Mental health from childhood to adolescence predicts excessive weight and body composition at 18 years.

OBJECTIVE: To investigate the association of mental health in childhood and adolescence with four outcomes at 18 years: ultra-processed food (UPF) consumption, body mass index (BMI), excessive weight (EW), and body composition, including fat mass (FM) and fat free mass (FFM) in kg, FM index (FMI) and FFM index (FFMI) in kg/m2. METHODS: Cohort study in which The Development and Well-Being Assessment (DAWBA) (6 and 11 years) and the MINI International Neuropsychiatric Interview (MINI) (18 years) provided information on internalizing (INT), externalizing (EXT) and any mental disorder (ANY). The exposure was classified in: "never", "at 6 and/or 11 years", "at 18 years only" and "at 6, 11, and 18 years". Linear and logistic regression were run. All analyses were stratified by sex. RESULTS: A total of 2722 participants were analyzed. At 18 years, female with EXT disorders at 6 and/or 11 years presented higher BMI (ß: 1.70; 0.18-3.23), FM (ß: 4.74; 1.42-8.06), and FMI (ß: 1.53; 0.28-2.79) than those who never had. The odds of EW at 18 years was also higher in females with EXT disorders at 6 and/or 11 years (OR: 3.39; 1.56-7.36) and at the three time points (OR: 7.08; 1.69-29.59). Males with EXT disorders at 6 and/or 11 years presented higher FM (ß: 4.45; 1.85-7.06) and FMI (ß: 1.47; 0.63-2.31). CONCLUSIONS: Among children and adolescents showing symptoms of EXT disorders, weight should be monitored carefully, thus ultimately contributing to reduce the burden of EW in adolescence.

United States newspaper and online media coverage of artificial intelligence and radiology from 1998 to 2023.

OBJECTIVE: To evaluate the frequency and content of media coverage pertaining to artificial intelligence (AI) and radiology in the United States from 1998 to 2023. METHODS: The ProQuest US Newsstream database was queried for print and online articles mentioning AI and radiology published between January 1, 1998, and March 30, 2023. A Boolean search using terms related to radiology and AI was used to retrieve full text and publication information. One of 9 readers with radiology expertise independently reviewed randomly assigned articles using a standardized scoring system. RESULTS: 379 articles met inclusion criteria, of which 290 were unique and 89 were syndicated articles. Most had a positive sentiment (74 %) towards AI, while negative sentiment was far less common (9 %). Frequency of positive sentiment was highest in articles with a focus on AI and radiology (86 %) and lowest in articles focusing on AI and non-medical topics (55 %). The net impact of AI on radiology was most commonly presented as positive (60 %). Benefits of AI were more frequently mentioned (76 %) than potential harms (46 %). Radiologists were interviewed or quoted in less than one-third of all articles. CONCLUSION: Portrayal of the impact of AI on radiology in US media coverage was mostly positive, and advantages of AI were more frequently discussed than potential risks. However, articles with a general non-medical focus were more likely to have a negative sentiment regarding the impact of AI on radiology than articles with a more specific focus on medicine and radiology. Radiologists were infrequently interviewed or quoted in media coverage.

Survey on the Patterns of Feeding Difficulties and Behaviors in Filipino Children with Autism Spectrum Disorder Seen in a Philippine Tertiary Hospital and the Impact of the COVID-19 Pandemic.

Objective: To describe patterns of feeding difficulties and behaviors of Filipino children diagnosed with Autism Spectrum Disorder (ASD). Methods: An electronic mealtime survey was administered to caregivers of 3- to 9-year-old children diagnosed with ASD in a Philippine tertiary government hospital. Descriptive statistics and correlation analyses between feeding difficulties measured as Mealtime Survey Score, sociodemographic data, and early feeding history were performed. The impact of the COVID-19 pandemic to these was analyzed through a binomial test. Results: All of the 115 study subjects reported at least one problematic feeding behavior, with picky eating being the most frequent (61.74%). Significantly, more feeding difficulties were observed among the children with reported early feeding difficulties during their 2nd and 3rd year of life. There were no documented statistically significant changes in feeding behaviors during the past six months of the COVID-19 pandemic. Conclusion: There is a high prevalence of feeding difficulties and problematic feeding behavior among Filipino children with ASD, however no significant changes to these during the past six months of the COVID-19 pandemic were documented. Present feeding difficulties and behaviors were associated with history of early feeding difficulties, highlighting the need to include feeding difficulties in screening tools, and early training programs and interventions for children with ASD.

Abdominal CT metrics in 17,646 patients reveal associations between myopenia, myosteatosis, and medical phenotypes: a phenome-wide association study.

BACKGROUND: Deep learning facilitates large-scale automated imaging evaluation of body composition. However, associations of body composition biomarkers with medical phenotypes have been underexplored. Phenome-wide association study (PheWAS) techniques search for medical phenotypes associated with biomarkers. A PheWAS integrating large-scale analysis of imaging biomarkers and electronic health record (EHR) data could discover previously unreported associations and validate expected associations. Here we use PheWAS methodology to determine the association of abdominal CT-based skeletal muscle metrics with medical phenotypes in a large North American cohort. METHODS: An automated deep learning pipeline was used to measure skeletal muscle index (SMI; biomarker of myopenia) and skeletal muscle density (SMD; biomarker of myosteatosis) from abdominal CT scans of adults between 2012 and 2018. A PheWAS was performed with logistic regression using patient sex and age as covariates to assess for associations between CT-derived muscle metrics and 611 common EHR-derived medical phenotypes. PheWAS P values were considered significant at a Bonferroni corrected threshold (α = 0.05/1222). FINDINGS: 17,646 adults (mean age, 56 years ± 19 [SD]; 57.5% women) were included. CT-derived SMI was significantly associated with 268 medical phenotypes; SMD with 340 medical phenotypes. Previously unreported associations with the highest magnitude of significance included higher SMI with decreased cardiac dysrhythmias (OR [95% CI], 0.59 [0.55-0.64]; P < 0.0001), decreased epilepsy (OR, 0.59 [0.50-0.70]; P < 0.0001), and increased elevated prostate-specific antigen (OR, 1.84 [1.47-2.31]; P < 0.0001), and higher SMD with decreased decubitus ulcers (OR, 0.36 [0.31-0.42]; P < 0.0001), sleep disorders (OR, 0.39 [0.32-0.47]; P < 0.0001), and osteomyelitis (OR, 0.43 [0.36-0.52]; P < 0.0001). INTERPRETATION: PheWAS methodology reveals previously unreported associations between CT-derived biomarkers of myopenia and myosteatosis and EHR medical phenotypes. The high-throughput PheWAS technique applied on a population scale can generate research hypotheses related to myopenia and myosteatosis and can be adapted to research possible associations of other imaging biomarkers with hundreds of EHR medical phenotypes. FUNDING: National Institutes of Health, Stanford AIMI-HAI pilot grant, Stanford Precision Health and Integrated Diagnostics, Stanford Cardiovascular Institute, Stanford Center for Digital Health, and Stanford Knight-Hennessy Scholars.

How much or how often? Examining the screening properties of the DSM cross-cutting symptom measure in a youth population-based sample.

BACKGROUND: The DSM Level 1 Cross-Cutting Symptom Measure (DSM-XC) allows for assessing multiple psychopathological domains. However, its capability to screen for mental disorders in a population-based sample and the impact of adverbial framings (intensity and frequency) on its performance are unknown. METHODS: The study was based on cross-sectional data from the 1993 Pelotas birth cohort in Brazil. Participants with completed DSM-XC and structured diagnostic interviews (n = 3578, aged 22, 53.6% females) were included. Sensitivity, specificity, positive (LR+), and negative (LR-) likelihood ratios for each of the 13 DSM-XC domains were estimated for detecting five internalizing disorders (bipolar, generalized anxiety, major depressive, post-traumatic stress, and social anxiety disorders) and three externalizing disorders (antisocial personality, attention-deficit/hyperactivity, and alcohol use disorders). Sensitivities and specificities >0.75, LR+ > 2 and LR- < 0.5 were considered meaningful. Values were calculated for the DSM-XC's original scoring and for adverbial framings. RESULTS: Several DSM-XC domains demonstrated meaningful screening properties. The anxiety domain exhibited acceptable sensitivity and LR- values for all internalizing disorders. The suicidal ideation, psychosis, memory, repetitive thoughts and behaviors, and dissociation domains displayed acceptable specificity for all disorders. Domains also yielded small but meaningful LR+ values for internalizing disorders. However, LR+ and LR- values were not generally meaningful for externalizing disorders. Frequency-framed questions improved screening properties. CONCLUSIONS: The DSM-XC domains showed transdiagnostic screening properties, providing small but meaningful changes in the likelihood of internalizing disorders in the community, which can be improved by asking frequency of symptoms compared to intensity. The DSM-XC is currently lacking meaningful domains for externalizing disorders.

Variation in ultra-processed food consumption from 6 to 15 years, body weight and body composition at 15 years of age at The Pelotas 2004 Birth Cohort.

BACKGROUND: The association of ultra-processed food (UPF) consumption with obesity and adipose tissue in children/adolescents remains poorly understood. OBJECTIVE: To assess the association of UPF consumption with excessive weight (EW-defined as BMI-for-age ≥+1 z-score) and body composition at 15 years. METHODS: In a birth cohort, daily UPF consumption was estimated by Food Frequency Questionnaires at 6 and 15 years. Those in the higher tercile of UPF consumption at both follow-ups were the 'always-high consumers'. Air-displacement plethysmography provided fat mass (FM-kg), fat-free mass (FFM-kg), %FM, %FFM, FM index (FMI-kg/m2 ) and FFM index (FFMI-kg/m2 ). Logistic regression and linear regression were used to estimate, respectively, odds ratios and beta coefficients. RESULTS: Amongst 1584 participants, almost one in every seven were always-high consumers. In crude analyses, there was no association between variation in UPF consumption and EW, and body fat parameters were lower in the always-high consumer group than amongst the always-low consumers, in both sexes. With adjustment for confounders, the odds ratio for EW was higher in the always-high consumer than amongst the always-low consumer group, and the direction of the associations with FM parameters was reversed: males from the always-high consumer group presented almost twice as high FM (10.5 vs. 18.6 kg; p < 0.001) and twice as high FMI (3.4 vs. 6.3 kg/m2 ; p < 0.001) than the always-low consumer group, and females from the always-high consumer group presented on average 32% more FM and FMI than the always-low consumer group. CONCLUSIONS: In crude and adjusted analyses there was a strong association between high UPF consumption from childhood to adolescence, EW and higher body fat parameters at 15 years, but its deleterious association with body adiposity was only uncovered after adjusting for confounders.

Evaluation of genomic factors and early childhood stimulation on intelligence in children from a Brazilian birth cohort: The primary role of independent factors.

BACKGROUND: Childhood cognitive abilities are a predictor of health outcomes and adult income potential. Identifying factors associated with childhood intelligence and their interactions is essential in behavioral research. We assessed the impact of genetic variants and early child stimulation (ECS) on child intelligence and examined their possible interaction as potential modifiers of IQ in a population-based longitudinal study. METHODS: Participants of the 2004 Pelotas Birth Cohort study (N = 4231) underwent intelligent quotient (IQ) by WISC-III assessment at 6 years of age. At 24 and 48-months, mothers answered five ECS marker questions, whose sum was used to create a score. The polygenic score for intelligence (IQ-PGS) was constructed from the GWAS-weighted estimate of cognition. Association was assessed using multiple linear regression models adjusted for maternal, family, and child confounding variables. To explore the possible influence of skin color and ethnoracial classification, the regression models were stratified according to the skin color variable, as a sensitivity analysis. RESULTS: In the adjusted analysis, IQ-PGS (ß = 0.79, 95% confidence interval [95% CI] 0.26;1.31) as well as ECS (ß = 2.34; 95% CI: 1.76;2.92) were associated with IQ in this sample. The association between IQ-PGS and IQ was significant only in the white Brazilian group in the sensitivity analysis. However, there was no interaction between IQ-PGS and ECS on IQ (p(IQ-PGS x ECS) = 0.46). CONCLUSIONS: ECS did not modify the impact of genetic potential on intellectual development during childhood, suggesting that genetic factors and ECS exert independent effects on the IQ levels of children.

Timely radiographic detection of developmental dysplasia of the hip in family medicine residents. Educative intervention.

BACKGROUND: Developmental dysplasia of the hip (DDH) is a complex clinical entity that is usually underdiagnosed, if not detected and managed early, will turn the affected individual into a disabled being, with negative social, economic and emotional effects. OBJECTIVE: To determine the capacity for the timely radiographic detection of DDH before and after an educational intervention. METHOD: An educational intervention is carried out in family medicine resident, where they are given training on detection in DDH radiographic projections. Pre- and post-training evaluation is carried out. Statistical analysis is performed using Student's t and χ2, taking p ≤ 0.05 as significant. RESULTS: 94 residents participated. In the pre-intervention evaluation, 87.2% had no knowledge of the early detection protocol (p = 0.525). It was observed that 98.9% incorrectly drew the Perkins line (p = 0.427), 96.8% the Hilgenreiner line (p = 0.177) and 87.2% did not consider the data of bilateral dysplasia (p = 0.956). After the educational intervention, 87.2% correctly drew the Perkins line (p = 0.926), 97.8% the Hilgenreiner line (p = 0.325) and 78.7% if they considered the data of bilateral dysplasia (p = 0.826). CONCLUSIONS: After this training, 80% of family medicine residents were able to detect DDH in a timely manner.

ANTECEDENTES: La displasia del desarrollo de la cadera (DDC) constituye una entidad clínica compleja que suele ser infradiagnosticada que, de no ser precozmente detectadas y manejadas, convertirán al individuo afectado en un ser discapacitado, con efecto negativo social, económico y emocional. OBJETIVO: Determinar la capacidad para la detección radiográfica oportuna de la DDC antes y después de una intervención educativa en médicos residentes de medicina familiar. MÉTODO: Se realizó una intervención educativa en residentes de medicina familiar, en la que se les dio capacitación sobre detección de DDC en proyecciones radiográficas. Se realizó una evaluación previa y posterior a la capacitación. El análisis estadístico se realizó mediante pruebas t de Student y χ2, tomando como significativo un valor de p ≤ 0.05. RESULTADOS: Participaron 94 residentes. El 87.2% dijeron no conocer el protocolo radiológico de detección. En la evaluación preintervención, el 87.2% no tenían conocimiento del protocolo (p = 0.525). Se observó que el 98.9% trazaron de manera incorrecta la línea de Perkins (p = 0.427), el 96.8% la línea de Hilgenreiner (p = 0.177) y el 87.2% no consideraron los datos de displasia bilateral (p = 0.956). Posterior a la intervención educativa, el 87.2% trazaron de manera correcta la línea de Perkins (p = 0.926), el 97.8% la línea de Hilgenreiner (p = 0.325) y el 78.7% sí consideró los datos de displasia bilateral (p = 0.826). CONCLUSIONES: Tras la capacitación, el 80% de los médicos residentes de medicina familiar fueron capaces de detectar oportunamente la DDC.

Physical Activity and Chronic Stress in Early Life: Findings From the 2015 Pelotas (Brazil) Birth Cohort.

BACKGROUND: The association of physical activity through early childhood on children's chronic stress still is unclear. Therefore, the aim of the present study is to test the association of physical activity through early childhood (1-4 y) with chronic stress, measured by hair cortisol at age 4. METHODS: Longitudinal study including children from the 2015 Pelotas (Brazil) Birth Cohort. Cortisol at age 4 was measured using a hair sample, which provided cortisol concentration from the past months. Physical activity was measured using accelerometers at 1, 2, and 4 years. Linear regression models were used to assess the association between physical activity and chronic stress. Trajectory models were also applied to examine chronic stress in relation to physical activity patterns throughout early childhood. RESULTS: Children with valid physical activity and hair cortisol data were included in the analyses (N = 1475). Three groups of physical activity trajectories between 1 and 4 years were identified: low, medium, and high. No association between physical activity at 1, 2, and 4 years and chronic stress at age 4 was observed. However, children in the "high" physical activity trajectory presented low cortisol concentration; the magnitude of the regression coefficient was slightly larger in girls (ß = -0.125; 95% confidence interval, -0.326 to 0.074) than boys (ß = -0.051; 95% confidence interval, -0.196 to 0.09). CONCLUSION: There was no clear association between physical activity and chronic stress in early childhood. Trajectories models suggest that higher activity throughout early childhood may positively impact chronic stress; however, more studies are needed to confirm that hypothesis.

Opening up mental health research.

Open science provides a compelling framework for accelerating global collaborations and enabling discoveries to understand and treat mental health disorders. Herein, we discuss the advantages and obstacles to adopting open science in mental health research, considering the particularities of sensitive and diverse data types, the potential of co-designing projects with research participants and the opportunity of amplifying open science by integration with mental health care. We present a practical example of how this landscape may be navigated to adopt open science across an entire research centre, in 5 steps, namely leadership committing to open science; finding models, resources and allies; identifying needs; defining open science principles; and putting principles into practice. We derive lessons learned that can be built upon by researchers and research organizations joining the open science movement in mental health.

Peroxisome biogenesis initiated by protein phase separation.

Peroxisomes are organelles that carry out ß-oxidation of fatty acids and amino acids. Both rare and prevalent diseases are caused by their dysfunction1. Among disease-causing variant genes are those required for protein transport into peroxisomes. The peroxisomal protein import machinery, which also shares similarities with chloroplasts2, is unique in transporting folded and large, up to 10 nm in diameter, protein complexes into peroxisomes3. Current models postulate a large pore formed by transmembrane proteins4; however, so far, no pore structure has been observed. In the budding yeast Saccharomyces cerevisiae, the minimum transport machinery includes the membrane proteins Pex13 and Pex14 and the cargo-protein-binding transport receptor, Pex5. Here we show that Pex13 undergoes liquid-liquid phase separation (LLPS) with Pex5-cargo. Intrinsically disordered regions in Pex13 and Pex5 resemble those found in nuclear pore complex proteins. Peroxisomal protein import depends on both the number and pattern of aromatic residues in these intrinsically disordered regions, consistent with their roles as 'stickers' in associative polymer models of LLPS5,6. Finally, imaging fluorescence cross-correlation spectroscopy shows that cargo import correlates with transient focusing of GFP-Pex13 and GFP-Pex14 on the peroxisome membrane. Pex13 and Pex14 form foci in distinct time frames, suggesting that they may form channels at different saturating concentrations of Pex5-cargo. Our findings lead us to suggest a model in which LLPS of Pex5-cargo with Pex13 and Pex14 results in transient protein transport channels7.

Cytogenotoxic evaluations of leaves and stems extracts of Rubus rosifolius in primary metabolically noncompetent cells.

Plants with medicinal potential may also produce adverse effects in humans. This seems to be the case for the species Rubus rosifolius, where preliminary studies demonstrated genotoxic effects attributed to extracts obtained from leaves and stems of this plant using on HepG2/C3A human hepatoma cells as a model. Considering the beneficial properties of this plant as an antidiarrheal, analgesic, antimicrobial, and antihypertensive and its effects in the treatment of gastrointestinal diseases, the present study was developed with the aim of determining the cytotoxic and genotoxic potential of extracts of leaves and stems of R. rosifolius in primary without metabolic competence in human peripheral blood mononuclear cells (PBMC). Cell viability analyses at concentrations of between 0.01 and 100 µg/ml of both extracts did not markedly affect cell viability. In contrast, assessment of the genotoxic potential using the comet assay demonstrated significant damage to DNA within PBMC from a concentration of 10 µg/ml in the stem extract, and a clastogenic/aneugenic response without cytokinesis-block proliferation index (CBPI) alterations at concentrations of 10, 20, or 100 µg/ml for both extracts. Under our experimental conditions, the data obtained demonstrated genotoxic and mutagenic effects attributed to extracts from leaves and stems of R. rosifolius in cells in the absence of hepatic metabolism.

Evaluating the Performance of a Commercially Available Artificial Intelligence Algorithm for Automated Detection of Pulmonary Embolism on Contrast-Enhanced Computed Tomography and Computed Tomography Pulmonary Angiography in Patients With Coronavirus Disease 2019.

Objective: To investigate the performance of a commercially available artificial intelligence (AI) algorithm for the detection of pulmonary embolism (PE) on contrast-enhanced computed tomography (CT) scans in patients hospitalized for coronavirus disease 2019 (COVID-19). Patients and Methods: Retrospective analysis was performed of all contrast-enhanced chest CT scans of patients admitted for COVID-19 between March 1, 2020 and December 31, 2021. Based on the original radiology reports, all PE-positive examinations were included (n=527). Using a reversed-flow single-gate diagnostic accuracy case-control model, a randomly selected cohort of PE-negative examinations (n=977) was included. Pulmonary parenchymal disease severity was assessed for all the included studies using a semiquantitative system, the total severity score. All included CT scans were sent for interpretation by the commercially available AI algorithm, Aidoc. Discrepancies between AI and original radiology reports were resolved by 3 blinded radiologists, who rendered a final determination of indeterminate, positive, or negative. Results: A total of 78 studies were found to be discrepant, of which 13 (16.6%) were deemed indeterminate by readers and were excluded. The sensitivity and specificity of AI were 93.2% (95% CI, 90.6%-95.2%) and 99.6% (95% CI, 98.9%-99.9%), respectively. The accuracy of AI for all total severity score groups (mild, moderate, and severe) was high (98.4%, 96.7%, and 97.2%, respectively). Artificial intelligence was more accurate in PE detection on CT pulmonary angiography scans than on contrast-enhanced CT scans (P<.001), with an optimal Hounsfield unit of 362 (P=.048). Conclusion: The AI algorithm demonstrated high sensitivity, specificity, and accuracy for PE on contrast-enhanced CT scans in patients with COVID-19 regardless of parenchymal disease. Accuracy was significantly affected by the mean attenuation of the pulmonary vasculature. How this affects the legitimacy of the binary outcomes reported by AI is not yet known.

Synthesis and Design of a Synthetic-Living Material Composed of Chitosan, Calendula officinalis Hydroalcoholic Extract, and Yeast with Applications as a Biocatalyst.

Design and development of materials that couple synthetic and living components allow taking advantage of the complexity of biological systems within a controlled environment. However, their design and fabrication represent a challenge for material scientists since it is necessary to synthesize synthetic materials with highly specialized biocompatible and physicochemical properties. The design of synthetic-living materials (vita materials) requires materials capable of hosting cell ingrowth and maintaining cell viability for extended periods. Vita materials offer various advantages, from simplifying product purification steps to controlling cell metabolic activity and improving the resistance of biological systems to external stress factors, translating into reducing bioprocess costs and diversifying their industrial applications. Here, chitosan sponges, functionalized with Calendula officinalis hydroalcoholic extract, were synthesized using the freeze-drying method; they showed small pore sizes (7.58 µm), high porosity (97.95%), high water absorption (1695%), and thermal stability, which allows the material to withstand sterilization conditions. The sponges allowed integration of 58.34% of viable Saccharomyces cerevisiae cells, and the cell viability was conserved 12 h post-process (57.14%) under storage conditions [refrigerating temperature (4 °C) and without a nutrient supply]. In addition, the synthesized vita materials conserved their biocatalytic activity after 7 days of the integration process, which was evaluated through glucose consumption and ethanol production. The results in this paper describe the synthesis of complex vita materials and demonstrate that biochemically modified chitosan sponges can be used as a platform material to host living and metabolically active yeast with diverse applications as biocatalysts.

U.S. Newspaper Coverage of Lung Cancer Screening From 2010 to 2022.

BACKGROUND. Newspapers are an important source of information for the public about low-dose CT (LDCT) lung cancer screening (LCS) and may influence public perception and knowledge of this important cancer screening service. OBJECTIVE. The purpose of this article was to evaluate the volume, content, and other characteristics of articles pertaining to LCS that have been published in U.S. newspapers. METHODS. The ProQuest U.S. Newsstream database was searched for U.S. newspaper articles referring to LCS published between January 1, 2010 (the year of publication of the National Lung Screening Trial results), and March 28, 2022. Search terms included "lung cancer screening(s)," "lung screening(s)," "low dose screening(s)," and "LDCT." Search results were reviewed to identify those articles mentioning LCS. Characteristics of included articles and originating newspapers were extracted. Articles were divided among nine readers, who independently assessed article sentiment regarding LCS and additional article content using a standardized form. RESULTS. The final analysis included 859 articles, comprising 816 nonsyndicated articles published in a single newspaper and 43 syndicated articles published in multiple newspapers. Sentiment regarding LCS was positive in 76% (651/859) of articles, neutral in 21% (184/859), and negative in 3% (24/859). Frequency of positive sentiment was lowest (61%) for articles published from 2010 to 2012; frequency of negative sentiment was highest (8%) for articles published in newspapers in the highest quartile for weekly circulation. LCS enrollment criteria were mentioned in 52% of articles, smoking cessation programs in 28%, need for annual CT in 27%, and shared decision-making in 4%. Cost or insurance coverage for LCS was mentioned in 33% in articles. A total of 64% of articles mentioned at least one benefit of LCS (most commonly early detection or possible cure of lung cancer), and 23% mentioned at least one harm (most commonly false-positives). A total of 9% of articles interviewed or mentioned a radiologist. CONCLUSION. The sentiment of U.S. newspaper articles covering LCS from 2010 to 2022 was overall positive. However, certain key elements of LCS were infrequently mentioned. CLINICAL IMPACT. The findings highlight areas for potential improvement of LCS media coverage; radiologists have an opportunity to take a more active role in this coverage.

Community consensus on core open science practices to monitor in biomedicine.

The state of open science needs to be monitored to track changes over time and identify areas to create interventions to drive improvements. In order to monitor open science practices, they first need to be well defined and operationalized. To reach consensus on what open science practices to monitor at biomedical research institutions, we conducted a modified 3-round Delphi study. Participants were research administrators, researchers, specialists in dedicated open science roles, and librarians. In rounds 1 and 2, participants completed an online survey evaluating a set of potential open science practices, and for round 3, we hosted two half-day virtual meetings to discuss and vote on items that had not reached consensus. Ultimately, participants reached consensus on 19 open science practices. This core set of open science practices will form the foundation for institutional dashboards and may also be of value for the development of policy, education, and interventions.