bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trends in treatment patterns and survival outcomes in advanced non-small cell lung cancer: a Canadian population-based real-world analysis
Authors: Carroll Robert , Bortolini Margherita , Calleja Alan , Munro Robin , Kong Shiying , Daumont Melinda J. , Penrod John R. , Lakhdari Khalid , Lacoin Laure , Cheung Winson Y. 
Published: March 2022

Abstract
Background
As part of the multi-country I-O Optimise research initiative, this population-based study evaluated real-world treatment patterns and overall survival (OS) in patients treated for advanced non-small cell lung cancer (NSCLC) before and after public reimbursement of immuno-oncology (I-O) therapies in Alberta province, Canada.

Methods
This study used data from the Oncology Outcomes (O2) database, which holds information for ~ 4.5 million residents of Alberta. Eligible patients were adults newly diagnosed with NSCLC between January 2010 and December 2017 and receiving first-line therapy for advanced NSCLC (stage IIIB or IV) either in January 2010-March 2016 (pre–I-O period) or April 2016-June 2019 (post–I-O period). Time periods were based on the first public reimbursement of I-O therapy in Alberta (April 2017), with a built-in 1-year lag time before this date to allow progression to second-line therapy, for which the I-O therapy was indicated. Kaplan–Meier methods were used to estimate OS.

Results
Of 2244 analyzed patients, 1501 (66.9%) and 743 (33.1%) received first-line treatment in the pre–I-O and post–I-O periods, respectively. Between the pre–I-O and post–I-O periods, proportions of patients receiving chemotherapy decreased, with parallel increases in proportions receiving I-O therapies in both the first-line (from < 0.5% to 17%) and second-line (from 8% to 47%) settings. Increased use of I-O therapies in the post–I-O period was observed in subgroups with non-squamous (first line, 15%; second line, 39%) and squamous (first line, 25%; second line, 65%) histology. First-line use of tyrosine kinase inhibitors also increased among patients with non-squamous histology (from 26% to 30%). In parallel with these evolving treatment patterns, median OS increased from 10.2 to 12.1 months for all patients (P < 0.001), from 11.8 to 13.7 months for patients with non-squamous histology (P = 0.022) and from 7.8 to 9.4 months for patients with squamous histology (P = 0.215).

Conclusions
Following public reimbursement, there was a rapid and profound adoption of I-O therapies for advanced NSCLC in Alberta, Canada. In addition, OS outcomes were significantly improved for patients treated in the post–I-O versus pre–I-O periods. These data lend support to the emerging body of evidence for the potential real-world benefits of I-O therapies for treatment of patients with advanced NSCLC.
News events and their relationship with US vape sales: an interrupted time series analysis
Authors: Janmohamed Kamila , Nakamura-Sakai Shinpei , Soale Abdul-Nasah , Forastiere Laura , Altice Frederick L. , Kumar Navin 
Published: March 2022

Abstract
Objective
News coverage around vaping-related events may have furthered misconceptions regarding the relative harms of vapes. Such information may influence the decisions of individuals who smoke, around switching to vaping, potentially affecting the overall tobacco mortality burden. Thus, it is prudent to study how news events (e.g., 2019 vaping illness epidemic) are associated with vape sales in the United States, to possibly reduce the tobacco mortality burden.

Methods
We used weekly retail sales data for e-cigarettes (30 December 2018 - 28 December 2019) from the US retail scanner data compiled by the Nielsen Company. We used an interrupted time series design with segmented regression analysis to determine immediate and longer-term impacts of individual news events (e.g. Trump administration’s planned ban on some flavored vaping products) on vape sales, controlling for pre-existing trends.

Results
Unexpectedly, we noted a statistically significant positive relationship between vape sales and the CDC announcing an investigation into vaping-related illnesses (Change: 6.59%, Estimate: 0.066; 95% CI: 0.036, 0.092; P < 0.001). We also observed a similar positive association between vape sales and the CDC’s announcement on the link between Vitamin E acetate and EVALI (Change: 2.93%, Estimate: 0.029; 95% CI: 0.003, 0.055; P < 0.05). There was a steep decline in sales after these events.

Conclusions
News events may be associated with US vape sales. Findings have implications for the management of risk perceptions around vaping to improve health outcomes of tobacco users. Information-based policy instruments can be applied to balance the effects of news events that may influence vape sales.
Network analytics and machine learning for predicting length of stay in elderly patients with chronic diseases at point of admission
Authors: Hu Zhixu , Qiu Hang , Wang Liya , Shen Minghui 
Published: March 2022

Abstract
Background
An aging population with a burden of chronic diseases puts increasing pressure on health care systems. Early prediction of the hospital length of stay (LOS) can be useful in optimizing the allocation of medical resources, and improving healthcare quality. However, the data available at the point of admission (PoA) are limited, making it difficult to forecast the LOS accurately.

Methods
In this study, we proposed a novel approach combining network analytics and machine learning to predict the LOS in elderly patients with chronic diseases at the PoA. Two networks, including multimorbidity network (MN) and patient similarity network (PSN), were constructed and novel network features were created. Five machine learning models (eXtreme Gradient Boosting, Gradient Boosting Decision Tree, Random Forest, Linear Support Vector Machine, and Deep Neural Network) with different input feature sets were developed to compare their performance.

Results
The experimental results indicated that the network features can bring significant improvements to the performances of the prediction models, suggesting that the MN and PSN are useful for LOS predictions.

Conclusion
Our predictive framework which integrates network science with data mining can forecast the LOS effectively at the PoA and provide decision support for hospital managers, which highlights the potential value of network-based machine learning in healthcare field.
Peripapillary vessel density correlates with visual field mean sensitivity in highly myopic eyes
Authors: Zhong Hua , Dong Qingqing , Cun Qing , He Guangyu , Tao Yijin , Song Keyao , Lu Yunqing , Zhu Qin , Chen Xi , Chen Qin 
Published: March 2022

Abstract
Purpose
To identify the global and regional distribution of peripapillary vessel density (pVD) and try to find out the relationships between pVD and the visual field mean sensitivity (VFMS) in healthy myopic eyes.

Design
Prospective cross-sectional study.

Methods
Two hundred and twenty-two participants (393 eyes) with myopia (myopic refractive error < − 0.5 diopters) from two clinical centers were recruited in this study and were divided into 4 groups according to the spherical equivalent (SE): Group1:− 0.5D ≥ SE > − 6.00D, Group2: − 6.00D ≥ SE > − 8.00D, Group3:− 8.00D ≥ SE > − 10.00D, Group4:SE ≤ -10.00D.The pVD assessed with optical coherence tomography angiography (OCTA) was quantified in 8 sectors. Peripapillary retinal nerve fibre layer (pRNFL) imaging was performed with SD-OCT. Visual field (VF) tests were performed with the 30-2 SITA standard program on the Humphrey 750i Visual Field Analyzer and were grouped into 8 regions that matched the structure.

Results
The pRNFL had no significant difference in all groups (p = 0.422). The average pVD were significantly lower in group 4 (47.61 ± 6.58) than in group 2 and 3 (51.49 ± 3.21, 50.48 ± 3.43 respectively) (p < 0.05). While both pVD in group2 and 3 were statistically lower than group1 (52.77 ± 2.86). The average VFMS was significantly lower in group 4 (901.85 ± 386.54) than other three groups (1169.15 ± 328.94, 1081.77 ± 338.83, 1076.89 ± 358.18, for group1,2,3 respectively). The pVD and VFMS were positively correlated in group3 (r = 0.184) and group4 (r = 0.476) (p < 0.05). Linear regression analysis demonstrated that VFMS were positively associated with pVD especially in temporal and nasal quadrants in myopic eyes.

Conclusions
The pVD shows a significant positive correlation with VFMS in highly myopic eyes with SE ≤ − 8.00D. We suggest that pVD measurement by OCTA could be a sensitive and useful method for monitoring myopic functional change.
Causal association evaluation of diabetes with Alzheimer's disease and genetic analysis of antidiabetic drugs against Alzheimer's disease
Authors: Meng Lei , Wang Zhe , Ji Hong-Fang , Shen Liang 
Published: March 2022

Abstract
Background
Despite accumulating epidemiological studies support that diabetes increases the risk of Alzheimer’s disease (AD), the causal associations between diabetes and AD remain inconclusive. The present study aimed to explore: i) whether diabetes is causally related to the increased risk of AD; ii) and if so, which diabetes-related physiological parameter is associated with AD; iii) why diabetes drugs can be used as candidates for the treatment of AD. Two-sample Mendelian randomization (2SMR) was employed to perform the analysis.

Results
Firstly, the 2SMR analysis provided a suggestive association between genetically predicted type 1 diabetes (T1D) and a slightly increased AD risk (OR = 1.04, 95% CI = [1.01, 1.06]), and type 2 diabetes (T2D) showed a much stronger association with AD risk (OR = 1.34, 95% CI = [1.05, 1.70]). Secondly, further 2SMR analysis revealed that diabetes-related physiological parameters like fasting blood glucose and total cholesterol levels might have a detrimental role in the development of AD. Thirdly, we obtained 74 antidiabetic drugs and identified SNPs to proxy the targets of antidiabetic drugs. 2SMR analysis indicated the expression of three target genes, ETFDH, GANC, and MGAM, were associated with the increased risk of AD, while CPE could be a protective factor for AD. Besides, further PPI network found that GANC interacted with MGAM, and further interacted with CD33, a strong genetic locus related to AD.

Conclusions
In conclusion, the present study provides evidence of a causal association between diabetes and increased risk of AD, and also useful genetic clues for drug development.
Genotyped indigenous Kiwcha adults at high altitude are lighter and shorter than their low altitude counterparts
Authors: Ortiz-Prado Esteban , Mendieta Gonzalo , Simbaña-Rivera Katherine , Gomez-Barreno Lenin , Landazuri Samanta , Vasconez Eduardo , Calvopiña Manuel , Viscor Ginés 
Published: March 2022

AbstractBackgroundAnthropometric measures have been classically used to understand the impact of environmental factors on the living conditions of individuals and populations. Most reference studies on development and growth in which anthropometric measures were used were carried out in populations that are located at sea level, but there are few studies carried out in high altitude populations.ObjectiveThe objective of this study was to evaluate the anthropometric and body composition in autochthonous Kiwcha permanently living at low and high altitudes.MethodologyA cross-sectional study of anthropometric and body composition between genetically matched lowland Kiwcha from Limoncocha (n= 117), 230 m in the Amazonian basin, and high-altitude Kiwcha from Oyacachi (n= 95), 3800 m in Andean highlands. Student’st-test was used to analyze the differences between continuous variables, and the chi-square test was performed to check the association or independence of categorical variables. Fisher’s exact test or Spearman’s test was used when the variable had evident asymmetries with histograms prior to the selection of the test.ResultsThis study shows that high altitude men are shorter than their counterparts who live at low altitude, withp= 0.019. About body muscle percentage, women at high altitudes have less body muscle percentage (− 24.8%). In comparison, men at high altitudes have significantly more muscle body mass percentage (+ 13.5%) than their lowland counterparts. Body fat percentage was lower among low altitude women (− 15.5%), and no differences were found among men.ConclusionsThis is the first study to be performed in two genotyped controlled matching populations located at different altitudes to our best knowledge. The anthropometric differences vary according to sex, demonstrating that high altitude populations are, in general, lighter and shorter than their low altitude controls. Men at high altitude have more muscled bodies compared to their lowland counterparts, but their body age was older than their actual age.
Drivers of caregiver impact in Duchenne muscular dystrophy: a cohort study
Authors: Schwartz Carolyn E. , Stark Roland B. , Borowiec Katrina , Rapkin Bruce D. 
Published: March 2022

AbstractBackgroundIn our companion paper, we addressed the interplay between caregiver impact, out-of-pocket expenditures, and Duchenne Muscular Dystrophy (DMD) disability. We found that DMD caregiver impact could be characterized by four Latent Profile Analysis impact profiles: lowest, lower middle, upper middle, and highest impact. The impact on caregivers was often but not always worse with greater out-of-pocket expenditures. Further, while the lowest-, lower-middle, and highest-impact profiles reflected low, moderate and high disability-related caregiver burden, respectively, the upper-middle profile group was quite variable in level of disability across domains. To better understand the four caregiver-impact profiles, we examine how a comprehensive set of psychosocial factors differentiate the four profile groups.MethodsPsychosocial factors assessed included demographic characteristics, quality of life (QOL), stress, cognitive appraisal, reserve-building, and general and COVID-specific resilience. Linear modeling examined relationships between impact profiles and psychosocial factors. We used effect size rather than p-value as the criterion for determining relevance of the broad range of characteristics examined.ResultsMultivariate analyses implicated stress and environmental mastery, appraisal sampling of experience, COVID-specific variables, appraisal standards of comparison, appraisal goals, demographics, appraisal combinatory algorithm, reserve-building, and resilience, in order of prominence (average eta2 = 0.29, 0.29, 0.16, 0.15, 0.09, 0.07, 0.07, 0.06, 0.05, and 0.02, respectively). On the whole, comparisons of highest-versus-lowest impact profiles revealed more and larger differences than comparisons of upper-middle versus lower-middle impact profiles. Life stress, goals, and reserve-building activities had a smaller differentiating effect in the middle groups.ConclusionA more comprehensive ‘story’ about DMD caregiver impact involves life stress, environmental mastery, COVID-specific variables, and cognitive and behavioral factors. Implications are discussed for coaching interventions to support DMD caregivers.
Internal jugular vein distensibility variation and inferior vena cava collapsibility variation with fluid resuscitation as an indicator for fluid management in spontaneously breathing septic patients
Authors: Elsaeed Ahmad Mohamad Rashad , Nor El-Din Bassel Mohamed Essam , El Taher Waleed Abdelmegeed Mohamed , Mostafa Raham Hasan , Saleh Ashraf Nabil 
Published: March 2022

Abstract
Background
Sepsis is one of the leading causes of death in ICU patients. Fluid resuscitation is the main target in septic patients. Proper fluid administration is needed in septic patients to overcome generalized vasodilatation and capillary leak, this capillary leak itself may cause tissue edema and worsen septic patients. On the other hand, vasopressors may improve tissue perfusion or worsen tissue hypoxia. Therefore, predictors for fluid responsiveness are urgently needed. However, many studies have found static indicators useless. That is why dynamic predictors for fluid responsiveness are attracting growing interest to optimize patients.
Our goal is to assess the predictive power of internal jugular vein distensibility index and inferior vena cava collapsibility index for fluid responsiveness in spontaneously breathing septic patients.
Forty adult septic patients were enrolled from a single university teaching hospital’s ICU. We measured the Internal jugular distensibility index (IJV-DI) and Inferior vena cava collapsibility index (IVC-CI) in spontaneously breathing septic patients. Patients were considered responders if they had a change in cardiac index (≥ 15%) after fluid resuscitation with 7 ml/kg crystalloid. The main outcome measure is predictive power of Internal jugular vein distensibility index and Inferior vena cava collapsibility index.

Results
Data from 40 spontaneously breathing septic patients were analyzed. Sixty percent of the patients were fluid responder. The areas under curve of receiver operating characteristic for Internal jugular vein distensibility index and Inferior vena cava collapsibility index to predict fluid responsiveness were 0.96 and 0.97, respectively. IJV-DI (> 17.56%) was predictive of fluid responsiveness with 95.83% sensitivity and 87.5% specificity. IVC-CI (> 35%) was predictive of fluid responsiveness with 95.8% sensitivity and 93.7% specificity.

Conclusions
Both IJV-DI and IVC-CI have near good predictive value for fluid responsiveness in spontaneously breathing septic patients.
Experiences of care for self-harm in the emergency department: the perspectives of patients, carers and practitioners
Authors: Robinson Jo , Bailey Eleanor 
Published: March 2022

SummaryEmergency departments are often the point of entry to the healthcare system for people who self-harm, and these individuals are at high risk of further self-harm and suicide in the post-discharge period. These settings therefore provide a critical opportunity for intervention. However, many studies have identified that the experiences of patients, carers and the emergency department staff themselves is often suboptimal. In this editorial we summarise one such study, by O'Keeffe and colleagues, and consider strategies for improving the experiences of patients and their carers when presenting to the emergency department. We also reiterate the need for wider systemic change in attitudes and approaches towards people who self-harm that are pervasive across the healthcare system and beyond.
Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology
Authors: Joel Marina Z. , Umrao Sachin , Chang Enoch , Choi Rachel , Yang Daniel X. , Duncan James S. , Omuro Antonio , Herbst Roy , Krumholz Harlan M. , Aneja Sanjay 
Published: March 2022

PURPOSE Deep learning (DL) models have rapidly become a popular and cost-effective tool for image classification within oncology. A major limitation of DL models is their vulnerability to adversarial images, manipulated input images designed to cause misclassifications by DL models. The purpose of the study is to investigate the robustness of DL models trained on diagnostic images using adversarial images and explore the utility of an iterative adversarial training approach to improve the robustness of DL models against adversarial images. METHODS We examined the impact of adversarial images on the classification accuracies of DL models trained to classify cancerous lesions across three common oncologic imaging modalities. The computed tomography (CT) model was trained to classify malignant lung nodules. The mammogram model was trained to classify malignant breast lesions. The magnetic resonance imaging (MRI) model was trained to classify brain metastases. RESULTS Oncologic images showed instability to small pixel-level changes. A pixel-level perturbation of 0.004 (for pixels normalized to the range between 0 and 1) resulted in most oncologic images to be misclassified (CT 25.6%, mammogram 23.9%, and MRI 6.4% accuracy). Adversarial training improved the stability and robustness of DL models trained on oncologic images compared with naive models ([CT 67.7% v 26.9%], mammogram [63.4% vs 27.7%], and MRI [87.2% vs 24.3%]). CONCLUSION DL models naively trained on oncologic images exhibited dramatic instability to small pixel-level changes resulting in substantial decreases in accuracy. Adversarial training techniques improved the stability and robustness of DL models to such pixel-level changes. Before clinical implementation, adversarial training should be considered to proposed DL models to improve overall performance and safety.
A simple light-trapping device from a hyperbolic metamaterial on a catenoid
Authors: dos Santos Azevedo Frankbelson , de Lima José Diêgo M. , de Pádua Santos Antônio , Ferreira Tiago A. E. , Moraes Fernando 
Published: March 2022

Abstract
By using both ray and wave optics, we show that a simple device which consists of a film of hyperbolic metamaterial on the surface of a catenoid can be used to trap light. From the study of the trajectories, we observe a tendency for the light rays to wrap, and eventually be trapped, around the neck of the device. The wave equation appears to have an effective attractive potential, and their solutions confirm the bound states suggested by the trajectories. The relevant equations are solved numerically using neural networks.
Treatment outcomes of stereotactic ablative body radiotherapy on oligometastases from colorectal cancer: early results of a single institution service evaluation
Authors: Duong Julie , Stewart-Lord Adele , Nariyangadu Prasana , Harrison Mark , Tsang Yat Man 
Published: March 2022

Objective Stereotactic ablative radiotherapy (SABR) has been suggested to be an effective non-invasive ablative therapy for oligometastases originated from colorectal cancer (CRC). This study aimed to report CRC oligometastases SABR treatment outcomes in terms of overall survival (OS), progression-free survival (PFS) and post-treatment toxicities. Methods: Treatment records of patients with CRC metachronous oligometastases who underwent SABR at a single institution between February 2015 and December 2018 were retrospectively reviewed. OS and PFS were calculated using Kaplan–Meier statistics and post-RT toxicity data was scored following CTCAE v. 4.0. Analysis of prognostic factors on OS and PFS was performed based on site of primary cancer, types of treatment to primary cancer, number of oligometastases, SABR treatment sites, intervals between treatment to primary cancer and SABR to oligometastases, biological equivalent dose, cumulative gross tumour volume and planning target volume. Results 75 patients with 86 CRC metachronous oligometastases (including liver, lung, lymph nodes and bone) were included. The median age was 65.5 years (range 42.5–87.2) with a median follow-up of 23.8 months (range 3.1–46.5). The estimated median PFS was 14.6 months (95% CI 9.6–19.6). and estimated median OS was 33.3 months (95% CI 22.9–43.7). Majority of patients tolerated SABR well with the most common acute side-effects of Grade 1 fatigue. No Grade 3 or higher toxicities were reported at any time points. Only SABR treatment sites (p = 0.03) and cumulative volumes of planning target volume (p = 0.02) were found to be statistically significant independent predictors of PFS and OS respectively. Conclusion This study showed modest PFS, OS, and post-treatment toxicity outcomes on SABR to metachronous oligometastases from CRC. It has highlighted that cumulative tumour volume may be a stronger prognostic factor of OS comparing to the number of metastases. Advances in knowledge: There are limited data published on the efficacy and post-treatment toxicity of CRC oligometastases SABR with adequate length of follow-up. Our retrospective study suggests that cumulative tumour volume may be a stronger prognostic factor of OS comparing to the number of oligometastases.