bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impacts of metabolic disruption, body mass index and inflammation on cognitive function in post-COVID-19 condition: a randomized controlled trial on vortioxetine
Authors: Kwan Angela T.H. , Le Gia Han , Guo Ziji , Ceban Felicia , Teopiz Kayla M. , Rhee Taeho Greg , Ho Roger , Di Vincenzo Joshua D. , Badulescu Sebastian , Meshkat Shakila , Cao Bing , Rosenblat Joshua D. , Dev Donovan A. , Phan Lee , Subramaniapillai Mehala , McIntyre Roger S. 
Published: February 2024

Abstract
Background
Post-COVID-19 Condition (PCC), as defined by the World Health Organization (WHO), currently lacks any regulatory-approved treatments and is characterized by persistent and debilitating cognitive impairment and mood symptoms. Additionally, metabolic dysfunction, chronic inflammation and the associated risks of elevated body mass index (BMI) have been reported. In this study, we aim to investigate the efficacy of vortioxetine in improving cognitive deficits in individuals with PCC, accounting for the interaction of metabolic dysfunction, elevated inflammation and BMI.

Methods
This is a post-hoc analysis of an 8-week randomized, double-blind, placebo-controlled trial that was conducted among adults aged 18 years and older living in Canada who were experiencing WHO-defined PCC symptoms. The recruitment of participants began in November 2021 and concluded in January 2023. A total of 200 individuals were enrolled, where 147 were randomized in a 1:1 ratio to receive either vortioxetine (5–20 mg, n = 73) or placebo (n = 74) for daily treatment under double-blind conditions. The primary outcome measure was the change in the Digit Symbol Substitution Test (DSST) score from baseline to endpoint.

Results
Our findings showed significant effects for time (χ2 = 7.771, p = 0.005), treatment (χ2 = 7.583, p = 0.006) and the treatment x time x CRP x TG-HDL x BMI interaction (χ2 = 11.967, p = 0.018) on cognitive function. Moreover, the between-group analysis showed a significant improvement with vortioxetine at endpoint (mean difference = 0.621, SEM = 0.313, p = 0.047).

Conclusion
Overall, vortioxetine demonstrated significant improvements in cognitive deficits among individuals with baseline markers of metabolic dysfunction, elevated inflammation and higher BMI at endpoint as compared to placebo.

Trial Registration
NCT05047952 (ClinicalTrials.gov; Registration Date: September 17, 2021).
Attitudes, beliefs, and recommendations for persistent low back pain patients: cross-sectional surveys of students and faculty at a chiropractic college
Authors: Muller Ryan D. , Cooper Jesse , Gliedt Jordan A. , Pohlman Katherine A. 
Published: February 2024

Abstract
Background
While the use of chiropractic care for persistent low back pain (PLBP) is prevalent, chiropractors’ attitudes and beliefs related to PLBP patients are not fully understood. The purpose of this study was to assess the attitudes, beliefs and activity/work recommendations of students and faculty at a chiropractic college regarding PLBP patients.

Methods
The Health Care Providers Pain and Impairment Relationship Scale (HC-PAIRS) and clinical vignettes were requested to be completed by chiropractic students and faculty at Parker University in April 2018. Higher HC-PAIRS scores indicate stronger beliefs that PLBP justifies disability and limitation of activities. Activity and work recommendations from clinical vignettes were rated as “adequate”, “neutral”, or “inadequate”, as defined in previous literature. Descriptive statistics, independent t-tests, and logistic regression were used to analyze results.

Results
Student and faculty response rates were 63.6% and 25.9%, respectively. Faculty mean HC-PAIRS scores (3.66 [SD:0.88]) were significantly lower than students’ (4.41 [SD:0.71]). The percentage of faculty providing “adequate” activity (62.1%) and work (41.0%) recommendations was significantly greater than the percentage of students (activity: 33.9%, work: 21.2%) (p < 0.05). Higher HC-PAIRS scores in students were associated with decreased odds of providing “adequate” activity and work recommendations.

Conclusions
Student and faculty attitudes and beliefs, and students’ activity/work recommendations were found to be dissimilar to those from similar studies and less congruent with CPG recommendations. Lower HC-PAIRS scores increased the odds of students providing “adequate” activity and work recommendations to patients with PLBP. Results from this study may help guide future research and training opportunities.
Cost-of-illness studies of inherited retinal diseases: a systematic review
Authors: Ng Qin Xiang , Ong Clarence , Yaow Clyve Yu Leon , Chan Hwei Wuen , Thumboo Julian , Wang Yi , Koh Gerald Choon Huat 
Published: February 2024

Abstract
Background
While health care and societal costs are routinely modelled for most diseases, there is a paucity of comprehensive data and cost-of-illness (COI) studies for inherited retinal diseases (IRDs). This lack of data can lead to underfunding or misallocation of resources. A comprehensive understanding of the COI of IRDs would assist governmental and healthcare leaders in determining optimal resource allocation, prioritizing funding for research, treatment, and support services for these patients.

Methods
Following PRISMA guidelines, a literature search was conducted using Medline, EMBASE and Cochrane databases, from database inception up to 30 Jun 2023, to identify COI studies related to IRD. Original studies in English, primarily including patients with IRDs, and whose main study objective was the estimation of the costs of IRDs and had sufficiently detailed methodology to assess study quality were eligible for inclusion. To enable comparison across countries and studies, all annual costs were standardized to US dollars, adjusted for inflation to reflect their current value and recalculated on a “per patient” basis wherever possible. The review protocol was registered in PROSPERO (registration number CRD42023452986).

Results
A total of nine studies were included in the final stage of systematic review and they consistently demonstrated a significant disease burden associated with IRDs. In Singapore, the mean total cost per patient was roughly US$6926/year. In Japan, the mean total cost per patient was US$20,833/year. In the UK, the mean total cost per patient with IRD ranged from US$21,658 to US$36,549/year. In contrast, in the US, the mean total per-patient costs for IRDs ranged from about US$33,017 to US$186,051 per year. In Canada, these mean total per-patient costs varied between US$16,470 and US$275,045/year. Non-health costs constituted the overwhelming majority of costs as compared to healthcare costs; 87–98% of the total costs were due to non-health costs, which could be attributed to diminished quality of life, poverty, and increased informal caregiving needs for affected individuals.

Conclusion
IRDs impose a disproportionate societal burden outside health systems. It is vital for continued funding into IRD research, and governments should incorporate societal costs in the evaluation of cost-effectiveness for forthcoming IRD interventions, including genomic testing and targeted therapies.
Prediction of clinically significant prostate cancer using radiomics models in real-world clinical practice: a retrospective multicenter study
Authors: Bao Jie , Qiao Xiaomeng , Song Yang , Su Yueting , Ji Libiao , Shen Junkang , Yang Guang , Shen Hailin , Wang Ximing , Hu Chunhong 
Published: February 2024

Abstract
Purpose
To develop and evaluate machine learning models based on MRI to predict clinically significant prostate cancer (csPCa) and International Society of Urological Pathology (ISUP) grade group as well as explore the potential value of radiomics models for improving the performance of radiologists for Prostate Imaging Reporting and Data System (PI-RADS) assessment.

Material and methods
A total of 1616 patients from 4 tertiary care medical centers were retrospectively enrolled. PI-RADS assessments were performed by junior, senior, and expert-level radiologists. The radiomics models for predicting csPCa were built using 4 machine-learning algorithms. The PI-RADS were adjusted by the radiomics model. The relationship between the Rad-score and ISUP was evaluated by Spearman analysis.

Results
The radiomics models made using the random forest algorithm yielded areas under the receiver operating characteristic curves (AUCs) of 0.874, 0.876, and 0.893 in an internal testing cohort and external testing cohorts, respectively. The AUC of the adjusted_PI-RADS was improved, and the specificity was improved at a slight sacrifice of sensitivity. The participant-level correlation showed that the Rad-score was positively correlated with ISUP in all testing cohorts (r > 0.600 and p < 0.0001).

Conclusions
This radiomics model resulted as a powerful, non-invasive auxiliary tool for accurately predicting prostate cancer aggressiveness. The radiomics model could reduce unnecessary biopsies and help improve the diagnostic performance of radiologists’ PI-RADS. Yet, prospective studies are still needed to validate the radiomics models further.

Critical relevance statement
The radiomics model with MRI may help to accurately screen out clinically significant prostate cancer, thereby assisting physicians in making individualized treatment plans.

Key points
• The diagnostic performance of the radiomics model using the Random Forest algorithm is comparable to the Prostate Imaging Reporting and Data System (PI-RADS) obtained by radiologists.
• The performance of the adjusted Prostate Imaging Reporting and Data System (PI-RADS) was improved, which implied that the radiomics model could be a potential radiological assessment tool.
• The radiomics model lowered the percentage of equivocal cases. Moreover, the Rad-scores can be used to characterize prostate cancer aggressiveness.

Graphical Abstract
Visual analysis method for unmanned pumping stations on dynamic platforms based on data fusion technology
Authors: Liu Zhen , Chen Sen , Zhang Zhaobo , Qin Jiahao , Peng Bao 
Published: February 2024

AbstractAs the scale of water conservancy projects continues to expand, the amount and complexity of analytical data have also correspondingly increased. At present, it is difficult to realize project management decision support based on a single data source, and most manual analysis methods not only have high labor costs, but also are prone to the risk of misjudgment, resulting in huge property losses. Based on this problem, this paper proposes visual analysis method for unmanned pumping stations on dynamic platforms based on data fusion technology. First, the method uses the transfer learning method to enable ResNet18 obtain generalization ability. Secondly, the method uses ResNet18 to extract image features, and outputs fixed length sequence data as the input of long short-term memory (LSTM). Finally, the method uses LSTM outputs the classification results. The experimental results demonstrate that the algorithm model can achieve an impressive accuracy of 99.032%, outperforming the combination of traditional feature extraction and machine learning methods. This model effectively recognizes and classifies images of pumping stations, significantly reducing the risk of accidents in these facilities.
Comparison of disease and economic burden between MRSA infection and MRSA colonization in a university hospital: a retrospective data integration study
Authors: Hirabayashi Aki , Yahara Koji , Oka Keisuke , Kajihara Toshiki , Ohkura Teruko , Hosaka Yumiko , Shibayama Keigo , Sugai Motoyuki , Yagi Tetsuya 
Published: February 2024

Abstract
Background
Although there is a growing concern and policy regarding infections or colonization caused by resistant bacteria, including methicillin-resistant Staphylococcus aureus (MRSA), the prognosis of MRSA infections compared to that of methicillin-susceptible Staphylococcus aureus (MSSA) infections remains controversial. Moreover, there have not been any studies comparing both the burden of disease and its impact on the healthcare economy between MRSA infection and colonization while adjusting for confounding factors. These comparisons are crucial for developing effective infection control measures and healthcare policies. We aimed to compare the disease and economic burden between MRSA and MSSA infections and between MRSA infection and colonization.

Methods
We retrospectively investigated data of 496 in-patients with MRSA or MSSA infections and of 1178 in-patients with MRSA infections or MRSA colonization from a university hospital in Japan from 2016 to 2021. We compared in-hospital mortality, length of stay, and hospital charges between in-patients with MRSA and MSSA infections and those with MRSA infections and MRSA colonization using multiple regressions. We combined surveillance data, including all microbiological test results, data on patients with infections, treatment histories, and clinical outcomes, to create the datasets.

Results
There was no statistically significant difference in in-hospital mortality rates between matched MRSA vs. MSSA infections and MRSA infection vs. colonization. On the contrary, the adjusted effects of the MRSA infection compared to those of MSSA infection on length of stay and hospital charges were 1.21-fold (95% confidence interval [CI] 1.03–1.42, P = 0.019) and 1.70-fold (95% CI 1.39–2.07, P < 0.00001), respectively. The adjusted effects of the MRSA infection compared to those of MRSA colonization on length of stay and hospital charges were 1.41-fold (95% CI 1.25–1.58, P < 0.00001) and 1.53-fold (95% CI 1.33–1.75, P < 0.00001), respectively. Regarding confounding factors, hemodialysis or hemofiltration was consistently identified and adjusted for in the multiple regression analyses comparing MRSA and MSSA infections, as well as MRSA infection and MRSA colonization.

Conclusions
MRSA infection was associated with longer length of stay and higher hospital charges than both MSSA infection and MRSA colonization. Furthermore, hemodialysis or hemofiltration was identified as a common underlying factor contributing to increased length of stay and hospital charges.
Host starvation and in hospite degradation of algal symbionts shape the heat stress response of the Cassiopea-Symbiodiniaceae symbiosis
Authors: Toullec Gaëlle , Rädecker Nils , Pogoreutz Claudia , Banc-Prandi Guilhem , Escrig Stéphane , Genoud Christel , Olmos Cristina Martin , Spangenberg Jorge , Meibom Anders 
Published: February 2024

Abstract
Background
Global warming is causing large-scale disruption of cnidarian-Symbiodiniaceae symbioses fundamental to major marine ecosystems, such as coral reefs. However, the mechanisms by which heat stress perturbs these symbiotic partnerships remain poorly understood. In this context, the upside-down jellyfish Cassiopea has emerged as a powerful experimental model system.

Results
We combined a controlled heat stress experiment with isotope labeling and correlative SEM-NanoSIMS imaging to show that host starvation is a central component in the chain of events that ultimately leads to the collapse of the Cassiopea holobiont. Heat stress caused an increase in catabolic activity and a depletion of carbon reserves in the unfed host, concurrent with a reduction in the supply of photosynthates from its algal symbionts. This state of host starvation was accompanied by pronounced in hospite degradation of algal symbionts, which may be a distinct feature of the heat stress response of Cassiopea. Interestingly, this loss of symbionts by degradation was concealed by body shrinkage of the starving animals, resulting in what could be referred to as “invisible” bleaching.

Conclusions
Overall, our study highlights the importance of the nutritional status in the heat stress response of the Cassiopea holobiont. Compared with other symbiotic cnidarians, the large mesoglea of Cassiopea, with its structural sugar and protein content, may constitute an energy reservoir capable of delaying starvation. It seems plausible that this anatomical feature at least partly contributes to the relatively high stress tolerance of these animals in rapidly warming oceans.
The risk of mpox importation and subsequent outbreak potential in Chinese mainland: a retrospective statistical modelling study
Authors: Deng Xiaowei , Tian Yuyang , Zou Junyi , Yang Juan , Sun Kaiyuan , Yu Hongjie 
Published: February 2024

Abstract
Background
The 2022–2023 mpox (monkeypox) outbreak has spread rapidly across multiple countries in the non-endemic region, mainly among men who have sex with men (MSM). In this study, we aimed to evaluate mpox’s importation risk, border screening effectiveness and the risk of local outbreak in Chinese mainland.

Methods
We estimated the risk of mpox importation in Chinese mainland from April 14 to September 11, 2022 using the number of reported mpox cases during this multi-country outbreak from Global.health and the international air-travel data from Official Aviation Guide. We constructed a probabilistic model to simulate the effectiveness of a border screening scenario during the mpox outbreak and a hypothetical scenario with less stringent quarantine requirement. And we further evaluated the mpox outbreak potential given that undetected mpox infections were introduced into men who have sex with men, considering different transmissibility, population immunity and population activity.

Results
We found that the reduced international air-travel volume and stringent border entry policy decreased about 94% and 69% mpox importations respectively. Under the quarantine policy, 15–19% of imported infections would remain undetected. Once a case of mpox is introduced into active MSM population with almost no population immunity, the risk of triggering local transmission is estimated at 42%, and would rise to > 95% with over six cases.

Conclusions
Our study demonstrates that the reduced international air-travel volume and stringent border entry policy during the COVID-19 pandemic reduced mpox importations prominently. However, the risk could be substantially higher with the recovery of air-travel volume to pre-pandemic level. Mpox could emerge as a public health threat for Chinese mainland given its large MSM community.

Graphical Abstract
Further evidence of the association between social media use, eating disorder pathology and appearance ideals and pressure: a cross-sectional study in Norwegian adolescents
Authors: Dahlgren Camilla Lindvall , Sundgot-Borgen Christine , Kvalem Ingela Lundin , Wennersberg Anne-Louise , Wisting Line 
Published: February 2024

Abstract
Background
Few studies have investigated how the plethora of contemporary social media (SM) platforms relate to, and influence eating disorder (ED) pathology, appearance ideals and pressure to conform to these ideals in youth.

Methods
In this study, 1558 girls (53%) and boys (47%), predominantly within the 16–19 age range, completed an online questionnaire assessing SM use and perceived influence on appearance, ED pathology, internalization of appearance ideals and perceived appearance pressure.

Results
Results showed that ED pathology was common, particularly in girls, and that internalization of body ideals was gender specific, a thin ideal being more prevalent in girls, and a muscular ideal being more common in boys. Results also showed a strong association between ED pathology and perceived pressure to conform to these appearance ideals. One fourth of the participants reported spending four hours or more on SM daily, and 80% of girls reported that SM, particularly Instagram and TikTok, had a negative influence on how they felt about their appearance. These girls had significantly higher levels of ED pathology and reported higher levels of appearance pressure from the media.

Conclusion
A clear pattern of associations between photo- and video specific SM platforms, ED pathology, internalization of body ideals and perceived pressure was found in this study. Adolescent girls appeared to be particularly at risk. The results illustrate an imperative need to keep addressing the potential risks of SM use in adolescents, and to continue monitoring the effect of SM on young people’s view of themselves, their appearance, and their eating habits. Future studies should attempt to identify aspects of SM use that may be particularly detrimental for girls and boys in their formative years, but also those that may enhance adolescents’ satisfaction and appreciation of their body and appearance.
Trial registration: The study is registered in the Open Science Framework (Identifier: 10.17605/OSF.IO/5RB6P https://doi.org/10.17605/OSF.IO/5RB6P).
Automated segmentation of lesions and organs at risk on [68Ga]Ga-PSMA-11 PET/CT images using self-supervised learning with Swin UNETR
Authors: Yazdani Elmira , Karamzadeh-Ziarati Najme , Cheshmi Seyyed Saeid , Sadeghi Mahdi , Geramifar Parham , Vosoughi Habibeh , Jahromi Mahmood Kazemi , Kheradpisheh Saeed Reza 
Published: February 2024

Abstract
Background
Prostate-specific membrane antigen (PSMA) PET/CT imaging is widely used for quantitative image analysis, especially in radioligand therapy (RLT) for metastatic castration-resistant prostate cancer (mCRPC). Unknown features influencing PSMA biodistribution can be explored by analyzing segmented organs at risk (OAR) and lesions. Manual segmentation is time-consuming and labor-intensive, so automated segmentation methods are desirable. Training deep-learning segmentation models is challenging due to the scarcity of high-quality annotated images. Addressing this, we developed shifted windows UNEt TRansformers (Swin UNETR) for fully automated segmentation. Within a self-supervised framework, the model’s encoder was pre-trained on unlabeled data. The entire model was fine-tuned, including its decoder, using labeled data.

Methods
In this work, 752 whole-body [68Ga]Ga-PSMA-11 PET/CT images were collected from two centers. For self-supervised model pre-training, 652 unlabeled images were employed. The remaining 100 images were manually labeled for supervised training. In the supervised training phase, 5-fold cross-validation was used with 64 images for model training and 16 for validation, from one center. For testing, 20 hold-out images, evenly distributed between two centers, were used. Image segmentation and quantification metrics were evaluated on the test set compared to the ground-truth segmentation conducted by a nuclear medicine physician.

Results
The model generates high-quality OARs and lesion segmentation in lesion-positive cases, including mCRPC. The results show that self-supervised pre-training significantly improved the average dice similarity coefficient (DSC) for all classes by about 3%. Compared to nnU-Net, a well-established model in medical image segmentation, our approach outperformed with a 5% higher DSC. This improvement was attributed to our model’s combined use of self-supervised pre-training and supervised fine-tuning, specifically when applied to PET/CT input. Our best model had the lowest DSC for lesions at 0.68 and the highest for liver at 0.95.

Conclusions
We developed a state-of-the-art neural network using self-supervised pre-training on whole-body [68Ga]Ga-PSMA-11 PET/CT images, followed by fine-tuning on a limited set of annotated images. The model generates high-quality OARs and lesion segmentation for PSMA image analysis. The generalizable model holds potential for various clinical applications, including enhanced RLT and patient-specific internal dosimetry.