bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antipsychotic drugs in first-episode psychosis: a target trial emulation in the FEP-CAUSAL Collaboration
Authors: Szmulewicz Alejandro G , Martínez-Alés Gonzalo , Logan Roger , Ferrara Maria , Kelly Christian , Fredrikson Diane , Gago Juan , Conderino Sarah , Díaz-Caneja Covadonga M , Galvañ Joaquín , Thorpe Lorna , Srihari Vinod , Yatham Lakshmi , Sarpal Deepak K , Shinn Ann K , Arango Celso , Öngür Dost , Hernán Miguel A , FEP-CAUSAL Collaboration on behalf of the 
Published: April 2024

Abstract
Good adherence to antipsychotic therapy helps prevent relapses in first-episode psychosis (FEP). We used data from the FEP-CAUSAL Collaboration, an international consortium of observational cohorts, to emulate a target trial comparing antipsychotics, with treatment discontinuation as the primary outcome. Other outcomes included all-cause hospitalization. We benchmarked our results to estimates from the European First Episode Schizophrenia Trial, a randomized trial conducted in the 2000s. We included 1097 patients with a psychotic disorder and less than 2 years since psychosis onset. Inverse-probability weighting was used to control for confounding. The estimated 12-month risks of discontinuation for aripiprazole, first-generation agents, olanzapine, paliperidone, quetiapine, and risperidone were 61.5% (95% CI, 52.5-70.6), 73.5% (95% CI, 60.5-84.9), 76.8% (95% CI, 67.2-85.3), 58.4% (95% CI, 40.4-77.4), 76.5% (95% CI, 62.1-88.5), and 74.4% (95% CI, 67.0-81.2), respectively. Compared with aripiprazole, the 12-month risk differences were -15.3% (95% CI, -30.0 to 0.0) for olanzapine, -12.8% (95% CI, -25.7 to -1.0) for risperidone, and 3.0% (95% CI, -21.5 to 30.8) for paliperidone. The 12-month risks of hospitalization were similar between agents. Our estimates support use of aripiprazole and paliperidone as first-line therapies for FEP. Benchmarking yielded similar results for discontinuation and absolute risks of hospitalization as in the original trial, suggesting that data from the FEP-CAUSAL Collaboration sufficed to remove confounding for these clinical questions.
This article is part of a Special Collection on Mental Health.
Characterizing multimorbidity in ALIVE: comparing single and ensemble clustering methods
Authors: Rudolph Jacqueline E , Lau Bryan , Genberg Becky L , Sun Jing , Kirk Gregory D , Mehta Shruti H 
Published: April 2024

Abstract
Multimorbidity, defined as having 2 or more chronic conditions, is a growing public health concern, but research in this area is complicated by the fact that multimorbidity is a highly heterogenous outcome. Individuals in a sample may have a differing number and varied combinations of conditions. Clustering methods, such as unsupervised machine learning algorithms, may allow us to tease out the unique multimorbidity phenotypes. However, many clustering methods exist, and choosing which to use is challenging because we do not know the true underlying clusters. Here, we demonstrate the use of 3 individual algorithms (partition around medoids, hierarchical clustering, and probabilistic clustering) and a clustering ensemble approach (which pools different clustering approaches) to identify multimorbidity clusters in the AIDS Linked to the Intravenous Experience cohort study. We show how the clusters can be compared based on cluster quality, interpretability, and predictive ability. In practice, it is critical to compare the clustering results from multiple algorithms and to choose the approach that performs best in the domain(s) that aligns with plans to use the clusters in future analyses.
Aesthetic Potential and Safety Profile of Nanotextured Breast Implants in 1000 Cases of Breast Augmentation: Evaluation of a Single-Center Experience
Authors: Szychta Pawel 
Published: April 2024

Abstract

Background
Nanotextured implants, an innovation in implant technology, are designed to enhance tissue interaction, reduce inflammation, and mitigate complications of traditional implants.

Objectives
The aim of the study was to evaluate the aesthetic potential and safety profile of nanotextured breast implants in breast augmentation from a single-surgeon experience.

Methods
This prospective cohort study included 1000 patients who underwent breast augmentation with nanotextured implants. Aesthetic outcomes were assessed with direct measurements and BCCT.core software, focusing on breast projection, symmetry, and upper pole fullness. Patient satisfaction was measured with BREAST-Q and overall satisfaction surveys. Safety profiles were evaluated based on the incidence of complications such as infection, hematoma, capsular contracture, and implant rupture. Statistical analyses were conducted to assess the outcomes.

Results
The study found significant improvements in aesthetic outcomes, with 92.8% of cases achieving substantial aesthetic enhancements. Patient satisfaction was high, with 96.4% of patients reporting enhanced self-esteem and contentment. The safety profile was favorable, with a low incidence of complications (0.7% requiring revisional surgery) and no major complications reported. Long-term follow-up data indicated sustained aesthetic outcomes and a stable safety profile.

Conclusions
The synergistic quality of nanotextured implants in relation to the natural breast gland tissue is defined by a significantly wider range of aesthetic options. The findings of this study underscore the positive impact of nanotextured breast implants on enhancing the aesthetic potential of breast augmentation and their contribution to a low incidence of complications.

Level of Evidence: 3
ExplaineR: an R package to explain machine learning models
Authors: Zargari Marandi Ramtin 
Published: April 2024

Abstract

Summary
SHapley Additive exPlanations (SHAP) is a widely used method for model interpretation. However, its full potential often remains untapped due to the absence of dedicated software tools. In response, ExplaineR, an R package to facilitate interpretation of binary classification and regression models based on clustering functionality for SHAP analysis is introduced here. It additionally offers user-interactive elements in visualizations for evaluating model performance, fairness analysis, decision-curve analysis, and a diverse range of SHAP plots. It facilitates in-depth post-prediction analysis of models, enabling users to pinpoint potentially significant patterns in SHAP plots and subsequently trace them back to instances through SHAP clustering. This functionality is particularly valuable for identifying patient subgroups in clinical cohorts, thus enhancing its role as a robust profiling tool. ExplaineR empowers users to generate comprehensive reports on machine learning outcomes, ensuring consistent and thorough documentation of model performance and interpretations.

Availability and implementation
ExplaineR 1.0.0 is available on GitHub (https://persimune.github.io/explainer/) and CRAN (https://cran.r-project.org/web/packages/explainer/index.html).
When Social Workers Are Given Dual Mandates: Child Maintenance and the Complexities of Family Situations in the Ghanaian Child Protection System
Authors: Abdullah Alhassan , Frimpong-Manso Kwabena , Cudjoe Ebenezer , Agbadi Pascal 
Published: April 2024

Abstract
Custodial parents, often single mothers, face challenges regarding child maintenance, including a lack of financial commitments from non-custodial parents for their children’s welfare. The evidence suggests that there is a strong link between child maintenance and poverty as well as other family violence issues. In addition to their primary child and family protection duties, child protection practitioners in Ghana have a mandate to assess child maintenance concerns. This dual responsibility may have the advantage of promoting holistic child and family practices, but it could also negatively impact families when practitioners overly focus on one responsibility at the expense of the other. We sought to understand and show whether families who reported child maintenance concerns to the Department of Social Welfare and Community Development in Ghana experienced challenges beyond child maintenance and whether practitioners identified these primary protection concerns in their assessments. Findings from qualitative in-depth interviews with seventeen parents show that these families experienced domestic violence, marital conflict and child abuse and neglect beyond the scope of a standard child maintenance case. The findings highlight the importance of child protection workers conducting comprehensive family assessments to resolve ‘hidden’ family difficulties when establishing child maintenance arrangements.
Low-Risk Staphylococcus aureus Bacteremia Patients Do Not Require Routine Diagnostic Imaging: A Multicenter, Retrospective, Cohort Study
Authors: Hendriks Marianne M C , Schweren Kris S A , Kleij Ayden , Berrevoets Marvin A H , de Jong Emma , van Wijngaarden Peter , Ammerlaan Heidi S M , Vos Anja , van Assen Sander , Slieker Kitty , Gisolf Jet H , Netea Mihai G , ten Oever Jaap , Kouijzer Ilse J E 
Published: April 2024

Abstract

Background
Stratification to categorize patients with Staphylococcus aureus bacteremia (SAB) as low or high risk for metastatic infection may direct diagnostic evaluation and enable personalized management. We investigated the frequency of metastatic infections in low-risk SAB patients, their clinical relevance, and whether omission of routine imaging is associated with worse outcomes.

Methods
We performed a retrospective cohort study at 7 Dutch hospitals among adult patients with low-risk SAB, defined as hospital-acquired infection without treatment delay, absence of prosthetic material, short duration of bacteremia, and rapid defervescence. Primary outcome was the proportion of patients whose treatment plan changed due to detected metastatic infections, as evaluated by both actual therapy administered and by linking a adjudicated diagnosis to guideline-recommended treatment. Secondary outcomes were 90-day relapse-free survival and factors associated with the performance of diagnostic imaging.

Results
Of 377 patients included, 298 (79%) underwent diagnostic imaging. In 15 of these 298 patients (5.0%), imaging findings during patient admission had been interpreted as metastatic infections that should extend treatment. Using the final adjudicated diagnosis, 4 patients (1.3%) had clinically relevant metastatic infection. In a multilevel multivariable logistic regression analysis, 90-day relapse-free survival was similar between patients without imaging and those who underwent imaging (81.0% versus 83.6%; adjusted odds ratio, 0.749; 95% confidence interval, .373–1.504).

Conclusions
Our study advocates risk stratification for the management of SAB patients. Prerequisites are follow-up blood cultures, bedside infectious diseases consultation, and a critical review of disease evolution. Using this approach, routine imaging could be omitted in low-risk patients.
Acute aortic catastrophe caused by cardiovascular oncological manipulation by tyrosine kinase inhibitors with immune checkpoint blockades: a case report and literature review
Authors: Sultan Sherif , Acharya Yogesh , Donnellan Paul , Hynes Niamh , Kerin Michael , Soliman Osama 
Published: April 2024

Abstract

Background
Tyrosine kinase inhibitors targeting the vascular endothelial growth factor (VEGF) inhibitor pathway with immune checkpoint blockade have shown promising outcomes in managing metastatic renal cancer. However, they increase the risk of a person developing high blood pressure and cardiovascular complications.

Case summary
In this study, we report the case of a 73-year-old woman on axitinib and pembrolizumab for her Stage 4 renal cell carcinoma. She presented with intractable chest pain and high systolic blood pressure, not responding to opiates. Her computed tomography angiography results showed an acute intra-mural haematoma with a rupture in the descending thoracic aorta. She underwent emergency thoracic endovascular aortic repair. Post-operatively, she recovered fully without any neurological or cardiovascular issues.

Discussion
The severity of cardiovascular haemodynamic complications arising from the consumption of VEGF inhibitors and from immunotherapy and the lack of anti-hypertensive strategies to adequately manage such events require an unequivocal and urgent assessment of their cardiovascular safety. This case highlights the crucial role of cardiovascular oncology in managing such acute aortic catastrophes.
Early outcomes after post-cardiotomy extracorporeal membrane oxygenation in paediatric patients: a contemporary, binational cohort study
Authors: Crawford Lachlan , Marathe Supreet P , Betts Kim S , Karl Tom R , Mattke Adrian , Rahiman Sarfaraz , Campbell Isobella , Inoue Takamichi , Nair Harikrishnan , Iyengar Ajay , Konstantinov Igor E ,   ANZCORS Collaborative, Andrews David , Artrip John , Brink Johann , Brizard Christian , Davies Ben , Finucane Kirsten , Johnson Janelle , Liava'a Matt , Nicholson Ian , Patukale Aditya , Venugopal Prem , Alphonso Nelson 
Published: April 2024

Abstract

OBJECTIVES
The aim of this study was to assess the early outcomes and risk factors of paediatric patients requiring extracorporeal membrane oxygenation after cardiac surgery (post-cardiotomy).

METHODS
Retrospective binational cohort study from the Australia and New Zealand Congenital Outcomes Registry for Surgery database. All patients younger than 18 years of age who underwent a paediatric cardiac surgical procedure from 1 January 2013 to 31 December 2021 and required post-cardiotomy extracorporeal membrane oxygenation (PC-ECMO) in the same hospital admission were included in the study.

RESULTS
Of the 12 290 patients included in the study, 376 patients required post-cardiotomy ECMO (3%). Amongst these patients, hospital mortality was 35.6% and two-thirds of patients experienced a major complication. Hypoplastic left heart syndrome was the most common diagnosis (17%). The Norwood procedure and modified Blalock–Taussig shunts had the highest incidence of requiring PC-ECMO (odds ratio of 10 and 6.8 respectively). Predictors of hospital mortality after PC-ECMO included single-ventricle physiology, intracranial haemorrhage and chylothorax.

CONCLUSIONS
In the current era, one-third of patients who required PC-ECMO after paediatric cardiac surgery in Australia and New Zealand did not survive to hospital discharge. The Norwood procedure and isolated modified Blalock–Taussig shunt had the highest incidence of requiring PC-ECMO. Patients undergoing the Norwood procedure had the highest mortality (48%). Two-thirds of patients on PC-ECMO developed a major complication.
Financial inclusion and nutrition among rural households in Rwanda
Authors: Bali Swain Ranjula , Nsabimana Aimable 
Published: April 2024

Abstract
Using Rwandan Integrated Household Living Conditions surveys (2013/2014 and 2016/17), we investigate whether financial inclusion leads to improved nutrition in rural Rwanda. Our empirical evidence shows a robust positive impact of financial inclusion by formal financial institutions, although informal institutions like tontines were ineffective in improving food expenditure or nutrition. Furthermore, the heterogeneous marginal effects of financial inclusion reduce the gender gap between the food expenditure and nutrition of female- and male-headed households. The results, hence, suggest that the country should promote formal financial inclusion to provide wide-ranging welfare effects by improving food security, nutrition and food expenditure in its rural communities.
Combination of the CRAC Channel Inhibitor CM4620 and Galactose as a Potential Therapy for Acute Pancreatitis
Authors: Lewis Siân , Evans David L , Tsugorka Tetyana T , Peng Shuang , Stauderman Ken , Gerasimenko Oleg , Gerasimenko Julia 
Published: April 2024

Abstract
Acute pancreatitis (AP) is a life-threatening inflammatory disease with no specific therapy. Excessive cytoplasmic Ca2+ elevation and intracellular ATP depletion are responsible for the initiation of AP. Inhibition of Ca2+ release–activated Ca2+ (CRAC) channels has been proposed as a potential treatment, and currently, a novel selective CRAC channel inhibitor CM4620 (Auxora, CalciMedica) is in Phase 2b human trials. While CM4620 is on track to become the first effective treatment for AP, it does not produce complete protection in animal models. Recently, an alternative approach has suggested reducing ATP depletion with a natural carbohydrate galactose. Here, we have investigated the possibility of using the smallest effective concentration of CM4620 in combination with galactose. Protective effects of CM4620, in the range of 1-100 n m, have been studied against necrosis induced by bile acids, palmitoleic acid, or l-asparaginase. CM4620 markedly protected against necrosis induced by bile acids or asparaginase starting from 50 n m and palmitoleic acid starting from 1 n m. Combining CM4620 and galactose (1 m m) significantly reduced the extent of necrosis to near-control levels. In the palmitoleic acid-alcohol–induced experimental mouse model of AP, CM4620 at a concentration of 0.1 mg/kg alone significantly reduced edema, necrosis, inflammation, and the total histopathological score. A combination of 0.1 mg/kg CM4620 with galactose (100 m m) significantly reduced further necrosis, inflammation, and histopathological score. Our data show that CM4620 can be used at much lower concentrations than reported previously, reducing potential side effects. The novel combination of CM4620 with galactose synergistically targets complementary pathological mechanisms of AP.
Addressing Cognitive Assessment Disparities Among Hispanic Adults: Adapting the MoCA-SA for Improved Accuracy and Accessibility Among Spanish Speakers
Authors: Piedra Lissette M , Iveniuk James , Howe Melissa J K , Pudelek Kelly , Marquez David X 
Published: April 2024

Abstract

Objectives
Hispanic adults display a higher likelihood of early-stage cognitive decline than their White counterparts yet receive fewer clinical diagnoses. This troubling trend highlights the significance of longitudinal surveys like the National Social Life, Health, and Aging Project (NSHAP) in monitoring cognitive changes in aging Hispanics. Using NSHAP’s Rounds 2 and 3, we observed notable cognitive score differences between English and Spanish speakers, as assessed by the survey-adapted version of the Montreal Cognitive Assessment (MoCA-SA). Our study aims to discern if statistical adjustments can reduce measurement variance in global cognition scores between these language groups.

Methods
We applied modification indexes, 2-parameter item response theory models, and split-sample testing to pinpoint items that exhibit resilience to language-related bias among our Hispanic sample. From this analysis, an abbreviated version of the MoCA-SA, termed MoCA-SAA, was introduced. Subsequently, we juxtaposed the performance and predictive validity of both MoCA versions against four consequential outcomes indicative of cognitive decline.

Results
Our refined methodologies enabled the identification of consistent items across both language cohorts. The MoCA-SAA demonstrated performance and predictive validity in line with the original MoCA-SA concerning outcomes linked to cognitive deterioration.

Discussion
The translated measures ensure the inclusion of Hispanic Spanish speakers in NSHAP, who might otherwise be overlooked. The statistical adjustment outlined in this study offers a means to mitigate potential measurement disparities when assessing overall cognition. Despite these advancements, we acknowledge persistent issues related to the translation of the MoCA-SA into Spanish that warrant further attention.
Joint data and model-driven simultaneous inversion of velocity and density
Authors: Chen Guoxin , Chen Jinxin , Jensen Kristian , Li Chunfeng , Chen Shengchang , Wang Hanchuang , Li Jun , Qi Yuli , Huang Xingguo 
Published: April 2024

SUMMARY
Density is an important parameter for both geological research and geophysical exploration. However, for model-driven seismic inversion methods, high-fidelity density inversion is challenging due to seismic wave traveltime insensitivity to density and crosstalk that density has with velocity. To circumvent the challenge of density inversion, some inversion methods treat density as a constant value or derive density from velocity through empirical equation. On the other hand, deep learning approaches are completely driven by data and have strong target-oriented characteristics, offering a new way to solve multiparameter coupling problems. Nevertheless, the accuracy of the inversion results of data-driven algorithms is directly related to the amount and diversity of the training data, and thus, they lack the universality of model-driven algorithms. To achieve accurate density inversion, we propose a simultaneous inversion algorithm for velocity and density that combines the advantages of data- and model- driven approaches: A neural network model (U-T), combining the U-net and Transformer architectures, is proposed to construct non-linear mappings between seismic data as inputs and the velocity and density as predictions. Next, the model-driven inversion algorithm uses the U-T prediction as the initial model to obtain the final accurate solution. In the model-driven module, envelope-based sparse constrained deconvolution is used to obtain full-band seismic data, while a variable dominant frequency full waveform inversion algorithm is used to perform multiscale inversion, ultimately leading to accurate inversion results of velocity and density. The performance of the algorithm on the Sigsbee2A and Marmousi models demonstrates its effectiveness.
Print Dictionaries Are Still in Use: A Survey of Source Preferences by Polish Translators
Authors: Sycz-Opoń Joanna 
Published: April 2024

Abstract
The study aimed to investigate the sources used by modern translators, specifically whether they use traditional lexicographic tools or diverted their preferences to newer sources of information. Data was collected via an online survey. The sample consisted of 229 mainly Polish translators of various languages and specialisations. It was found that the most frequently used source was the search engine, followed by Wikipedia/similar and online parallel texts. Officially published dictionaries are used often. Moreover, dictionaries were most often cited as the sources that translators could not imagine working without (34% of the total responses); 8% of the responses mentioned printed dictionaries as indispensable in translators’ work and these are used by 87% of the translators who took part in the study. Online dictionaries without a specified author are used by 83% of respondents, but 99% of them verify the content either regularly (50%) or occasionally (49%).