bluuebunny/crossref_metadata_2025_split huggingface dataset:
Global trends in BRCA-related breast cancer research from 2013 to 2022: A scientometric analysis
Authors: Huang Yujie , Zheng Daitian , Yang Qiuping , Wu Jinyao , Tian Huiting , Ji Zeqi , Chen Lingzhi , Cai Jiehui , Li Zhiyang , Chen Yexi 
Published: July 2023

IntroductionSince the mid-2000s, breast cancer incidence among women has slowly increased at about 0.5% per year. In the last three decades, Breast Cancer Susceptibility Gene (BRCA) has been proven to be the crucial gene in encouraging the incidence and development of breast cancer. However, scientometric analysis on BRCA-related breast cancer is in shortage. Thus, to have a clear understanding of the current status and catch up with the hotspots, a scientometric analysis was conducted on specific academic publications collected from the Web of Science (WoS).MethodsWe searched the Web of Science Core Collection (WoSCC) to procure associated articles as our dataset. Bibliometric, CiteSpace, VOSviewer, and HistCite software were then applied to conduct visual analyses of countries, institutions, journals, authors, landmark articles, and keywords in this research field.ResultsA total of 7,266 articles and 1,310 review articles published between 2013 to 2022 were retrieved eventually. The annual output steadily rose year by year and peaked in 2021. The USA led the way in the number of published works, total citations, and collaboration. Breast Cancer Research and Treatment was the most favoured journal in this research field. Narod SA from the University of Toronto produced the most publications. At last, the most prominent keywords were “breast cancer” (n=1,778), “women” (n=1,369), “brca1” (n=1,276), “ovarian cancer” (n=1,259), “risk” (n=1,181), and “mutations” (n=929), which exposed the hotspots within the BRCA domain of breast cancer study.ConclusionThe tendency in the BRCA research field over the past decade was presented by the scientometric analysis. The current research focus is the clinical trials of poly-adenosine diphosphate ribose polymerase inhibitors (PARPi) drugs and their resistance mechanisms.
DAART: a deep learning platform for deeply accelerated adaptive radiation therapy for lung cancer
Authors: Hooshangnejad Hamed , Chen Quan , Feng Xue , Zhang Rui , Farjam Reza , Voong Khinh Ranh , Hales Russell K. , Du Yong , Jia Xun , Ding Kai 
Published: July 2023

PurposeThe study aimed to implement a novel, deeply accelerated adaptive radiation therapy (DAART) approach for lung cancer radiotherapy (RT). Lung cancer is the most common cause of cancer-related death, and RT is the preferred medically inoperable treatment for early stage non-small cell lung cancer (NSCLC). In the current lengthy workflow, it takes a median of four weeks from diagnosis to RT treatment, which can result in complete restaging and loss of local control with delay. We implemented the DAART approach, featuring a novel deepPERFECT system, to address unwanted delays between diagnosis and treatment initiation.Materials and methodsWe developed a deepPERFECT to adapt the initial diagnostic imaging to the treatment setup to allow initial RT planning and verification. We used data from 15 patients with NSCLC treated with RT to train the model and test its performance. We conducted a virtual clinical trial to evaluate the treatment quality of the proposed DAART for lung cancer radiotherapy.ResultsWe found that deepPERFECT predicts planning CT with a mean high-intensity fidelity of 83 and 14 HU for the body and lungs, respectively. The shape of the body and lungs on the synthesized CT was highly conformal, with a dice similarity coefficient (DSC) of 0.91, 0.97, and Hausdorff distance (HD) of 7.9 mm, and 4.9 mm, respectively, compared with the planning CT scan. The tumor showed less conformality, which warrants acquisition of treatment Day1 CT and online adaptive RT. An initial plan was designed on synthesized CT and then adapted to treatment Day1 CT using the adapt to position (ATP) and adapt to shape (ATS) method. Non-inferior plan quality was achieved by the ATP scenario, while all ATS-adapted plans showed good plan quality.ConclusionDAART reduces the common online ART (ART) treatment course by at least two weeks, resulting in a 50% shorter time to treatment to lower the chance of restaging and loss of local control.
Molecular profiling of solid tumors by next-generation sequencing: an experience from a clinical laboratory
Authors: Bhai Pratibha , Turowec Jacob , Santos Stephanie , Kerkhof Jennifer , Pickard LeeAnne , Foroutan Aidin , Breadner Daniel , Cecchini Matthew , Levy Michael A. , Stuart Alan , Welch Stephen , Howlett Christopher , Lin Hanxin , Sadikovic Bekim 
Published: July 2023

BackgroundPersonalized targeted therapies have transformed management of several solid tumors. Timely and accurate detection of clinically relevant genetic variants in tumor is central to the implementation of molecular targeted therapies. To facilitate precise molecular testing in solid tumors, targeted next-generation sequencing (NGS) assays have emerged as a valuable tool. In this study, we provide an overview of the technical validation, diagnostic yields, and spectrum of variants observed in 3,164 solid tumor samples that were tested as part of the standard clinical diagnostic assessment in an academic healthcare institution over a period of 2 years.MethodsThe Ion Ampliseq™ Cancer Hotspot Panel v2 assay (ThermoFisher) that targets ~2,800 COSMIC mutations from 50 oncogenes and tumor suppressor genes was validated, and a total of 3,164 tumor DNA samples were tested in 2 years. A total of 500 tumor samples were tested by the comprehensive panel containing all the 50 genes. Other samples, including 1,375 lung cancer, 692 colon cancer, 462 melanoma, and 135 brain cancer, were tested by tumor-specific targeted subpanels including a few clinically actionable genes.ResultsOf 3,164 patient samples, 2,016 (63.7%) tested positive for at least one clinically relevant variant. Of 500 samples tested by a comprehensive panel, 290 had a clinically relevant variant with TP53, KRAS, and PIK3CA being the most frequently mutated genes. The diagnostic yields in major tumor types were as follows: breast (58.4%), colorectal (77.6%), lung (60.4%), pancreatic (84.6%), endometrial (72.4%), ovary (57.1%), and thyroid (73.9%). Tumor-specific targeted subpanels also demonstrated high diagnostic yields: lung (69%), colon (61.2%), melanoma (69.7%), and brain (20.7%). Co-occurrence of mutations in more than one gene was frequently observed.ConclusionsThe findings of our study demonstrate the feasibility of integrating an NGS-based gene panel screen as part of a standard diagnostic protocol for solid tumor assessment. High diagnostic rates enable significant clinical impact including improved diagnosis, prognosis, and clinical management in patients with solid tumors.
Cognitive biases in first-episode psychosis with and without attention-deficit/hyperactivity disorder
Authors: Sanchez-Gistau Vanessa , Cabezas Angel , Manzanares Nuria , Sole Montse , Corral Lia , Vilella Elisabet , Gutierrez-Zotes Alfonso 
Published: July 2023

IntroductionPsychotic disorders such schizophrenia and attention-deficit/hyperactivity disorder (ADHD) are neurodevelopmental disorders with social cognitive deficits. Specifically, biased interpretation of social information can result in interpersonal difficulties. Cognitive biases are prevalent in psychosis, but no previous study has investigated whether the type and severity of cognitive biases differ between subjects experiencing first-episode psychosis (FEP) with (FEP-ADHD+) and without ADHD (FEP-ADHD−).MethodsA total of 121 FEP outpatients at the Early Intervention Service of Reus were screened for childhood ADHD through the Diagnostic Interview for ADHD (DIVA). Cognitive biases were assessed by the Cognitive Biases Questionnaire for Psychosis (CBQp). CBQp scores of FEPs groups were compared with those of healthy controls (HCs) with an analysis of covariance. Spearman correlation analysis explored associations between CBQp scores and psychopathology.ResultsThirty-one FEPs met the criteria for childhood ADHD and reported significantly more cognitive bias [median (interquartile range): 47 (38–56)] than FEP-ADHD− [42 (37–48)] and HCs [38 (35.5–43)]. CBQp scores did not differ between FEP-ADHD-and HCs when adjusted for age and sex. After controlling for clinical differences, Intentionalising (F = 20.97; p &lt; 0.001) and Emotional Reasoning biases (F = 4.17; p = 0.04) were more strongly associated with FEP-ADHD+ than FEP-ADHD−. Cognitive biases were significantly correlated with positive psychotic symptoms in both groups but only with depressive symptoms in FEP-ADHD− (r = 0.258; p = 0.03) and with poor functioning in FEP-ADHD+ (r = −0.504; p = 0.003).ConclusionCognitive bias severity increased from HCs to FEP-ADHD-patients to FEP-ADHD+ patients. FEP-ADHD+ patients may be a particularly vulnerable group in which metacognitive targeted interventions are needed.
The role of individual features of memory and impulsiveness in telling a true or false story in a realistic, clear, and reconstructible way
Authors: Sergi Ida , Mottola Francesca , Gnisci Augusto , Caso Letizia , Palena Nicola 
Published: July 2023

ObjectiveThe aim of the present study was to explore whether there was an interaction effect between such personal aspects and veracity on realism, clarity, and reconstructability of the story.MethodsA total of 158 participants took part in the experiment and were asked to tell a truth and a lie during an interview (veracity condition). They filled in a questionnaire measuring their metamemory performance and their level of functional and dysfunctional impulsivity. A k-means cluster analysis on metamemory and impulsivity was conducted, and three clusters were obtained: controlled-memory inefficient, controlled-memory efficient, and impulsive-average memory.ResultsThe results showed that participants scored higher on all three reality monitoring criteria when telling the truth than when lying. Further, a cluster membership by veracity interaction for realism was also significant, but when telling the truth, there was no difference between clusters in terms of realism used in the explanation. Follow-up analyses showed that, when lying, the level of realism in the story was significantly higher for people belonging to the cluster “impulsive-average memory” than for people belonging to the cluster “controlled-memory efficient”, a result that seems to indicate that people with good memory and can control dysfunctional impulsivity have more difficulties when lying.ConclusionsResearch has shown that realism, clarity, and reconstructability of the story, all part of reality monitoring, can be useful to assess veracity. Generally, truth tellers obtain higher scores on all three variables than liars, but there is some variability across individuals owing to their personal characteristics. Metamemory and impulsivity also play a role in deception. From the implications of the results, the limitations of the study and suggestions for future research are also provided.
Hunger modulates perceptions of food health but not taste in restricted eaters
Authors: Herrero Lucia , McCrea Cindy E. 
Published: July 2023

IntroductionFood taste and health perceptions are of particular interest for their implications on food choice. Most in vivo food choice studies experimentally control for hunger via a set preload or fast.MethodsTo explore how hunger may interact with these perceptions to impact food decisions, we compared taste and health perceptions of sweet and savory obesogenic food items among hungry or satiated participants with varying restrained eating tendencies.ResultsIn our sample of 232 adults (M BMI = 25.9; M age = 36.4 yrs), highly palatable foods were perceived as tasty but unhealthy. Tastiness ratings were high, consistent across restrained eating groups, and unassociated with hunger. Perceptions of health, however, were impacted by the interaction of restrained eating group and hunger. Amongst hungry participants only, a graded association between restrained eating group and perceptions of health emerged for both food types. Specifically, hungry and highly restrained eaters viewed sweet foods as 2.8x healthier and savory foods as 2.1x healthier than their satiated counterparts.DiscussionOur data suggest that hunger predicts differential health perceptions, but not tastiness ratings, among restrained eaters. We argue that the generalization of food perception data–especially among different eater types–may be limited if the continuum of hunger level is experimentally constrained. Therefore, hunger is a critical dynamic to consider in explorations of food perceptions and eating behavior in restrained eaters.
Psychometric properties of the Korean version of questionnaires on adherence to physical distancing and health beliefs about COVID-19 in the general population
Authors: Hong Youjin , An Hoyoung , Cho Eulah , Ahmed Oli , Ahn Myung Hee , Yoo Soyoung , Chung Seockhoon 
Published: July 2023

IntroductionWe aimed to examine the psychometric properties of the Korean version of the questionnaires on adherence to physical distancing and health beliefs about COVID-19 in the general population in South Korea. In addition, we investigated how the various sections interacted with each other and with viral anxiety and depression, and ultimately affected adherence to physical distancing.MethodsAn anonymous online survey was conducted among members of the general population in South Korea between 10 and 18 January 2022. We recruited 400 respondents and measured their demographic information, symptoms, and responses to questions about COVID-19. First, we examined the reliability and validity of the questionnaires, which included questions about people’s adherence to physical distancing guidelines and COVID-19-related health beliefs. Second, we examined the relationship between physical distancing and viral anxiety or depression, as assessed using the six-item Stress and Anxiety to Viral Epidemics (SAVE-6) scale and the Patient Health Questionnaire-9 (PHQ-9).ResultsAll 400 participants (204 men, age 41.6 ± 10.8) completed the survey. Confirmatory factor analysis revealed a good model fit for adherence to physical distancing (CFI = 1.000, TLI = 1.019, RMSEA = 0.000, and SRMR = 0.034) and health beliefs about COVID-19 (CFI = 0.993, TLI = 0.991, RMSEA = 0.030, and SRMR = 0.052). It also showed good reliability for Factor I (Cronbach’s α = 0.826) and Factor II (α = 0.740). Four categories of the COVID-19 health beliefs questionnaire also showed good reliability for perceived susceptibility (α = 0.870), perceived severity (α = 0.901), perceived benefit (α = 0.935), and barriers to following physical distancing (α = 0.833). Structural equation models showed that the effects of health beliefs and viral anxiety and depression were mediated mostly by personal injunctive norms. Goodness-of-fit measures indicated a good fit. (Chi-square = 24.425, df = 7, p &lt; 0.001; CFI = 0.966; RMSEA = 0.079).ConclusionThe Korean version of the COVID-19 adherence to physical distancing and health beliefs questionnaires showed good reliability and validity in the Korean general population. In addition, the effects of health beliefs, along with viral anxiety and depression, were mainly mediated by personal injunctive norms.
Polydipsia and autistic traits in patients with schizophrenia spectrum disorders
Authors: Komatsu Hiroshi , Ono Takashi , Onouchi Yuji , Onoguchi Goh , Maita Yoshinori , Ishida Yusuke , Maki Takahiro , Oba Akiko , Tomita Hiroaki , Kakuto Yoshihisa 
Published: July 2023

IntroductionPolydipsia, prevalent in 6%–20% of patients with schizophrenia, results in seclusion and prolonged hospitalization. It is also observed in autistic individuals, with previous studies reporting that autism accounted for 20% of all hospitalized patients with polydipsia. The current study investigated the association between polydipsia and autistic traits in patients with schizophrenia spectrum disorders (SSDs) based on the hypothesis that higher autistic traits would be observed in schizophrenic patients with polydipsia.MethodsIn the first study (study A), the autism-spectrum quotient [(AQ); Japanese version] scores of long-stay inpatients with and without polydipsia were compared. Furthermore, the association between polydipsia and autistic traits was also examined in short-stay inpatients and outpatients with SSDs (study B).ResultsStudy A showed that patients with polydipsia scored significantly higher on the three AQ subscales (attention switching; communication; and imagination) compared to those without. Study B also showed that patients with polydipsia had significantly higher AQ scores overall and for several subscales compared to those without polydipsia. Binary logistic regression analysis of the combined sample showed that male gender and higher autistic traits were significant predictors of polydipsia.DiscussionThe study highlights the importance of focusing on such traits to understand the pathogenesis of polydipsia in SSD patients.
Inside out: transforming images of lab-grown plants for machine learning applications in agriculture
Authors: Krosney Alexander E. , Sotoodeh Parsa , Henry Christopher J. , Beck Michael A. , Bidinosti Christopher P. 
Published: July 2023

IntroductionMachine learning tasks often require a significant amount of training data for the resultant network to perform suitably for a given problem in any domain. In agriculture, dataset sizes are further limited by phenotypical differences between two plants of the same genotype, often as a result of different growing conditions. Synthetically-augmented datasets have shown promise in improving existing models when real data is not available.MethodsIn this paper, we employ a contrastive unpaired translation (CUT) generative adversarial network (GAN) and simple image processing techniques to translate indoor plant images to appear as field images. While we train our network to translate an image containing only a single plant, we show that our method is easily extendable to produce multiple-plant field images.ResultsFurthermore, we use our synthetic multi-plant images to train several YoloV5 nano object detection models to perform the task of plant detection and measure the accuracy of the model on real field data images.DiscussionThe inclusion of training data generated by the CUT-GAN leads to better plant detection performance compared to a network trained solely on real data.
Developmental screening tools for identification of children with developmental difficulties in high-income countries: a systematic review
Authors: Cibralic Sara , Hawker Patrick , Khan Ferosa , Lucien Abbie , Mendoza Diaz Antonio , Woolfenden Susan , Murphy Elisabeth , Deering April , Schnelle Clare , Townsend Sharnee , Eapen Valsamma 
Published: July 2023

ObjectiveTo examine and synthesize the literature on the use of universal developmental screening and surveillance tools in high-income countries in relation to (1) psychometric properties; (2) knowledge, acceptability, and feasibility of tools; and (3) follow-up taken following screening/surveillance.MethodA PRISMA-compliant systematic review was performed in the PsychInfo, PubMed, and Embase databases. Studies published in the English language were included if they reported results evaluating a universal developmental screening or surveillance measurement tool. Articles on service providers’ and/or parents’ views on developmental screening were also included. Two independent reviewers extracted data and assessed for risk of bias using the Mixed Methods Appraisal Tool and the Quality Assessment of Diagnostic Accuracy Studies Tool. Results were synthesized qualitatively.ResultsInitial searches identified 2,078 articles, of which 52 were included in the final review. Findings showed that several articles assessing the accuracy of screening tools have been published, and together, they suggest that the accuracy of screening tools varies across cultures and countries. Furthermore, available literature indicated that administering universal developmental screening tools was feasible and acceptable, though only a small number of studies are available. Results also showed a limited number of studies looking at actions taken following positive screening results.ConclusionAs the evidence stands, more research assessing the acceptability, feasibility, and accuracy of developmental screeners, is needed.Systematic review registrationThis review has been registered with the University of York Centre for Reviews and Dissemination (PROSPERO; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=337320, registration number CRD42022337320).
Disability doesn’t discriminate: health inequities at the intersection of race and disability
Authors: Dorsey Holliman Brooke , Stransky Michelle , Dieujuste Nathalie , Morris Megan 
Published: July 2023

ObjectivesGiven the prevalence of discrimination experienced by racial and ethnic minorities living with disabilities, it is likely that racism experienced by Black, Indigenous, and people of color (BIPOC) is compounded by the ableism experienced by people with disabilities, widening disparities in health and healthcare outcomes. To address this, we described unmet healthcare needs of a sample of Black, non-Hispanic, and Hispanic adults with and without disabilities. The following research question was examined exploratively: Are Black and Hispanic adults with disabilities at increased risk of unmet healthcare needs compared to Black and Hispanic adults without disabilities according to the 2018 National Health Interview Survey?MethodsSurvey data was examined from the 2018 National Health Interview Survey (NHIS), a nationally representative survey of community-dwelling adults in the United States.ResultsBlack and non-Hispanic adults most commonly reported mobility only disabilities. People with disabilities were significantly more likely to delay or forego care than their peers without disabilities within each racial/ethnic group. Among non-Hispanic Black and Hispanic adults, nearly 30% of people with disabilities forewent services due to cost compared to persons without disabilities.ConclusionsBlack and Hispanic adults with disabilities experience greater disparities in access to healthcare than Black and Hispanic adults without disabilities. Therefore, health disparities experienced by racial and ethnic minorities living with disabilities is likely influenced by the dual systemic factors of racism and ableism.