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Despite ethical and historical arguments for removing race from clinical algorithms, the consequences of removal remain unclear. Here, we highlight a largely undiscussed consideration in this debate: varying data quality of input features across race groups. For example, family history of cancer is an essential predictor in cancer risk prediction algorithms but is less reliably documented for Black participants and may therefore be less predictive of cancer outcomes. Using data from the Southern Community Cohort Study, we assessed whether race adjustments could allow risk prediction models to capture varying data quality by race, focusing on colorectal cancer risk prediction. We analyzed 77,836 adults with no history of colorectal cancer at baseline. The predictive value of self-reported family history was greater for White participants than for Black participants. We compared two cancer risk prediction algorithms-a race-blind algorithm which included standard colorectal cancer risk factors but not race, and a race-adjusted algorithm which additionally included race. Relative to the race-blind algorithm, the race-adjusted algorithm improved predictive performance, as measured by goodness of fit in a likelihood ratio test (P-value:

Single-case design (SCD) is a quantitative experimental technique in which participants serve as their own control. The use of an effect size in SCD allows evaluation of outcomes as well as comparison of outcomes via meta-analyses. Characteristics of SCD research make the selection of an appropriate effect size complicated. Additionally, there are a number of factors that complicate the use of SCDs as a means to improve academic skills. The purpose of this study was to examine patterns by which SCD effect sizes are used to quantify outcomes from academic interventions. To do so, a descriptive analysis of an extant database of SCD studies was conducted. The authors created frequency tables for each effect size identified in the database as well as graphs to show the extent to which the use of effect sizes changed over time. The authors also determined whether the most frequently used effect sizes were appropriate for summarizing changes in academic outcomes. Although many effect sizes have been developed, only a small number are routinely used in SCD research for academic skills. The most frequently used effect sizes were those that come from standardized statistics, compared with those that utilized principles of regression or Bayesian analysis.

Abstract Background During the coronavirus disease 2019 (COVID-19) pandemic, inpatient nurses faced various work stressors. Little is known about organizational interventions that can mitigate the negative consequences of pandemic-related stressors. Objective The aim was to provide a synopsis of the literature concerning the types and outcomes of organizational interventions performed during the COVID-19 pandemic that directly (re)organized the work structures of inpatient nurses to address pandemic-related work stressors or to increase nurses’ ability to cope. Methods Within this preregistered systematic literature review, we searched four databases (PubMed, PsycINFO, PsycARTICLES, CINAHL) and two preprint databases (MedRxiv, PsyArXiv) for interventional studies of organizational interventions published between 01/2020 and 03/2023 (k = 990 records). We included 12 primary studies after title-abstract and full-text screening. A synthesis of results without meta-analysis was conducted. Risk of bias was assessed with the Cochrane risk-of-bias tool for randomized trials – version 2 (RoB-2) and Risk Of Bias In Non-randomized Studies - of Interventions (ROBINS-I) tool. Results All interventions were implemented in hospitals. The reasons given for implementation included pandemic-related work stressors such as a high workload, understaffing, and a lack of medical resources. To respond to the various work stressors, half of the studies took a multilevel approach combining organizational and person-oriented interventions (k = 6). Most studies (k = 8) took a secondary prevention approach, focusing on the organization of rest breaks (k = 5). With respect to outcomes, the studies examined nurse-related stress and resilience, turnover intention, job satisfaction, and other factors. Risk-of-bias analyses revealed that conclusions about the effectiveness of the interventions are limited due to confounding factors and self-selection. Conclusions The identified interventions provide a basis for future research to draw conclusions on the effectiveness of organizational interventions during pandemics. The promotion of adequate work breaks could be useful if the work stressors associated with strain and negative consequences cannot be changed directly. However, the same stressors (e.g., high workload) can hinder nurses from participating in offered interventions. This emphasizes the importance of directly addressing inpatient nurses’ work stressors. Registration Prospero-ID CRD42023364807 (March 2023).

Abstract Background Since skin cancer incidence and prevalence are rising steadily, the prevention of skin cancer has gained importance. People with high sun exposure at work are at special risk, and prevention measures by the employer may lower the risk, especially for keratinocyte carcinoma. Objectives The aim of the study was to evaluate the results of a large‐scale skin cancer screening campaign at the city drainage company Munich where the cohort consisted mainly of outdoor workers. Methods In 2023, a skin cancer screening campaign was conducted at the city drainage company Munich. Sun exposure and protection measures of each participant were assessed using a questionnaire. Dermatologists identified clinical signs for sun damage and skin cancer by whole‐body skin examination. Results A total of 290 participants (72.8% male; mean age 43.7 ± 11.5 years) were enroled. 36.6% showed clinical signs of sun damage correlating with male gender, higher age, and more hours spent outdoors per day. Clinical examination revealed a suspect finding of skin cancer, a preliminary stage, or a lesion requiring clinical control to avoid skin cancer development in 19.3% of participants. Participants with atypical melanocytic lesions were mostly female and showed a high skin cancer awareness. This was concluded from the fewer signs of sun damage, a higher percentage of previous screening participation, and more regular self‐examination. Conclusions Whole‐body examination for skin cancer screening at work is a valuable tool to encourage participation in this preventive measure. It may help identify people at risk either by clinical signs for sun damage or risk exposure which can be assessed with a simple questionnaire. Based on this result, the screening interval may be adopted individually.

The global burden of skin diseases affects over 3 billion individuals, posing important public health challenges worldwide, with profound impacts in both high-income and low-income and middle-income countries. These challenges are exacerbated by widespread disparities in access to dermatologic care and the prevalence of misinformation. This article, derived from the Skin and Digital Summit at the International Master Course on Aging Science critically evaluates how digital technologies such as artificial intelligence, teledermatology, and large language models can bridge these access gaps. It explores practical applications and case studies demonstrating the impact of these technologies in various settings, with a particular focus on adapting solutions to meet the diverse needs of low-income and middle-income countries. In addition, the narrative highlights the ongoing conversation within the dermatologic community about the role of digital advances in health care, emphasizing that this discussion is dynamic and the one that is continuously evolving. Dermatologists play an essential role in this transition, integrating digital tools into mainstream care to complement a patient-centered, culturally sensitive approach. The article advocates for a globally coordinated digital response that not only addresses current disparities in skin health care but also promotes equitable access to digital health resources, making dermatologic care more representative of all skin types and accessible worldwide.

Abstract This exploratory qualitative study aims to gain a people-centered understanding of the patient journey in axial spondyloarthritis (axSpA). Semi-structured interviews were conducted with 15 individuals diagnosed with axSpA, aged 18 years and older, who were purposively recruited from a rheumatologic practice in southern Germany. The interviews were carried out as web-based video calls between September and October 2021, audio-recorded, transcribed verbatim, and analyzed according to Kuckartz’s qualitative content analysis. Patient journey narratives encompassed both healthcare journeys and personal journeys. Healthcare journeys were characterized as fragmented and difficult to navigate, with diagnosis often marking a turning point toward more coordinated care. Post-diagnosis, new challenges emerged (e.g., time management for treatment). Personal journeys comprised perceptions of axSpA in social contexts (e.g., stigmatization) and the continuous interplay of comorbidities and biographical events with healthcare related to axSpA. This study proposes a people-centered perspective on the patient journey in axSpA, emphasizing the interplay of biographies, comorbidities, and social context with healthcare events. Recognizing these personal factors in clinical practice is encouraged to address complex health needs and tailor treatment to each individual. Further efforts should promote collaboration between medical disciplines and integrate healthcare and social support at all stages of the axSpA patient journey.

Abstract Web search data are associated with disease incidence, population interest, and seasonal variations. This study aimed to investigate seasonal and geographical variations of web search data for sarcoidosis and to explore its association with external factors and sarcoidosis incidence in Sweden. Therefore, sarcoidosis-related data from Google Ads Keyword Planer (2017–2020) were generated for Sweden according to its 21 counties. The relationship between search volume and season, region, population demographics, environmental factors, and the sarcoidosis incidence listed in the National Patient Register was assessed. Analyses revealed seasonal variations for Sweden with an overall peak in the spring and autumn. Geographical differences were observed, with a higher search volume for north-western counties and the lowest search volume for Stockholm County. At the country level, the search volume was positively associated with the sarcoidosis incidence. Higher male proportion and older mean age were associated with a higher search volume, while a higher proportion of foreign-born residents, humidity, and mean temperature were associated with a lower search volume. Our analyses detected correlations between web search data, sarcoidosis incidence, and external factors. Analyses of sarcoidosis web search data therefore appear to be a valuable approach to disease surveillance to address medical needs and public interest.

Silje Zink,1,2 Ingvild Kjeken,1,2 Marte Feiring1,2 1Diakonhjemmet Hospital, REMEDY Center for Treatment of Rheumatic and Musculoskeletal Diseases, Health Service Research and Innovation Unit, Oslo, Norway; 2Faculty of Health Sciences, Department of Rehabilitation Science and Health Technology, Oslo Metropolitan University, Oslo, NorwayCorrespondence: Silje Zink, Diakonhjemmet Hospital, REMEDY Center for Treatment of Rheumatic and Musculoskeletal Diseases, Health Service Research and Innovation Unit, Postboks 23 Vinderen, Oslo, 0319, Norway, Email silje.zink@diakonsyk.noPurpose: The pressure on professionals within the healthcare workforce is increasing due to staffing shortages, economic demands and changing care models. Through boundary work theories, our study explores how task-shifting in hand osteoarthritis (OA) care impacts the professional boundaries and division of labor between rheumatologists and occupational therapists (OTs) in Norwegian specialist healthcare.Methodology: Seventeen semi-structured qualitative interviews were conducted at two hospitals in Norway. Participants included ten rheumatologists and five OTs. Data were analyzed using reflexive thematic analysis.Results: The analysis resulted in three themes (1) Forms of responsibility and task transfers, (2) Circumventing the rules to ensure efficient practices and appropriate patient care, (3) Broadening and specializing; movement of professional demarcations. Overall, we found that medical tasks in hand OA care are increasingly delegated to, and adopted by, OTs, blurring the rheumatologist-OT boundary. Some of the task delegations skirted Norwegian legal boundaries, in efforts to streamline clinic operations. OTs expanded their scope of practice by adopting new tasks, whereas rheumatologist increased their specialist status by shedding unwanted tasks.Conclusion: Task shifting between rheumatologists and OTs in hand OA care was characterized by boundary blurring activities. The results support a shift in hand OA management from rheumatologists to OTs.Keywords: professional boundaries, boundary work, interprofessional collaboration, hand osteoarthritis

Abstract Background Peptide receptor radionuclide therapy (PRRT) uses [177Lu]Lu-[DOTA0-Tyr3]octreotate ([177Lu]Lu-DOTA-TATE) to treat patients with neuroendocrine tumours (NETs) overexpressing the somatostatin receptor 2A (SSTR2A). It has shown significant short-term improvements in survival and symptom alleviation, but there remains room for improvement. Here, we investigated whether combining [177Lu]Lu-DOTA-TATE with chemotherapeutics enhanced the in vitro therapeutic efficacy of [177Lu]Lu-DOTA-TATE. Results Transfected human osteosarcoma (U2OS + SSTR2A, high SSTR2A expression) and pancreatic NET (BON1 + STTR2A, medium SSTR2A expression) cells were subjected to hydroxyurea, gemcitabine or triapine for 24 h at 37oC and 5% CO2. Cells were then recovered for 4 h prior to a 24-hour incubation with 0.7–1.03 MBq [177Lu]Lu-DOTA-TATE (25 nM) for uptake and metabolic viability studies. Incubation of U2OS + SSTR2A cells with hydroxyurea, gemcitabine, and triapine enhanced uptake of [177Lu]Lu-DOTA-TATE from 0.2 ± 0.1 in untreated cells to 0.4 ± 0.1, 1.1 ± 0.2, and 0.9 ± 0.2 Bq/cell in U2OS + SSTR2A cells, respectively. Cell viability post treatment with [177Lu]Lu-DOTA-TATE in cells pre-treated with chemotherapeutics was decreased compared to cells treated with [177Lu]Lu-DOTA-TATE monotherapy. For example, the viability of U2OS + SSTR2A cells incubated with [177Lu]Lu-DOTA-TATE decreased from 59.5 ± 22.3% to 18.8 ± 5.2% when pre-treated with hydroxyurea. Control conditions showed no reduced metabolic viability. Cells were also harvested to assess cell cycle progression, SSTR2A expression, and cell size by flow cytometry. Chemotherapeutics increased SSTR2A expression and cell size in U2OS + SSTR2A and BON1 + STTR2A cells. The S-phase sub-population of asynchronous U2OS + SSTR2A cell cultures was increased from 45.5 ± 3.3% to 84.8 ± 2.5%, 85.9 ± 1.9%, and 86.6 ± 2.2% when treated with hydroxyurea, gemcitabine, and triapine, respectively. Conclusions Hydroxyurea, gemcitabine and triapine all increased cell size, SSTR2A expression, and [177Lu]Lu-DOTA-TATE uptake, whilst reducing cell metabolic viability in U2OS + SSTR2A cells when compared to [177Lu]Lu-DOTA-TATE monotherapy. Further investigations could transform patient care and positively increase outcomes for patients treated with [177Lu]Lu-DOTA-TATE.

Abstract In recent years, the gauge group U 1 L μ − L τ $$ \textrm{U}{(1)}_{L_{\mu }-{L}_{\tau }} $$ has received a lot of attention since it can, in principle, account for the observed excess in the anomalous muon magnetic moment (g − 2) μ , as well as the Hubble tension. Due to unavoidable, loop-induced kinetic mixing with the SM photon and Z, the U 1 L μ − L τ $$ \textrm{U}{(1)}_{L_{\mu }-{L}_{\tau }} $$ gauge boson A ′ can contribute to stellar cooling via decays into neutrinos. In this work, we perform for the first time an ab initio computation of the neutrino emissivities of white dwarf stars due to plasmon decay in a model of gauged U 1 L μ − L τ $$ \textrm{U}{(1)}_{L_{\mu }-{L}_{\tau }} $$ . A key result is that current observations of the early-stage white dwarf neutrino luminosity at the 30% level exclude previously allowed regions of the parameter space favoured by a simultaneous explanation of the (g – 2) μ and H 0 anomalies. In this work, we present the relevant white dwarf cooling limits over the entire A ′ mass range. In particular, we have performed a rigorous computation of the luminosities in the resonant regime, where the A ′ mass is comparable to the white dwarf plasma frequencies.

Abstract Mortality of patients hospitalized with COVID-19 has remained high during the consecutive SARS-CoV-2 pandemic waves. Early discrimination of patients at high mortality risk is crucial for optimal patient care. Symmetric (SDMA) and asymmetric dimethylarginine (ADMA) have been proposed as possible biomarkers to improve risk prediction of COVID-19 patients. We measured SDMA, ADMA, and other L-arginine-related metabolites in 180 patients admitted with COVID-19 in four German university hospitals as compared to 127 healthy controls. Patients were treated according to accepted clinical guidelines and followed-up until death or hospital discharge. Classical inflammatory markers (leukocytes, CRP, PCT), renal function (eGFR), and clinical scores (SOFA) were taken from hospital records. In a small subgroup of 23 COVID-19 patients, sequential blood samples were available and analyzed for biomarker trends over time until 14 days after admission. Patients had significantly elevated SDMA, ADMA, and L-ornithine and lower L-citrulline concentrations than controls. Within COVID-19 patients, SDMA and ADMA were significantly higher in non-survivors (n = 41, 22.8%) than in survivors. In ROC analysis, the optimal cut-off to discriminate non-survivors from survivors was 0.579 µmol/L for SDMA and 0.599 µmol/L for ADMA (both p

Abstract Cornaux/Les Sauges (Switzerland, Late Iron Age) revealed remnants of a wooden bridge, artifacts, and human and animal skeletal remains. The relationship between the collapsed structure and the skeletal material, whether it indicates a potential accident or cultural practices, remains elusive. We evaluate the most plausible scenario for Cornaux based on osteological, taphonomic, isotopic, and paleogenomic analysis of the recovered individuals. The latter amount to at least 20 individuals, mostly adult males. Perimortem lesions include only blunt force traumas. Radiocarbon data fall between the 3rd and 1st c. BCE, although in some cases predating available dendrochronological estimates from the bridge. Isotopic data highlight five to eight nonlocals. No close genetic relatedness links the analyzed skeletons. Paleogenomic results, the first for Iron Age Switzerland, point to a genetic affinity with other Central and Western European Iron Age groups. The type of skeletal lesions supports an accidental event as the more plausible explanation. Radiocarbon data and the demographic structure of the sample may suggest a sequence of different events possibly including executions and/or sacrifices. Isotopic and paleogenomic data, while not favoring one scenario over the other, do support earlier interpretations of the last centuries BCE in Europe as a dynamic period from a biocultural perspective.

Abstract Background Systematically screening published literature to determine the relevant publications to synthesize in a review is a time-consuming and difficult task. Large language models (LLMs) are an emerging technology with promising capabilities for the automation of language-related tasks that may be useful for such a purpose. Methods LLMs were used as part of an automated system to evaluate the relevance of publications to a certain topic based on defined criteria and based on the title and abstract of each publication. A Python script was created to generate structured prompts consisting of text strings for instruction, title, abstract, and relevant criteria to be provided to an LLM. The relevance of a publication was evaluated by the LLM on a Likert scale (low relevance to high relevance). By specifying a threshold, different classifiers for inclusion/exclusion of publications could then be defined. The approach was used with four different openly available LLMs on ten published data sets of biomedical literature reviews and on a newly human-created data set for a hypothetical new systematic literature review. Results The performance of the classifiers varied depending on the LLM being used and on the data set analyzed. Regarding sensitivity/specificity, the classifiers yielded 94.48%/31.78% for the FlanT5 model, 97.58%/19.12% for the OpenHermes-NeuralChat model, 81.93%/75.19% for the Mixtral model and 97.58%/38.34% for the Platypus 2 model on the ten published data sets. The same classifiers yielded 100% sensitivity at a specificity of 12.58%, 4.54%, 62.47%, and 24.74% on the newly created data set. Changing the standard settings of the approach (minor adaption of instruction prompt and/or changing the range of the Likert scale from 1–5 to 1–10) had a considerable impact on the performance. Conclusions LLMs can be used to evaluate the relevance of scientific publications to a certain review topic and classifiers based on such an approach show some promising results. To date, little is known about how well such systems would perform if used prospectively when conducting systematic literature reviews and what further implications this might have. However, it is likely that in the future researchers will increasingly use LLMs for evaluating and classifying scientific publications.

Protein kinase C-iota (PKC-ι) is an oncogene overexpressed in many cancer cells including prostate, breast, ovarian, melanoma, and glioma cells. Previous in vitro studies have shown that 5-amino-1-((1R,2S,3R,4R)-2-3-dihydroxy-4-(hydroxymethyl)cyclopentyl)-1H-imidazole-4-carboxamide (ICA-1S), a PKC-ι-specific inhibitor, has low toxicity in both acute and sub-acute mouse model toxicological testing and is an effective therapeutic against several cancer cell lines showing significant reductions in tumor growth when treating athymic nude mice with xenografted carcinoma cell lines. To further assess ICA-1S as a possible therapeutic agent, chronic mouse model toxicological testing was performed in vivo to provide inferences concerning the long-term effects and possible health hazards from repeated exposure over a substantial part of the animal’s lifespan. Subjects survived well after 30, 60, and 90 days of doses ranging from 50 mg/kg to 100 mg/kg. Heart, liver, kidney, and brain tissues were then analyzed for accumulations of ICA-1S including the measured assessment of aspartate transaminase (AST), alkaline phosphatase (ALK-P), gamma-glutamyl transferase (GGT), troponin, and C-reactive protein (CRP) serum levels to assess organ function. Predictive in vitro/in silico methods were used to predict compound-induced direct hepatocyte toxicity or renal proximal tubular cell (PTC) toxicity in humans based on the high-content imaging (HCI) of compound-treated cells in combination with phenotypic profiling. In conclusion, ICA-1S shows low toxicity in both acute and chronic toxicology studies, and shows promise as a potential therapeutic.

Abstract Awareness is vital for cancer prevention. US studies show a strong link between web searches and cancer incidence. In Europe, the relationship remains unclear. This study characterizes regional and temporal relationships between cancer incidence and web searches and investigates the content of searches related to breast, cervical, colorectal, lung, prostate, and testicular cancer, brain tumors, and melanoma in Germany (July 2018–December 2019). Aggregate data from Google Ads Keyword Planner and national cancer registry data were analyzed. Spearman’s correlation coefficient (r S ) examined associations between cancer incidence and web search, repeated measures correlation (r rm ) assessed time trends and searches were qualitatively categorized. The frequency of malignancy-related web searches correlated with cancer incidence (r S = 0.88, P = 0.007), e.g., breast cancer had more queries than the lower-incidence cervical cancer. Seasonally, incidence and searches followed similar patterns, peaking in spring and fall, except for melanoma. Correlations between entity incidence and searches (0.037 ≤ r rm ≤ 0.208) varied regionally. Keywords mainly focused on diagnosis, symptoms, and general information, with variations between entities. In Germany, web searches correlated with regional and seasonal incidence, revealing differences between North/East and South/West. These insights may help improve prevention strategies by identifying regional needs and assessing impact of awareness campaigns.