bluuebunny/crossref_metadata_2025_split huggingface dataset:
Care trajectories and transitions at the end of life: a population-based cohort study
Authors: Dufour Isabelle , Courteau Josiane , Legault Véronique , Godard-Sebillotte Claire , Roberge Pasquale , Hudon Catherine ,   the TorSaDE Cohort Working Group, Vanasse Alain , Lebel Alexandre , Quesnel-Vallée Amélie , Lacasse Anaïs , Néron André , Cloutier Anne-Marie , Giguère Annie , Lamarche Benoit , Vissandjee Bilkis , Hudon Catherine , St-Laurent Danielle , Buckeridge David , Roy Denis , Landry Geneviève , Bartlett Gillian , Blanchet Guillaume , Nguena Nguefack Hermine Lore , Leroux Isabelle , Borja Jaime , Ethier Jean-François , Courteau Josiane , Blais Lucie , Choinière Manon , Dorais Marc , Blanchette Marc-André , Côté-Marcil Marc-Antoine , Fleury Marie-Josée , Pomey Marie-Pascale , Benigeri Mike , Courteau Mireille , Sourial Nadia , Roberge Pasquale , Tremblay Pier , Cambon Pierre , Dault Roxanne , Jean Sonia , Quirion Sonia , Plante Stéphanie , Poder Thomas , Émond Valérie 
Published: October 2024

Abstract

Background
End-of-life periods are often characterised by suboptimal healthcare use (HCU) patterns in persons aged 65 years and older, with negative effects on health and quality of life. Understanding care trajectories (CTs) and transitions in this period can highlight potential areas of improvement, a subject yet only little studied.

Objective
To propose a typology of CTs, including care transitions, for older individuals in the 2 years preceding death.

Design
Retrospective cohort study.

Methods
We used multidimensional state sequence analysis and data from the Care Trajectories—Enriched Data (TorSaDE) cohort, a linkage between a Canadian health survey and Quebec health administrative data.

Results
In total, 2080 decedents were categorised into five CT groups. Group 1 demonstrated low HCU until the last few months, whilst group 2 showed low HCU over the first year, followed by a steady increase. A gradual increase over the 2 years was observed for groups 3 and 4, though more pronounced towards the end for group 3. A persistent high HCU was observed for group 5. Groups 2 and 4 had higher proportions of cancer diagnoses and palliative care, as opposed to comorbidities and dementia for groups 3 and 5. Overall, 68.4% of individuals died in a hospital, whilst 27% received palliative care there. Care transitions increased rapidly towards the end, most notably in the last 2 weeks.

Conclusion
This study provides an understanding of the variability of CTs in the last two years of life, including place of death, a critical step towards quality improvement.
PocketDTA: an advanced multimodal architecture for enhanced prediction of drug−target affinity from 3D structural data of target binding pockets
Authors: Zhao Long , Wang Hongmei , Shi Shaoping 
Published: October 2024

Abstract

Motivation
Accurately predicting the drug−target binding affinity (DTA) is crucial to drug discovery and repurposing. Although deep learning has been widely used in this field, it still faces challenges with insufficient generalization performance, inadequate use of 3D information, and poor interpretability.

Results
To alleviate these problems, we developed the PocketDTA model. This model enhances the generalization performance by pre-trained models ESM-2 and GraphMVP. It ingeniously handles the first 3 (top-3) target binding pockets and drug 3D information through customized GVP-GNN Layers and GraphMVP-Decoder. In addition, it uses a bilinear attention network to enhance interpretability. Comparative analysis with state-of-the-art (SOTA) methods on the optimized Davis and KIBA datasets reveals that the PocketDTA model exhibits significant performance advantages. Further, ablation studies confirm the effectiveness of the model components, whereas cold-start experiments illustrate its robust generalization capabilities. In particular, the PocketDTA model has shown significant advantages in identifying key drug functional groups and amino acid residues via molecular docking and literature validation, highlighting its strong potential for interpretability.

Availability and implementation
Code and data are available at: https://github.com/zhaolongNCU/PocketDTA.
Calculating optic nerve planning organ at risk volume margins for stereotactic radiosurgery using optic nerve motion determined using MRI
Authors: Sabharwal Sagar , Heyes Geoff , Tudor George S J , Flintham Robert , Chavda Swarupsinh , Sanghera Paul 
Published: October 2024

Abstract

Objectives
The combination of sharp dose gradients in stereotactic radiosurgery (SRS) and minute optic nerve motion may significantly increase dose to the optic nerves when treating perioptic lesions. The aim of this study was to calculate optic nerve planning organ at risk volume (PRV) margins for CyberKnife SRS treatment planning.

Methods
MRI scans were taken of 10 healthy volunteers looking left, right, up, down, and straight ahead to measure optic nerve motion. The measured optic nerve motion and the uncertainties in the technical accuracy of CyberKnife were used to calculate optic nerve PRV margins.

Results
Two optic nerve PRV margins were calculated: a non-isotropic margin of mL/R,PRV=3 mm, mSup/Inf,PRV=2 mm, and mAnt/Post,PRV=1 mm which considers the full range of motion measured in a worst case scenario; and an isotropic margin of mPRV=1 mm which considers a scenario where patients are asked to look neutrally during imaging and treatment. Applying these PRVs to 8 historical sphenoid wing meningioma CyberKnife plans showed tolerance levels may be exceeded due to optic nerve motion.

Conclusions
Optic nerve PRV margins may be needed in CyberKnife planning to reduce risk to the optic nerves. The use of a mPRV=1 mm PRV to account for organ motion, along with instructing patients to hold their gaze neutrally during imaging and treatment, may be a suitable organ sparing strategy.

Advances in knowledge
Measured optic nerve motion and the technical accuracy of the CyberKnife system have been used to calculate optic nerve PRV margins.
Boron-bridged bis(tetrathiafulvalene) zwitterionic neutral radical conductors: substituent effects on intramolecular and intermolecular electronic interactions and physical properties
Authors: Sonoda Keita , Shimokawa Sota , Suzuki Shuichi , Kusamoto Tetsuro , Ueda Akira 
Published: October 2024

Abstract
We have recently proposed a new molecular design for neutral radical molecular conductors, based on the chemical composition of D2X-type charge-transfer salts (D = π-electron donor molecule, X = monovalent anion). Namely, we connected two tetrathiafulvalene (TTF)-based π-electron skeletons having a charge of +0.5 via a boron anion B–, to obtain a purely organic zwitterionic neutral radical {[(PDT-TTF-Cat)2]+B–}• that shows unique electronic states and properties in the crystal due to the intramolecular and intermolecular interactions of the +0.5-charged π-skeletons. In order to further explore the structural and electronic features of this kind of zwitterionic neutral radical conductor, in this study, we have examined chemical modifications to {[(PDT-TTF-Cat)2]+B–}•. As a result, an analog molecule {[(BMT-TTF-Cat)2]+B–}•, in which propylenedithio (PDT) groups on the TTF terminals in {[(PDT-TTF-Cat)2]+B–}• are replaced by bis(methylthio) ones, was successfully synthesized as air-stable single crystals. Interestingly, this chemical modification causes intramolecular charge disproportionation between the two TTF-based π-skeletons (i.e. the monovalent cation radical TTF+• and the neutral TTF0) coupled to the modulation of the intermolecular distances and interactions between these π-skeletons, leading to electrical and magnetic properties significantly different from those of the crystal of {[(PDT-TTF-Cat)2]+B–}•.
Untargeted Metabolomics for Inborn Errors of Metabolism: Development and Evaluation of a Sustainable Reference Material for Correcting Inter-Batch Variability
Authors: Garrett Rafael , Ptolemy Adam S , Pickett Sara , Kellogg Mark D , Peake Roy W A 
Published: October 2024

Abstract

Background
Untargeted metabolomics has shown promise in expanding screening and diagnostic capabilities for inborn errors of metabolism (IEMs). However, inter-batch variability remains a major barrier to its implementation in the clinical laboratory, despite attempts to address this through normalization techniques. We have developed a sustainable, matrix-matched reference material (RM) using the iterative batch averaging method (IBAT) to correct inter-batch variability in liquid chromatography-high-resolution mass spectrometry-based untargeted metabolomics for IEM screening.

Methods
The RM was created using pooled batches of remnant plasma specimens. The batch size, number of batch iterations per RM, and stability compared to a conventional pool of specimens were determined. The effectiveness of the RM for correcting inter-batch variability in routine screening was evaluated using plasma collected from a cohort of phenylketonuria (PKU) patients.

Results
The RM exhibited lower metabolite variability between iterations over time compared to metabolites from individual batches or individual specimens used for its creation. In addition, the mean variation across amino acid (n = 19) concentrations over 12 weeks was lower for the RM (CVtotal = 8.8%; range 4.7%–25.3%) compared to the specimen pool (CVtotal = 24.6%; range 9.0%–108.3%). When utilized in IEM screening, RM normalization minimized unwanted inter-batch variation and enabled the correct classification of 30 PKU patients analyzed 1 month apart from 146 non-PKU controls.

Conclusions
Our RM minimizes inter-batch variability in untargeted metabolomics and demonstrated its potential for routine IEM screening in a cohort of PKU patients. It provides a practical and sustainable solution for data normalization in untargeted metabolomics for clinical laboratories.
Patient and Healthcare Professional Satisfaction, Acceptability, and Preference Experiences With Mirikizumab Administration for Ulcerative Colitis: An International Survey
Authors: Clemow David , Radawski Christine , Milata Joe , Alaka Karla , Gibble Theresa Hunter , Schaum Adam , Ezennia Obi , Martinez Nicholas , Szaloki Tibor , Ito Yuka , Rodriguez Danielle , Kirk Katherine 
Published: October 2024

Abstract

Background
There is a need to better understand ulcerative colitis (UC) patient and healthcare provider (HCP) treatment satisfaction, acceptability, and preferences.

Methods
Two international, cross-sectional, web-based surveys were conducted among participants of a phase 3 mirikizumab study (NCT03519945). The questions captured moderate-to-severe UC patients’ experience, HCPs’ perception of patients’ experience, and HCPs’ own experience with mirikizumab administration through intravenous (IV) infusions and subcutaneous (SC) injections.

Results
Respondents included 93 patients and 42 HCPs from 11 countries. The majority of patients had UC &gt;4 years (74.2%), were bionaive (68%), in remission at the time of the survey (63%). HCPs were primarily from the United States (57%), generally nurses (41%) or gastroenterologists (26%) with ≥6 years of experience in treating UC (57%). Most patients were “very satisfied/satisfied” (IV, 83%; SC, 91%), “completely/somewhat” accepting of mirikizumab administration (IV, 87%; SC, 97%), and agreed that improvement to their UC outweighed any administration dissatisfaction (90%). HCPs’ perspectives of patients’ experiences were higher: “very satisfied/satisfied” (IV, 93%; SC, 100%); “completely/somewhat” accepting (IV, 90%; SC, 98%). HCPs themselves were “very satisfied/satisfied” (IV, 81%; SC, 95%); gastroenterologists were “very satisfied” (IV, 82%; SC, 82%) more than nurses (IV, 29%; SC, 65%) who were generally at least “satisfied” (IV, 53%; SC, 35%). Two SC and monthly SC injections were “completely acceptable” by the patients (76% and 85%) and per HCPs’ perceptions of patients’ preferences (69% and 100%).

Conclusions
Both patients and HCPs were satisfied with and accepted mirikizumab IV induction followed by monthly maintenance SC injections. UC improvement outweighed any administration dissatisfaction.
Transcatheter aortic valve replacement in a bicuspid aortic valve with membranous interventricular septum aneurysm communicating with aortic root: a case report
Authors: Xi Ziwei , Yao Jing , Song Guangyuan 
Published: October 2024

Abstract

Background
Membranous interventricular septum aneurysm (MISA) is a rare abnormality occurring in 0.3% of patients with congenital heart disease, which thereby increases anatomical complexity.

Case summary
Transcatheter aortic valve replacement (TAVR) procedure was planned for a 71-year-old female patient from East Asia with a type 1 bicuspid aortic valve diagnosed with severe aortic stenosis by transthoracic echocardiography (TTE). Pre-procedural multidetector computed tomography (MDCT) clearly revealed an extremely horizontal aorta and a MISA originating from the sub-annulus with the upper edge extending 7.2 mm above the annulus. A probable communicating flow between the left ventricle and the aorta was confirmed by reviewing the TTE images. Moreover, there was a calcified raphe between the left- and right-coronary cusps. A downsized balloon-expandable valve (a 23 mm Sapien 3 valve with an additional 2 mL dilation) was therefore chosen and deployed with a 100/0 aortic/ventricular ratio position. The TTE post-implantation indicated a trace perivalvular leakage. The cardiac MDCT performed post-procedure, at the 6-month, and 12-month follow-ups demonstrated complete sealing and significant healing of the aneurysm.

Discussion
Transcatheter aortic valve replacement utilizing a balloon-expandable valve was successfully performed for a case with membranous interventricular septum aneurysm extending above the annulus. Comprehensive imaging analysis before the procedure is crucial for TAVR with challenging anatomical conditions.
Cardiorespiratory Fitness in Childhood Cancer Survivors: A Systematic Review and Meta-Analysis
Authors: Weinkauf Kaitlyn , Fyfe Emma , Hewitt Dean , Wang Jing , Kennedy Megan , Pituskin Edith , La Gerche Andre , Foulkes Stephen J , Haykowsky Mark J 
Published: October 2024

Abstract

Aims
Cardiovascular disease (CVD) is a leading cause of mortality in childhood cancer survivors (CCS) that may be related to the cardiotoxic effects of radiation or chemotherapy and concomitant reductions in cardiorespiratory fitness. Therefore, we sought to compare cardiorespiratory fitness (peak oxygen uptake, V̇O2peak) between CCS and age-matched non-cancer controls (CON). Secondary outcomes included hemodynamics and resting cardiac function.

Methods
Embase, Scopus, MEDLINE, CINAHL and SPORTDiscus databases were searched from inception to June 2023 for eligible studies. Cross-sectional studies with V̇O2peak measured in CCS and CON were included. Differences in outcomes and pooled estimates for each outcome were estimated from a fixed effects meta-analysis and between group differences were reported as a weighted mean difference (WMD).

Results
Of 2026 studies identified, 18 reported V̇O2peak (CCS: n=786, 44% female, mean age: 16-years, time post-therapy: 5.8 years; CON: n=1379, 50% female, mean age: 16-years). V̇O2peak was lower in CCS (WMD: -7.08mL/kg/min, 95% CI: -7.75 to -6.42, I2: 79%, n=2,165) with no difference for peak exercise heart rate (WMD: -1.4bpm, 95% CI: -3.0 to 0.2, I2: 63%, n=741). Resting left-ventricular ejection fraction (WMD: -1.61%, 95% CI: -2.60 to -0.62, I2.: 49%, n=222) and systolic blood pressure were lower (WMD: -3.8mmHg, 95% CI: -5.7 to -1.9, I2: 25%, n=184) while resting heart rate was higher in CCS (WMD: 4.9bpm; 95% CI: 1.8 to 7.9, I2: 55%, n=262).

Conclusions
CCS have a marked reduction in cardiorespiratory fitness (7.1ml/kg/min lower than CON) that may have important prognostic implications for their future risk of CVD and mortality.
Predictive modelling of medication adherence in post-myocardial infarction patients: a Bayesian approach using beta-regression
Authors: Tannous Elias Edward , Selitzky Shlomo , Vinker Shlomo , Stepensky David , Schwarzberg Eyal 
Published: October 2024

Abstract

Aims
Predicting medication adherence in post-myocardial infarction (MI) patients has the potential to improve patient outcomes. Most adherence prediction models dichotomize adherence metrics and status. This study aims to develop medication adherence prediction models that avoid dichotomizing adherence metrics and to test whether a simplified model including only 90-days adherence data would perform similarly to a full multi-variable model.

Methods and results
Post-MI adult patients were followed for 1-year post the event. Data from pharmacy records were used to calculate proportion of days covered (PDC). We used Bayesian beta-regression to model PDC as a proportion, avoiding dichotomisation. For each medication group, statins, P2Y12 inhibitors and aspirin, two prediction models were developed, a full and a simplified model. 3692 patients were included for model development. The median (inter-quartile range) PDC at 1-year for statins, P2Y12 inhibitors and aspirin was 0.8 (0.33, 1.00), 0.79 (0.23, 0.99), and 0.79 (0.23, 0.99), respectively. All models showed good fit to the data by visual predictive checks. Bayesian R2 for statins, P2Y12 inhibitors and aspirin models were 61.4%, 71.2%, and 55.2%, respectively. The simplified models showed similar performance compared with full complex models as evaluated by cross validation.

Conclusion
We developed Bayesian multi-level models for statins, P2Y12 inhibitors and aspirin in post-MI patients that handled 1-year PDC as a proportion using the beta-distribution. In addition, simplified models, with 90-days adherence as single predictor, had similar performance compared with full complex models.

Lay summary
Predicting adherence to medications in patients after myocardial infarction may help focusing resources on patients with the highest need for medical attention. Medication adherence is usually calculated from prescription filling data. Most previously published prediction models categorized patients as ‘adherent’ or ‘non-adherent’ and then tried to predict to which category a certain patient would belong. We suggest here a method to avoid the need for such categorisation. This method can successfully predict the extent of prescription filling. Moreover, we found that simple prediction models, needing only information on the first 3 months prescription filling behaviour, was as good as complex models that required many predictors.
Uropathogenic Escherichia coli causes significant urothelial damage in an ex vivo porcine bladder model, with no protective effect observed from cranberry or d-mannose
Authors: Konesan Jenane , Moore Kate H , Mansfield Kylie J , Liu Lu 
Published: October 2024

Abstract
Urinary tract infections (UTIs), primarily caused by uropathogenic Escherichia coli (UPEC), have an unclear impact on bladder mucosal physiology. This study investigates UPEC’s effects on the urothelium and lamina propria using an ex vivo porcine bladder model. Bladder mucosal strips were analysed for contractile responses to acetylcholine, serotonin, and neurokinin A. Given rising antibiotic resistance, non-antibiotic agents such as cranberry and d-mannose were also evaluated for their potential to prevent UPEC-induced damage. The findings of the current study revealed that UPEC significantly compromised urothelial integrity, barrier function, and permeability, with loss of urothelial cells, uroplakins, and tight junction protein ZO-1 expression. Additionally, infected bladders exhibited a markedly enhanced contractile response to serotonin compared to uninfected controls. Notably, neither cranberry nor d-mannose offered protection against UPEC-mediated damage or mitigated the heightened serotonin-induced contractility. This study provides novel insights into how UPEC disrupts bladder cell biology and highlights the possible involvement of serotonin in the pathophysiology of UTIs.
Open Louchébem: Secrecy in the Argot of Paris Butchers
Authors: Saugera Valérie 
Published: October 2024

Abstract
Louchébem, the ancient trade argot of the Paris butchers, is based on a word formation (or rather deformation) process used to disguise French words according to a rule. The butchers did not invent the process but borrowed it from Largonji (a deformation of jargon). Words from this source are attested in the argot of the so-called ‘dangerous classes’, who used it to produce language opaque to the authorities. Louchébem combines a means of secrecy, an opportunity for language play and a tool for constructing craft identity. In this article, I present the linguistic and sociolinguistic details of Louchébem based on primary data collected from 233 traditional butchers. I further investigate secrecy in the modern context, when the key to Louchébem is available on the internet over 150 years after the emergence of the butchers’ argot. My research shows that both internal and external factors influence how secret Louchébem really is.
Dealing with Clashes of International Law: A Microlevel Study of Climate and Trade
Authors: Elsig Manfred , Spilker Gabriele 
Published: October 2024

Abstract
For years, scholars in international relations have addressed questions related to regime complexity and its effects. However, there is a lack of understanding of how individuals react to clashes of international law obligations when assessing domestic policies. In this article, we study the extent to which citizens are concerned with compliance and noncompliance with international law when their governments design domestic laws to implement international obligations. We are, in particular, interested in whether citizens’ reactions to clashes of international obligations are driven by concerns about being exposed internationally for breaching international law or concerns about tangible material costs. Our empirical analysis is based on an experiment embedded in a survey of Swiss citizens’ attitudes toward environmental issues. The experiment first shows that individuals react to both information about compliance as well as noncompliance, whereas the shifts are more notable in the case of negative information about noncompliance. Second, we find that information about the country being subject to international adjudication (what we call exposure costs) in case of noncompliance is more consequential than information about material costs (facing retaliation).