Citations

Abstract Purpose Bibliometric indicators are widely used to evaluate faculty productivity, yet these metrics change with career stage, evolving authorship practices, and technological shifts in how science is produced. This study examines patterns of scholarly output among radiation therapy medical physics faculty at leading cancer centers and provides a framework and quantitative metrics for managing career age‐ and era‐based effects. Methods Peer‐reviewed articles (1969–2025) were collected from Scopus for 397 Ph.D. medical physics faculty at the 20 U.S. cancer centers most highly ranked by US News and World Report in 2025. The bibliometric measures included annual rates of authorships (), first/last authorships (), monograph‐equivalents (), as well as the cumulative h‐index and contribution‐normalized ha‐index. Career age was defined by year of first publication. Productivity distributions were evaluated by career age using empirical cumulative distribution functions derived from 2016–2025 data. Era‐dependent fluctuations (1990–2025) were examined using age‐normalized metrics and trends in authorship team size. Tabulated bibliometrics as a function of career age are provided for evaluation of individual performance. Results Productivity increased substantially with career age, peaking in late career. Senior faculty produced approximately two‐fold higher annual output than early‐career peers. At career ages of 1, 10, 20, 30, and 40 years, the median bibliometric rates were = (1.2, 1.6, 2.5, 2.5,1.8) year −1 , = (0.4, 0.4, 0.5, 0.5,0.2) year −1 , = (0.2, 0.2, 0.3, 0.3,0.3) year −1 , h‐index = (0, 7, 15, 23,43), and ha‐index = (0, 3.3, 6.0, 9.4,15.0). Era‐based effects were substantial. Between 1990 and 2025, median authors per paper increased from 4 to 10, inflating authorship‐based metrics. In contrast, contribution‐weighted measures (FL, ME, ha‐index) demonstrated greater temporal stability. Conclusions Scholarly productivity in radiation therapy medical physics is strongly dependent on career age, with peak output occurring near the end of a typical career before declining modestly near retirement. Career‐age‐based percentile benchmarks provide a more balanced framework for evaluating academic performance than unadjusted bibliometric comparisons, especially for early‐career investigators. Due to changes in authorship norms over time, first/last authorships, monograph equivalents, and ha‐index may provide more accurate and equitable assessments of research performance than authorships or h‐index.

Abstract INTRODUCTION Cognitive characterization is increasingly important for Alzheimer’s disease treatment decisions, highlighting the need for scalable cognitive assessment. We evaluated the diagnostic accuracy of a remote self-administered cognitive screening battery, Mayo Test Drive (MTD), across clinically and biologically defined groups. METHODS In this prospectively designed study, 2,131 cognitively unimpaired (CU) and 118 cognitively impaired participants, including 96 with mild cognitive impairment and 22 with mild dementia (MCI/DEM), were recruited from observational cohort studies and completed MTD remotely (mean age=70 years, SD=12; 48% male; mean education=16 years, SD=2). Clinical diagnoses were determined by multidisciplinary consensus independently of MTD. Amyloid- and tau-PET were available for 1,224 participants. Logistic regression estimated associations between MTD and CU versus MCI/DEM, CU A-versus MCI/DEM A+, and A-T-versus A+T+. MTD diagnostic accuracy was compared with person-administered cognitive measures. Sensitivity and specificity across score types and comparison groups were examined. RESULTS MTD showed excellent discrimination of CU versus MCI/DEM (AUC=.89; 95% CI=.87-.92), and discriminability remained high for CU versus MCI (AUC=.88; 95% CI=.85-.92). Discriminability was highest when comparing CU A- and MCI/DEM A+ groups (AUC=.95; 95% CI=.92-.97). MTD outperformed estimated MMSE (p=.02) and was comparable to Mayo-PACC (p=.71) for A-T-versus A+T+ discrimination (AUC=.76; 95% CI=.71-.81). Combining both raw score and normative score cutoffs helped balance sensitivity and specificity relative to use of either cutoff in isolation. A two-stage interpretation framework further improved sensitivity while maintaining clinically useful specificity and informed development of an interpretation guide. DISCUSSION A remote self-administered digital cognitive assessment showed strong diagnostic accuracy for detecting MCI and mild dementia in a large, primarily population-based cohort. The remote, self-administered MTD composite also showed comparable performance to established in-person cognitive composites for differentiating amyloid and tau-defined biomarker groups. Remote self-administered digital cognitive assessment may complement existing cognitive evaluation approaches and support scalable cognitive characterization. Highlights Remote self-administered cognitive assessment showed strong differentiation of cognitively unimpaired and cognitively impaired participants. Diagnostic accuracy improved when amyloid PET biomarker status was incorporated. Remote assessment demonstrated sensitivity to amyloid and tau PET-defined Alzheimer’s disease. Performance was comparable to established in-person composites and better than an in-person mental status screening measure. Digital cognitive screening may support scalable treatment and clinical trial workflows.

ABSTRACT Background Cytomegalovirus (CMV) infection is among the most common infections after solid organ transplantation and leads to high rates of morbidity and mortality. With the proliferation of large, claims‐based datasets, there is a need to assess the validity of ICD‐10‐CM codes in identifying CMV infection. Methods We conducted a retrospective cohort study of solid organ transplant recipients (SOTRs) from a regional health system who underwent first transplantation between January 1, 2016, and June 30, 2025, had at least 30 days of post‐transplant follow‐up, and had known donor/recipient CMV serostatus. We performed cross‐sectional and time‐to‐event analyses comparing the test performance of B25 ICD‐10‐CM codes in identifying CMV infection, clinically significant CMV infection (csCMVi), CMV disease, and CMV DNA reaching various thresholds. Results Of 8169 SOTRs, 3084 (37.8%) had B25 coded during follow‐up. In addition, 4287 (52.5%) developed CMV infection, 2356 (28.8%) csCMVi, 297 (3.6%) CMV disease, and 1669 (20.4%) CMV DNA ≥ 1000 IU/mL. B25 codes were most specific to any CMV infection (88.5%), most sensitive to CMV DNA ≥ 100 000 IU/mL (98.2%), and csCMVi had the highest Youden's Index (0.651; sensitivity 84.1%, specificity 81.0%). Multivariable Cox regression provided similar results but with variations in effect measure between ICD‐10‐CM codes and clinical CMV definitions. Conclusions ICD‐10‐CM codes showed modest performance in identifying CMV infection, most closely resembling csCMVi. ICD‐10‐CM codes poorly reflect CMV severity, however, and may overestimate CMV infection by some clinical definitions. These limitations should be considered when using CMV diagnosis codes for claims‐based studies of SOTRs.

Purpose: Frontotemporal lobar degeneration (FTLD) is the neuropathology that underlies a collection of progressive clinical syndromes typically classified by the initial/primary symptom. For example, individuals with loss of word meaning as a first manifestation are often diagnosed with the semantic variant of primary progressive aphasia. Growing evidence suggests that language and communication can be impacted in all clinical syndromes across the FTLD spectrum, but the functional relevance of these symptoms has yet to be explored. Method: The Frontotemporal Degeneration (FTD) Insights Survey is the largest community survey of individuals affected by FTLD. It was administered online and included questions related to demographics, symptoms, life participation, quality of life, and experiences with and hopes for treatment. Self-reported diagnoses of respondents included the nonfluent/agrammatic, semantic, and unspecified variants of primary progressive aphasia, semantic dementia, corticobasal syndrome, progressive supranuclear palsy, and behavioral variant FTD. Here, we grouped respondents according to whether they had a language-predominant ( n = 43), motor-predominant ( n = 43), or behavior-predominant ( n = 90) variant of FTLD and used descriptive statistics to explore how they perceive their own communication difficulties and gauge their motivation for management. Results: Over 65% of respondents in each group identified changes to communication as a symptom; subsequent analyses focused on the responses of this cohort. Across groups, word finding and speaking were two of the most frequently endorsed difficulties. Over 50% of each group identified improved communication as a treatment priority, reflecting the impact that these symptoms have on their day-to-day life. Speech-language therapy is an important approach to manage these changes and minimize their impact. Whereas 76% of the language and motor groups had attended speech-language therapy, this was true for only 16% of the behavior group. Conclusions: Individuals across the FTLD spectrum experience changes to communication that impact their social engagement and quality of life. Management needs to be tailored to the needs of each individual, but recommendations are provided based on the insights and group-level preferences reported here. Future research is needed to identify current referral practices and how to increase engagement in skilled communication interventions, especially for individuals with the behavioral variant of FTD. Supplemental Material: https://doi.org/10.23641/asha.33940597

Background/Objectives: A 12-week trial demonstrated that phenotype-tailored lifestyle intervention (PLI) was associated with greater weight loss than standard lifestyle intervention (SLI); however, differences in dietary patterns between groups were not examined. Methods: This secondary analysis evaluated caloric and macronutrient intake at 12 weeks in adults with obesity (BMI ≥ 30 kg/m2), classified into four energy-balance phenotypes (abnormal satiation, reduced postprandial satiety, low energy expenditure, emotional eating) (n = 77) who underwent PLI or SLI. Dietary intake was assessed by 24-h recalls and verified by a blinded registered dietitian. Results: Groups were compared at 12 weeks adjusting for baseline values. PLI was associated with lower total energy intake than SLI (1273 ± 182 vs. 1894 ± 176 kcal/day; p = 0.018), due to lower carbohydrate (464 ± 76 vs. 818 ± 73 kcal/day; p = 0.002) and fat intake (479 ± 76 vs. 697 ± 73 kcal/day; p = 0.036); absolute protein intake did not differ. However, protein comprised a greater proportion of energy intake in PLI (26.8 ± 1.6%) than SLI (19.8 ± 1.5%; p = 0.003), and dairy protein contributed more to total energy in PLI (6.8 ± 0.8% vs. 3.7 ± 0.7%; p = 0.004). Conclusions: PLI was associated with lower energy intake, mainly due to reduced carbohydrate and fat intake, and a higher relative contribution of protein, consistent with phenotype-based recommendations rather than macronutrient prescriptions. These findings suggest a potential role for personalized dietary approaches in obesity management. However, the non-randomized design does not allow causal inferences.