bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sequential Analysis of cfDNA Reveals Clonal Evolution in Patients with Neuroblastoma Receiving ALK-Targeted Therapy
Authors: Bobin Charles , Iddir Yasmine , Butterworth Charlotte , Masliah-Planchon Julien , Saint-Charles Alexandra , Bellini Angela , Bhalshankar Jaydutt , Pierron Gaelle , Combaret Valérie , Attignon Valéry , André Nicolas , Corradini Nadège , Dumont Benoit , Mansuy Ludovic , Khanfar Camille , Klein Sebastien , Briandet Claire , Plantaz Dominique , Millot Frederic , Thouvenin Sandrine , Aerts Isabelle , Ndounga-Diakou Lee Aymar , Laghouati Salim , Abbou Samuel , Jehanno Nina , Tissot Hubert , Renault Shufang , Baulande Sylvain , Raynal Virginie , Bozec Laurence , Bieche Ivan , Delattre Olivier , Berlanga Pablo , Schleiermacher Gudrun 
Published: May 2024

Abstract

Purpose:
The study of cell-free DNA (cfDNA) enables sequential analysis of tumor cell–specific genetic alterations in patients with neuroblastoma.

Experimental Design:
Eighteen patients with relapsing neuroblastoma having received lorlatinib, a third-generation ALK inhibitor, were identified (SACHA national registry and/or in the institution). cfDNA was analyzed at relapse for nine patients and sequentially for five patients (blood/bone marrow plasma) by performing whole-genome sequencing library construction followed by ALK-targeted ddPCR of the hotspot mutations [F1174L, R1275Q, and I1170N; variant allele fraction (VAF) detection limit 0.1%] and whole-exome sequencing (WES) to evaluate disease burden and clonal evolution, following comparison with tumor/germline WES.

Results:
Overall response rate to lorlatinib was 33% (CI, 13%–59%), with response observed in 6/10 cases without versus 0/8 cases with MYCN amplification (MNA). ALK VAFs correlated with the overall clinical disease status, with a VAF &lt; 0.1% in clinical remission, versus higher VAFs (&gt;30%) at progression. Importantly, sequential ALK ddPCR detected relapse earlier than clinical imaging. cfDNA WES revealed new SNVs, not seen in the primary tumor, in all instances of disease progression after lorlatinib treatment, indicating clonal evolution, including alterations in genes linked to tumor aggressivity (TP53) or novel targets (EGFR). Gene pathway analysis revealed an enrichment for genes targeting cell differentiation in emerging clones, and cell adhesion in persistent clones. Evidence of clonal hematopoiesis could be observed in follow-up samples.

Conclusions:
We demonstrate the clinical utility of combining ALK cfDNA ddPCR for disease monitoring and cfDNA WES for the study of clonal evolution and resistance mechanisms in patients with neuroblastoma receiving ALK-targeted therapy.
Biodegradable Polymer Versus Polymer-Free Ultrathin Sirolimus-Eluting Stents: Analysis of the Stent Arm Registry From the HOST-IDEA Randomized Trial
Authors: Han Jung-Kyu , Yang Seokhun , Hwang Doyeon , Park Sang-Hyeon , Kang Jeehoon , Yang Han-Mo , Park Kyung Woo , Kang Hyun-Jae , Koo Bon-Kwon , Cho Jin-Man , Cho Janghyun , Bang Duk Won , Lee Jae-Hwan , Lee Han Cheol , Kim Kyung-Jin , Chun Woo Jung , Seo Won-Woo , Park Woo-Jung , Park Sang Min , Kim Jin Won , Kim Hyo-Soo 
Published: May 2024

BACKGROUND:
The efficacy and safety of each third-generation drug-eluting stent with ultrathin struts and advanced polymer technology remain unclear. We investigated the clinical outcomes of percutaneous coronary intervention using the Coroflex ISAR polymer-free sirolimus-eluting stent (SES) or Orsiro biodegradable polymer SES.

METHODS:
The HOST-IDEA trial (Harmonizing Optimal Strategy for Treatment of Coronary Artery Stenosis–Coronary Intervention With Next-Generation Drug-Eluting Stent Platforms and Abbreviated Dual Antiplatelet Therapy), initially designed with a 2×2 factorial approach, sought to randomize patients undergoing percutaneous coronary intervention based on dual antiplatelet therapy duration (3 versus 12 months) and stent type (Coroflex ISAR versus Orsiro). Despite randomizing 2013 patients for dual antiplatelet therapy duration, the stent arm transitioned to a registry format during the trial. Among these, 328 individuals (16.3%) were randomized for Coroflex ISAR or Orsiro SES, while 1685 (83.7%) underwent percutaneous coronary intervention without stent-type randomization. In this study, the Coroflex ISAR (n=559) and Orsiro groups (n=1449) were matched using a propensity score. The prespecified primary end point was target lesion failure, a composite of cardiac death, target vessel myocardial infarction, and clinically driven target lesion revascularization at 12 months.

RESULTS:

The baseline patient and procedural characteristics were well balanced between the Coroflex ISAR and Orsiro groups after propensity score matching (n=559, each group). The Coroflex ISAR group was significantly associated with a higher rate of target lesion failure, mainly driven by clinically driven target lesion revascularization, compared with the Orsiro group (3.4% versus 1.1%; hazard ratio, 3.21 [95% CI, 1.28–8.05];
P
=0.01). A higher risk of target lesion failure in the Coroflex ISAR group was consistently observed across various subgroups. The rates of any bleeding (hazard ratio, 0.85 [95% CI, 0.51–1.40];
P
=0.52) and major bleeding (hazard ratio, 1.58 [95% CI, 0.61–4.08];
P
=0.34) were comparable between the 2 groups.

CONCLUSIONS:
In this propensity score-matched analysis of the stent arm registry from the HOST-IDEA trial, the Orsiro SES was associated with significantly better outcomes in terms of 1-year target lesion failure, mainly driven by clinically driven target lesion revascularization, than the Coroflex ISAR SES.

REGISTRATION:

URL:
https://www.clinicaltrials.gov
; Unique identifier: NCT02601157.
Catholic Women as Subjects of Debate
Authors: Huygens Eline , van den Brandt Nella 
Published: May 2024

Abstract
Through the analysis of empirical material that discusses women’s positions in religion in Flanders/Belgium, this article shows how local religion/secular dynamics are co-constituted by issues of race and gender. Starting from the premise that religious women’s (self-)positioning must be understood from a critical perspective on both secularity and race, we show how a.) mainstream secular and racialising discourses aim to discipline various religious subjects by using questions of gender justice, and b.) ethnically mainstream young Catholic women partially resist this by distinguishing themselves from religio-racialised others and producing whiteness. Based on our analysis, we argue for taking women’s self-positioning towards religious others seriously as shaping a gendered religio-racialised location. Thinking through the production of a gendered religio-racialised location reveals how white Christian normativity depends on performativity and is a gendered construct. As such, we demonstrate the need for further investigations of the co-constructions of race, religion and gender focusing on the perspectives and positions of those normally excluded from these critical discussions, namely ethnic majority Christians in Europe.
The Meteorology of the August 2023 Maui Wildfire
Authors: Mass Clifford , Ovens David 
Published: May 2024

Abstract
On 8 August 2023, a wind-driven wildfire pushed across the city of Lahaina, located in West Maui, Hawaii, resulting in at least 100 deaths and an estimated economic loss of 4–6 billion dollars. The Lahaina wildfire was associated with strong, dry downslope winds gusting to 31–41 m s−1 (60–80 kt; 1 kt ≈ 0.51 m s−1) that initiated the fire by damaging power infrastructure. The fire spread rapidly in invasive grasses growing in abandoned agricultural land upslope from Lahaina. This paper describes the synoptic and mesoscale meteorology associated with this event, as well as its predictability. Stronger-than-normal northeast trade winds, accompanied by a stable layer near the crest level of the West Maui Mountains, resulted in a high-amplitude mountain-wave response and a strong downslope windstorm. Mesoscale model predictions were highly accurate regarding the location, strength, and timing of the strong winds. Hurricane Dora, which passed approximately 1300 km to the south of Maui, does not appear to have had a significant impact on the occurrence and intensity of the winds associated with the wildfire event. The Maui wildfire was preceded by a wetter-than-normal winter and near-normal summer conditions.

Significance Statement
The 2023 Maui wildfire was one of the most damaging of the past century, with at least 100 fatalities. This paper describes the meteorological conditions associated with the event and demonstrates that excellent model forecasts made the threat foreseeable.
Preoperative Risk Factors for Discharge to Facility After Surgery in Geriatric Patients
Authors: Abbitt Danielle , Choy Kevin , Robinson Thomas N. , Jones Edward L. , Horney Carolyn , Sommerville Shala , Jones Teresa S. 
Published: May 2024

Background The Geriatric Surgery Verification Program (GSV) was developed to address perioperative care for patients ≥75 years, with a goal of improving outcomes and functional abilities after surgery. We sought to evaluate preoperative factors that place patients at risk for inability to return home (ie, discharge to a facility). Methods Retrospective review of patients ≥75 years old who underwent inpatient surgery from January 2018 to December 2022 at a referral Veterans Administration Medical Center enrolled in the GSV program. Preoperative factors included fall history, mobility aids, housing status, function, cognition, and nutritional status. Postoperative outcomes were discharge designations as home and home with services compared to a facility (skilled nursing facility and acute rehab). Exclusion criteria included preoperative facility residence, cardiac surgery, hospital transfer, postoperative complications, hospice discharge, or in-hospital mortality. Results 605 patients met inclusion criteria and 173 (29%) excluded as above. Of the remaining 432 patients, mean age was 79 ± 5 and the majority were male, 426 (99%). The majority of patients were discharged home, 388 (90%), compared to a facility, 44 (10%). Patients with a fall history (OR: 2.95, 95% CI: 1.56, 5.57), utilizing a mobility aid (OR: 6.0, 95% CI: 2.8, 12.83), were partial or totally dependent (OR: 4.83, 95% CI: 2.29, 10.17), or who lived alone (OR: 2.57, 95% CI: 1.08, 6.07) had higher rates of discharge to a facility. Discussion Preoperative mobility compromise and functional dependence are associated with higher rates of discharge to a facility. These preoperative factors are possibly modifiable with multidisciplinary care teams to decrease risks of facility placement.
Using active cooling/heating for 1C1R grey-box model parameter identification in an actual environment: A proof-of-concept study
Authors: Takahashi Atsushi , Hokari Hiroaki , Doi Mamoru , Yoshikawa Nobuyuki , Mariyama Toshisada , Ueda Naonori , Hirai Norio 
Published: May 2024

A model predictive control (MPC) has been important method for managing both comfort and energy saving in heating, ventilation, and air conditioning (HVAC) problems. However, recent data-driven models for MPC, relying on extensive training data, pose challenges for practical implementation in real-world thermal environments due to their time-consuming nature. The grey-box approach, utilizing a simple RC model as a thermal environment proxy, is well known for its data efficiency. Nevertheless, numerical instability arising from the multi-collinearity of observed data can degrade the model’s time efficiency. To deal with this issue, we propose and implement a rapid and stable parameter identification method that integrates active cooling-heating within the actual thermal environment. Our method requires only a single day of data to estimate basic RC model parameters, allowing for immediate use of the RC model in MPC as soon as an air conditioner is installed. Practical Application Using a grey-box model for MPC in HVAC systems is efficient, but the multicollinearity problem of observed data undermines its time efficiency. Our method deals with this challenge by enabling immediate model parameter identification with just 1 day’s data, incorporating active cooling-heating. We demonstrate it in an actual thermal environment. The high level of time and data efficiency afforded by our method is particularly beneficial for IoT applications like malfunction detection and adaptive room reparameterization associated with room rearrangement.
Computer-Based Training for Cognitive Behavioural Therapy for Substance Use Disorder: A Randomized Controlled Trial Including Quantitative and Qualitative Health and Economic Outcomes: Formation informatisée pour la thérapie cognitivo-comportementale pour les troubles liés à l'usage de substances : un essai randomisé contrôlé y compris les résultats quantitatifs et qualitatifs en matière de santé et d’économie
Authors: Patel Alina , Corman Michael , de Oliveira Claire , Mason Joyce , Somé Nibene , Downie Danielle , Jain Esha , Patterson Michelle , Cunningham John A. , George Tony P. , Le Foll Bernard , Quilty Lena C. 
Published: May 2024

Objectives Heavy alcohol and drug use is reported by a substantial number of Canadians; yet, only a minority of those experiencing substance use difficulties access specialized services. Computer-Based Training for Cognitive Behavioural Therapy (CBT4CBT) offers a low-cost method to deliver accessible and high-quality CBT for substance use difficulties. To date, CBT4CBT has primarily been evaluated in terms of quantitative outcomes within substance use disorder (SUD) samples in the United States. A comparison between CBT4CBT versus standard care for SUDs in a Canadian sample is critical to evaluate its potential for health services in Canada. We conducted a randomized controlled trial of CBT4CBT versus standard care for SUD. Methods Adults seeking outpatient treatment for SUD ( N = 50) were randomly assigned to receive either CBT4CBT or treatment-as-usual (TAU) for 8 weeks. Measures of substance use and associated harms and quality of life were completed before and after treatment and at 6-month follow-up. Qualitative interviews were administered after treatment and at follow-up, and healthcare utilization and costs were extracted for the entire study period. Results Participants exhibited improvements on the primary outcome as well as several secondary outcomes; however, there were no differences between groups. A cost-effectiveness analysis found lower healthcare costs in CBT4CBT versus TAU in a subsample analysis, but more days of substance use in CBT4CBT. Qualitative analyses highlighted the benefits and challenges of CBT4CBT. Discussion Findings supported an overall improvement in clinical outcomes. Further investigation is warranted to identify opportunities for implementation of CBT4CBT in tertiary care settings. Trial Registration: https://clinicaltrials.gov/ct2/show/NCT03767907
Medical Education Technology: Past, Present and Future
Authors: Chowdhury Plaban Nath , Vaish Abhishek , Puri Bipin , Vaishya Raju 
Published: May 2024

Background and Aims: Medical Education Technology has witnessed significant transformation over the years, largely influenced by advancements in technology. From traditional lecture-based teaching to the integration of multimedia tools and virtual simulations, the landscape of medical education has evolved to meet the needs of learners in an ever-changing healthcare environment. Objectives: To explore the evolution of Medical Education Technology, highlighting key milestones from the past, assessing the current state of technology integration in medical education, and envisioning future trends and challenges. Methods: A comprehensive review of the literature was conducted to examine the historical progression of Medical Education Technology. Results: The review revealed a notable evolution in Medical Education Technology, from early implementations of multimedia tools to the widespread adoption of online platforms and virtual simulations. Conclusions: Medical Education Technology has evolved significantly from past innovations to the present integration of virtual platforms. Looking ahead, future advancements promise to further revolutionise medical education, ensuring better preparation of healthcare professionals for the challenges of modern practice.
The Impact of Climate Change and Natural Disasters on Pakistan's GDP Growth: An ARDL Analysis
Authors: Wu Shengwen , Liu Xuefeng , Ali Asma Muhammad , Awan Abdul Ghafoor 
Published: May 2024

The main objective of this study is to determine the impact of climate change and natural disasters on GDP growth rate. In order to examine long run association between climate change, natural disasters and GDP, an Auto Regressive Distributed Lag (ARDL) model and correlation matrix were employed, using 20 years data spanning from 2001 to 2021. The focus of the study was to investigate into how CO2 emission causes climate change and climate change, in turn, causes natural disasters and, in turn, natural disasters cause human and crop losses as well as high inflation. The empirical evidence reveals that climate change, CO2 emissions and natural disasters have negative association with GDP because natural disasters in the shape of earthquakes, heavy rains, and floods cause huge human and crop losses, have negative impact on GDP. The variables, agriculture production and employment, have positive and significant association with GDP growth because increase in agriculture production and employment will definitely have significant and positive impact on GDP growth in the long run. The study suggests to build resilient technologies to cope with climate change, control CO2 emissions and inflation as these three variables have negative impact on GDP growth in the long run. This study significantly contributes by highlighting the link between climate change and natural disasters and their consequential negative impact on GDP growth.
A fast calculation method for internal blast shock wave in confined structures
Authors: Yao Shujian , Wang Yanjing , Hu Yutao , Zhang Duo 
Published: May 2024

Internal explosions are more complicated and destructive than external explosions. It is hard to give accurate predictions of the internal blast load by existing simplified models. In the present work, a fast calculation method for the shock wave of internal blast within a confined space was developed. Firstly, the theoretical bases of this method, the reflection addition rules and the image burst theory, were introduced and validated. Then, the concept of the influence region of image burst for internal blast calculation was proposed, and the detailed calculation method for internal blast load was presented. In addition, the internal blast loads inside a typical cubic structure and a tunnel model were calculated using this developed method, respectively. Moreover, comparison studies between the calculated results and experimental data as well as numerical simulation results were conducted. It was found that the results of the fast calculation model are in good agreement with those of the blast experiment and fine numerical simulation, but the fast calculation takes only less than 2 min. Finally, the advantages and defects of the present method were discussed and further study advices were suggested to improve the accuracy.
Predicting fracture risk for elderly osteoporosis patients by hybrid machine learning model
Authors: Liu Menghan , Wei Xin , Xing Xiaodong , Cheng Yunlong , Ma Zicheng , Ren Jiwu , Gao Xiaofeng , Xu Ajing 
Published: May 2024

Background and Objective Osteoporotic fractures significantly impact individuals's quality of life and exert substantial pressure on the social pension system. This study aims to develop prediction models for osteoporotic fracture and uncover potential risk factors based on Electronic Health Records (EHR). Methods Data of patients with osteoporosis were extracted from the EHR of Xinhua Hospital (July 2012–October 2017). Demographic and clinical features were used to develop prediction models based on 12 independent machine learning (ML) algorithms and 3 hybrid ML models. To facilitate a nuanced interpretation of the results, a comprehensive importance score was conceived, incorporating various perspectives to effectively discern and mine critical features from the data. Results A total of 8530 patients with osteoporosis were included for analysis, of which 1090 cases (12.8%) were fracture patients. The hybrid model that synergistically combines the Support Vector Machine (SVM) and XGBoost algorithms demonstrated the best predictive performance in terms of accuracy and precision (above 90%) among all benchmark models. Blood Calcium, Alkaline phosphatase (ALP), C-reactive Protein (CRP), Apolipoprotein A/B ratio and High-density lipoprotein cholesterol (HDL-C) were statistically found to be associated with osteoporotic fracture. Conclusions The hybrid machine learning model can be a reliable tool for predicting the risk of fracture in patients with osteoporosis. It is expected to assist clinicians in identifying high-risk fracture patients and implementing early interventions.
Oral health in systemic sclerosis: A scoping review
Authors: Gagarine Maria , Cañedo-Ayala Mara , Cook Vanessa , Discepola Marie-Nicole , Guillot Genevieve , Leader David M , Lim Mathew AWT , Yap Tami , Furst Daniel E , Gietzen Amy , Lapointe McKenzie Jo-Ann , Van Pelt Shelley , Vidiricaire Louise , Carrier Marie-Eve , Krishnan Ankur , Tao Lydia , Kwakkenbos Linda , Thombs Brett D 
Published: May 2024

Background: Limited research on oral health in systematic sclerosis poses a significant challenge for people with systematic sclerosis and health care professionals. We conducted a scoping review to map existing research on oral health–related quality of life in systematic sclerosis across domains including (1) oral manifestations or symptoms, (2) functional consequences, (3) psychosocial aspects, (4) associated patient factors and (5) self-care and management considerations. Methods: We searched MEDLINE, EMBASE, SCOPUS and CINAHL databases to 10 March 2023 for studies on oral health in people with systematic sclerosis. Study data were mapped into pre-specified domains of oral health–related quality of life, subtopics and types of research and reported in tabular form. Results: Of 1460 unique studies reviewed, 91 were eligible and included in the scoping review; of these, 69 (76%) were published as full-text versions, 72 (79%) were from Europe or North America, and 63 (69%) included ⩽50 participants. Only 1 study had >200 participants (N = 382). By domains, 85 (93%) studies reported aspects of oral manifestations or symptoms, with the most common subtopics being oral opening and mandibular function, sicca, periodontitis and soft tissue changes and pathology; 36 (40%) studies provided information on associated patient factors, 23 (25%) on self-care and management, 19 (21%) on psychosocial aspects and 6 (7%) on functional consequences. No studies related to interventions included >50 participants. Conclusion: Most studies on oral health in systematic sclerosis report on manifestations or symptoms, and there are relatively few studies on other important domains. Most studies have been conducted with small samples. Updated systematic reviews should evaluate the quality of existing evidence in domains where enough studies have been done. Large, well-conducted primary studies are needed to address knowledge gaps across domains, including studies that test approaches for supporting oral self-care, improving routine professional care and addressing major disability-causing manifestations.