bluuebunny/crossref_metadata_2025_split huggingface dataset:
Catheter Ablation of Ventricular Arrhythmias Originating From the Region of DGCV-AIV via a Swartz Sheath Support Approach
Authors: Zheng Cheng , Lin Wei-Qian , Wang Yao-Ji , Lv Fang-Zhou , Jin Qi-Qi , Li Jin , Lin Jia-Feng 
Published: December 2021

Aims: This study aimed to investigate an appropriate catheter manipulation approach for ventricular arrhythmias (VAs) originating from the left ventricular epicardium adjacent to the transitional area from the great cardiac vein to the anterior interventricular vein (DGCV-AIV).Methods: A total of 123 patients with DGCV-AIV VAs were retrospectively analyzed. All these patients underwent routine mapping and ablation by conventional approach [Non-Swartz sheath support (NS) approach] firstly. In the situation of the distal portion of the coronary venous system (CVS) not being accessed or a good target site not being obtained, the Swartz sheath support (SS) approach was attempted alternatively. If this still failed, the hydrophilic coated guidewire and left coronary angiographic catheter-guided deep engagement of Swartz sheath in GCV to support ablation catheter was performed.Results: A total of 103 VAs (103/123, 83.74%) were successfully eliminated in DGCV-AIV. By NS approach, the tip of the catheter reached DGCV in 39.84% VAs (49/123), reached target sites in 35.87% VAs (44/123), and achieved successful ablation in 30.89% VAs (38/123), which was significantly lower than by SS approach (88.61% (70/79), 84.81 % (67/79), and 75.95% (60/79), P &lt; 0.05). There were no significant differences in complication occurrence between the NS approach and the SS approach (4/123, 3.25% vs. 7/79, 8.86%, p &gt; 0.05). The angle between DGCV and AIV &lt;83° indicated an inaccessible AIV by catheter tip with a predictive value of 94.5%. Width/height of coronary venous system&gt;0.69 more favored a SS approach with a predictive value of 87%.Conclusion: For radiofrequency catheter ablation (RFCA) of VAs arising from DGCV-AIV, the SS approach facilitates the catheter tip to achieve target sites and contributes to a successful ablation.
Technological and Digital Interventions for Mental Health and Wellbeing: An Overview of Systematic Reviews
Authors: De Witte Nele A. J. , Joris Steven , Van Assche Eva , Van Daele Tom 
Published: December 2021

Background: Research increasingly shows how selective and targeted use of technology within care and welfare can have several advantages including improved quality of care and active user involvement.Purpose: The current overview of reviews aims to summarize the research on the effectiveness of technology for mental health and wellbeing. The goal is to highlight and structure the diverse combinations of technologies and interventions used so far, rather than to summarize the effectiveness of singular approaches.Methods: The current overview includes reviews published in the past five years with a focus on effectiveness of digital and technological interventions targeting mental health and wellbeing.Results: A total of 246 reviews could be included. All reviews examined the effectiveness of digital and technological interventions in the context of care and welfare. A combination of two taxonomies was created through qualitative analysis, based on the retrieved interventions and technologies in the reviews. Review classification shows a predominance of reviews on psychotherapeutic interventions using computers and smartphones. It is furthermore shown that when smartphone applications as stand-alone technology are researched, the primary focus is on self-help, and that extended reality is the most researched emerging technology to date.Conclusion: This overview of reviews shows that a wide range of interventions and technologies, with varying focus and target populations, have been studied in the field of care and wellbeing. The current overview of reviews is a first step to add structure to this rapidly changing field and may guide both researchers and clinicians in further exploring the evidence-base of particular approaches.
Developing a Quality Benchmark for Determining the Credibility of Web Health Information- a Protocol of a Gold Standard Approach
Authors: Daraz Lubna , Bouseh Sheila 
Published: December 2021

Background: The current pandemic of COVID-19 has changed the way health information is distributed through online platforms. These platforms have played a significant role in informing patients and the public with knowledge that has changed the virtual world forever. Simultaneously, there are growing concerns that much of the information is not credible, impacting patient health outcomes, causing human lives, and tremendous resource waste. With the increasing use of online platforms, patients/the public require new learning models and sharing medical knowledge. They need to be empowered with strategies to navigate disinformation on online platforms.Methods and Design: To meet the urgent need to combat health “misinformation,” the research team proposes a structured approach to develop a quality benchmark, an evidence-based tool that identifies and addresses the determinants of online health information reliability. The specific methods to develop the intervention are the following: (1) systematic reviews: two comprehensive systematic reviews to understand the current state of the quality of online health information and to identify research gaps, (2) content analysis: develop a conceptual framework based on established and complementary knowledge translation approaches for analyzing the existing quality assessment tools and draft a unique set of quality of domains, (3) focus groups: multiple focus groups with diverse patients/the public and health information providers to test the acceptability and usability of the quality domains, (4) development and evaluation: a unique set of determinants of reliability will be finalized along with a preferred scoring classification. These items will be used to develop and validate a quality benchmark to assess the quality of online health information.Expected Outcomes: This multi-phase project informed by theory will lead to new knowledge that is intended to inform the development of a patient-friendly quality benchmark. This benchmark will inform best practices and policies in disseminating reliable web health information, thus reducing disparities in access to health knowledge and combat misinformation online. In addition, we envision the final product can be used as a gold standard for developing similar interventions for specific groups of patients or populations.
Preliminary Support for a Cognitive Remediation Intervention for Women During the Menopausal Transition: A Pilot Study
Authors: Ballantyne Elena C. , King Jelena P. , Green Sheryl M. 
Published: December 2021

Background: Menopause is associated with physical and emotional symptoms, and subjective cognitive concerns that are generally not borne out on objective cognitive measures. This discrepancy suggests that a psychological rather than biological mechanism likely mediates the cognitive concerns of women in menopause. The current study assessed the feasibility and effectiveness of a cognitive remediation intervention with the goal of reducing subjective perceptions of cognitive difficulty during the menopause.Methods: Twenty-seven menopausal women (M age = 53.74, SD = 4.14) completed a 5-week group-based intervention (with a post-group booster) consisting of 2-h weekly sessions. Participants completed pre- and post-intervention measures capturing subjective cognitive ability, mood, anxiety, stress, personality, and objective cognitive tests. The primary variable of interest was self-reported cognitive confidence measured by the Memory and Cognitive Confidence Scale (MACCS).Results: All but one MACCS subscale significantly decreased over the course of treatment (with lower scores associated with higher confidence) and effect sizes ranged from small to large (d = −0.39 to −0.91) with gains maintained at 1-month follow-up. Interestingly, no change in objective cognitive test performance was observed, indicating increases in subjective cognitive confidence in the absence of objective cognitive improvement. There was no change in mood, anxiety, or stress scores. Two-level HLM analyses revealed that those with higher baseline neuroticism, as measured by the NEO Personality Inventory, had smaller decreases in post-group MACCS High Standards subscale relative to those with lower baseline neuroticism (p = 0.027, d = −0.45). Those with higher baseline depression scores on the Depression Anxiety Stress Scale (DASS-21) had a smaller decrease in post-intervention MACCS Total Score relative to those with lower depression ratings.Conclusion: To our knowledge, this is the first feasibility study of its kind targeting perceptions of cognitive impairment during menopause. Although generally well-tolerated, recruitment and scheduling difficulties were flagged as challenges to engagement while a small sample size and lack of control group limit conclusions about efficacy. Providing current results could be replicated with enhanced methods, these results provide support that cognitive remediation is a feasible and credible treatment, and may improve quality of life for women in menopause.Clinical Trial Registration:www.ClinicalTrials.gov, identifier: NCT03311880.
Comprehensive Analysis of N6-methyladenosine Modification Patterns Associated With Multiomic Characteristics of Bladder Cancer
Authors: Liu Jingchao , Wang Jianlong , Wu Meng , Zhang Wei , Meng Lingfeng , Wang Jiawen , Lv Zhengtong , Xia Haoran , Zhang Yaoguang , Wang Jianye 
Published: December 2021

Purpose: To comprehensively analyze N6-methyladenosine modification patterns in bladder tumors and to further systematically explore the inherent relationships between these modification patterns and multiomic tumor characteristics.Materials and Methods: A total of 901 bladder tumor samples, including 405 samples from TCGA database, 188 samples from GSE13507 and 308 samples from GSE32894, were included in this systematic analysis. The N6-methyladenosine modification patterns were identified utilizing unsupervised clustering analysis. To quantify N6-methyladenosine modification patterns, the m6Ascore of individual sample was developed using principal component analysis algorithms. Relationships among immune infiltration, tumor mutation burden, various clinical characteristics, molecular subtypes, and the m6Ascore were systematically analyzed. The guiding value of m6Ascore in immunotherapy was further validated in an external trial cohort. Genomics of Drug Sensitivity in Cancer expression references were also utilized to perform drug sensitivity analysis for patients with distinct m6A modification patterns.Results: We determined three different N6-methyladenosine modification patterns for 901 bladder tumors. The quantitative m6Ascore of individual sample derived from N6-methyladenosine modification patterns could play a significant role in predicting overall survival, immune cell infiltration, and classic oncogene mutations. A low m6Ascore combined with high tumor mutation burden indicated better survival outcomes (p &lt; 0.001). A higher m6Ascore also indicated a higher grade, higher T and N stage, elder ages, higher death rate, and higher PD1/PDL1/CTLA4 expressions (p &lt; 0.01). The Basal type tended to exhibit significantly higher m6Ascores than the Luminal and Neuronal subtypes. External immunotherapy cohorts demonstrated that no difference in therapeutic effects was noted between the high and low m6Ascore groups when anti-PD1 immunotherapy was exclusively administered. When anti-PD1 and anti-CTLA4 immunotherapy were simultaneously administered, the high m6Ascore group had a significantly better prognosis than the low m6Ascore group (p &lt; 0.001). High m6A groups were potentially sensitive to various medical treatments including Bleomycin, Bortezomib, Cisplatin, Cyclopamine, Dasatinib, Docetaxe, Rapamycin, and Vinblastine in this study.Conclusions: This study systematically revealed the important roles of m6A methylation modification patterns in bladder tumors. Detailed quantification of m6A modification patterns could improve our understanding of the bladder tumor microenvironments and could provide guidance for future immunotherapy strategies.
The Performance of Two Rapid Antigen Tests During Population-Level Screening for SARS-CoV-2 Infection
Authors: Alghounaim Mohammad , Bastaki Hamad , Bin Essa Farah , Motlagh Hoda , Al-Sabah Salman 
Published: December 2021

Background: SARS-CoV-2 antigen assays offer a rapid mean to diagnose and isolate infected individuals. However, their utility in population-level screening is unknown.Objectives: The performance of two antigen tests in detecting SARS-CoV-2 was assessed among individuals randomly selected in the community.Study Design: A prospective study that performed head-to-head comparison of two SARS-CoV-2 antigen assays. Individuals were recruited during community SARS-CoV-2 screening over 10 working days. Demographic and clinical data were collected. Standard Q COVID-19 Ag test, a point-of-care chromatographic assay, was conducted immediately, and then the sample was transported to the virology laboratory to perform PCR and the LIAISON SARS-CoV-2 Ag chemiluminesence immunoassay.Results: respiratory samples from 991 individuals were collected, and 62 were positive by PCR. Inconclusive PCR results were observed in 19 samples and were excluded. The median age of participants was 40.2 years (IQR 32.3–47.8), and 932 (94%) were males. Most (77.4%) of infections were asymptomatic. The sensitivity and the specificity of the LIAISON assay were 43.3% (95%CI 30.6–56.8) and 99.9% (95%CI 99.3–100). The Standard Q assay had lower sensitivity (30.6%, 95%CI 19.6–43.7) but similar specificity (98.8%, 95%CI, 97.8–99.4). Similarly, the LIAISON assay had higher positive predictive value (96.3%, 95%CI 81–99.9% vs. 63.3%, 95%CI, 43.9–80.1%). Both assays performed better in symptomatic patients and among samples with a low-cycle threshold (Ct &lt; 25).Conclusion: In our setting of random community surveillance, rapid antigen testing of nasopharyngeal swabs by either LIAISON SARS-CoV-2 Ag (DiaSorin) or Standard Q COVID-19 Ag (SD Biosensor) was less sensitive to detecting SARS-CoV-2 than the TaqPath COVID-19 RT-PCR.
The Role of Internal Limiting Membrane Flap for Highly Myopic Macular Hole Retinal Detachment: Improving the Closure Rate but Leading to Excessive Gliosis
Authors: Chen Yiqi , Wang Jun , Ye Xin , Yu Jiafeng , Tao Jiwei , Lin Li , Wu Sulan , Qu Jia , Shen Lijun 
Published: December 2021

Purpose: To investigate the surgical outcomes of the inverted internal limiting membrane (ILM) flap technique for macular hole retinal detachment (MHRD) in high myopia.Methods: This was a retrospective interventional study on 45 highly myopic eyes with MHRD after ILM peeling (n = 24, peeling group) or the inverted ILM flap technique (n = 21, inverted group). The inverted group was consisted of autologous blood (AB) subgroup (n = 10) and perfluorocarbon liquid (PFCL) subgroup (n = 11). MH closure, best-corrected visual acuity (BCVA), foveal microstructures, and excessive gliosis were analyzed during a follow-up of over 12 months.Results: The inverted group achieved a higher MH closure rate (95.24%) than the peeling group (41.67%; p &lt; 0.001). No significant difference was found in postoperative BCVA between the two groups (p = 0.98) or between the closed MH with or without excessive gliosis (p = 0.60). Excessive gliosis was identified in 9 eyes in the inverted group, and there was no difference in the incidence of excessive gliosis between the AB subgroup (4 in 10 eyes, 40%) and the PFCL subgroup (5 in 11 eyes, 45.45%) (p &gt; 0.999).Conclusion: The inverted ILM flap technique was effective in MH closure but had no advantage in postoperative BCVA and microstructural restoration. Excessive gliosis was only detected in the inverted group but did not affect the postoperative BCVA. Additionally, the incidence of excessive gliosis was not affected by adjuvants.
Bacterial Signatures of Paediatric Respiratory Disease: An Individual Participant Data Meta-Analysis
Authors: Broderick David T. J. , Waite David W. , Marsh Robyn L. , Camargo Carlos A. , Cardenas Paul , Chang Anne B. , Cookson William O. C. , Cuthbertson Leah , Dai Wenkui , Everard Mark L. , Gervaix Alain , Harris J. Kirk , Hasegawa Kohei , Hoffman Lucas R. , Hong Soo-Jong , Josset Laurence , Kelly Matthew S. , Kim Bong-Soo , Kong Yong , Li Shuai C. , Mansbach Jonathan M. , Mejias Asuncion , O’Toole George A. , Paalanen Laura , Pérez-Losada Marcos , Pettigrew Melinda M. , Pichon Maxime , Ramilo Octavio , Ruokolainen Lasse , Sakwinska Olga , Seed Patrick C. , van der Gast Christopher J. , Wagner Brandie D. , Yi Hana , Zemanick Edith T. , Zheng Yuejie , Pillarisetti Naveen , Taylor Michael W. 
Published: December 2021

Introduction: The airway microbiota has been linked to specific paediatric respiratory diseases, but studies are often small. It remains unclear whether particular bacteria are associated with a given disease, or if a more general, non-specific microbiota association with disease exists, as suggested for the gut. We investigated overarching patterns of bacterial association with acute and chronic paediatric respiratory disease in an individual participant data (IPD) meta-analysis of 16S rRNA gene sequences from published respiratory microbiota studies.Methods: We obtained raw microbiota data from public repositories or via communication with corresponding authors. Cross-sectional analyses of the paediatric (&lt;18 years) microbiota in acute and chronic respiratory conditions, with &gt;10 case subjects were included. Sequence data were processed using a uniform bioinformatics pipeline, removing a potentially substantial source of variation. Microbiota differences across diagnoses were assessed using alpha- and beta-diversity approaches, machine learning, and biomarker analyses.Results: We ultimately included 20 studies containing individual data from 2624 children. Disease was associated with lower bacterial diversity in nasal and lower airway samples and higher relative abundances of specific nasal taxa including Streptococcus and Haemophilus. Machine learning success in assigning samples to diagnostic groupings varied with anatomical site, with positive predictive value and sensitivity ranging from 43 to 100 and 8 to 99%, respectively.Conclusion: IPD meta-analysis of the respiratory microbiota across multiple diseases allowed identification of a non-specific disease association which cannot be recognised by studying a single disease. Whilst imperfect, machine learning offers promise as a potential additional tool to aid clinical diagnosis.
An Unfolded Protein Response Related Signature Could Robustly Predict Survival Outcomes and Closely Correlate With Response to Immunotherapy and Chemotherapy in Bladder Cancer
Authors: Zhang Facai , Feng Dechao , Wang Xiaoming , Gu Yiwei , Shen Zhiyong , Yang Yubo , Wang Jiahao , Zhong Quliang , Li Dengxiong , Hu Huan , Han Ping 
Published: December 2021

Background: The unfolded protein response (UPR) plays a significant role in maintaining protein hemostasis in tumor cells, which are crucial for tumor growth, invasion, and resistance to therapy. This study aimed to develop a UPR-related signature and explore its correlation with immunotherapy and chemotherapy in bladder cancer.Methods: The differentially expressed UPR-related genes were put into Lasso regression to screen out prognostic genes, which constituted the UPR signature, and were incorporated into multivariate Cox regression to generate risk scores. Subsequently, the predictive performance of this signature was estimated by receiver operating characteristic (ROC) curves. The CIBERSORTx, the maftool, and Gene set enrichment analysis (GSEA) were applied to explore infiltrated immune cells, tumor mutational burden (TMB), and enriched signaling pathways in both risk groups, respectively. Moreover, The Cancer Immunome Atlas (TCIA) and Genomics of Drug Sensitivity in Cancer (GDSC) databases were used to predict responses to chemotherapy and immunotherapy.Results: Twelve genes constituted the UPR-related signature. Patients with higher risk scores had worse overall survival (OS) in training and three validation sets. The UPR-related signature was closely correlated with clinicopathologic parameters and could serve as an independent prognostic factor. M0 macrophages showed a significantly infiltrated difference in both risk groups. TMB analysis showed that the risk score in the wild type and mutation type of FGFR3 was significantly different. GSEA indicated that the immune-, extracellular matrix-, replication and repair associated pathways belonged to the high risk group and metabolism-related signal pathways were enriched in the low risk group. Prediction of immunotherapy and chemotherapy revealed that patients in the high risk group might benefit from chemotherapy, but had a worse response to immunotherapy. Finally, we constructed a predictive model with age, stage, and UPR-related risk score, which had a robustly predictive performance and was validated in GEO datasets.Conclusion: We successfully constructed and validated a novel UPR-related signature in bladder cancer, which could robustly predict survival outcomes and closely correlate with the response to immunotherapy and chemotherapy in bladder cancer.
Diagnostic Value of Radiomics Analysis in Contrast-Enhanced Spectral Mammography for Identifying Triple-Negative Breast Cancer
Authors: Zhang Yongxia , Liu Fengjie , Zhang Han , Ma Heng , Sun Jian , Zhang Ran , Song Lei , Shi Hao 
Published: December 2021

PurposeTo evaluate the value of radiomics analysis in contrast-enhanced spectral mammography (CESM) for the identification of triple-negative breast cancer (TNBC).MethodCESM images of 367 pathologically confirmed breast cancer patients (training set: 218, testing set: 149) were retrospectively analyzed. Cranial caudal (CC), mediolateral oblique (MLO), and combined models were built on the basis of the features extracted from subtracted images on CC, MLO, and the combination of CC and MLO, respectively, in the tumour region. The performance of the models was evaluated through receiver operating characteristic (ROC) curve analysis, the Hosmer-Lemeshow test, and decision curve analysis (DCA). The areas under ROC curves (AUCs) were compared through the DeLong test.ResultsThe combined CC and MLO model had the best AUC and sensitivity of 0.90 (95% confidence interval: 0.85–0.96) and 0.97, respectively. The Hosmer–Lemeshow test yielded a non-significant statistic with p-value of 0.59. The clinical usefulness of the combined CC and MLO model was confirmed if the threshold was between 0.02 and 0.81 in the DCA.ConclusionsMachine learning models based on subtracted images in CESM images were valuable for distinguishing TNBC and NTNBC. The model with the combined CC and MLO features had the best performance compared with models that used CC or MLO features alone.