and prevent periprosthetic femoral fracture (PFF). While literature has demonstrated their benefit over collarless stems, the clinical and biomechanical implications of a postoperative collar–calcar gap (CCG) after implantation remain incompletely understood. Objective The purpose of this scoping review was to evaluate existing literature around CCG in primary THA. Methods A PRISMA Scoping Review literature search was conducted across Ovid MEDLINE, Embase, Cochrane CENTRAL, and Scopus databases. Studies were included if they reported CCG incidence, subsidence, remodeling, or biomechanical performance in primary THA. Two independent reviewers screened studies and extracted data, and clinical study quality was assessed using the Newcastle–Ottawa Scale. Results A total of 408 studies were identified and 11 met inclusion criteria. The incidence of postoperative CCG varied from 18.7% to 53.9%. Most gaps demonstrated closure over time (66–76%). Biomechanical and finite element studies showed improved stability, reduced micromotion, and decreased periprosthetic fracture risk when direct collar–calcar contact was achieved. In contrast, stems with persistent gaps demonstrated increased subsidence (up to 19% vs 1.3%) and biomechanical behavior comparable to collarless designs. Conclusion CCG is common following THA. The majority of gaps resolve, however biomechanical evidence demonstrates that the advantages of collared stems depend on calcar contact. Preventing CCG may optimize early implant stability, though surgical technique must balance mechanical engagement with preservation of proximal femoral bone stock.

Purpose: During diagnostic cerebral angiography, catheter navigation requires manual contrast “puff” injections, while subsequent 2D/3D runs often use automated power injectors. Using power injectors for navigation puffs has not been described. We present a closed-circuit dual-port injector system (Nemoto Press Duo Elite) that integrates both navigation puff delivery and diagnostic run injection into a single automated platform, eliminating all manual tableside contrast handling. A foot pedal interface enables operator-controlled puff timing, potentially reducing contrast waste and air embolism risk while improving single-operator ergonomics with future remote robotic implications.Materials and Methods: This retrospective comparative cohort study compared 19 consecutive patients undergoing diagnostic cerebral angiography with foot pedal-controlled puff injections (June–July 2023) to 19 historical controls using manual hand injections (May 2021). Both groups used 90% contrast concentration. Fluoroscopy time, radiation dose, contrast utilization, and safety outcomes were compared.Results: Groups were demographically matched (mean age 52.1±14.2 vs. 50.2±12.9 years; 73.7% female). All 38 procedures achieved diagnostic adequacy with no complications. The foot pedal group demonstrated significantly shorter procedure time per vessel (11.5±4.4 vs. 18.9±10.5 min/vessel, P=0.010) with no significant differences in fluoroscopy time (P=0.171), radiation dose (P=0.690), or contrast delivered (88.7±30.9 vs. 88.2±42.5 mL, P=0.966). A trend toward improved contrast efficiency was observed (23.4±9.4 vs. 27.4±10.4 mL/vessel, P=0.226). Despite undergoing significantly more 3D rotational runs (1.3±1.0 vs. 0.6±0.7, P=0.030), the foot pedal group maintained comparable safety metrics, strengthening the non-inferiority findings.Conclusion: A closed-circuit dual-port injector system integrating automated navigation puff delivery with diagnostic run injection demonstrates non-inferiority to manual injection for diagnostic cerebral angiography, with shorter procedure time per vessel (39% reduction, P=0.010), though interpretation is limited by differences in indication distribution. By eliminating manual tableside contrast handling, this approach enables precise digital contrast accounting and reduces air embolism risk, establishing a foundation for remote and robotic angiography applications.

Abstract Different types of health care worker distress are often conflated. Understanding their distinctions helps customize support and encourages more exact terminology in academic discourse. While it is not necessary to diagnose a colleague to support them, it helps to have an awareness of unique struggles. This targeted support can be provided alongside universally caring approaches such as empathetic listening, encouraging professional support, maintaining confidentiality, seeking specialist advice, and destigmatizing mental health issues.

Abstract Machine learning (ML) enables adaptive immune receptor repertoires (AIRRs) analyses for biomarker identification and therapeutic development. With the majority of AIRR data partially or imperfectly labeled, unsupervised ML is essential for motif discovery, biologically meaningful clustering, and generation of novel receptor sequences. However, no unified framework for unsupervised ML exists in the AIRR field, hindering the assessment of model robustness and generalizability. Here, we present an immuneML release advancing unsupervised ML in the AIRR field through unified clustering workflows, interpretable generative modeling, integration with protein language model embeddings, dimensionality reduction, and visualization. We demonstrate immuneML’s utility in three use cases: (i) benchmarking generative models for epitope-specific sequence generation, assessing specificity and novelty, (ii) systematic evaluation of clustering approaches on experimental receptor sequences against biological properties, such as epitope specificity and MHC, and (iii) unsupervised analysis of an experimental AIRR dataset to examine potential confounding, a practice widespread in related fields but unexplored in AIRR analyses.