bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trends in the application of metal Nanobiomaterials in cancer therapy clinical trials
Authors: Yun Zhengcheng , Wei Junfan 
Published: November 2024

BackgroundCancer is recognized as a major public health problem worldwide, which brings a large number of deaths and serious economic burden. Traditional cancer treatments generally have problems such as limited application, large side effects, and drug resistance. With the rise of nanomedicine technology, its unique advantages in precision drug delivery, imaging sensitivity, assisted drug release, and enhanced drug properties have brought new hope to cancer patients. These therapies, including photothermal therapy, drug delivery, and immunotherapy, use various nanoparticles such as gold and iron-oxide to improve targeted treatment and reduce side effects. The increasing interest in sustainable NP production and safety concerns has driven new research into biocompatible and eco-friendly methods. This study aims to analyze the current research status and global trends in cancer therapy using nanoparticles through a bibliometric analysis.MethodsThe Web of Science Core Collection database was searched for publications related to NP-based cancer therapies from January 1995 to December 2023. A bibliometric analysis was conducted using using Bibliometrix Online Analysis Platform, HistCite Pro 2.1, VOSviewer version 1.6.20 and RStudio version 4.3.1, covering metrics like the number of publications, citations, countries, institutions, journals, authors, references, and keywords.ResultsA total of 452 articles published in 233 journals. The number of publications on clinical cancer therapy with metal Nanomaterials has shown consistent annual growth. China and Chinese Academy of Sciences were the leading country and institution contributing to this field, respectively. The most prolific author was Zangeneh Mohammad Mahdi, and Biomaterials was the most prolific journal. Key research hotspots identified include keywords such as “gold nanoparticles”, “delivery”, “drug delivery,” “green synthesis,” and “cytotoxicity.”ConclusionThis is one of the first studies to perform a bibliometric analysis and visualization of publications onclinical cancer therapy with metal Nanomaterials, offering valuable insights for researchers. Future studies should focus on enhancing the efficacy, biocompatibility, and sustainable synthesis of nanoparticles, with an emphasis on their use in personalized medicine and photodynamic therapy.
The impact of ultra-processed foods and unprocessed or minimally processed foods on the quality of life among adolescents: a longitudinal study from China
Authors: Yang Yuke , Gao Yan , Yi Xiangren , Hu Yining , Zhao Liangyu , Chen Lu , Sui Wenze , Zhang Shuoqin , Ma Sen 
Published: November 2024

IntroductionThe purpose of this study was to explore the associations between ultra-processed foods (UPF), unprocessed or minimally processed foods (UMFs) with the quality of life (QoL) in Chinese adolescents.MethodsThe study included a baseline survey in 2021 (T1) and a follow-up survey in 2022 (T2), with a total of 3,206 participants, including 1,510 males (Age ± SE: 13.62 ± 1.69) and 1,696 females (Age ± SE: 14.09 ± 1.85). QoL was measured using the Quality of Life Scale for Children and Adolescents. All adolescents were asked to recall the foods they had eaten in the past week, which was classified using the NOVA system.ResultsInstant noodles, sugary drinks, and fried foods had a negative impact on adolescents’ QoL. Snacks or desserts only had a negative impact on the girls’ QoL. However, processed meats had a positive impact on the QoL of all adolescents. Fast food was beneficial for girls’ QoL. Fruits had a positive impact on the QoL of all adolescents. Green leafy vegetables, red and orange vegetables, fish, shrimp, or other seafood had a positive impact on the QoL of girls. Fresh poultry, pork, beef, and other meats had a positive impact on boys’ QoL. Soy products were detrimental to girls’ QoL. Tubers had a negative impact on boys’ QoL. Potatoes had a negative effect on the all adolescents’ QoL.DiscussionThis study further expands the understanding of the relationship between UPF, UMFs, and QoL. It provides new insights and evidence for improving the QoL of adolescents.
Association between polyunsaturated fatty acid intake and estradiol levels among U.S. women
Authors: Guo Lange , Nan Yukui , Liang Kangni , Yao Lizhong , Li Jiuzhi 
Published: November 2024

BackgroundPolyunsaturated fatty acids (PUFAs) play a crucial role in maintaining homeostasis in the body. However, research on the relationship between PUFA intake and estradiol levels is limited. This study aims to investigate the association between dietary PUFA intake and estradiol levels in women in the United States.MethodData on PUFA intake and estradiol levels were drawn from the 2013–2016 National Health and Nutrition Examination Survey (NHANES) for women aged 20 and older. UFA intake was assessed through 24-h dietary interviews, while serum estradiol levels were measured using isotope dilution liquid chromatography–tandem mass spectrometry (ID-LC–MS/MS). Weighted logistic regression models adjusted for covariates were used to analyze the relationship between PUFA intake and estradiol levels. The inflection point of the non-linear relationship between intake of PUFAs and estradiol levels was determined by threshold effects analysis, and a two-part regression model was developed at the inflection point.ResultWeighted multivariate linear regressions showed positive associations between eicosapentaenoic acid (EPA) and docosapentaenoic acid (DPA) intake and estradiol levels. Even in the fully adjusted model, EPA intake remained positively associated with estradiol levels in the menopausal (β = 78.08, 95% CI: 33.58, 122.58; p = 0.0006), non-menopausal (β = 287.61, 95% CI: 177.29, 397.94; p &lt; 0.0001), and total-participant groups (β = 208.38, 95% CI: 139.81, 276.95; p &lt; 0.0001), and DPA intake remained positively associated with estradiol levels in the non-menopausal (β = 318.87, 95% CI: 28.93, 608.82; p = 0.0313) and total-participant groups (β = 208.03, 95% CI: 22.89, 393.18; p = 0.0277). In the two-part regression model, EPA intake greater than 0.09 (p &lt; 0.0001) and DPA intake greater than 0.05 (p = 0.0033) were positively associated with estradiol levels in non-menopausal women.ConclusionThis study suggests that higher intake of EPA and DPA in non-menopausal women is associated with increased estradiol levels. These findings support the importance of dietary components in regulating female reproductive health and hormone levels.
Clinicopathological significance and prognostic values of claudin18.2 expression in solid tumors: a systematic review and meta-analysis
Authors: Park Gyerim , Park Se Jun , Kim Younghoon 
Published: November 2024

ObjectiveClaudin18.2 has been established as a putative therapeutic target in human solid malignancies. The aim of this study is to determine claudin18.2 expression as a clinicopathological and prognostic factor in human solid tumors through a systematic review and meta-analysis. Articles were systematically reviewed for studies that included the correlation between claudin18.2 expression and clinicopathological features and prognosis in solid tumors. Meta-analysis was conducted to estimate either odds ratio and 95% confidence intervals (CIs) of clinicopathological factors or hazard ratio and 95% CIs of survival outcomes for claudin18.2 expression in all available solid tumors.Results21 studies including 5,331 patients were identified. Overall proportion of claudin18.2 positivity was 29.7%. Analyses of clinicopathological features demonstrated that claudin18.2 positivity correlated with male predominance, lower T stage, more frequent MUC5AC positivity when all primary tumors included. In subgroup analysis, gastric cancer showed significant correlation between high claudin18.2 expression and frequent EBV infection, male predominance and lower T stage. In lung cancer, claudin18.2 expression was associated with favorable overall survival. However, analyses of survival outcomes in all solid tumors showed that claudin18.2 expression was not associated with overall survival and pooled disease-free survival, tumor-specific survival, progression-free survival and relapse-free survival.ConclusionsOur study emphasizes evaluation of claudin18.2 expression as a potential prognostic factor in lung adenocarcinoma and further exploration in other solid tumors as well.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD42023468651.
Exploring machine learning algorithms to predict acute respiratory tract infection and identify its determinants among children under five in Sub-Saharan Africa
Authors: Yehuala Tirualem Zeleke , Fente Bezawit Melak , Wubante Sisay Maru , Derseh Nebiyu Mekonnen 
Published: November 2024

BackgroundThe primary cause of death for children under the age of five is acute respiratory infections (ARI). Early predicting acute respiratory tract infections (ARI) and identifying their predictors using supervised machine learning algorithms is the most effective way to save the lives of millions of children. Hence, this study aimed to predict acute respiratory tract infections (ARI) and identify their determinants using the current state-of-the-art machine learning models.MethodsWe used the most recent demographic and health survey (DHS) dataset from 36 Sub-Saharan African countries collected between 2005 and 2022. Python software was used for data processing and machine learning model building. We employed five machine learning algorithms, such as Random Forest, Decision Tree (DT), XGBoost, Logistic Regression (LR), and Naive Bayes, to analyze risk factors associated with ARI and predict ARI in children. We evaluated the predictive models’ performance using performance assessment criteria such as accuracy, precision, recall, and the AUC curve.ResultIn this study, 75,827 children under five were used in the final analysis. Among the proposed machine learning models, random forest performed best overall in the proposed classifier, with an accuracy of 96.40%, precision of 87.9%, F-measure of 82.8%, ROC curve of 94%, and recall of 78%. Naïve Bayes accuracy has also achieved the least classification with accuracy (87.53%), precision (67%), F-score (48%), ROC curve (82%), and recall (53%). The most significant determinants of preventing acute respiratory tract infection among under five children were having been breastfed, having ever been vaccinated, having media exposure, having no diarrhea in the last two weeks, and giving birth in a health facility. These were associated positively with the outcome variable.ConclusionAccording to this study, children who didn't take vaccinations had weakened immune systems and were highly affected by ARIs in Sub-Saharan Africa. The random forest machine learning model provides greater predictive power for estimating acute respiratory infections and identifying risk factors. This leads to a recommendation for policy direction to reduce infant mortality in Sub-Saharan Africa.
Fetal gestational age prediction via shape descriptors of cortical development
Authors: Ciceri Tommaso , Squarcina Letizia , Bertoldo Alessandra , Brambilla Paolo , Melzi Simone , Peruzzo Denis 
Published: November 2024

IntroductionGyrification is the intricate process through which the mammalian cerebral cortex develops its characteristic pattern of sulci and gyri. Monitoring gyrification provides valuable insights into brain development and identifies potential abnormalities at an early stage. This study analyzes the cortical structure in neurotypical and pathological (spina bifida) fetuses using various shape descriptors to shed light on the gyrification process during pregnancy.MethodsWe compare morphometric properties encoded by commonly used scalar point-wise curvature-based signatures—such as mean curvature (H), Gaussian curvature (K), shape index (SI), and curvedness (C)—with multidimensional point-wise shape signatures, including spectral geometry processing methods like the Heat Kernel Signature (HKS) and Wave Kernel Signature (WKS), as well as the Signature of Histograms of Orientations (SHOT), which combines histogram and signature techniques. These latter signatures originate from computer graphics techniques and are rarely applied in the medical field. We propose a novel technique to derive a global descriptor from a given point-wise signature, obtaining GHKS, GWKS, and GSHOT. The extracted signatures are then evaluated using Support Vector Regression (SVR)-based algorithms to predict fetal gestational age (GA).ResultsGSHOT better encodes the GA to other global multidimensional point-wise shape signatures (GHKS, GWKS) and commonly used scalar point-wise curvature-based signatures (C, H, K, SI, FI), achieving a prediction R2 of 0.89 and a mean absolute error of 6 days in neurotypical fetuses, and a R2 of 0.64 and a mean absolute error of 10 days in pathological fetuses.ConclusionGSHOT provides researchers with an advanced tool to capture more nuanced aspects of fetal brain development and, specifically, of the gyrification process.
Chemical characterization, assessment of acute oral toxicity, and antinociceptive potential of the methanolic extract of Montrichardia linifera (Arruda) Schott leaves from Brazil
Authors: Costa Wellington Junior Taisho Nagahama , Coelho Leticia Prazeres de Farias , Tembra Alan Luz , Monteiro Rayan Fidel Martins , Almeida Jose Ramon Gama , Lima Klinsmann Thiago , Botelho Anderson de Santana , Batista Raimundo Junior da Rocha , Freitas Jofre Jacob da Silva , Pinheiro Wandson Braamcamp de Souza , Oliveira Fabiola Raquel Tenorio , Oliveira Karen Renata Herculano Matos , Lima Anderson Bentes de , Amarante Cristine Bastos do , Bastos Gilmara de Nazareth Tavares 
Published: November 2024

BackgroundMontrichardia linifera (Arruda) Schott is popularly known as “aninga,” “aningaçu,” “aningaíba,” and “aninga-do-igapó.” Compresses and plasters made from the leaves of this medicinal plant are used to treat abscesses, tumors, and pain caused by stingray stings.Aim of the studyThis study aimed to chemically characterize the methanolic extract of M. linifera leaves (MEMLL), as well as to verify their acute oral toxicity and antinociceptive potential.Materials and methodsThe leaves were collected during the rainy season, and the methanolic extract was obtained after gradient extraction using different solvents. MEMLL was analyzed using high-performance liquid chromatography (HPLC) and nuclear magnetic resonance (NMR). Acute oral toxicity testing followed the Organization for Economic Co-operation and Development (OECD) guideline 423. Subsequently, acetic acid, hot plate, and formalin tests were used to evaluate the analgesic effects.ResultsIn the chemical characterization of MEMLL by HPLC, three flavonoids were identified: rutin, quercetin, and epicatechin. In addition, when NMR spectroscopy was performed, rutin and quercetin were again identified, as well as the chemical compounds luteolin and chrysoeriol. In the acute oral toxicity test, MEMLL showed no physiological or behavioral changes. In the nociceptive study, MEMLL showed an effect at doses of 50 and 100 mg/kg in the 0.6% acetic acid test, i.e., 51.46% and 75.08%, respectively. In the hot plate test, the MEMLL group at a dose of 50 mg/kg was effective at times of 30 and 60 min, i.e., 164.43% and 122.95%, respectively. Similarly, the MEMLL group at a dose of 100 mg/kg was also effective in increasing latency at times of 30 and 60 min, i.e., 162.62% and 136.68%, respectively. In the formalin test, MEMLL showed an antinociceptive effect on neurogenic pain at doses of 50 and 100 mg/kg when compared to the control group, 35.25% and 52.30%, respectively. In the inflammatory phase, inhibition was observed in the MEMLL at doses of 50 and 100 mg/kg, i.e., 66.39% and 72.15%, respectively.ConclusionMEMLL has analgesic properties and is non-toxic, validating the Brazilian ethnopharmacological use of this plant for pain treatment. The leaves of the species M. linifera showed central and peripheral antinociceptive effects.
Effect of a transtheoretical model-based intervention and motivational interviewing on hyperphosphatemia management via telehealth (TMT program) among hemodialysis patients during the COVID-19 pandemic
Authors: Thongsunti Arrom , Silpakit Chatchawan , Rattananupong Thanapoom , Kittanamongkolchai Wonngarm , Sumethpimolchai Warangkana , Lohsoonthorn Vitool 
Published: November 2024

BackgroundHyperphosphatemia poses a significant risk for cardiovascular diseases and mortality in hemodialysis patients. Non-adherence to phosphate binders and a low-phosphate diet behavior contribute to this issue. Leveraging psychological and behavior change theories has proven effective in addressing many health risks. During the COVID-19 pandemic, face-to-face communication was limited, and telehealth served as a bridge to address healthcare gaps. This study aimed to determine the effect of a transtheoretical model-based intervention and motivational interviewing on hyperphosphatemia management via telehealth (TMT program) among hemodialysis patients during the COVID-19 pandemic.MethodA two-arm parallel randomized controlled trial with assessors blinding involved 80 participants who were stratified block-randomized into either the TMT program group (n = 40) or the control group (Usual care; n = 40). Linear regression was used to compare the two groups on serum phosphorus levels, knowledge of hyperphosphatemia management, and dietary consumption behavior at the 24-week endpoint. The readiness to change (stage of change), self-efficacy, and phosphate binder adherence were assessed using Fisher’s test.ResultThe TMT program demonstrated a significant reduction in serum phosphorus levels compared to usual care (mean difference = −1.03, 95% CI = −1.77, −0.29). Additionally, improvement in dietary consumption behavior related to phosphorus-containing foods was also observed (mean difference = 13.48, 95% CI = 8.41, 18.57). Positive effects emerged in the readiness to change (p &lt; 0.001), self-efficacy in the appropriate use of phosphate binders (p = 0.025), and adherence to phosphate binders (p = 0.001) at the 24-week endpoint. However, groups did not differ in knowledge of hyperphosphatemia management (mean difference = 7.02, 95% CI = −1.03, 15.07).ConclusionThe study demonstrated that the TMT program has positive effects on reducing serum phosphorus levels, providing a hyperphosphatemia management strategy for ESRD patients undergoing hemodialysis via telehealth.Clinical trial registrationTCTR20230628003, https://www.thaiclinicaltrials.org.
Professional and public views about early return of patients from Comprehensive Stroke Centers to local Acute Stroke Centers in England following displacement by emergency care pathways
Authors: Price Chris , Zhu Becky , Alton Abigail , Ford Gary A. , James Martin , McClelland Graham , White Phil , Shaw Lisa 
Published: November 2024

BackgroundMechanical thrombectomy is a highly effective emergency treatment for selected cases of ischemic stroke but can only be provided at hospitals with appropriate facilities and interventionists. Many patients require transfers for treatment, including some who are subsequently considered ineligible. To maintain capacity at thrombectomy centers, displaced patients should soon be returned to their local hospital following assessment and treatment, but return processes vary. We sought the views of stroke and ambulance services, clinicians, and public representatives about the timing, planning and implementation of acceptable processes to inform recommendations about the early return of patients (&lt; 24 h) displaced as a result of thrombectomy pathways.MethodsThree workstreams were undertaken between 01/05/2023 and 31/10/2023: 1. An online survey of hospital stroke services supplemented by a convenience poll of stroke clinicians. 2. An online survey of ambulance services. 3. Focus groups with stroke patients and carers using a topic guide describing typical early return scenarios. The surveys used multiple choice answers supplemented by free text boxes for additional comments. Data were reported descriptively without statistical comparison. Focus group data were analyzed thematically using emergent coding.ResultsResponses were obtained from 32 stroke services, 44 stroke clinicians, and 11 ambulance services. Stroke service and clinician respondents generally supported early return for most clinical scenarios but advised caution regarding transfers &lt; 4 h after thrombectomy and &lt; 24 h for hemorrhagic stroke due to the higher risk of complications. Ambulance respondents highlighted travel time, immediate service pressures and crew type as influences upon providing early returns, but supported 24/7 provision. Twenty-nine patients and four carers participated in three focus groups. There was general acceptance of early return processes but these participants emphasized the need for clear communication and individualized decisions based upon clinical status, age, journey length, patient preferences and individual contextual factors.ConclusionsAll contributors were generally supportive of early patient returns to maintain thrombectomy center capacity, but the results suggest important organizational, clinical, and patient-focused considerations for successful implementation.
Linking Personality Traits and School Dropout Tendency: Evidence from Pakistan Orphan and Non-Orphan Students
Authors: Majeed Rimsha , Aqeel Muhammad , Shah Tamkeen Zahra , Komal Rafia 
Published: November 2024

Existent research bears scarce evidence of the influence of personality traits on the school dropout tendency of students, particularly indicating the need for a focus on how a combination of various personality traits might precipitate dropout. Furthermore, there is a gap in terms of how personality traits interact with the circumstance of being an orphan student to affect drop-out decisions. Addressing this gap, the current research was designed to investigate the influence of various personality traits on the school dropout tendency of orphan and non-orphan students. Two hundred participants (orphan students, n = 100; non-orphan students, n= 100) were included from different orphanage schools and high schools of Rawalpindi and Islamabad, Pakistan. The age of the participants ranged from 12-18 years. Purposive sampling was conducted based on cross-section design. Two scales, the Eysenck personality questionnaire (EPQ: Eysenck, Eysenck, & Barrett, 1985;Naqvi, 2001) and School Refusal Assessment Scale-revised (SARS-R:Kearney, 2002)were employed to respectively measure extraversion-introversion, neuroticism, and psychoticism traits of personality, and students? dropout tendency. This study found that extraversion-introversion was linked to a greater likelihood of school dropout tendency in orphanage students. Furthermore, the study revealed that low prevalence of neuroticism increased probabilities of an early exit. On the other hand, the investigation also indicated that psychoticism and lie traits of personality were associated with higher probabilties of school dropout tendency in orphanage and ordinary students. Notably, the study demonstrated that parental care or its absence (being an orphan or non-orphan)was playing a moderating role in the relationship between personality traits and dropout tendency. Orphan students who exhibited higher levels of extroversion-introversion and psychoticism had the highest tendency of dropout as compared to non-orphan students. This study implicates that personality traits area more important factor for triggering dropout tendency in orphanage students than in ordinary school students. Therefore, the research recommends special intervention by clinical and pedagogical settings in the case of orphanage students to help resolve personality conflicts in order to prevent dropouts. These findings could have profound impact on future policy and program planning for orphans in developing countries.