bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pretreatment blood biomarkers combined with magnetic resonance imaging predict responses to neoadjuvant chemoradiotherapy in locally advanced rectal cancer
Authors: Shi Xinyu , Zhao Min , Shi Bo , Chen Guoliang , Yao Huihui , Chen Junjie , Wan Daiwei , Gu Wen , He Songbing 
Published: August 2022

AimTo investigate the value of pretreatment blood biomarkers combined with magnetic resonance imaging (MRI) in predicting the efficacy of neoadjuvant chemoradiotherapy (NCRT) in patients with locally advanced rectal cancer (LARC).MethodsThis study involved patients with LARC who received NCRT and subsequently underwent total mesenteric excision from June 2015 to June 2021 at the First Affiliated Hospital of Soochow University. Patients with incomplete courses of neoadjuvant therapy, comorbidities with other malignancies or diseases that affect the study outcome, and those who underwent unplanned surgery were ultimately excluded. Laboratory data such as albumin, CEA, various blood cell levels, and MRI related data such as tumor regression grade assessed by magnetic resonance imaging (mrTRG) were collected from the included patients one week prior to NCRT. MrTRG is a common clinical imaging metric used to assess the degree of tumor regression in rectal cancer, primarily based on morphological assessment of residual tumor. Furthermore, pretreatment blood biomarkers such as neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), albumin to fibrinogen ratio (AFR), and prealbumin to fibrinogen ratio (PFR) were assessed. The independent variables for pathologic complete response (pCR) to NCRT were determined by univariate and multivariate logistic regression analyses. Receiver operating characteristic (ROC) curve analysis was used to examine the performance of MRI with or without pretreatment blood biomarkers in predicting pCR using DeLong’s method. A nomogram was created and confirmed internally.ResultsFifty-nine individuals with LARC satisfied the inclusion criteria, among which 23 showed pCR after NCRT. Logistic regression analysis demonstrated that pretreatment CEA (≤ 3 µg/L, OR = 0.151, P = 0.039), NLR (OR = 4.205, P = 0.027), LMR (OR = 0.447, P = 0.034), and PFR (OR = 0.940, P = 0.013) were independent predictors of pCR to NCRT. The AUCs of mrTRG alone and mrTRG plus the above four pretreatment blood biomarkers were 0.721 (P =0.0003) and 0.913 (P &lt;0.0001), respectively. The constructed nomogram showed a C-index of 0.914.ConclusionPretreatment blood biomarkers combined with MRI can help clinical efforts by better predicting the efficacy of NCRT in patients with locally advanced rectal cancer.
An in-depth discussion of cholesteatoma, middle ear Inflammation, and langerhans cell histiocytosis of the temporal bone, based on diagnostic results
Authors: Duan Bo , Pan Li-Li , Chen Wen-Xia , Qiao Zhong-Wei , Xu Zheng-Min 
Published: August 2022

ObjectiveThis study aimed to conduct an in-depth investigation of the learning framework used for deriving diagnostic results of temporal bone diseases, including cholesteatoma and Langerhans cell histiocytosis (LCH). In addition, middle ear inflammation (MEI) was diagnosed by CT scanning of the temporal bone in pediatric patients.DesignA total of 119 patients were included in this retrospective study; among them, 40 patients had MEI, 38 patients had histology-proven cholesteatoma, and 41 patients had histology-proven LCH of the temporal bone. Each of the 119 patients was matched with one-third of the disease labels. The study included otologists and radiologists, and the reference criteria were histopathology results (70% of cases for training and 30% of cases for validation). A multilayer perceptron artificial neural network (VGG16_BN) was employed and classified, based on radiometrics. This framework structure was compared and analyzed by clinical experts according to CT images and performance.ResultsThe deep learning framework results vs. a physician’s diagnosis, respectively, in multiclassification tasks, were as follows. Receiver operating characteristic (ROC) (cholesteatoma): (0.98 vs. 0.91), LCH (0.99 vs. 0.98), and MEI (0.99 vs. 0.85). Accuracy (cholesteatoma): (0.99 vs. 0.89), LCH (0.99 vs. 0.97), and MEI (0.99 vs. 0.89). Sensitivity (cholesteatoma): (0.96 vs. 0.97), LCH (0.99 vs. 0.98), and MEI (1 vs. 0.69). Specificity (cholesteatoma): (1 vs. 0.89), LCH (0.99 vs. 0.97), and MEI (0.99 vs. 0.89).ConclusionThis article presents a research and learning framework for the diagnosis of cholesteatoma, MEI, and temporal bone LCH in children, based on CT scans. The research framework performed better than the clinical experts.
Postnatal growth and gut microbiota development influenced early childhood growth in preterm infants
Authors: Tadros Jocelyne S. , Llerena Amelia , Sarkar Anujit , Johnson Reynold , Miller Elizabeth M. , Gray Heewon L. , Ho Thao T. B. 
Published: August 2022

BackgroundPreterm infants are at high risk for growth failure and childhood weight problems due to the disruption of normal intrauterine growth and nutrition. Early nutritional support and microbiome acquisition can play an important role in childhood growth.ObjectiveOur study examined potential postnatal indicators, including gut bacterial compositions, macronutrients, and catch-up growth, of growth pattern from infancy into early childhood.MethodsThis is a retrospective study of preterm infants born &lt; 35 weeks who were followed up in the university complex care clinic from 2012–2018. Weight and length z-scores at birth, 1, 2, 4, 6, 12 and 15 months, and body mass index (BMI) and length z-scores from 2 to 5 years of age were collected. Catch-up growths were calculated by changes in z-scores and divided into early (birth-4 months) and late (4–18 months). Postnatal nutritional data and fecal samples were collected. Fecal microbiome data obtained from 16S RNA V4 sequencing was analyzed against clinical and growth data using a regression model.Results160 infants included in the final analysis had birth weight and gestational age of 1,149 ± 496 grams and 28 ± 3 weeks. Early weight gain positively correlated with length z-scores but not with BMI at 2 years of age. BMI at 2 years of age strongly correlated with BMI at 3, 4, and 5 years of age. Postnatal abundance of Gammaproteobacteria was negatively associated with early growth while Bacteroides and Lactobacillus were positively associated with childhood BMI.ConclusionOur findings suggest that optimal postnatal nutrition promoted early catch-up growth in weight as well as improved linear growth without influence on childhood BMI. Postnatal gut microbial colonization, which is a modifiable factor, was associated with childhood growth in preterm infants.
Fecal calprotectin levels in pediatric cow's milk protein allergy
Authors: Lendvai-Emmert Dominika , Emmert Vanessza , Makai Alexandra , Fusz Katalin , Prémusz Viktória , Eklics Kata , Sarlós Patrícia , Tóth Péter , Amrein Krisztina , Tóth Gergely 
Published: August 2022

IntroductionThe most prevalent food allergy in younger children is cow's milk protein allergy (CMPA), a hypersensitivity reaction to cow's milk protein and its most common clinical manifestation is allergic colitis. The goal of our recent study was to assess somatic symptoms of CMPA and to prospectively observe the effects of a dairy elimination diet using objective parameters and questionnaires.MethodsThe County Hospital in Szekszárd, Hungary, investigated children aged 1 to 18 who had clinical signs that might indicate CMPA. Stool samples were taken and analyzed using a fecal calprotectin (FC) rapid test (Quantum Blue fCAL, Bühlmann Laboratories, Switzerland) at the time of the diagnosis and following 3 months of an elimination diet. At the baseline visit as well as the first and second follow-up, questionnaires were filled out. Patients were divided into two subgroups according to dietary guidelines based on the results of the questionnaires.ResultsA total of 47 patients participated in the study [42.55% female, mean age: 7.36 (SD 4.22) years]. There was no significant difference in FC levels between baseline and after 3-month elimination diet [73.98 (71.12) μg/g and 68.11 (74.4) μg/g, respectively, p = 0.331]. After three months, there was a significant decrease in FC levels among patients who adhered to the strict diet [84.06 (79.48) μg/g and 41.11 (34.24) μg/g, respectively, p = 0.001].ConclusionThe findings of our study suggest that FC can be an objective marker in confirming the diagnosis of CMPA. Significant improvement in clinical symptoms and in FC levels can only be expected after a strictly followed elimination diet.
Structural modifications of berberine and their binding effects towards polymorphic deoxyribonucleic acid structures: A review
Authors: Fu Lanlan , Mou Jiajia , Deng Yanru , Ren Xiaoliang 
Published: August 2022

Berberine (BBR) is a plant derived quaternary benzylisoquinoline alkaloid, which has been widely used in traditional medicines for a long term. It possesses broad pharmacological effects and is widely applied in clinical. In recent years, the anti-tumor effects of BBR have attracted more and more attention of the researchers. The canonical right-handed double-stranded helical deoxyribonucleic acid (B-DNA) and its polymorphs occur under various environmental conditions and are involved in a plethora of genetic instability-related diseases especially tumor. BBR showed differential binding effects towards various polymorphic DNA structures. But its poor lipophilicity and fast metabolism limited its clinical utility. Structural modification of BBR is an effective approach to improve its DNA binding activity and bioavailability in vivo. A large number of studies dedicated to improving the binding affinities of BBR towards different DNA structures have been carried out and achieved tremendous advancements. In this article, the main achievements of BBR derivatives in polymorphic DNA structures binding researches in recent 20 years were reviewed. The structural modification strategy of BBR, the DNA binding effects of its derivatives, and the structure activity relationship (SAR) analysis have also been discussed.
2-Mercaptobenzimidazole clubbed hydrazone for Alzheimer’s therapy: In vitro, kinetic, in silico, and in vivo potentials
Authors: Begum Farida , Rehman Najeeb Ur , Khan Ajmal , Iqbal Sajid , Paracha Rehan Zafar , Uddin Jalal , Al-Harrasi Ahmed , Lodhi Muhammad Arif 
Published: August 2022

Alzheimer’s is a type of dementia that affects the affected person’s thinking, memory, and behavior. It is a multifactorial disease, developed by the breakdown of the neurotransmitter acetylcholine via acetylcholinesterase (AChE). The present study was designed to evaluate potential inhibitors of acetylcholinesterase that could be used as a therapeutic agent against Alzheimer’s disease (AD). For this course, synthetic compounds of the Schiff bases class of 2-mercaptobenzimidazole hydrazone derivatives (9–14) were determined to be potent acetylcholinesterase inhibitors with IC50 values varying between 37.64 ± 0.2 and 74.76 ± 0.3 μM. The kinetic studies showed that these are non-competitive inhibitors of AChE. Molecular docking studies revealed that all compounds accommodate well in the active site and are stabilized by hydrophobic interactions and hydrogen bonding. Molecular dynamics (MD) simulations of selected potent inhibitors confirm their stability in the active site of the enzyme. Moreover, all compounds showed antispasmodic and Ca2+ antagonistic activities. Among the selected compounds of 2-mercaptobenzimidazole hydrazone derivatives, compound 11 exhibited the highest activity on spontaneous and K+-induced contractions, followed by compound 13. Therefore, the Ca2+ antagonistic, AChE inhibition potential, and safety profile of these compounds in the human neutrophil viability assay make them potential drug candidates against AD in the future.
A novel necroptosis-related LncRNA signature for prediction of prognosis and therapeutic responses of head and neck squamous cell carcinoma
Authors: Meng Zilu , Yang Wenhan , Zhu Lei , Liu Wanyu , Wang Yudong 
Published: August 2022

Background: Long non-coding RNAs (lncRNAs) play an essential role in the occurrence and prognosis of tumors, and it has great potential as biomarkers of tumors. However, the roles of Necroptosis-related lncRNA (NRLs) in Head and neck squamous cell carcinoma (HNSCC) remain elusive.Methods: We comprehensively analyzed the gene expression and clinical information of 964 HNSCC in four cohorts. LASSO regression was utilized to construct a necroptosis-related lncRNA prognosis signature (NLPS). We used univariate and multivariate regression to assess the independent prognostic value of NLPS. Based on the optimal cut-off, patients were divided into high- and low-risk groups. In addition, the immune profile, multi-omics alteration, and pharmacological landscape of NLPS were further revealed.Results: A total of 21 NRLs associated with survival were identified by univariate regression in four cohorts. We constructed and validated a best prognostic model (NLPS). Compared to the low-risk group, patients in the high group demonstrated a more dismal prognosis. After adjusting for clinical features by multivariate analysis, NLPS still displayed independent prognostic value. Additionally, further analysis found that patients in the low-risk group showed more abundant immune cell infiltration and immunotherapy response. In contrast, patients in the high-risk group were more sensitive to multiple chemotherapeutic agents.Conclusion: As a promising tool, the establishment of NLPS provides guidance and assistance in the clinical management and personalized treatment of HNSCC.
Abusive supervision and employee voice: The roles of positive reappraisal and employee cynicism
Authors: Sun Wei , Dedahanov Alisher Tohirovich , Fayzullaev Abdulkhamid Komil ugli , Abdurazzakov Odiljon Sobirovich 
Published: August 2022

PurposeDespite the number of studies on abusive supervision and voice, there is still limited knowledge on why individuals refrain themselves from information sharing. Moreover, very little is known on when individuals become cynical and when they do not under abusive supervision. Hence, to address the existing gaps in the literature this study aims to investigate the moderating role of positive reappraisal on the link between abusive supervision and cynicism; the associations between cynicism and two forms of voice, promotive and prohibitive; and the mediating effect of cynicism on the relationship between abusive supervision and voice.Design/methodology/approachWe conducted a survey among 685 highly skilled employees and their immediate supervisors in manufacturing companies. Among the 685 responses, we excluded 258 incomplete questionnaires and thus analyzed a total of 427 responses. Hierarchical regression analysis and structural equation modeling were utilized to assess the validity of the hypotheses.FindingsThe findings indicate that positive reappraisal moderates the link between abusive supervision and cynicism; furthermore, cynicism is negatively related to promotive voice and mediates the relationship between abusive supervision and promotive voice. Moreover, the results reveal that the association between cynicism and prohibitive voice is nonsignificant and that cynicism does not mediate the link between abusive supervision and prohibitive voice.Originality/valueThis study is the first to provide empirical evidence on the moderating role of positive reappraisal on the relationship between abusive supervision and cynicism, the association between cynicism and promotive voice and the mediating role of cynicism on the link between abusive supervision and promotive voice.Future research directionsWe recommend that future research consider other forms of voice, such as acquiescent and prosocial voice, in investigating the links between cynicism and employee voice.
Associations between coping styles, gender, their interaction and non-suicidal self-injury among middle school students in rural west China: A multicentre cross-sectional study
Authors: Zhou Jinhui , Zhang Jiazhu , Huang Yilin , Zhao Jiayu , Xiao Yun , Zhang Shibei , Li Yanfeng , Zhao Ting , Ma Jinyu , Ou Nanbing , Wang Shuyi , Ou Qing , Luo Jiaming 
Published: August 2022

BackgroundTo investigate the association between coping styles, gender, their interactions and non-suicidal self-injurious (NSSI) behaviors among middle school students in rural western China under COVID-19.MethodsA multicentre cross-sectional study method was used to conduct an online survey of 8,361 students from 23 middle schools in the northern Sichuan region by clustering sampling, using the General Information Questionnaire, the Ottawa Self-Injury Inventory, and the Coping Style Scale for Middle School Students.ResultsThe past year prevalence of NSSI among middle school students in rural west China was 5.7%. The differences in scores between those with and without NSSI on all dimensions of coping styles were statistically significant (p &lt; 0.001). Multivariate logistic regression analysis revealed that vocational high school (OR = 1.67), girls (OR = 2.5), single parent with divorced parents (OR = 1.89), remarriage with divorced parents (OR = 1.81), and tolerance (OR = 1.17), venting emotions (OR = 1.15) and fantasy/denial (OR = 1.07) in coping styles may increase the risk of NSSI among middle school students, while problem solving (OR = 0.9) and seeking social support (OR = 0.9) among coping styles may reduce the risk of NSSI among middle school students. The interaction results show that gender has a moderating role in the process of endurance, avoidance, venting of emotions, and fantasy/denial influencing non-suicidal self-injury in middle school students.ConclusionThere is an association between coping styles and self-injury among middle school students in rural areas in western China, with gender playing a moderating role. Active attention should be paid to students' coping styles and encouraging them to adopt positive coping styles as well as avoid negative coping styles, especially in the case of girls, which can help prevent self-injury.
A systematic literature review of AI-based digital decision support systems for post-traumatic stress disorder
Authors: Bertl Markus , Metsallik Janek , Ross Peeter 
Published: August 2022

ObjectiveOver the last decade, an increase in research on medical decision support systems has been observed. However, compared to other disciplines, decision support systems in mental health are still in the minority, especially for rare diseases like post-traumatic stress disorder (PTSD). We aim to provide a comprehensive analysis of state-of-the-art digital decision support systems (DDSSs) for PTSD.MethodsBased on our systematic literature review of DDSSs for PTSD, we created an analytical framework using thematic analysis for feature extraction and quantitative analysis for the literature. Based on this framework, we extracted information around the medical domain of DDSSs, the data used, the technology used for data collection, user interaction, decision-making, user groups, validation, decision type and maturity level. Extracting data for all of these framework dimensions ensures consistency in our analysis and gives a holistic overview of DDSSs.ResultsResearch on DDSSs for PTSD is rare and primarily deals with the algorithmic part of DDSSs (n= 17). Only one DDSS was found to be a usable product. From a data perspective, mostly checklists or questionnaires were used (n= 9). While the median sample size of 151 was rather low, the average accuracy was 82%. Validation, excluding algorithmic accuracy (like user acceptance), was mostly neglected, as was an analysis concerning possible user groups.ConclusionBased on a systematic literature review, we developed a framework covering all parts (medical domain, data used, technology used for data collection, user interaction, decision-making, user groups, validation, decision type and maturity level) of DDSSs. Our framework was then used to analyze DDSSs for post-traumatic stress disorder. We found that DDSSs are not ready-to-use products but are mostly algorithms based on secondary datasets. This shows that there is still a gap between technical possibilities and real-world clinical work.
Examining rural-urban disparities in perceived need for health care services among adults with disabilities
Authors: Gimm Gilbert , Ipsen Catherine 
Published: August 2022

PurposeThe purpose of this study is to parse out differences between unmet need and perceived need for health care services among rural and urban adults with disabilities in the United States. While unmet need focuses primarily on environmental factors such as access to health insurance or provider availability, perceived need relates to personal choice. This distinction between unmet and perceived need is largely ignored in prior studies, but relevant to public health strategies to improve access and uptake of preventive care.MethodsUsing Wave 2 data from the National Survey on Health and Disability, we explored rural and urban differences in unmet and perceived health care needs among working-age adults with disabilities for acute and preventive services.FindingsAlthough we found no significant differences in unmet needs between rural and urban respondents, we found that perceived needs for dental care and mental health counseling varied significantly across geography. Using logistic regression analysis and controlling for observable participant characteristics, we found that respondents living in noncore counties relative to metropolitan counties were more likely to report not needing dental care (OR 1.89, p = 0.028), and not needing mental health counseling services (OR 2.15, p ≤ 0.001).ConclusionThese findings suggest additional study is warranted to understand perceived need for preventive services and the levers for addressing rural disparities.
Clinical characteristics and survival outcomes of patients with pneumonectomies: A population-based study
Authors: Wang Linlin , Ge Lihui , Zhang Guofeng , Wang Ziyi , Liu Yongyu , Ren Yi 
Published: August 2022

BackgroundPrognostic factors in a pneumonectomy (PN) are not yet fully defined. This study sought to analyze and evaluate long-term survival after pneumonectomies (PNs) for patients with non-small cell lung cancer (NSCLC).MethodsWe obtained data from the Surveillance, Epidemiology, and End Results (SEER) database for patients who underwent PNs between 2004 and 2015. Propensity score matching (PSM) analysis and Kaplan–Meier curves were used to estimate overall survival (OS), while univariate and multivariable Cox proportional hazards regression analyses were applied to create a forest plot.ResultsIn total, 1,376 patients were grouped according to right/left PNs. Before matching, OS was worse after a right PN [hazard ratio (HR): 1.459; 95% CI 1.254–1.697; P &lt; 0.001] and after matching, survival differences between groups were not significant (HR: 1.060; 95% CI 0.906–1.240; P = 0.465). Regression analysis revealed that age, gender, grade, lymph node dissection, N-stage, and chemotherapy were independent predictors of OS (P &lt; 0.05). Chemotherapy was associated with improved OS (P &lt; 0.001).ConclusionsLaterality was not a significant prognostic factor for long-term survival after a PN for NSCLC. Chemotherapy was a significant independent predictor of improved OS. Long-term survival and outcomes analyses should be conducted on larger numbers of patients.