Citations

Background: Rates of early-onset colorectal cancer (eoCRC), defined as disease diagnosed at <50 years of age, are increasing. The incidence and spectrum of somatic and pathogenic germline variants (PGV) in this population are not well understood. Methods: This cross-sectional study leveraged Tempus’ clinicogenomic database, including de-identified records of patients diagnosed with CRC between 2000–2022, to analyze and compare eoCRC and average-onset colorectal cancer (aoCRC, disease diagnosed ≥50 years of age) patients. The frequency and spectrum of somatic mutations and PGVs in patients with eoCRC and aoCRC were evaluated and compared. Results: Among 11,006 participants in this study, 57% were male, 76% were white, and 80% had stage 4 disease. Within the total cohort, 2379 had eoCRC and 8627 had aoCRC. Among patients with eoCRC, 4.2% had a tumor with high microsatellite instability and/or deficient mismatch repair (MSI-H/dMMR) and 6.8% with aoCRC had an MSI-H/dMMR tumor (p < 0.001). The most frequent somatic mutations involved TP53, APC, and KRAS, with the most significant difference in BRAF, which was more frequently mutated in aoCRC (9.8% vs. 4.7%, p < 0.0001). In total, 1413 (59.4%) eoCRC and 4898 (56.8%) aoCRC patients had matched normal specimen (blood or saliva) sequencing and a PGV was identified in 6.9% of eoCRC and 5.0% of aoCRC patients. Conclusions: Somatic and germline mutation profiles were similar for eoCRC and aoCRC patients and may not adequately explain differences in tumor behavior and age of disease onset.

Abstract Interpreting cancer clinical trial results often depends on addressing issues of multiplicity. When testing multiple hypotheses, unreliable findings can occur by chance due to the inflation of the type I error rate, the probability of mistakenly rejecting the null hypothesis when the null hypothesis is true. In this setting, researchers may often set the type I error rate (or the alpha level) low to limit false positive findings and the interpretation of a causal relationship where none exists. Conversely, overly conservative type I error control may result in declaring findings, that do not meet multiplicity-adjusted alpha levels, as false when they are actually true, reducing opportunities for new discovery. This presentation focuses on multiplicity adjustment in the context of clinical trials conducted within the NCI’s Community Oncology Research Program (NCORP). Because federally sponsored trials often require long-term participation from patients and represent a substantial investment by taxpayers, striking the right balance between optimizing what is learned from these trials, while avoiding false positive results, should be a priority.

Abstract The intracluster correlation coefficient (ICC) measures the correlation of observations within clusters and is a key parameter for power and sample size calculations for cluster randomized trials (CRTs). To facilitate the design of future CRTs within the National Cancer Institute Community Oncology Research Program (NCORP), all studies from the NCORP website were reviewed to identify completed CRTs. ICCs for primary and secondary outcomes (when available) were ascertained from these trials and summarized in this article as a resource for future trial development. Although ICCs are relatively small for many outcome cluster combinations, that is not always the case, so consideration should always be given to the specific outcome of interest, trial design, and type of cluster when estimating an ICC to facilitate trial development.

Abstract Cancer care delivery research trials conducted within the National Cancer Institute (NCI) Community Oncology Research Program (NCORP) routinely implement interventions at the practice or provider level, necessitating the use of cluster randomized controlled trials (cRCTs). The intervention delivery requires cluster-level randomization instead of participant-level, affecting sample size calculation and statistical analyses to incorporate correlation between participants within a practice. Practical challenges exist in the conduct of these cRCTs due to unique trial network infrastructures, including the possibility of unequal participant accrual totals and rates and staggered study initiation by clusters, potentially with differences between randomized arms. Execution of cRCT designs can be complex, ie, if some clusters do not accrue participants, unintended cluster-level crossover occurs, how best to identify appropriate cluster-level stratification, timing of randomization, and multilevel eligibility criteria considerations. This article shares lessons learned with potential mitigation strategies from 3 NCORP cRCTs.

Abstract INTRODUCTION Early‐onset and late‐onset Alzheimer's disease (EOAD and LOAD, respectively) have distinct clinical manifestations, with prior work based on small samples suggesting unique patterns of neurodegeneration. The current study performed a head‐to‐head comparison of cortical atrophy in EOAD and LOAD, using two large and well‐characterized cohorts (LEADS and ADNI). METHODS We analyzed brain structural magnetic resonance imaging (MRI) data acquired from 377 sporadic EOAD patients and 317 sporadicLOAD patients who were amyloid positive and had mild cognitive impairment (MCI) or mild dementia (i.e., early‐stage AD), along with cognitively unimpaired participants. RESULTS After controlling for the level of cognitive impairment, we found a double dissociation between AD clinical phenotype and localization/magnitude of atrophy, characterized by predominant neocortical involvement in EOAD and more focal anterior medial temporal involvement in LOAD. DISCUSSION Our findings point to the clinical utility of MRI‐based biomarkers of atrophy in differentiating between EOAD and LOAD, which may be useful for diagnosis, prognostication, and treatment. Highlights Early‐onset Alzheimer's disease (EOAD) and late‐onset AD (LOAD) patients showed distinct and overlapping cortical atrophy patterns. EOAD patients showed prominent atrophy in widespread neocortical regions. LOAD patients showed prominent atrophy in the anterior medial temporal lobe. Regional atrophy was correlated with the severity of global cognitive impairment. Results were comparable when the sample was stratified for mild cognitive impairment (MCI) and dementia.

AbstractNerve plexuses are complex networks of interwoven nerves in the peripheral nervous system. This article provides a comprehensive overview of the anatomy and function of the major nerve plexuses in the human body. The main spinal nerve plexuses—cervical, brachial, abdominal, lumbar, and sacral—are examined in detail, including their spinal origins, anatomical locations, and the areas they innervate. Understanding the intricate anatomy of nerve plexuses is essential for interventionalists, as it aids in the diagnosis and treatment of various neurological disorders affecting the peripheral nervous system.

ABSTRACTImportanceHighlighting the global disparities in otolaryngology training and, ultimately, service delivery, emphasizing the need for equitable access to training resources and programs.ObjectiveTo describe the relationship between the quality, content, and location of otolaryngology–head and neck surgery training and education and the resulting impact on the delivery of otolaryngology care globally.DesignAn online cross‐sectional survey to otolaryngologists, gathering information on their training and education experiences, and factors influencing their choice of training location and practice.SettingThe online survey was available in multiple languages, distributed via national and international professional otolaryngology societies, snowballing and social media.ParticipantsThe respondents were practicing otolaryngologists representing all seven World Health Organization regions.ExposuresWorld Bank income groups classification.Main Outcomes and MeasuresOur expected outcome was that subspecialty training and access to educational resources were significantly readily available to respondents from high‐income countries, leading to more confidence in performing complex procedures post training.ResultsA total of 91 participants were included in the analysis, with 47 (52%) practicing in high‐income countries and 44 (48%) in low‐ and middle‐income countries. Sixty‐one participants (67%) were male. Subspecialty training and access to educational resources were significantly less available in low‐ and middle‐income countries, leading to lower confidence among low‐ and middle‐income countries physicians in performing complex procedures. High‐income country respondents reported better access to diverse training resources and felt more prepared for a broader range of procedures.Conclusion and RelevanceSignificant disparities exist in OHNS training resources and subspecialty training opportunities between high‐ and low‐middle‐income countries. There is a critical need to integrate complementary training and educational modalities into local systems. Addressing the shortage of educational resources and promoting open‐access initiatives in low‐middle‐income countries are essential steps toward enhancing surgical education and improving global otolaryngology healthcare outcomes.

ABSTRACT Objective Availability of surgical equipment and access to essential clinical services remains an important barrier to surgical care delivery, particularly in low‐ and middle‐income countries (LMICs). This study aims to characterize the relative availability of essential equipment for otolaryngology‐head and neck surgery (OHNS) care across World Bank income groups. Methods We conducted a cross‐sectional survey on otolaryngologists' perceptions on the availability of surgical equipment and ancillary services in their respective practice settings per a 5‐point Likert scale ranging from never to always available. The study was disseminated online via professional societies, personal contacts, and social media. Eligible participants included otolaryngologists from 194 WHO‐recognized countries, which were grouped by World Bank income group classification and WHO region. Results The study involved 146 otolaryngologists, 69 (47%) from high‐income countries (HICs), and 77 (53%) from LMICs. LMIC respondents were predominantly from the African and South‐East Asian regions, which comprised 48% and 7.8% of all LMIC respondents, respectively. Results revealed significant differences in the availability of otologic, rhinologic, and endoscopic airway equipment between HICs and LMICs. Differences existed among commonly used equipment such as tympanomastoidectomy equipment and rigid bronchoscopy, to subspecialized equipment such as functional endoscopic sinus surgery equipment and cochlear implants ( p < 0.05 each). Conclusions The study highlighted key disparities in the availability of essential equipment for baseline OHNS care, especially for pediatric airway and otologic conditions. These results can be used to guide investment and advocacy efforts to improve specialty‐specific surgical infrastructure relative to the global burden of OHNS diseases in low‐resource settings. Level of Evidence 3

Guidelines for diagnosing pulmonary embolism (PE) start with a risk assessment using a pretest probability (PTP) tool, followed by D-dimer testing or computed tomography pulmonary angiography (CTPA) depending on risk. The project aimed to develop an electronic clinical quality measure (eCQM) to encourage broader use of a validated PTP scoring tool in emergency departments (EDs) to more accurately diagnose PE and to reduce unnecessary CTPAs. To identify a value set to accurately identify CTPA and abnormal D-dimer tests using standard classification systems and clinical vocabularies (ie, Current Procedural Terminology [CPT], Logical Observation Identifiers Names and Codes [LOINC], systematized nomenclature of medicine clinical terms [SNOMED CT]) across 3 academic United States health care systems. A comprehensive value set to identify CTPAs was selected, which contained 31 codes. Additionally, each health care system had unique, site-specific codes to more granularly identify CTPAs. Three health care systems representing 38 EDs from across the country submitted data from all ED encounters between September 12, 2022, and January 11, 2023. Imaging types were reviewed from each of the CPT codes and LOINC. The project evaluated whether a D-dimer was obtained using CPT and LOINC and whether the D-dimer result was elevated using SNOMED CT. The number of ED encounters, PTP use, and diagnosis of PE using different codes were determined. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value for selected codes were calculated. Over a 4-month study period, 270,214 encounters were included from 38 EDs. 11,794 ED encounters with CTPAs during the study period, using the site-specific codes were identified. The comprehensive value set had a PPV of 63.4%. Restricting the CTPA value set to CPT code 71275 or LOINC 88322-3 improved the PPV to 82% with 100% sensitivity and 99% specificity. The restricted value set captured the highest proportion of relevant site-specific codes. D-dimer values were identified using LOINC codes 48065-7 and 91556-1 at Site 1 and 48067-3 at Site 2. SNOMED CT codes were not used at any site to identify elevated D-dimer results. Different D-dimer tests with different normal ranges were used at each site, and only one site provided an abnormal flag for D-dimer results. Heterogeneity in the use of nationally standardized codes for labs and imaging tests limits the ability to measure and compare quality across health care organizations for CTPA and D-dimer results. Restricting the identification of CTPA to CPT Code 71275 or LOINC 88322-3 resulted in high sensitivity and specificity, but false positives remain. Additionally, coding for an abnormal D-dimer test result is not standardized across institutions. Therefore, the currently available value sets cannot be used to develop eCQMs whose aim is to evaluate whether CTPA is ordered appropriately based on the PTP risk level and laboratory testing.