bluuebunny/crossref_metadata_2025_split huggingface dataset:
Top 100 most cited articles on Patient Reported Experience Measures (PREM): insights and perspectives
Authors: Attar Asiya , Shukla Kasturi , Mulay Preeti 
Published: September 2024

Abstract
Purpose
Patient experience is fundamental to Patient-Centered Care (PCC). Although prior bibliometric research studies have focused on various aspects of PCC, a comprehensive analysis of PREM articles is required to understand its impact on the clinical practices. This study aims to analyze the top 100 most-cited PREM articles to examine the critical studies and related trends.

Methods
The 100 most cited articles on PREM were gathered from the Web of Science using a combination keyword search approach. The following information was extracted: study design, sample size, topic, number of citations, authorship, country, year of publication, journal title, and dimensions included in these PREM instruments. The VOSviewer software was used to generate graphical bibliometric networks.

Results
The citation count of the top 100 PREM articles varied from 20 to 775 citations. 21 articles had received a minimum of 100 citations. All the articles were in English, and out of these 45% were from the USA. The cross-sectional study (69%) was the most common study design, and the impact of treatment (44%) was the most frequent topic. The common PREM instruments used were customized PREM questionnaires (16%) and HCAHPS (10%).

Conclusion
This bibliometric research showed that the area of PREM is far from being saturated. The authors have attempted to provide an overview of global PREM research. Future research should focus on studies from underdeveloped and developing countries to develop condition–specific PREM tools. Longitudinal researches among special populations and studies in day-care and outpatient settings are recommended in future.
Machine learning-based prediction of new onset of atrial fibrillation after mitral valve surgery
Authors: Andrei Adin-Cristian , Cox James L. , Shah Sanjiv , Malaisrie Sukit Chris , Mehta Christopher , Efimov Igor R. , Churyla Andrei , Kruse Jane , McCarthy Patrick M. 
Published: September 2024

Abstract
Background
New-onset postoperative atrial fibrillation (nPOAF) is a common complication after cardiac surgery (30–50%), being associated with unfavorable long-term outcomes. Using the Society of Thoracic Surgeons National Adult Cardiac Database, we used machine learning (ML) to predict nPOAF and related 30-day outcomes following mitral valve (MV) surgery. A total of 27,856 MV operations were performed at 910 centers between 7/1/2017 and 6/30/2020 on patients without AF or a prior permanent pacemaker. The primary endpoint was nPOAF postoperatively. ML techniques utilized included penalized logistic regression, gradient boosting, decision trees, and random forests.

Results
The overall incidence of nPOAF was 35.4% and that of new pacemaker insertion was 5.6%. Patients who developed nPOAF were older (67 ± 10 vs 60 ± 13 years), had more mitral valve stenosis (14.1% vs 11.7%), and hypertension (72.1% vs 63.3%). They underwent more mitral valve replacement (39.1% vs 32.7%) and coronary artery bypass grafting (23.9% vs 16%). For predicting nPOAF, ML methods offer sensitivity, specificity and precision superior to logistic regression. The accuracy rate was identical with penalized and non-penalized logistic regression (0.672).

Conclusions
Predicting nPOAF and its short-term sequelae following MV surgery remains highly challenging. Machine learning methods offer a moderate degree of improvement in predicting nPOAF even in large national-level studies, in the absence of multi-modal data, such as real-time wearables data, electrocardiograms, heart rhythm monitoring, or cardiac imaging.
The neurophysiology of sensorimotor prosthetic control
Authors: Elbasiouny Sherif M. 
Published: September 2024

AbstractMovement is a central behavior of daily living; thus lost or compromised movement due to disease, injury, or amputation causes enormous loss of productivity and quality of life. While prosthetics have evolved enormously over the years, restoring natural sensorimotor (SM) control via a prosthesis is a difficult problem which neuroengineering has yet to solve. With a focus on upper limb prosthetics, this perspective article discusses the neurophysiology of motor control under healthy conditions and after amputation, the development of upper limb prostheses from early generations to current state-of-the art sensorimotor neuroprostheses, and how postinjury changes could complicate prosthetic control. Current challenges and future development of smart sensorimotor neuroprostheses are also discussed.
Accuracy of self-perceived cardiovascular disease risk and factors predicting risk underestimation in perimenopausal and postmenopausal women in Ismailia, Egypt
Authors: Tawfik Mirella Youssef , Soliman Hanan H. , Abdel-Fatah Zeinab F. 
Published: September 2024

Abstract
Background
Cardiovascular disease (CVD) is the leading cause of death globally, with women at higher risk after menopause. This increased risk is attributed to both aging and hormonal changes. Prior research has established a link between CVD risk perception and adopting healthy behaviors to prevent CVD. This study aimed to assess the accuracy of self-perceived CVD risk in perimenopausal and postmenopausal women, and to identify factors that predict CVD risk underestimation among them.

Methods
A cross-sectional study was conducted in the administrative sectors of Suez Canal University campus in Ismailia, Egypt, over a period of eight months starting in July 2022. A total of 390 eligible women (employees and workers) were randomly selected. Participants were interviewed to obtain data on demographics, medical history, self-perceived risk of CVD, self-perceived general health, awareness of factors that increase the risk of developing CVD, perceived stress, health literacy, numeracy, and self-perceived 10-year risk of developing major cardiovascular events. They also underwent measurements of blood pressure, weight, and height. The updated 2019 WHO/CVD risk non-laboratory-based prediction chart for the North Africa and Middle East Region was used to predict the 10-year risk of major cardiovascular events for the study participants. Risk accuracy was measured by comparing self-perceived CVD risk with predicted CVD risk.

Results
The ratio of self-perceived to predicted moderate/high CVD risk was 27.7% to 44.3%, respectively. The accuracy of CVD risk perception was 68.2%. Kappa analysis results showed fair and significant agreement between self-perceived and predicted CVD risk (kappa ± SE = 35.9 ± 4.1%, p < 0 .001). The proportion of women who underestimated their risks was 24.1%. Of those in the high-risk group, 93.3% underestimated their CVD risk, compared to 50.6% in the moderate-risk group. Factors that significantly predicted CVD risk underestimation included being married (aOR 14.5; 95% CI 1.4-149.9), low income (aOR 2.321; 95% CI 1.09-4.909), high BMI (aOR 4.78; 95% CI 1.9-11.9), hypertension (aOR 3.5; 95% CI 2-6.2), and old age (aOR 1.46; 95% CI 1.3-1.6).

Conclusions
Approximately one-third of our study participants misperceived their CVD risk; of those who did, 75.8% underestimated it. Marital status, old age, low income, high BMI, and hypertension strongly predicted CVD risk underestimation. These findings identified the menopausal women subgroups that could benefit from targeted health interventions designed to reduce CVD risk underestimation and improve risk accuracy.
Anticancer effects of washed-dehydrated solar salt doenjang and its metabolites
Authors: Lee So-Young , Hong Geun-Hye , Park Kun-Young 
Published: September 2024

AbstractIn this study, the anticancer effect of doenjang according to the type of salt was investigated. Three samples were prepared: doenjang made with purified salt, doenjang made with generally manufactured solar salt, and doenjang made with washed and dehydrated solar salt (WDSD). In mice in which colon cancer was induced with azoxymethane/dextran sodium sulfate, doenjang made with solar salt, especially doenjang made with washed and dehydrated solar salt, was found to have a much higher colon cancer inhibition effect. WDSD significantly promoted the mRNA expression of apoptosis-related factors such as Bcl-2–associated X protein (Bax) and caspase 9 and the cell cycle arrest-related factors p53 and p21, and conversely significantly reduced the mRNA expression of apoptosis inhibitors such as B-cell lymphoma-2 (Bcl-2) (p < 0.05). Additionally, metabolites were investigated to determine which substances in WDSD exhibit this anticancer effect. As a result, the contents of isoflavone and soyasaponin B in the form of aglycons such as genistein, daidzein, and glycitein, which are known to have anticancer and anti-inflammatory properties, were found to be significantly high. Therefore, the results confirmed that doenjang prepared with washed and dehydrated solar salt has superior anticancer potential against colon cancer, and that various active ingredients contribute to the improvement of this functionality.
Noninvasive diagnostic value of urinary mir-663a in pediatric lupus nephritis
Authors: Albostany Toulin Mohamed Abdelaziz , Tarek Marwa , Adel Sherihan , Imam Maha , El-Owaidy Rasha , Sallam Dina E. , Ahmed Manal Basyouni 
Published: September 2024

Abstract
Background and objectives
Lupus nephritis (LN) is a severe clinical manifestation seen in individuals with systemic lupus erythematous (SLE). It has a poor long-term prognosis in pediatric patients with high morbidity and mortality rates. MicroRNAs (miRNAs) are noncoding small RNAs that act as epigenetic modulators, regulating gene expression, and modulating the understanding of mechanisms and pathogenesis of human diseases. Depending on bioinformatics analysis, we aimed to investigate urinary expression of miR-663a in LN among SLE children and discriminate between proteinuria of LN versus chronic renal disease without SLE.

Methods
The urinary miR-663a expression levels were estimated in cellular pellets from 15 SLE patients, 15 SLE and biopsy-proven active LN patients, 15 chronic kidney disease (CKD) patients rather than LN and 15 healthy controls.

Results
LN patients had significantly higher urinary miR-663a expression levels compared to other groups (p < 0.0001). Urinary miR-663a at a cutoff of 8.61 had a diagnostic value of 93.3% for LN among pediatric SLE with 100% specificity (p < 0.0001). Moreover, miR-663a was upregulated in advanced grades and LN classes V, IV, and III compared to class II. Furthermore, miR-663a was positively correlated with the duration of SLE, activity index, chronicity index, urinary protein, anti-dsDNA, and SLEDAI score, and negatively correlated with serum complement C3 (p < 0.05).

Conclusion
miR-663a could be related to the pathogenesis of kidney damage in LN; that could provide a specific noninvasive diagnostic and follow -up tool for LN patients.
Post-operative breast imaging: a management dilemma. Can mammographic artificial intelligence help?
Authors: Eissa Menna Allah Gaber , Al-Tohamy Sarah Fathy , Omar Omar Sherif , Salaheldin Lamia Adel 
Published: September 2024

Abstract
Background
Imaging of the postoperative breast is a challenging issue for the interpreting physician with many variable findings that may require additional assessment through targeted ultrasound, more mammography views, or other investigations. Artificial intelligence (AI) is a fast-developing field with various applications in the breast imaging including the detection and classification of lesions, the prediction of therapy response, and the prediction of breast cancer risk. This study aimed to identify whether Artificial Intelligence improves the mammographic detection and diagnosis of breast post-operative changes and hence improves follow-up and diagnostic workflow and reduces the need for additional exposure to extra radiation or contrast material doses as in Contrast Enhanced Mammography, and the need for interventional procedures as biopsy.

Methods
This cross-sectional analytic study included 66 female patients following breast-conserving surgeries coming with breast complaints or for follow-up, with mammographically diagnosed changes.

Results
Mammography had a sensitivity of 91.7%, a specificity of 94.4%, a positive predictive value (PPV) of 78.6%, a negative predictive value (NPV) of 98.1%, and an accuracy of 93.9%, while the AI method indices were sensitivity 91.7%, specificity 92.6%, (PPV) 73.3%, (NPV) 98%, and accuracy 92.4%. The calculated cut-off point for the quantitative AI (probability of malignancy “POM” score) was 51.5%. There was a statistically significantly higher average in the percentage of POM in malignant cases (76.5 ± 27.3%) compared to benign cases (27.1 ± 19.7%). However, the final indices for the combined use of mammography and (AI) were sensitivity 100%, specificity 88.9%, (PPV) 66.7%, (NPV) 100%, and accuracy 90.9%.

Conclusion
Applying the AI algorithm on mammograms showed positive impacts on the sensitivity of the post-operative breast assessment, with an excellent reduction of the mammographic missed cancers.
Review of
Zeugodacus tau
(Walker) (Diptera: Tephritidae): biological characteristics and control strategy
Authors: Liu Xuxiang , Ji Qinge 
Published: September 2024

Abstract

Zeugodacus tau
is an important worldwide quarantine pest. The female adults insert their oviposition tube into the fruit epidermis to lay eggs, and the larvae feed inside the fruit. Therefore, the hazard of
Z. tau
primarily rely on adult egg laying and larval feeding.
Zeugodacus tau
is widely distributed in China and has caused serious economic losses to the industry of fruit and vegetable. Due to the need for a systematic compilation of basic biological knowledge and the increasing economic importance of fruits and vegetables, this paper systematically summarized the distribution and damage, morphological characteristics, biological characteristics and control strategies of
Z. tau
. Basic biological knowledge, such as geographical distribution, host species, the characteristics of its damage, spread, and transmission, characteristics of each insect stage, occurrence generations, growth and development, population dynamics, and living habits, will deepen our understanding of
Z. tau
. Preventive measures, such as risk analysis, prediction of suitable areas and quarantine monitoring, can guide pest prevention for crop production in safe areas. Management measures, such as agricultural control represented by fruit bagging and clean fields, physical and chemical attractants designed and developed by the characteristics of colour, phototaxis and chemotaxis, chemical control based on new green pesticides, biological control supported by predatory and parasitic natural enemies, can fully guide the integrated prevention and control of
Z. tau
. Depending on the size of the planting management area, both broad-area joint prevention and control as well as localized comprehensive management can be flexibly selected. While ensuring economic benefits, it also takes into account the cost input, and is committed to achieving an economically efficient and long-term green control of
Z. tau
.
Inflammatory biomarkers in depression: scoping review
Authors: Paganin Walter , Signorini Sabrina 
Published: September 2024

Background
Inflammation is increasingly recognised as a fundamental component of the pathophysiology of major depressive disorder (MDD), with a variety of inflammatory biomarkers playing pivotal roles. These markers are closely linked to both the severity of symptoms and the responsiveness to treatments in MDD.

Aims
This scoping review aims to explore the scientific literature investigating the complex relationships between inflammatory biomarkers and depression, by identifying new studies and critical issues in current research.

Method
Following the PRISMA Extension for Scoping Reviews guidelines, we systematically searched databases including PubMed, Scopus, PsycINFO, Open Grey and Cochrane Library. Our search focused on articles published from 1 January 2020 to 1 May 2024. We included studies evaluating inflammatory biomarkers in adult patients with MDD, utilising observational and randomised controlled trial designs, and review studies.

Results
Our analysis examined 44 studies on the complex interplay between inflammation and its multiple effects on MDD. Significant associations between specific inflammatory biomarkers and depression severity were found, requiring cautious interpretation. We also highlight several methodological limitations in the current studies, which warrant caution in directly applying these findings to clinical practice. However, identified methodologies show potential for using these biomarkers as diagnostic tools or therapeutic targets, including anti-inflammatory interventions.

Conclusions
The findings emphasise the need for sophisticated, integrative research to understand inflammation's role in MDD. Future studies should identify specific biomarker panels for diagnosing depression and bridging peripheral biomarker measurements with central neuroinflammatory processes, leading to better diagnostic and treatment strategies.
Mortality in patients with major depressive disorder: A nationwide population-based cohort study with 11-year follow-up
Authors: Bitter Istvan , Szekeres Gyorgy , Cai Qian , Feher Laszlo , Gimesi-Orszagh Judit , Kunovszki Peter , El Khoury Antoine C. , Dome Peter , Rihmer Zoltan 
Published: September 2024

Abstract

Background
Major depressive disorder (MDD) is a leading cause of disability and premature mortality. This study compared the overall survival (OS) between patients with MDD and non-MDD controls stratified by gender, age, and comorbidities.

Methods
This nationwide population-based cohort study utilized longitudinal patient data (01/01/2010 – 12/31/2020) from the Hungarian National Health Insurance Fund database, which contains healthcare service data for the Hungarian population. Patients with MDD were selected and matched 1:1 to those without MDD using exact matching. The rates of conversion from MDD to bipolar disorder (BD) or schizophrenia were also investigated.

Results
Overall, 471,773 patients were included in each of the matched MDD and non-MDD groups. Patients with MDD had significantly worse OS than non-MDD controls (hazard ratio [HR] = 1.50; 95% CI: 1.48−1.51; males HR = 1.69, 95% CI: 1.66–1.72; females HR = 1.40, 95% CI: 1.38–1.42). The estimated life expectancy of patients with MDD was 7.8 and 6.0 years less than that of controls aged 20 and 45 years, respectively. Adjusted analyses based on the presence of baseline comorbidities also showed that patients with MDD had worse survival than non-MDD controls (adjusted HR = 1.29, 95% CI: 1.28–1.31). After 11 years of follow-up, the cumulative conversions from MDD to BD and schizophrenia were 6.8 and 3.4%, respectively. Converted patients had significantly worse OS than non-converted patients.

Conclusions
Compared with the non-MDD controls, a higher mortality rate in patients with MDD, especially in those with comorbidities and/or who have converted to BD or schizophrenia, suggests that early detection and personalized treatment of MDD may reduce the mortality in patients diagnosed with MDD.
Effect on Travel Distance of a Statewide Regionalization Policy for Initial Breast Cancer Surgery
Authors: Bickell Nina A. , Nattinger Ann B. , McGinley Emily L. , Schymura Maria J. , Laud Purushottam W. , Pezzin Liliana E. 
Published: September 2024

PURPOSE
Reimbursement strategies to regionalize care can be effective for improving patient outcomes but may adversely affect access to care. We sought to determine the effect on travel distance for surgical treatment of a 2009 New York State (NYS) policy restricting Medicaid reimbursement for breast cancer surgery at low-volume hospitals.

PATIENTS AND METHODS
From a linked data set merging the NYS tumor registry with hospital discharge data, we identified women younger than 65 years with stage I-III first breast tumors from pre- and post-policy periods. We classified patients by urbanicity of their residence into four geographic areas (New York City, other large urban core, suburban/large town, and small town/rural). A multivariable difference-in-difference-in-differences model was used to estimate the policy effect on the distance traveled by Medicaid and non-Medicaid insured patients before and after the policy, by area of residence.

RESULTS

Among the 46,029 study sample, 13.5% were covered by Medicaid. Regardless of insurance, women treated more recently traveled longer distances to their surgical facility than those in the prepolicy period. Regardless of time period, Medicaid beneficiaries drove fewer miles to treatment than women with other insurance. Although all women traveled greater distances postpolicy, the increase was not significantly different by insurance status (Medicaid or not), except for those living in suburban areas in which Medicaid patients traveled further postpolicy (+7.7 miles compared with +3.4 miles for non-Medicaid;
P
= .007).

CONCLUSION
After a policy regionalizing surgical care, only suburban Medicaid patients experienced a statistically significant (albeit small) increase in travel distance compared with non-Medicaid patients. In the state of NY, regionalization of breast cancer care yielded improved outcomes with minimal decrease in access.
Using a Polygenic Risk Score to Improve the Risk Prediction of Non–Small Cell Lung Cancer in Taiwan
Authors: Lee Po-Hsin , Chen I-Chieh , Chen Yi-Ming , Hsiao Tzu-Hung , Tseng Jeng-Sen , Huang Yen-Hsiang , Hsu Kuo-Hsuan , Lin Ho , Yang Tsung-Ying , Shao Yu-Hsuan Joni 
Published: September 2024

PURPOSE
Low-dose computed tomography (LDCT) can help reducing lung cancer mortality. In Taiwan, the existing screening criteria revolve around smoking habits and family history of lung cancer. The role of genetic variation in non–small cell lung cancer (NSCLC) development is increasingly recognized. In this study, we aimed to investigate the potential benefits of polygenic risk scores (PRSs) in predicting NSCLC and enhancing the effectiveness of screening programs.

METHODS
We conducted a retrospective cohort study that included participants without prior diagnosis of lung cancer and later received LDCT for lung cancer screening. Genetic data for these participants were obtained from the project of Taiwan Precision Medicine Initiative. We adopted the model of genome-wide association study-derived PRS calculation using 19 susceptibility loci associated with the risk of NSCLC as reported by Dai et al.

RESULTS

We studied a total of 2,287 participants (1,197 male, 1,090 female). More female participants developed NSCLC during the follow-up period (4.4%
v
2.5%,
P
= .015). The only risk factor of NSCLC diagnosis among male participants was age. Among female participants, independent risk factors of NSCLC diagnosis were age (adjusted hazard ratio [aHR], 1.08 [95% CI, 1.04 to 1.11]), a family history of lung cancer (aHR, 3.21 [95% CI, 1.78 to 5.77]), and PRS fourth quartile (aHR, 2.97 [95% CI, 1.25 to 7.07]). We used the receiver operating characteristics to show an AUC value of 0.741 for the conventional model. With the further incorporation of PRS, the AUC rose to 0.778.

CONCLUSION
The evaluation of PRS for NSCLC prediction holds promise for enhancing the effectiveness of lung cancer screening in Taiwan especially in women. By incorporating genetic information, screening criteria can be tailored to identify individuals at higher risks of NSCLC.