Citations

ABSTRACT Background : Tirofiban is a GP IIb/IIIa inhibitor, an anti‐platelet drug that is used in ischemic stroke or acute coronary syndromes. The goal of this study is to assess the safety and efficacy of the drug in patients who have suffered an acute ischemic stroke. Methods : A comprehensive search of PubMed, Embase, the Cochrane Library, and ClinicalTrials.gov from inception to December 2025 yielded randomized controlled trials (RCTs) comparing Tirofiban and conventional management in patients with acute ischemic stroke. We assessed the risk of bias using the revised Cochrane “Risk of bias” tool for randomized trials (RoB 2.0). We analyzed the outcomes using RevMan 5.4, with risk ratio (RR) as the effect measure. Results : A total of 9 RCTs with 4210 patients were included in our meta‐analysis. According to our meta‐analysis, the tirofiban group was associated with a statistically significant increase in the patients showing functional independence at 90 days, measured by patients with Modified Rankin Score (mRS) of 0–2 (RR 1.13; CI = 1.06–1.20) and excellent outcome (mRS score 0–1) at 90 days (RR 1.17; CI = 1.05–1.29). We found no statistically significant difference between the two groups regarding mortality (RR 0.94; CI = 0.63–1.40). The tirofiban group had an increased incidence of intracranial hemorrhage (ICH) (RR 1.25; CI = 1.06–1.47) but had a similar incidence of symptomatic ICH as compared to the control group (RR 1.48; CI = 0.98–2.24). Conclusion : This meta‐analysis suggests that tirofiban may improve favorable functional outcomes (mRS 0–2) in acute ischemic stroke, although the certainty of evidence was moderate. While no significant increase in sICH was observed, some analyses showed a higher rate of overall intracranial hemorrhage. These findings should therefore be interpreted cautiously, and further high‐quality randomized trials are needed to confirm the efficacy and safety of tirofiban before routine guideline use.

Colorectal cancer (CRC) is responsible for a high cancer burden and a high number of deaths all over the world, although effective screening can make it preventable to a significant extent. Stool-based tests, such as the fecal immunochemical test (FIT) and multitarget stool DNA (mt-sDNA) testing, are gaining considerable popularity as non-invasive procedures that can be a replacement for colonoscopies for people at an average risk for colon cancer. Despite evidence from several randomized controlled trials supporting the use of these tests for colorectal cancer screening, their external validity in a real-world setting is influenced by many factors such as adherence, timely follow-up post testing, the healthcare cost burden, accessibility and the capacity of the health system. In this article, we have performed an extensive narrative literature review of research published between 2020 and 2025 comparing FIT and the mt-sDNA test with reference to diagnostic accuracy, cost-effectiveness, adherence and outcomes of implementation. We discuss the issues of sensitivity and specificity, look at post-test requirements for colonoscopy and check if there is any discrimination in healthcare. These findings suggest that FIT and mt-sDNA tests should not be considered competing technologies but rather complementary screening methods, with their overall effectiveness contingent upon appropriate patient selection and widespread system-level implementation. It is crucial to combine strategic test selection with a robust follow-up infrastructure to ensure that the entire population benefits from the CRC prevention program.

ABSTRACT HLA‐DPA1*03:25 is characterised by a single nucleotide substitution in codon 96 in exon 3.

e15722 Background: Despite overall improvements in colorectal cancer (CRC) outcomes, concerning trends have emerged in younger populations. We examined two decades of US mortality data to characterize age-specific trajectory differences and identify inflection points in the epidemiologic landscape of CRC. Methods: Using CDC WONDER data (1999–2020), we analyzed age-adjusted CRC mortality rates (ICD-10: C18–C20) stratified by age: early-onset (≤44 years) versus late-onset (≥45 years). Joinpoint regression analysis (Version 5.4.0.0) with permutation testing identified significant trend changes. Annual Percent Change (APC) estimates with 95% confidence intervals assessed temporal patterns, with statistical significance set at α = 0.05. Results: Late-onset CRC (≥45 years): Mortality rates declined substantially from 69.26 to 40.49 per 100,000, representing a 41.6% reduction. A critical inflection point occurred in 2014 (95% CI: 2011–2015), marking a deceleration in the rate of improvement. The pre-2014 period showed robust decline (APC: −3.06%; 95% CI: −3.18 to −2.93; p < 0.000001), which slowed significantly post-2014 (APC: −1.61%; 95% CI: −2.12 to −1.09; p = 0.000006)—a 47% reduction in the pace of mortality improvement.Early-onset CRC (≤44 years): In stark contrast, mortality rates increased from 0.92 to 1.13 per 100,000, representing a 22.8% rise. No inflection points were identified; instead, a persistent upward trajectory characterized the entire 22-year period (APC: +0.78%; 95% CI: +0.54 to +1.02; p = 0.000001). This yielded a continuous, unabated increase in deaths among young adults. Conclusions: This analysis reveals a troubling paradox in US colorectal cancer mortality: while older adults experienced substantial but decelerating improvements, young adults faced steadily worsening outcomes throughout the study period. The 2014 inflection point in older adults, coinciding with slowed screening expansion and potential changes in risk factor prevalence, coupled with the relentless rise in early-onset mortality, signals an urgent need to reassess prevention strategies, lower screening age thresholds, and investigate biological and environmental drivers of early-onset disease. The nearly 23% increase in mortality among those ≤44 years represents a growing public health crisis demanding immediate action.

8021 Background: Lung cancer is the leading cause of cancer-related mortality worldwide, primarily due to delayed diagnosis and diagnostic variability in histopathological assessment. Advances in deep learning applied to medical imaging offer the potential to enhance early detection accuracy, reduce interobserver variability, and improve diagnostic efficiency in lung cancer. Methods: In this retrospective study, we evaluated DAVINCI using a dataset of 8,962 patients with confirmed lung malignancies. The model utilizes a specialized architecture combining convolutional neural networks (CNNs) and residual blocks to optimize feature extraction from high-resolution pathological slides. Performance was measured via detection accuracy, recall, specificity, and Area Under the Curve (AUC). Results: A total of 8,962 patients were included in the analysis. The DAVINCI model correctly identified lung cancer in 93% of cases, corresponding to 8,334 of 8,962 patients, with a 95% confidence interval (CI) of 86%–100% (7,707–8,962 patients). Model specificity was also 93% (95% CI, 86%–100%), indicating a high true-negative rate. Sensitivity (recall) was 87%, with correct detection in 7,797 patients and a 95% CI of 80%–94% (7,170–8,425 patients). The model demonstrated strong discriminatory performance, achieving an area under the curve (AUC) of 0.91 (95% CI, 0.84–0.98). In comparison, active pathologists achieved a mean diagnostic accuracy of 83%, corresponding to 7,438 of 8,962 cases, with a 95% CI of 76%–90% (6,811–8,066 cases). In terms of efficiency, DAVINCI processed whole-slide images in 16–19 seconds, substantially faster than conventional manual review, which typically requires several minutes per slide. Conclusions: DAVINCI demonstrated superior accuracy, robust discriminatory performance, and markedly faster processing compared with human review, supporting its potential role in early lung cancer detection at scale.

Telehealth may improve access to specialized oncology care for Medicaid beneficiaries with hematological malignancies who face geographic and financial barriers. During the COVID-19 public health emergency, telehealth use expanded rapidly, yet state policies governing telehealth coverage/payment parity varied. Evidence is limited on how these policy differences influenced oncology telehealth use for Medicaid patients. We conducted a cross-sectional analysis of 2020–2021 multistate Medicaid claims. Adult and pediatric oncology specialists were identified based on board certification data. Telehealth video visits were measured monthly at the extensive margin, defined as the proportion of specialists providing any telehealth, and the intensive margin, defined as average monthly telehealth visits among telehealth providing specialists. States were categorized by private insurance telehealth policy environment: coverage and payment parity, coverage parity only, or no or unspecified parity. Telehealth use increased sharply across all states in early 2020, rising from less than 1% of specialists before the pandemic to peak levels by April 2020. Specialists practicing in coverage and payment parity states demonstrated higher and more sustained telehealth use through 2021 compared with those in coverage only or no parity states. By December 2021, 15.1% of adult specialists in coverage and payment parity states provided telehealth, compared with 8.1% in coverage-only states and 7.8% in no-parity states. Pediatric specialists showed similar patterns, though overall telehealth use remained lower. Specialists in parity states also maintained higher monthly telehealth visit volumes over time. State-level coverage and payment parity policies may have been associated with greater and sustained telehealth provision by oncology specialists treating Medicaid beneficiaries with hematologic malignancies. Maintaining supportive telehealth policies may be essential for promoting equitable access to specialized cancer care and reducing disparities among underserved populations. These findings inform future telehealth policy decisions nationally statewide.

Background: Asymptomatic intracranial atherosclerotic arterial stenosis (ICAS) is an underrecognized entity for which vascular risk-factor optimization is the primary management strategy, with no current indication for routine antiplatelet therapy or endovascular intervention for primary stroke prevention. Glucagon-like peptide-1 receptor agonists (GLP-1RAs) reduce major adverse cardiovascular events, including stroke, in high-risk cardiometabolic populations, but their association with outcomes in asymptomatic ICAS is yet to be evaluated. The present study aims to evaluate the association between GLP-1RA use and cerebrovascular outcomes in adults with asymptomatic ICAS. Materials and Methods: We used the TriNetX US Collaborative Network (71 healthcare organizations) to identify adults (≥18 years) with ICAS between 1 January 2016 and 31 December 2025, and excluded patients with prior cerebral infarction, intracranial hemorrhage, or cerebrovascular ischemic syndromes. Exposure was defined as initiation of any GLP-1 receptor agonist (lixisenatide, semaglutide, liraglutide, tirzepatide, dulaglutide) during the 6 months before or on the date of index ICAS diagnosis. Outcomes were assessed at 1 year, and included ischemic stroke, all-cause mortality, and a composite of ischemic stroke or mortality. Propensity-score matching (1:1) was performed, including demographics, vascular risk factors, comorbidities, antithrombotics, lipid/diabetes therapies, and cardiometabolic laboratory/physiologic measures. Results: Before matching, 1746 GLP-1RA users and 71,792 non-users met inclusion criteria; after matching, 1728 patients remained in each cohort. GLP-1RA use was associated with lower 1-year risk of ischemic stroke (4.40% vs. 6.10%; hazard ratio [HR] 0.70, 95% CI 0.52–0.95; p = 0.044), lower all-cause mortality (3.40% vs. 9.40%; HR 0.35, 95% CI 0.26–0.47; p < 0.001), and lower composite outcome risk (7.50% vs. 15.00%; HR 0.48, 95% CI 0.39–0.59; p < 0.001). Notably, these associations were observed despite matching for HbA1c, LDL cholesterol, BMI, and systolic blood pressure, suggesting potential effects beyond measured cardiometabolic risk profiles. Conclusions: In this large, propensity-matched cohort of adults with a-ICAS, GLP-1RA use was associated with lower ischemic stroke, all-cause mortality, and composite outcome at 1 year. These findings are hypothesis-generating and require further prospective studies to confirm this observation.

ABSTRACT The novel HLA‐A*03:535 allele is characterised by a single nucleotide substitution in exon 1.

BACKGROUND: Unruptured intracranial aneurysms (UIAs) affect up to 5% of the population, and rupture can lead to devastating subarachnoid hemorrhage. GLP-1RAs (glucagon-like peptide-1 receptor agonists) have anti-inflammatory and vasculoprotective effects, but their impact on aneurysm stability and subarachnoid hemorrhage outcomes is unexplored. This study evaluated whether GLP-1RA use is associated with reduced rupture risk and attenuated severity in the event of a rupture. METHODS: We conducted a retrospective cohort study using the TriNetX US Collaborative Network (2016–2024). Cohort 1 included patients with newly diagnosed, untreated UIA; cohort 2 included those who suffered aneurysm rupture. GLP-1RA exposure was defined as use before or within 3 months of UIA diagnosis (cohort 1) or before rupture (cohort 2). The primary outcome was aneurysm rupture risk in cohort 1. Secondary outcomes include presentation severity, vasospasm, and mortality in cohort 2. Propensity score matching balanced demographics, comorbidities, and medications. RESULTS: After propensity score match, cohort 1 of patients with untreated UIA included 8088 GLP-1RA users and 8088 nonusers. GLP-1RA use was associated with significantly lower probabilities of aneurysm rupture at 1-year (0.65% versus 1.51%; P <0.001), 3-year (1.18% versus 1.85%; P <0.001), and 5-year (1.49% versus 2.10%; P <0.001) timepoints, representing a 48% decrease in hazards (hazard ratio, 0.52 [95% CI, 0.38–0.69]). Among patients who suffered aneurysm rupture (cohort 2, N=298 after propensity score match), prerupture GLP-1RA use (n=149) was associated with lower rates of intraparenchymal hemorrhage (17.4% versus 33.6%; P <0.001), intraventricular hemorrhage (10.1% versus 23.5%; P <0.001), and clinically significant vasospasm (10.7% versus 24.2%; P =0.002), as well as numerically lower rates of 30-day mortality (9.4% versus 14.1%; P =0.21). CONCLUSIONS: For patients with untreated UIA, GLP-1RA use was associated with a 48% reduction in aneurysm rupture risk and, among those who suffered aneurysm rupture, milder clinical and radiographic severity. These findings suggest possible neuroprotective and vascular stabilizing effects of GLP-1RAs for patients with UIA.

Abstract Background Sleep disorders are increasingly recognized as important risk factors for cardiovascular disease (CVD), yet their contribution to cardiovascular mortality remains insufficiently examined at the population level. This study aimed to evaluate long-term trends in CVD mortality where sleep disorders were identified as contributing causes of death. Methods We analyzed U.S. national mortality data from 1999 to 2020 among individuals aged 15 to 84 years. Cases were selected where CVD (ICD-10: I11.0, I11.9, I20-I25, I48, I49.0, I49.9, I50.0, I50.1, I50.9) was the underlying cause and sleep disorders (ICD-10: G47.0-G47.3) were listed as contributing causes. Joinpoint regression was employed to assess temporal changes in age-adjusted mortality rates (AARs), with standard errors provided in the input data and model selection performed using Weighted BIC. APCs were estimated using the Empirical Quantile Method with 5001 resamples. Results A total of 118,440 deaths were included across 22 annual time points. Joinpoint regression identified two significant inflection points (2005 and 2018). From 1999 to 2005, AARs increased sharply (APC = 14.47%; 95% CI: 11.56-19.54; p = 0.0016), followed by a slower rise from 2005 to 2018 (APC = 6.62%; 95% CI: 4.23-10.83; p &lt; 0.000001), and a renewed acceleration from 2018 to 2020 (APC = 11.54%; 95% CI: 7.01-14.12; p &lt; 0.000001). Males had more than twice the AAR compared to females (3.00 vs. 1.31 per 100,000). Black individuals had the highest burden by race (AAR = 2.55), and geographic variation ranged widely from 0.70 in New York to 3.38 in Wyoming. Conclusions Over two decades, cardiovascular mortality with contributory sleep disorders has risen significantly, with widening demographic and geographic disparities. These findings reinforce that sleep disorders are not merely comorbidities but pivotal, modifiable drivers of cardiovascular morbidity and mortality. Untreated sleep conditions such as insomnia, obstructive sleep apnea, and circadian disruptions exacerbate autonomic dysfunction, inflammation, hypertension, and metabolic dysregulation. Addressing sleep health must become a core component of cardiovascular risk reduction strategies, both in clinical practice and public health policy. Failure to integrate sleep disorder screening, diagnosis, and management into CVD care pathways risks perpetuating a preventable and growing burden of disease. This abstract is funded by: None