bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research progress and hot spot analysis related to oxidative stress and osteoarthritis: a bibliometric analysis
Authors: Gu Jin-Yu , Han Fei , Chen Si-Yu , Zhang Qing 
Published: May 2023

Abstract
Background
Osteoarthritis, a common degenerative osteochondral disease, has a close relationship between its mechanism of occurrence and oxidative stress. However, there are relatively few relevant studies in this field, and a more mature research system has not yet been formed.

Methods
By searching the Web of Science (WOS) database, we obtained 1 412 publications in the field of osteoarthritis and oxidative stress. The search results were then analyzed bibliometrically using Citespace and VOSviewer, including a study of publication trends in the field, analysis of core authors, analysis of countries and institutions with high contributions, analysis of core journals, and to identify research trends and hot spots in the field, we performed keyword clustering.

Results
We collected 1 412 publications on the field of osteoarthritis and oxidative stress from 1998–2022. By analyzing the publication trends in the field, we noted an exponential increase in the number of publications per year since 2014. We then identified the core authors in the field (Blanco, Francisco J., Loeser, Richard F., Vaamonde-garcia, et.al) as well as the countries (China, USA, Italy et.al) and institutions (Xi An Jiao Tong Univ, Wenzhou Med Univ, Zhejiang Univ et.al). The OSTEOARTHRITIS AND CARTILAGE and INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES contain a large number of research papers in this field, and through keyword co-occurrence analysis, we counted 3 227 keywords appearing in the field of osteoarthritis and oxidative stress. These keywords were clustered into 9 groups, representing 9 different research hotspots.

Conclusions
Research in the field of osteoarthritis and oxidative stress has been developing since 1998 and is now maturing, but there is an urgent need to strengthen international academic exchanges and discuss the future focus of research development in the field of osteoarthritis and oxidative stress.
Comprehensive coordinated community based palliative care (C3PaC) model for cancer patients in North India: a mixed-method implementation research study protocol
Authors: Gupta Mayank , Kankaria Ankita , Sahoo Soumya Swaroop , Bhatnagar Sushma , Kakkar Rakesh , Grewal Anju , Pruthi Gegal , Goyal Lajya Devi 
Published: May 2023

Abstract
Background
Cancer remains an escalating and challenging public health issue. The management, especially palliative care (PC), is disintegrated and out of reach of in need patients. The overall aim of the project is to develop a feasible and scalable Comprehensive Coordinated Community based PC model for Cancer Patients (C3PaC); congruent with socio-cultural, context and unmet needs in north India.

Methods
A mixed method approach will be used for three-phased pre- and post-intervention study in one of the districts of North India, having a high incidence of cancer. During phase I, validated tools will be used for quantitative assessment of palliative needs among cancer patients and their caregivers. Barriers and challenges for provision of palliative care will be explored using in-depth interviews and focus group discussions among participants and health care workers. The findings of phase I along with inputs from national experts and literature review will provide inputs for the development of the C3PAC model in phase II. During phase III C3PAC model will be deployed over a period of 12 months and its impact assessed. Categorical and continuous variables will be depicted as frequency (percentages) and mean ± SD/median (IQR) respectively. Chi-square test/Fischer test, independent samples Student t-tests and Mann–Whitney U tests will be used for categorical, normally and non-normally distributed continuous variables, respectively. Qualitative data will be analyzed using thematic analysis using Atlas.ti 8 software.

Discussion
The proposed model is designed to address the unmet palliative care needs, to empower community-based healthcare providers in comprehensive home-based PC and to improve the quality of life of cancer patients and caregivers. This model will provide pragmatic scalable solutions in comparable health systems particularly in low- and lower-middle Income countries.

Trial registration
The study has been registered with the Clinical Trial Registry-India (CTRI/2023/04/051357).
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning
Authors: Zhou Dejia , Qiu Hang , Wang Liya , Shen Minghui 
Published: May 2023

AbstractBackgroundHeart failure (HF) is a major complication following ischemic heart disease (IHD) and it adversely affects the outcome. Early prediction of HF risk in patients with IHD is beneficial for timely intervention and for reducing disease burden.MethodsTwo cohorts, cases for patients first diagnosed with IHD and then with HF (N = 11,862) and control IHD patients without HF (N = 25,652), were established from the hospital discharge records in Sichuan, China during 2015-2019. Directed personal disease network (PDN) was constructed for each patient, and then these PDNs were merged to generate the baseline disease network (BDN) for the two cohorts, respectively, which identifies the health trajectories of patients and the complex progression patterns. The differences between the BDNs of the two cohort was represented as disease-specific network (DSN). Three novel network features were exacted from PDN and DSN to represent the similarity of disease patterns and specificity trends from IHD to HF. A stacking-based ensemble model DXLR was proposed to predict HF risk in IHD patients using the novel network features and basic demographic features (i.e., age and sex). The Shapley Addictive exPlanations method was applied to analyze the feature importance of the DXLR model.ResultsCompared with the six traditional machine learning models, our DXLR model exhibited the highest AUC (0.934 ± 0.004), accuracy (0.857 ± 0.007), precision (0.723 ± 0.014), recall (0.892 ± 0.012) and F1score (0.798 ± 0.010). The feature importance showed that the novel network features ranked as the top three features, playing a notable role in predicting HF risk of IHD patient. The feature comparison experiment also indicated that our novel network features were superior to those proposed by the state-of-the-art study in improving the performance of the prediction model, with an increase in AUC by 19.9%, in accuracy by 18.7%, in precision by 30.7%, in recall by 37.4%, and in F1score by 33.7%.ConclusionsOur proposed approach that combines network analytics and ensemble learning effectively predicts HF risk in patients with IHD. This highlights the potential value of network-based machine learning in disease risk prediction field using administrative data.
Estimation of health literacy levels in patients with cardiovascular diseases in a Gulf country
Authors: Nair Satish Chandrasekhar , Sreedharan Jayadevan , Vijayan Karthik , Ibrahim Halah 
Published: May 2023

Abstract
Introduction
Cardiovascular diseases (CVDs) are the leading cause of mortality worldwide. In the United Arab Emirates (UAE), the prevalence of deaths associated with CVD is higher than the global average, and the incidence of premature coronary heart disease is 10–15 years earlier than in Western nations. In patients with CVD, inadequate health literacy (HL) is significantly associated with poor health outcomes. The goal of this study is to assess HL levels among patients with CVD in the UAE to develop effective health system strategies for disease prevention and management.

Methods
A nationwide cross-sectional survey to assess HL levels in patients with CVD was conducted between January 2019 and May 2020 in the UAE. The association between health literacy level with patient age, gender, nationality, and education was determined using the Chi-Square test. The significant variables were further analyzed by ordinal regression.

Results
Of 336 participants (86.5% response rate), approximately half 51.5% (173/336) of the respondents were women, and 46% (146/336) of them attained high school level of education. More than 75% (268/336) of the participants were above the age of 50 years. Overall, 39.3% (132/336) of respondents possessed inadequate HL, and 46.4% (156/336) and 14.3% (48/336) demonstrated marginal and adequate HL, respectively. Inadequate health literacy was more prevalent among women, as compared to men. Age was significantly associated with HL levels. Participants under age 50 had higher adequate HL levels 45.6% (31/68), (95% CI (3.8–57.4), P < 0.001). There was no correlation between education and health literacy levels.

Conclusion
The inadequate HL levels found in outpatients with CVD is a major health concern in the UAE. To improve population health outcomes, health system interventions, including targeted educational and behavioral programs for the older population are necessary.
Assessing the cost-effectiveness of waiting list reduction strategies for a breast radiology department: a real-life case study
Authors: Fanizzi Annarita , Graps Elisabetta , Bavaro Domenica Antonia , Farella Marco , Bove Samantha , Campobasso Francesco , Comes Maria Colomba , Cristofaro Cristian , Forgia Daniele La , Milella Martina , Iacovelli Serena , Villani Rossella , Signorile Rahel , De Bartolo Alessio , Lorusso Vito , Massafra Raffaella 
Published: May 2023

Abstract
Background
A timely diagnosis is essential for improving breast cancer patients’ survival and designing targeted therapeutic plans. For this purpose, the screening timing, as well as the related waiting lists, are decisive. Nonetheless, even in economically advanced countries, breast cancer radiology centres fail in providing effective screening programs. Actually, a careful hospital governance should encourage waiting lists reduction programs, not only for improving patients care, but also for minimizing costs associated with the treatment of advanced cancers. Thus, in this work, we proposed a model to evaluate several scenarios for an optimal distribution of the resources invested in a Department of Breast Radiodiagnosis.

Materials and methods
Particularly, we performed a cost-benefit analysis as a technology assessment method to estimate both costs and health effects of the screening program, to maximise both benefits related to the quality of care and resources employed by the Department of Breast Radiodiagnosis of Istituto Tumori “Giovanni Paolo II” of Bari in 2019. Specifically, we determined the Quality-Adjusted Life Year (QALY) for estimating health outcomes, in terms of usefulness of two hypothetical screening strategies with respect to the current one. While the first hypothetical strategy adds one team made up of a doctor, a technician and a nurse, along with an ultrasound and a mammograph, the second one adds two afternoon teams.

Results
This study showed that the most cost-effective incremental ratio could be achieved by reducing current waiting lists from 32 to 16 months. Finally, our analysis revealed that this strategy would also allow to include more people in the screening programs (60,000 patients in 3 years).
Health professionals’ preferences with the use of pegfilgrastim on-body injector at oncology centers in 8 cities in Colombia
Authors: Larrarte-González María Alejandra , Pineda-Posada Mariana , Gaitán Álvaro Andrés , Amaya-Amaya Jenny , Ojeda Kelman 
Published: May 2023

Abstract
Background
Febrile neutropenia associated with some chemotherapy regimens can lead to potentially fatal complications and high health care costs. Administration of pegfilgrastim using an On-Body Injector (OBI) may be more convenient for cancer patients and physicians in countries with limited access to high-complexity healthcare. This study aims to describe physician and nurse preferences regarding different options for administration of pegfilgrastim at cancer centers, the chemotherapy schemes for which pegfilgrastim is most frequently prescribed and how healthcare providers prioritize certain administration schemes according to patients’ access to healthcare services.

Methods
Observational, descriptive, cross-sectional study and survey, conducted between 2019 and 2020, to describe physician and nurse preferences regarding options for administration of pegfilgrastim at cancer centers, the demographics of the study population and characteristics of participating cancer centers. It included 60 healthcare professionals practicing at oncology centers from 8 cities in Colombia who were contacted and surveyed via telephone. Quantitative continuous variables were summarized using central tendency and dispersion measures.

Results
It was found that 35% of participants are haemato-oncologists, oncologists or hematologists, 30% are general practitioners, and 35% are other healthcare professionals (i.e., nurse, oncology nurse and head nurse). Our study shows that 48% of physicians prefer the use of OBI, particularly in the scheme of 24 h after myelosuppressive chemotherapy administrations. Regardless of patient frailty and travel time to the clinic, over 90% of healthcare providers (HCPs) prefer to prioritize preventing the patient from having to return to the clinic for pegfilgrastim administration as well as to increase healthcare staff availability through the use of OBI.

Conclusions
The present study is the first one in Colombia that sought the reasons behind HCPs’ choice to use OBI pegfilgrastim. Our results indicate that most professionals prefer to avoid the patient having to re-enter the care center for pegfilgrastim administration to facilitate access to healthcare for patients; patient characteristics and ease of transport are determining factors for respondents when choosing an option for drug administration. We found OBI is the preferred alternative by most HCPs and a good resource optimization strategy in the context of cancer patients’ health care in Colombia.
A survey of experts on personalized medicine landscape in European Union and China
Authors: Hoxhaj Ilda , Beccia Flavia , Morsella Alisha , Cadeddu Chiara , Ricciardi Walter , Boccia Stefania 
Published: May 2023

Abstract
Introduction
Personalized Medicine (PM) is one of the main priorities of the research agenda of the European Commission and the focus of the European Coordination and Support Action titled “Integrating China into the International Consortium for Personalized Medicine” (IC2PerMed). Similar to the European focus, PM is a current priority of the Chinese Government, through dedicated policies and its five-year investment plans. In the context of IC2PerMed, we implemented a survey to understand the state of the art of the implementation of PM related policies in EU and China, and to identify opportunities for future Sino-European collaborations.

Methods
The survey was elaborated by the IC2PerMed consortium and validated by a focus group of experts. The final version, in English and Chinese, was administered online to a pool of accurately selected experts. Participation was anonymous and voluntary. The survey consists of 19 questions in 3 sections: (1) personal information; (2) policy in PM; (3) facilitating and hindering factors for Sino-European collaboration in PM.

Results
Forty-seven experts completed the survey, 27 from Europe and 20 from China. Only four participants were aware of the implementation of PM-related policies in their working country. Expert reported that PM areas with greatest policy impact so far were: Big Data and digital solutions; citizen and patient literacy; and translational research. The main obstacles found were the lack of shared investment strategies and the limited application of scientific developments in clinical practice. Aligning European and Chinese efforts, finding common ground across cultural, social, and language barriers, were considered as actions needed to enhance efforts in applying PM strategies internationally.

Conclusion
To achieve efficiency and sustainability of health systems, it remains crucial to transform PM into an opportunity for all citizens and patients with the commitment of all the stakeholders involved. The results obtained aim to help define common research and development approaches, standards and priorities and increase collaboration at international level, as well as provide key solutions to enable convergence towards a common PM research, innovation, development and implementation approach between Europe and China.
Mapping emerging technologies in aged care: results from an in-depth online research
Authors: Fasoli Annachiara , Beretta Giorgia , Pravettoni Gabriella , Sanchini Virginia 
Published: May 2023

Abstract
Background
Emerging Technologies (ETs) have recently acquired great relevance in elderly care. The exceptional experience with SARS-CoV-2 pandemic has emphasized the usefulness of ETs in the assistance and remote monitoring of older adults. Technological devices have also contributed to the preservation of social interactions, thus reducing isolation and loneliness. The general purpose of this work is to provide a comprehensive and updated overview of the technologies currently employed in elderly care. This objective was achieved firstly, by mapping and classifying the ETs currently available on the market and, secondly, by assessing the impact of such ETs on elderly care, exploring the ethical values promoted, as well as potential ethical threats.

Methods
An in-depth search was carried out on Google search engine, by using specific keywords (e.g. technology, monitoring techniques, ambient intelligence; elderly, older adults; care and assistance). Three hundred and twenty-eight technologies were originally identified. Then, based on a predetermined set of inclusion-exclusion criteria, two hundreds and twenty-two technologies were selected.

Results
A comprehensive database was elaborated, where the two hundred and twenty-two ETs selected were classified as follows: category; developmental stage; companies and/or partners; functions; location of development; time of development; impact on elderly care; target; website. From an in-depth qualitative analysis, some ethically-related contents and themes emerged, namely: questions related to safety, independence and active aging, connectedness, empowerment and dignity, cost and efficiency. Although not reported by developers, a close analysis of website contents highlights that positive values are often associated with potential risks, notably privacy threats, deception, dehumanization of care.

Conclusions
Research findings may ultimately lead to a better understanding of the impact of ETs on elderly people.
Measurement of unmet healthcare needs to assess progress on universal health coverage - exploring a novel approach based on household surveys
Authors: Ranjan Alok , Thiagarajan Sundararaman , Garg Samir 
Published: May 2023

Abstract
Background
Universal Health Coverage (UHC) aims to ensure universal access to quality healthcare according to health needs. The extent to which population health needs are met should be a key measure for progress on UHC. The indicators in use for measuring access mostly relate to physical accessibility or insurance coverage. Or, utilization of services is taken as indirect measure for access but it is assessed against only the perceived healthcare needs. The unperceived needs do not get taken into account. The present study was aimed at demonstrating an approach for measuring the unmet healthcare needs using household survey data as an additional measure of UHC.

Methods
A household survey was conducted in Chhattisgarh state of India, covering a multi-stage sample of 3153 individuals. Healthcare need was measured in terms of perceived needs which would be self-reported and unperceived needs where clinical measurement supplemented the interview response. Estimation of unperceived healthcare needs was limited to three tracer conditions- hypertension, diabetes and depression. Multivariate analysis was conducted to find the determinants of the various measures of the perceived and unperceived needs.

Results
Of the surveyed individuals, 10.47% reported perceived healthcare needs for acute ailments in the last 15 days. 10.62% individuals self-reported suffering from chronic conditions. 12.75% of those with acute ailment and 18.40% with chronic ailments received no treatment, while 27.83% and 9.07% respectively received treatment from unqualified providers. On an average, patients with chronic ailments received only half the medication doses required annually. The latent need was very high for chronic ailments. 47.42% of individuals above 30 years age never had blood pressure measured. 95% of those identified with likelihood of depression had not sought any healthcare and they did not know they could be suffering from depression.

Conclusion
To assess progress on UHC more meaningfully, better methods are needed to measure unmet healthcare needs, taking into account both the perceived and unperceived needs, as well as incomplete care and inappropriate care. Appropriately designed household surveys offer a significant potential to allow its periodic measurement. Their limitations in measuring the ‘inappropriate care’ may necessitate supplementation with qualitative methods.
The Swedish childhood tumor biobank: systematic collection and molecular characterization of all pediatric CNS and other solid tumors in Sweden
Authors: Díaz de Ståhl Teresita , Shamikh Alia , Mayrhofer Markus , Juhos Szilvester , Basmaci Elisa , Prochazka Gabriela , Garcia Maxime , Somarajan Praveen Raj , Zielinska-Chomej Katarzyna , Illies Christopher , Øra Ingrid , Siesjö Peter , Sandström Per-Erik , Stenman Jakob , Sabel Magnus , Gustavsson Bengt , Kogner Per , Pfeifer Susan , Ljungman Gustaf , Sandgren Johanna , Nistér Monica 
Published: May 2023

AbstractThe Swedish Childhood Tumor Biobank (BTB) is a nonprofit national infrastructure for collecting tissue samples and genomic data from pediatric patients diagnosed with central nervous system (CNS) and other solid tumors. The BTB is built on a multidisciplinary network established to provide the scientific community with standardized biospecimens and genomic data, thereby improving knowledge of the biology, treatment and outcome of childhood tumors. As of 2022, over 1100 fresh-frozen tumor samples are available for researchers. We present the workflow of the BTB from sample collection and processing to the generation of genomic data and services offered. To determine the research and clinical utility of the data, we performed bioinformatics analyses on next-generation sequencing (NGS) data obtained from a subset of 82 brain tumors and patient blood-derived DNA combined with methylation profiling to enhance the diagnostic accuracy and identified germline and somatic alterations with potential biological or clinical significance. The BTB procedures for collection, processing, sequencing, and bioinformatics deliver high-quality data. We observed that the findings could impact patient management by confirming or clarifying the diagnosis in 79 of the 82 tumors and detecting known or likely driver mutations in 68 of 79 patients. In addition to revealing known mutations in a broad spectrum of genes implicated in pediatric cancer, we discovered numerous alterations that may represent novel driver events and specific tumor entities. In summary, these examples reveal the power of NGS to identify a wide number of actionable gene alterations. Making the power of NGS available in healthcare is a challenging task requiring the integration of the work of clinical specialists and cancer biologists; this approach requires a dedicated infrastructure, as exemplified here by the BTB.