Citations

ABSTRACT Background LINS1 , the human homolog of the Drosophila segment polarity gene, encodes a key regulator of the Wingless/Wnt signaling pathway. While numerous genes have been implicated in intellectual disability (ID), only a limited number have been conclusively associated with autosomal recessive intellectual disability (ARID). Variants in LINS1 have been identified as one such cause. Methods In this study, we employed exome sequencing (ES) to investigate the genetic basis of ID in two consanguineous Iranian families. This variant was confirmed by Sanger sequencing, and segregation analysis supported its pathogenicity. Additionally, in silico analyses were conducted to explore the protein–protein interaction network of LINS1 and its functional connections to ID‐associated proteins. Results We identified a novel homozygous missense variant in LINS1 (c.1354G>C), leading to an alanine‐to‐proline substitution (p.Ala452Pro) in exon six. Conclusion Our findings provide new molecular and clinical insights into the role of LINS1 in ARID, expanding the genetic landscape of ID. This discovery has significant implications for genetic counseling and prenatal diagnosis, aiding in the identification of at‐risk couples.

ABSTRACT Objectives While maxillary sinus fungal balls (MSFB) can be associated with odontogenic conditions (MSFBO), MSFBO clinical and dental features have not been compared to odontogenic sinusitis (ODS). This multicenter study aimed to compare characteristics of MSFB, MSFBO, and ODS. Methods A multicenter international retrospective cohort study was conducted on adults with MSFBs and ODS who underwent sinus surgery. First in MSFBs, it was determined whether different dental conditions were more likely in FB versus non‐FB sides. Second, clinical features and dental pathologies were compared between MSFBO and ODS. For analyses, dental conditions were considered individually and as two groups: infectious pathologies and dental/oral procedures with indwelling metallic materials. Results After exclusions, there were 203 MSFBs and 163 ODS. Among MSFBs, 141 were MSFBOs. FB sides were associated with sinus protrusion of root canal treatment (RCT) materials ( p = 0.040) and dental implants ( p = 0.040). Compared to MSFBO, ODS patients were younger, more likely to have MS purulence (OR = 40.9, p < 0.010), more likely associated with apical periodontitis (OR = 2.59, p = 0.010) and oroantral fistulas (OR = 6.94, p = 0.020), and less likely associated with extruded RCT materials (OR = 0.01, p = 0.010) and protruded midface screws (OR < 0.01, p = 0.010). Comparing purulent MSFBO and ODS, ODS was more associated with infectious dental pathologies ( p < 0.009). Conclusion Compared to MSFBs, MSFBOs were associated with RCT extrusion and implant protrusion. Compared to MSFBOs, ODS was more likely purulent and associated with infectious dental pathologies. While ODS is often distinct from MSFBO, the two conditions can coexist, and surgeons must determine whether patients have infectious dental pathology requiring treatment with both conditions. Level of Evidence 4.

Abstract Background In randomized clinical trials (RCTs), anticipating control arm outcomes is important for power calculations and enrollment goals. Unexpected overperformance of the control arm can underpower RCTs. The objective of this study was to estimate the prevalence of control arm overperformance in phase 3 oncology RCTs. Methods The authors conducted a meta‐epidemiological study of two‐arm, superiority‐design, phase 3 oncology RCTs. They reviewed articles/publications and protocols for power calculations, justification, and outcomes. Control arm performance was measured as the ratio of observed control arm outcomes relative to pretrial estimates, and overperformance was defined as a 10% improvement. Results In total, 385 RCTs met inclusion criteria. The primary end point was overall survival (OS) in 134 RCTs (35%). Of 311 RCTs (81%) that provided a pretrial estimate for control arm performance, 138 RCTs (44%) cited a justification for the estimate. Greater than expected control arm performance was associated with lower odds of meeting the primary end point (adjusted odds ratio, 0.989; 95% confidence interval, 0.981–0.998; p = 0.015). Of 244 RCTs that were evaluable for control arm performance, 104 (43%) exhibited overperformance. RCTs that used OS as a primary end point were more likely to exhibit control arm overperformance compared with RCTs that used other primary end points (56% vs. 33%; adjusted odds ratio, 2.43; 95% confidence interval, 1.42–4.15; p = .001). Conclusions Control arm overperformance is common in phase 3 oncology RCTs and is associated with trial outcomes, suggesting an effect on study power. Because overperformance appears to be especially prevalent when OS is the primary end point, the effects of postprogression therapies on OS may be underappreciated. Alternative strategies for designing trials should be considered for reliable estimation of treatment effects.

Abstract Aims Artificial intelligence electrocardiography (AI-ECG) algorithms are emerging tools for identifying individuals at risk of atrial fibrillation (AF). We evaluated the predictive performance of a validated AI-ECG algorithm for incident AF in UK Biobank participants with AF risk factors, irrespective of prevalent cardiovascular disease, and its incremental value when added to clinical predictors. Methods and results The AI-ECG tool was applied to sinus rhythm ECGs from UK-Biobank participants with risk factors for AF but no AF. Model performance was evaluated using time-dependent ROC-AUC and Harrell’s C-index. Multivariable Cox regression was used to identify clinical risk factors associated with incident AF and to quantify the contribution of AI-ECG. A total of 21 842 participants (56% male) were included. The median follow-up time was 3.7 years (IQR 0.5–5.4) The ECG-AI tool achieved a ROC-AUC of 0.73 (95% CI 0.68–0.78) at 1 and 0.69 (95% CI 0.66–0.72) at 3 years. A multivariable Cox regression model using clinical parameters achieved a ROC-AUC of 0.71 (95% CI 0.66–0.75) at 1 and 0.71 (95% CI 0.68–0.74) at 3 years. By adding ECG-AI to the clinical Cox regression model, the ROC-AUC increased to 0.75 (95%CI 0.71–0.80) at 1 and 0.74 (95% CI 0.71–0.77) at 3 years. AI-ECG showed a hazard ratio of 1.23 per decile increase (95% CI 1.18–1.27). Conclusion An AI-ECG algorithm improved the prediction of incident AF when added to a clinical parameter-based model over a median follow-up time of 3.7 years among individuals with comorbidities predisposing to AF who may benefit from targeted screening and preventive strategies.

ABSTRACT Background Sentinel lymph node (SLN) biopsy is a critical staging tool in skin and soft tissue cancers. Although technetium lymphoscintigraphy is the most common adjunct, indocyanine green (ICG) demonstrates a promising alternative in pediatric, adolescent, and young adult (AYA) skin and soft tissue cancers. Methods and Objectives Evaluate the safety and efficacy of ICG in SLN biopsy (SLNB) in diverse pediatric and AYA solid cancers in a multi‐institutional environment. This is a prospective, observational study conducted at 13 member institutions in the Pediatric Surgical Oncology Research Collaborative between 2019 and 2023. Eligible patients underwent SLNB for primary or recurrent solid skin and soft tissue tumors. Peritumoral ICG was administered intraoperatively. Outcomes included SLN detection rates, histopathology of excised specimens, and surgeon‐reported assessment of utility. Safety was assessed through adverse event reporting. Results Forty SLNB procedures yielded 84 specimens: 13 melanoma (32.5%), 12 squamous cell carcinoma (30%), 11 non‐rhabdomyosarcoma soft tissue sarcoma (27.5%), two rhabdomyosarcoma (5%), one Ewing sarcoma (2.5%), and one malignant peripheral nerve sheath tumor (2.5%). Histologic evaluation identified 81 lymph nodes, 75 benign (89.3%) and six malignant (7.1%); three specimens were adipose tissue (3.6%). Of 81 lymph nodes, 76% were ICG‐positive. ICG had a sensitivity of 79.5%, a specificity of 33%, and a positive predictive value of 96%. All malignant nodes were ICG‐avid. There were no adverse reactions to ICG at 30 days. Conclusions ICG is a safe and effective adjunct for SLNB in pediatric and AYA soft tissue and skin malignancies.