Citations

Abstract Citation-prediction studies often estimate citation counts using information unavailable at publication. We evaluated whether citation-risk outcomes can be predicted using only publication-time information: metadata, references, author history, and text available on or before publication. We assembled 9,424 original-research articles published from 2017 to 2022 across seven clinical gastroenterology journals using OpenAlex and PubMed. The primary reference-observed cohort included 8,409 articles with a parsed reference list. The primary outcome was ≤ 3 citations within 2 years; secondary outcomes were 0 citations within 3 years, ≤ 3 citations within 3 years, and > 20 citations within 2 years. Models compared a nonsemantic citation/reference/context baseline, author-history variables, whole-document title/abstract embeddings, role-segmented source-text embeddings, and reference-context distributional features. Evaluation used two held-out publication-year folds with PR-AUC, or area under the precision-recall curve, F1, and precision among the top-ranked 10% of predictions. For the primary outcome, the nonsemantic baseline achieved PR-AUC 0.818, F1 0.722, and precision@10% 0.935. Adding whole-document embeddings improved performance to 0.828, 0.735, and 0.962, respectively. Structure-aware features did not improve the primary outcome but provided endpoint-specific gains for secondary outcomes. Author-history features showed standalone signal but did not improve the baseline. Pooled performance exceeded journal-local performance, indicating that citation-risk signal operated at the corpus level. These findings support publication-time-valid citation-risk modeling as a reproducible framework for studying evidence visibility within bounded literatures and motivate replication across other journal sets, specialties, and publication eras.

Abstract Aims Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) reduce major adverse cardiovascular events in diabetics. This study aimed to investigate the cardiac, cancer, and overall mortality effects of GLP-1 RAs in diabetics treated with anthracyclines. Methods and results We retrospectively identified 1384 diabetics treated with anthracyclines from 2013 to 2023; 56 received GLP-1 RAs between their first and last dose of anthracycline. These patients were propensity score matched 4:1 to 224 controls without concurrent GLP-1 RA use. Because stage was not available for 10 of the 56 patients, a repeat analysis was conducted with additional matching for cancer stage in 46 cases and 92 controls. Major endpoints were rate of all-cause and cancer-related and cardiovascular disease (CVD)–related mortality, no evidence of disease (NED), and hospitalization for CVD including heart failure (HF), over 5 years. Survival analyses were conducted using cause-specific hazards Cox regression. Patients on GLP-1 RAs had a significantly lower 5 year overall mortality (HR 0.46, CI 0.24–0.87, P = 0.007) and cancer-related mortality (HR 0.42, CI 0.19–0.91, P = 0.03). This mortality risk reduction remained significant even when accounting for covariates (HR 0.39, CI 0.20–0.75, P = 0.002). The percentage of patients with NED was higher in the GLP-1 RA than control group (60.9% vs. 38.0%, P = 0.007). A decline in left ventricular ejection fraction was seen in controls but not in patients on GLP-1 RAs. There was no significant difference in CVD hospitalization; the rate of HF-related hospitalization was very low overall. Conclusion GLP-1 RAs may offer survival benefits and better cancer- and cardiac function-related outcomes in diabetics undergoing anthracycline chemotherapy.

Abstract Background Approximately 12,000 adolescents and young adults (ages 15-39, AYAs) are diagnosed with a primary central nervous system (CNS) tumor each year. DNA methylation profiling has transformed CNS tumor classification by refining diagnostic accuracy and identifying biologically distinct subtypes, but its application has not been systematically evaluated in the AYA population. In this study, we examined the spectrum of CNS tumor types across age groups, with a focus on the AYA population. Methods We assembled a large dataset of CNS tumor samples with age annotations and methylation profiles matching with high confidence to a CNS tumor type using the NCI/Bethesda classifier. Prevalence of tumor type, methylation class and DNA copy number aberrations were compared across age strata (pediatric, AYA and adult). Results The cohort of 21,099 CNS tumors included 5139 tumors from AYAs (24%), which showed a mixed pattern, with tumors typical of childhood (e.g. medulloblastoma) as well as those common in older adults (e.g. glioblastoma). Several tumor types were specifically enriched in the AYA, including IDH-mutant astrocytoma, pleomorphic xanthoastrocytoma, posterior fossa group B ependymoma, and diffuse hemispheric glioma, H3 G34-mutant, among others. Distinct methylation subclasses of multiple tumor types were observed in the AYA, and patterns of genomic aberrations showed age-specific distributions. Conclusion Large-scale methylation profiling revealed unique classification patterns of CNS tumors in AYAs, with specific tumor types, subclasses, and genomic alterations enriched in this population. These data may serve as a valuable reference resource for better understanding the spectrum of CNS tumors affecting AYA patients.

Objective: To evaluate the institutional learning curve of robotic liver resection (RLR), its association with surgical complexity and outcomes in an international multicenter cohort. Summary of Background Data: RLR is increasingly adopted worldwide, but the dynamics of the learning process and its impact on surgical outcomes remain poorly defined. Methods: This international, multicenter, retrospective cohort study included consecutive patients who underwent RLR between 06/2013 and 12/2024 across 22 expert centers. Based on the first 150 cases at each center, three phases were used to define the learning curve: operative time for competency, major complications for proficiency, and textbook outcome for mastery. Risk-adjusted generalized additive models were used to assess the learning process. Benchmark performance was compared to international reference values. Results: Among 2,331 patients, the most common indications were hepatocellular carcinoma (36%), benign lesions (23%) and colorectal liver metastases (21%). Operative time decreased after achieving competency (case #62), from 240 to 220 minutes ( P <0.001). Major morbidity reached a plateau during the proficiency phase (cases #63–138; 9% vs. 11%, P =0.144), while progression to mastery (cases #139–150) was associated with a higher rate of textbook outcome (76% vs. 87%, P =0.021). In contrast, conversion (5.1% vs. 4.9% vs. 2%), bile leak (4.0% vs. 5.3% vs. 3.8%), and 90-day mortality (0.7% vs. 0.9% vs. 0.9%) remained low and stable across all learning phases. Importantly, benchmark criteria for operative time, hospital stay, and textbook outcome were met across all complexity groups, including during the early learning phase. Conclusions: Robotic liver surgery shows progressive outcome improvement with early achievement of benchmark-level results and stable performance across increasing complexity. These findings indicate that, in experienced centers, RLR can be safely implemented and integrated into clinical practice, supporting its key role in modern hepatobiliary surgery.

Abstract Background The tumor, node, metastasis (TNM) classification at pathological evaluation determines prognosis following cancer treatment. For rectal cancer patients undergoing neoadjuvant therapy, whether ypTNM likely confers different prognosis than pTNM. We compared survival outcomes of patients classified by ypTNM vs pTNM staging. Methods Patients with resected locoregional rectal cancer from the National Cancer Database who underwent upfront surgery (pTNM) and had ≥5 years follow-up (2010-2017) were compared with those receiving neoadjuvant therapy followed by surgery (ypTNM). To address treatment selection bias, analyses were stratified by receipt of guideline-concordant care. Overall survival (OS) was compared using Kaplan-Meier and multivariable Cox regression analyses. Results Of 50 436 patients (median age = 60; 61.4% male), 11 732 (23.3%) underwent upfront surgery and 38 704 (76.7%) received neoadjuvant therapy; 78.8% of the upfront surgery group received guideline-concordant care. In analyses stratified by guideline-concordant care, overall survival was similar for stage 0-I (hazard ratio [HR] = 1.05; 95% CI = 0.96 to 1.15) but significantly worse for ypTNM vs pTNM in stage II (HR = 1.50; 95% CI = 1.27 to 1.77; 5-year OS = 75.6% vs 83.2%) and stage III (HR = 1.60; 95% CI = 1.46 to 1.75; 5-year OS = 67.0% vs 78.2%). Multivariable analysis confirmed ypTNM was associated with worse survival at each stage (stage 0-I: HR = 1.14, P = .004; stage II: HR = 1.49, P &lt; .001; stage III: HR = 1.60, P &lt; .001). Conclusion Stage for stage, ypTNM classification is associated with worse survival than pTNM classification, with increasing difference at higher stages. Future staging systems and management guidelines should account for these differences to optimize prognostication and stratification for clinical trials and surveillance strategies.

Objective To evaluate the effects of mepolizumab therapy on the blood transcriptome in patients with severe eosinophilic asthma (SEA) and to determine whether changes in gene expression predict responsiveness to mepolizumab treatment. Methods Fourteen consecutive patients diagnosed with SEA were prospectively enrolled. Each patient had sequential blood samples obtained pre-initiation and at 4, 8, and 12 weeks post-initiation of mepolizumab. Peripheral blood mononuclear cells (PBMCs) were isolated from blood samples for bulk RNA sequencing. Paired differential expression (DE) gene analysis was performed comparing baseline gene expression versus all timepoints. Changes in gene expression were also compared between responders versus nonresponders to mepolizumab treatment. Finally, gene set enrichment analysis was evaluated across timepoints and its interaction with the response to mepolizumab treatment. Results Principal component analysis of all genes demonstrated a homogeneous distribution, which did not separate into distinct groups based on either timepoint or therapeutic response. At week 12, 149 genes had significant DE (FDR &lt; 0.05) compared to baseline. When performing all-way timepoint comparisons, 74 genes (63 protein-coding) were found to be downregulated at weeks 4, 8 and 12 compared to baseline, but no differences were observed between post baseline timepoints. Twenty-eight genes (16 protein-coding) did change with progression of time and were associated with response to therapy, and 56 protein-coding genes distinguished responders and nonresponders. At week 12, nonresponders had a high enrichment of genes involved with signaling pathways, including cytokines, growth factors, cell differentiation markers, and protein kinases. Conclusion In this exploratory study, mepolizumab use was associated with limited global transcriptomic separation with some preliminary differential-expression and enrichment findings. No definitive mechanistic or predictive response signatures were identified due to the study limitations. Future studies, including larger cohorts followed for longer durations with interrogation of specific immune subsets, may offer additional insight into the pathophysiology of severe eosinophilic asthma and into predicting response to mepolizumab treatment.

Abstract Introduction 0.05% Chlorhexidine Gluconate (CHG) has gained popularity as an irrigant and dip for inflatable penile prosthesis (IPP) surgery. Prior in vitro data is conflicting on the impact of CHG use with hydrophilic coated devices. Objective We sought to identify possible associations between CHG use and hydrophilic IPP infection rate. Methods We conducted a retrospective cohort study of 2,933 patients undergoing IPP implantation across 14 referral centers. Data collection spanned from January 1, 2017 to March 1, 2024. Each surgeon contributed patients who underwent IPP implantation with CHG used as an irrigant and/or dip as well as an equal number of consecutive control patients without CHG use. The primary outcome was IPP explant for postoperative infection. Univariable analysis was used to compare patient demographics, and logistic regression analysis was performed to assess factors associated with infection. Results Hydrophilic devices were implanted in 2,150 patients. Median follow-up for non-CHG patients was 13 months (IQR 18) and four months (IQR 9) for CHG patients. The incidence of infection with intraoperative CHG use was significantly higher compared to those without CHG use (4.6%, 46/1,001 vs. 2.1%, 24/1,148, p&lt;0.001). On multivariable logistic regression analysis, intraoperative CHG use was associated with infection (OR 2.07, 95% CI 1.24-3.47, p=0.01). Additional variables associated with infection included immunosuppression, prior IPP infection, prior priapism, and revision surgery (p&lt;0.01, Table). On subgroup analyses, the increased infection risk of CHG was most clear when CHG was used as both irrigation and dip (OR 2.03, 95% CI 1.19-3.46, p=0.01) and when CHG was used during revision surgery (OR 3.36, 95% CI 1.15-9.82, p=0.03). Conclusions In a large multi-institutional cohort, intraoperative CHG use was associated with an elevated incidence of hydrophilic IPP infection. Providers may take these findings into consideration when performing IPP surgery with hydrophilic devices, especially during revision surgery. Disclosure Any of the authors act as a consultant, employee or shareholder of an industry for: Intuitive Surgical, Fidelis, Urofill, Boston Scientific, Coloplast, Cynosure, Antares Pharma, Clarus Pharmaceuticals, Acerus Pharma; Endo Pharma