bluuebunny/crossref_metadata_2025_split huggingface dataset:
Do Psychiatric Disorders Influence the Risk of Female Cancer? Results From a Genetic Study
Authors: Zhu Jingjing , Zhang Haoyu , Niu Zheng , Song Jing , Jiang Xia 
Published: December 2020

Abstract
Background: Depression and anxiety contribute to an increased global burden of disease and affect women more often than men. Despite evidence from experimental data showing a shared biological mechanism involved in both mental health disorders and female hormone-dependent cancers, results from epidemiological investigations remain inconsistent.Methods: We aim to understand a putative causal relationship between psychological distress and female malignancy by conducting a two-sample Mendelian randomization (MR) analysis. We used summary statistics from the hitherto largest genome-wide association studies (GWAS) performed in depression (Ncase=246,363), anxiety (Ncase=44,465), breast (Ncase=122,977) and ovarian (Ncase=25,509) cancer. We constructed strong instruments using the 102 depression-associated SNPs, the 6 anxiety-associated SNPs, and applied several MR approaches.Results: We found that genetic predisposition to depression significantly increased the risk of both overall breast cancer (OR [95%CI] = 1.10 [1.03-1.18]) and its estrogen receptor (ER)- subtype (1.12 [1.01-1.24]), while a borderline significance was observed for ER+ subtype (1.08 [0.99-1.18]). These findings were corroborated by our genetic correlation analysis where a significantly shared genetic basis was observed for depression and breast cancer. On the contrary, we did not identify any causal association of anxiety with breast cancer. None of the mental health traits were associated with the onset of ovarian cancer or its serous subtype. Sensitivity analyses using different sets of instruments revealed consistent results.Conclusions: Our findings suggest that poor mental health condition such as major depression disorder is likely to be causally associated with the development of breast cancer, providing evidence supporting for the potential deleterious consequence of mental illness on cancer onset.
Microbiology and Risk Factors of Surgical Site Infection in Limb Fractures
Authors: Luo Junchao , Chen Xinji , Tong Yu , Zhang Yin , Zhang Wei , Hong Zheping , Bi Qing , Qiong Zhang 
Published: December 2020

Abstract
Background: Limb fractures are becoming more common, and implant implants increase the risk of surgical site infection.The purpose of this study was to identify risk factors and microbiological characteristics for surgical site infection of limb fractures.Methods: We reviewed the data of 4,478 patients with limb fractures treated at Zhejiang Provincial People's Hospital from January 2010 to January 2020, including demographic, fracture, and microbiological characteristics. Chi-square tests and multivariate logistic regression were used to identify risk factors.Results: Staphylococcus aureus is a major threat to surgical site infection of limb fractures (26.46%). Open fractures are a risk factor for gram-negative infections. The following factors are considered as risk factors for surgical site infection: lower limb fractures, diabetes mellitus (OR 2.911 ; 95% CI 1.767-4.793), hypoproteinemia (OR 5.153 ; 95% CI 2.478-10.714), vascular injury(OR 8.531 ; 95% CI 4.028-18.070), nerve injury(OR 1.966 ; 95% CI 1.132-3.414) and open fractures (OR 9.561 ; 95% CI 6.565-13.925).Conclusions: Patients with these factors are at risk of surgical site infection after open reduction and internal fixation, and orthopedic surgeons should pay attention to these patients.
Value of 3D Preoperative Planning for Primary Total Hip Arthroplasty Based on Artificial Intelligence Technology
Authors: Huo Jiabang , Huang Guangxin , Han Dong , Wang Xinjie , Bu Yufan , Chen Ya , Cai DaoZhang , Zhao Chang 
Published: December 2020

Abstract
Background: Accurate preoperative planning is an important step for accurate reconstruction in total hip arthroplasty (THA). Presently, preoperative planning is completed using either a two-dimensional (2D) template or three-dimensional (3D) mimics software. With the development of artificial intelligence (AI) technology, AI HIP, a planning software based on AI technology can quickly and automatically identify acetabular and femur morphology, and automatically match the optimal prosthesis size. However, the accuracy and feasibility of its clinical application still needs to be further verified. The purposes of this study were to investigate the accuracy and time efficiency of AI HIP in preoperative planning for primary THA, compared with 3D mimics software and 2D digital template; and further analyze the factors that influence the accuracy of AI HIP.Methods: A prospective study was conducted on 53 consecutive patients (59 hips) undergoing primary THA with cementless prostheses in our department. All preoperative planning was completed using AI HIP as well as 3D mimics and 2D digital template. The predicted component size and the actual implantation results were compared to determine the accuracy. The templating time was compared to determine the efficiency. Furthermore, the potential factors influencing the accuracy of AI HIP were analyzed including sex, body mass index (BMI), and hip dysplasia.Results: The accuracy in predicting the acetabular cup and femoral stem was 74.58% and 71.19%, respectively, for AI HIP; 71.19% (P = 0.743) and 76.27% (P = 0.468), respectively, for 3D mimics; 40.68% (P < 0.001) and 49.15% (P = 0.021), respectively, for 2D digital templating. The templating time using AI HIP was 3.91±0.64 min, which was equivalent to 2D digital templates (2.96±0.48 min, P < 0.001), but shorter than 3D mimics (32.07±2.41 min, P < 0.001). Acetabular dysplasia(P = 0.021), rather than sex and BMI, was an influential factor in the accuracy of AI HIP templating. Compared to patients with developmental dysplasia of the hip (DDH), the accuracy of acetabular cup in the non-DDH group was better (P = 0.021), but the difference in the accuracy of the femoral stem between the two groups was statistically insignificant (P = 0.062).Conclusion: AI HIP showed excellent reliability for component size in THA. Acetabular dysplasia may affect the accuracy of AI HIP templating.
Identifying Interacting Proteins of Arabidopsis Cyclophilin38 (AtCYP38), a Key Factor for PSII Assembly/Repair, via Multiple Screening Approaches
Authors: Hao Yaqi , Chu Jiashu , Shi Lujing , Ma Cong , Hui Liangliang , Cao Xiaofei , Wang Yuhua , Xu Min , Fu Ai-Gen 
Published: December 2020

Abstract
BackgroundAtCYP38, a thylakoid lumen localized immunophilin, is essential for photosystem II (PSII) assembly and maintenance, but how AtCYP38 functions in chloroplast remains unknown. Based on previous functional studies and its crystal structure, we hypothesize that AtCYP38 should function via binding its targets or cofactors in the thylakoid lumen to influence PSII performance. Therefore, identifying its target proteins and cofactors would be a key step to understand the working mechanism of AtCYP38.ResultsTo identify potential interacting proteins of AtCYP38, we first adopted two web-based tools, ATTED-II and STRING, and found 15 proteins functionally related to AtCYP38. We then screened a yeast two-hybrid library including an Arabidopsis genome wide cDNA with the N-terminal domain, the C-terminal domain, and the full-length mature protein of AtCYP38. 25 positive targets were identified, but a very limited number of target proteins were localized in the thylakoid lumen. In order to specifically search interacting proteins of AtCYP38 in the thylakoid lumen, we created a yeast two-hybrid mini library including the thylakoid lumenal proteins and lumen fractions of thylakoid membrane proteins. After screening the mini library with 3 different forms of AtCYP38, we obtained 6 thylakoid membrane proteins and 9 thylakoid lumenal proteins as interacting proteins of AtCYP38. We further confirmed the localization of several identified proteins and their interaction between AtCYP38.ConclusionsAfter analysis with two web-based tools and yeast two-hybrid screenings against two different libraries, we identified a couple of potential interacting proteins, which could be functionally related to AtCYP38. We believe that the results will lay a foundation for unveiling the working mechanism of AtCYP38 in photosynthesis.
Towards Health Equity for People Experiencing Chronic Pain and Social Marginalization
Authors: Wallace Bruce , Varcoe Colleen , Holmes Cindy , Moosa-Mitha Mehmoona , Moor Gregg , Hudspith Maria , Craig Kenneth D 
Published: December 2020

Abstract
Objective: For people who experience inequities and structural violence, pain and related care are inexorably linked to experiences of injustice and stigma.Methods: A community-based qualitative study included four focus groups with 36 people living with pain from groups known to experience high levels of inequities and structural violence including an Indigenous group, a LGBTQ2S group, and two newcomer and refugee groups. Results: Pain was entangled with and shaped by: social locations and identities, experiences of violence, trauma and related mental health issues, experiences of discrimination, stigma and dismissal, experiences of inadequate and ineffective health care, and the impacts of these intersecting experiences.Conclusions: Equity-oriented responses to chronic pain would establish pain not only as a biomedical issue but as a social justice issue. The EQUIP Framework is an approach to integrating trauma- and violence-informed care; culturally-safe care; and harm reduction in health care that may hold promise for being tailored to people experiencing pain and social marginalization.
Prognostic Significance of Alternative Splicing Genes in Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma
Authors: Wang Xiaoyu , Tang Weichun , Lu Yilin , You Jun , Han Yun , yanli zheng 
Published: December 2020

Abstract
AS acts on many tumors and its relationship with CESC needs to be researched. TCGA provided Data. SpliceSeq analyzed Splicing profiles. UpSetR displayed the intersections among AS events. Univariate analysis chose survival-associated AS and SF genes. Functional analysis was operated on Enrichr. STRING evaluated PPI information. MCODE searched clustered sub-networks. LASSO and multivariate analysis constructed prognostic model. Risk analysis of tumor infiltrating immune cells was also conducted. 402 AS-generated genes were found to be associated with CESC prognosis. Functional analysis showed that Golgi to lysosome transport was enriched. PPI suggested that UBA52 was most functional. Dendritic cells activated, Dendritic cells resting, Macrophages M0, Mast cells resting, T cells CD4 memory activated and T cells CD8 were most correlative with riskscore. This study identified SNRPA and CELF2 as two CESC-engaged SFs.
Dumping-Like Symptoms After Roux-En-Y Gastric Bypass: Case Report
Authors: Sneineh Midhat Abu , Dillemans Bruno 
Published: December 2020

Abstract
BackgroundInsulinomas are the most common neuroendocrine tumors of the pancreas, they are rarely suspected as a cause of hyperinsulinemia in morbidly obese patients because these patients have hyperinsulinemia as a result of insulin resistance. One of the complications of LRYGB is dumping syndrome. The pathophysiology of this hypoglycemia after LRYGB is not well understood, and many theories have been proposed such as excessive GLP-1, nesidioblastosis, and increased glucose effectiveness.Case PresentationA 37-year-old female patient with a past history of LRYGB 6 years ago, diagnosed as having late dumping syndrome because of complaints of perspiration, palpitations, hunger, fatigue, aggression, and confusion not related to eating. After the failure of dietician counseling to treat her symptoms, biochemical tests were performed to investigate other possible causes of her symptoms such as hyperinsulinemia, Oral Glucose Tolerance Test demonstrated deep hypoglycemia after 90 min. MRI and endoscopic ultrasound were performed and demonstrated the presence of a well differentiated endocrine tumor of approximately 1.8 cm in diameter in the body of the pancreas. ConclusionBariatric surgeons should be aware of metabolic conditions including hypoglycemia, as a treatable cause of dumping-like symptoms.
Tuberculin Skin Test in Spondyloarthritis: Overestimated if Rheumatoid Arthritis Guidelines for Latent Tuberculosis Are Used?
Authors: İlgen Ufuk , Karadağ Ömer , Emmungil Hakan , Küçükşahin Orhan , Koca Süleyman Serdar , Erden Abdülsamet , Bes Cemal , Kanıtez Nilüfer Alpay , Dalkılıç Ediz , Akar Servet , Mercan Rıdvan , Çınar Muhammet , Kaşifoğlu Timuçin , Gönüllü Emel , Kimyon Gezmiş , Ersözlü Duygu , Atagündüz Pamir , Kılıç Levent , Ertenli İhsan , Yazısız Veli , Ateş Aşkın , Kiraz Sedat , Kalyoncu Umut 
Published: December 2020

Abstract
Background: Several societies published recommendations for latent tuberculosis infection (LTBI) screening before biological and targeted synthetic disease-modifying anti-rheumatic drugs (DMARDs) in rheumatoid arthritis (RA) but not for other inflammatory arthritides such as spondyloarthritis (SpA). Using RA guidelines could result in overestimating Tuberculin Skin Test (TST) positivity in SpA. This study aimed to compare the distribution of TST results in SpA and RA patients along with comparison in terms of QuantiFERON®-TB Gold In-Tube (QFT-GIT) test in a Bacillus Calmette-Guérin-vaccinated population.Methods: Adult RA (n=206) and SpA (n=392) patients from the TReasure database who had both TST and QFT-GIT prior to initiation of biological and targeted synthetic DMARDs were included in the study. Demographic and disease characteristics along with pre-biologic DMARD and steroid use were recorded. The distribution of TST and performance with respect to QFT-GIT were compared between RA and SpA groups.Results: Pre-biologic conventional DMARD and steroid use was higher in the RA group. TST positivity rates were 44.2% in RA and 69.1% in SpA for a 5 mm cut-off (p<0.001). QFT-GIT positivity was slighlty higher in the SpA group (15% vs 8.9%, p=0.075). QFT-GIT positivity and disease category independently predicted a 5 mm or higher TST. The two tests poorly agreed in both groups at a TST cut-off of 5 mm (κ<0.1 for both groups). Increasing the TST cut-off only slightly increased the agreement between the two tests.Conclusions: TST positivity was more pronounced in SpA compared to that in RA and this was not explainable by pre-biologic DMARD and steroid use. The agreement of TST with QFT-GIT was poor in both groups. Using a 5 mm TST cut-off for both diseases could result in overestimating LTBI in SpA.
Oral Care for Intensive Care Unit Patients Without Mechanical Ventilation: Protocol for a Systematic Review and Meta-Analysis
Authors: Tang Xiaoxia , Shen Yunxia , Pan Xuejiao , Liao Jianglong , Xu Yanfei , Luo Wen , Zhang Xiaolin , Li Chun’e , Wan Qing , Cai Xin , Zhang Xiaomei , Wang Tao , Zhang Guilan 
Published: December 2020

Abstract
BackgroundInfection is a common problem and a major cause of morbidity and mortality for patients in intensive care units (ICUs). Oral care has been found to reduce the risk of nosocomial pneumonia according to published meta-analysis, and has been recommended to improve the oral environment for the patients in ICUs. However, relatively little information is available about the effects of oral care in patients without ventilatory support in ICUs. Therefore, this study was designed to evaluate the effectiveness of oral care in preventing pneumonia in non-ventilated ICUs patients.MethodsThe literature source will be gained from eight databases including four Chinese online databases and four English online databases from their inception to December 31, 2020. Records obtained will be managed and screened via Endnote X7，a widely used reference management software. The duplicate literature will be removed. All literature will be selected in accordance with pre-established inclusion criteria by two independent review authors to obtain quality trials. The quality of the included records will be evaluated according to “Risk of table”, recommended by Cochrane Handbook for Systematic Reviews of Interventions. All the data will be extracted by one author and checked by another. If there is any disagreement, a final agreement will be reached with a third reviewer via consulting. The data obtained will be managed via Microsoft Excel. If there is missing data, the original authors will be emailed to ask for it. If enough data was collected, the data synthesis will be performed using Review Manager (RevMan5.3). Otherwise, only the qualitative analysis will be carried out. The overall effect will be estimated on oral care for intensive care unit patients without mechanical ventilation to prevent nosocomial pneumonia using random effect model or fixed effect model base on the heterogeneity results. The sources of heterogeneity will be performed using Meta-regression and subgroup analysis if there is significant heterogeneity. The funnel plot will be used to assess the publish bias, if there are enough records included. The Cochrane Handbook for Systematic Reviews of Interventions will be followed throughout the system evaluation process.ConclusionThis study will provide evidence of oral care for intensive care unit patients without mechanical ventilation to prevent nosocomial pneumonia.PROSPERO Research registration identifying numberCRD42020146932
Performance of Statistical and Machine Learning-Based Methods for Predicting Biogeographical Patterns of Fungal Productivity in Forest Ecosystems
Authors: Morera Albert , de Aragón Juan Martínez , Bonet José Antonio , Liang Jingjing , de-Miguel Sergio 
Published: December 2020

Abstract
BackgroundThe prediction of biogeographical patterns from a large number of driving factors with complex interactions, correlations and non-linear dependences require advanced analytical methods and modelling tools. This study compares different statistical and machine learning models for predicting fungal productivity biogeographical patterns as a case study for the thorough assessment of the performance of alternative modelling approaches to provide accurate and ecologically-consistent predictions.MethodsWe evaluated and compared the performance of two statistical modelling techniques, namely, generalized linear mixed models and geographically weighted regression, and four machine learning models, namely, random forest, extreme gradient boosting, support vector machine and deep learning to predict fungal productivity. We used a systematic methodology based on substitution, random, spatial and climatic blocking combined with principal component analysis, together with an evaluation of the ecological consistency of spatially-explicit model predictions.ResultsFungal productivity predictions were sensitive to the modelling approach and complexity. Moreover, the importance assigned to different predictors varied between machine learning modelling approaches. Decision tree-based models increased prediction accuracy by ~7% compared to other machine learning approaches and by more than 25% compared to statistical ones, and resulted in higher ecological consistence at the landscape level.ConclusionsWhereas a large number of predictors are often used in machine learning algorithms, in this study we show that proper variable selection is crucial to create robust models for extrapolation in biophysically differentiated areas. When dealing with spatial-temporal data in the analysis of biogeographical patterns, climatic blocking is postulated as a highly informative technique to be used in cross-validation to assess the prediction error over larger scales. Random forest was the best approach for prediction both in sampling-like environments as well as in extrapolation beyond the spatial and climatic range of the modelling data.
Essential Information for Transition of Care for Frail Elderly Patients in Japan: A Qualitative Study
Authors: Matsumura Shinji , Ozaki Makiko , Kanno Tetsuya , Iioka Tomomi , Bito Seiji 
Published: December 2020

Abstract
Background: Information exchange between hospitals and primary care physicians is suboptimal. Most physicians are dissatisfied with the current referral process, and poor communication leads to negative care transition outcomes.Methods: To identify the key information needed in referral letters for successful transition of care. We conducted a qualitative study using consecutive, semi-structured in-person interviews and focus group sessions. We recruited 5 participants for individual interviews and 16 participants for focus groups. All participants were engaged in clinical work. We analyzed all data using qualitative thematic analysis. Interview transcripts were analyzed inductively and reflectively. All results were returned to the participants and modified based on their feedback. Results: The five individual interviews provided a general picture of the current referral process and a useful interview guide for the following focus group sessions. The focus group discussions were used to identify the essential care transition information needed at admission and discharge from the hospital. Essential information on hospital admission were: 1) Basic medical and care information, 2) Care resources available at home, 3) The purpose of admission and the goals of care during hospitalization, and 4) Status of advance care planning (ACP) and patient’s will in an emergency. Essential information on hospital discharge were: 1) Clinical course, 2) Explanation of medical condition during hospitalization, 3) Status of ACP and patient’s will in an emergency, and 4) Medical procedures to be continued at home. Conclusion: We identified the essential information needed for successful transition of care in Japan, particularly on admission to and discharge from acute hospitals. The clinical effectiveness of a template that contains the information identified in our study warrants investigation.
Criminal Convictions in Norwegian Female and Male Adult ADHD&nbsp;Outpatients: Prevalence and Associations With ADHD&nbsp;Symptom Severity and Emotional Dysregulation
Authors: ANKER Espen , Ginsberg Ylva , Heir Trond 
Published: December 2020

Abstract
ObjectivesAttention Deficit Hyperactivity Disorder (ADHD) often co-occurs with antisocial behaviour. Several studies have shown high rates of ADHD among prisoners. However, the prevalence of crime among individuals with ADHD is less known. The aim of the present study was to estimate the prevalence of lifetime criminal conviction (CC) in a clinical sample of adults with ADHD, and the associations with severity of ADHD and emotional dysregulation (ED). MethodsPatients were admitted to a private psychiatric outpatient clinic in Oslo between 2014 and 2018. Out of 656 patients diagnosed with ADHD, 629 (95.9%) agreed to participate in the study. CC was determined based on self-reporting of the lifetime history of criminal behaviour. ADHD was diagnosed according to DSM-5 criteria, and the ADHD severity was measured using the Adult ADHD Self Report Scale (ASRS). ED was assessed by the eight-item version of Barkley’s Current Behaviour Scale - Self Report (CBS-SR). ResultsThe prevalence of self-reported CC in this clinical sample was 11.7% among women and 24.5% among men. CC was associated with hyperactive-impulsive severity (p<0.001) and ED (p=0.006).ConclusionsThe prevalence of self-reported lifetime criminal conviction was high for both genders. CC was associated with symptom severity of hyperactivity-impulsivity and emotional dysregulation.