bluuebunny/crossref_metadata_2025_split huggingface dataset:
WITHDRAWN: lncRNA HAND2-AS1 is Down Regulated in Osteoarthritis and Regulates IL‐6 Expression in Chondrocyte
Authors: Si Zhenxing , Zhou Shifeng , Shen Zilong , Luan Feiyu , Yan Jinglong 
Published: October 2020

Abstract

Background: Osteoarthritis (OA) is a leading cause of disability. The incidence of OA is progressively rising due to the diminishing levels of physical activity and ever-expanding ageing population. However, the mainstay for OA treatment only can improve symptoms without delay the progression of this severe disease. This study aimed to explore the biological role and clinical function of lncRNA HAND2-AS1 in OA.Methods: Blood samples and synovial fluid were collected from OA patients and normal subjects. HAND2-AS1 expression was detected by qRT-PCR and IL-6 expression was detected by ELISA; The plasma levels of HAND2-AS1 were also detected in different ages, stages and gender of OA patients and controls. Furthermore, the ROC curve was used to analyze whether HAND2-AS1 can distinguish OA patients from normal subjects. Also, Pearson correlation coefficient analysis was used to analyze the correlation between lncRNA HAND2-AS1 and IL-6. In addition, western blot was used to detect the IL-6 level upon HAND2-AS1 overexpression in chondrocytes and qRT-PCR was used to detect the HAND2-AS1 level after endogenous IL-6 treatment. Results: HAND2-AS1 and IL-6 were dysregulated in plasma and synovial fluid of OA patients. The expression of HAND2-AS1 in plasma of OA patients was decreased with aging and progression. Furthermore, HAND2-AS1 downregulation effectively distinguished OA patients from the healthy controls. Overexpression of HAND2-AS1 inhibited IL‐6 expression in chondrocytes, while treatment with exogenous IL‐6 did not affect HAND2-AS1 expression. Conclusion: HAND2-AS1 effectively distinguished OA patients from the healthy controls and regulates IL‐6 expression in human chondrocytes. Abbreviations: Long non-coding RNA, lncRNA; Osteoarthritis, OA; Interleukin 6, IL‐6; Negative control plasmid, NC; Real‐time quantitative polymerase chain reaction, qRT-PCR; Enzyme‐linked immunosorbent assay, ELISA; Receiver operating characteristic curve, ROC; Trial registration: ChiCTR, ChiCTR2000038635. Registered 11 February 2019, http:// http://www.chictr.org.cn/ ChiCTR2000038635
Quantitation of Cancer Treatment Response by FDG PET/CT: Multi-center Assessment of Measurement Variability Using AUTO-PERCISTTM
Authors: O JooHyun , Lim Su Jin , Wang Hao , Leal Jeffrey P. , Shu Hui-Kuo G. , Wahl Richard L. 
Published: October 2020

Abstract
Background: The aim of this study was to assess the reader variability in quantitatively assessing pre- and post-treatment F-18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) scans in a defined set of images of cancer patients using the same semi-automated analytical software (Auto-PERCIST™), which identifies tumor peak standard uptake value corrected for lean body mass (SULpeak) to determine 18F-FDG PET quantitative parameters.Methods: Paired pre- and post-treatment FDG PET/CT images from 30 oncologic patients and Auto-PERCIST™ semi-automated software were distributed to 13 readers across US and international sites. One reader was aware of the relevant medical history of the patients (readreference), whereas the 12 other readers were blinded to history but had access to the correlative images. Auto-PERCIST™ was set up to first automatically identify the liver and compute the threshold for tumor measurability (1.5 x liver mean) + (2 x liver standard deviation [SD]), and then detect all sites with SULpeak greater than the threshold. Next, the readers selected sites they believed to represent tumor lesions. The main performance metric assessed was the percent change in the SULpeak (%ΔSULpeak) of the hottest tumor identified on the baseline and follow up images. Results: The intra-class correlation coefficient (ICC) for the %ΔSULpeak of the hottest tumor was 0.87 (95%CI: [0.78, 0.92]) when all reads were included (n=297). Including only the measurements that selected the same target tumor as the readreference (n=224), the ICC for %ΔSULpeak was 1.00 (95%CI: [1.00, 1.00]). The Krippendorff alpha coefficient for response (complete or partial metabolic response, versus stable or progressive metabolic disease on PET Response Criteria in Solid Tumors 1.0) was 0.91 for all reads (n=380), and 1.00 including for reads with the same target tumor selection (n=270).Conclusion: Quantitative tumor FDG SULpeak changes measured across multiple global sites and readers utilizing Auto-PERCIST™ show very high correlation. Harmonization of methods to single software, Auto-PERCIST™, resulted in virtually identical extraction of quantitative tumor response data from FDG PET images when the readers select the same target tumor.
Preliminary Study of Ai-assisted Diagnosis Using FDG-PET/CT&nbsp;for Axillary Lymph Node Metastasis in Patients With Breast Cancer
Authors: Li Zongyao , Kitajima Kazuhiro , Hirata Kenji , Togo Ren , Takenaka Junki , Miyoshi Yasuo , Kudo Kohsuke , Ogawa Takahiro , Haseyama Miki 
Published: October 2020

Abstract
Background: To improve the diagnostic accuracy of axillary lymph node (LN) metastasis in breast cancer patients using FDG-PET/CT, we constructed an artificial intelligence (AI)-assisted diagnosis system that uses deep-learning technologies.Materials and Methods: Two clinicians and the new AI system retrospectively analyzed and diagnosed 414 axillae of 407 patients with biopsy-proven breast cancer who had undergone FDG-PET/CT before a mastectomy or breast-conserving surgery with a sentinel lymph node (LN) biopsy and/or axillary LN dissection. We designed and trained a deep 3D convolutional neural network (CNN) as the AI model. The diagnoses from the clinicians were blended with the diagnoses from the AI model to improve the diagnostic accuracy.Results: Although the AI model did not outperform the clinicians, the diagnostic accuracies of the clinicians were considerably improved by collaborating with the AI model: the two clinicians' sensitivities of 59.8% and 57.4% increased to 68.6% and 64.2%, respectively, whereas the clinicians' specificities of 99.0% and 99.5% remained unchanged.Conclusions: It is expected that AI using deep-learning technologies will be useful in diagnosing axillary LN metastasis using FDG-PET/CT. Even if the diagnostic performance of AI is not better than that of clinicians, taking AI diagnoses into consideration may positively impact the overall diagnostic accuracy.
Feasibility of Self-Administered Electroencephalography-Based Sleep Assessment in Children and Adults: Data From The SCREENS Pilot Trial
Authors: Pedersen Jesper , Rasmussen Martin Gillies Banke , Olesen Line Grønholt , Kristensen Peter Lund , Grøntved Anders 
Published: October 2020

Abstract
Background Sleep is a crucial part of our lives and insufficient sleep has been linked to several health disorders in both children and adults. However, most studies are based on single night laboratory polysomnography, actigraphy, or sleep diaries. The primary aim of this study was to evaluate the feasibility of a novel self-administered electroencephalography-based (EEG-based) sleep assessment protocol in a sample of children and adults for six nights. The secondary aim was to report sleep parameters derived from the Zmachine.Methods We analyzed data from 12 families who participated in the SCREENS pilot trial (2018-2019). Children (n=14) and adults (n=19) had to undergo three nights of EEG-based sleep assessment at baseline and follow-up. We assessed compliance to the sleep assessment protocol and summarized perceived feasibility in children and adults. Summary estimates were computed for several sleep parameters.Results Compliance to the sleep assessment protocol was high with 92.9 % and 89.4% of children and adults meeting the a priori specified compliance goal of at least two out of three nights of complete sleep data at both baseline and follow-up. In general, the protocol was perceived as feasible, with low prevalence of sleep disruption and only minor issues, e.g. difficulties with removing sensors. Results on sleep parameters indicate large within group variation.Conclusions Our findings support the use of a self-administered EEG-based habitual sleep assessment protocol, including multiple days of measurement, in children and adults.Trial registration Cilinicaltrials.gov: NCT03788525 [Secondary outcome measures; Retrospectively registered; 27th December, 2018] https://clinicaltrials.gov/ct2/show/NCT03788525 .
DDB2 Regulates DNA Replication through PCNA-Independent Degradation of CDT2
Authors: Wu Xiaojun , Yu Min , Zhang Zhuxia , Leng Feng , Ma Yue , Xie Ni , Lu Fei 
Published: October 2020

Abstract
BackgroundTargeting ubiquitin-dependent proteolysis is one of the strategies in cancer therapy. CRLCDT2 and CRLDDB2 are two key E3 ubiquitin ligases involved in DNA replication and DNA damage repair. But CDT2 and DDB2 are opposite prognostic factors in kinds of cancers, and the underlining mechanism needs to be elucidated. MethodsSmall interfering RNAs were used to determine the function of target genes. Co-immunoprecipitation (Co-IP) was performed to detect the interaction between DDB2 and CDT2. Immunofluorescence assays and fluorescence activating cell sorting (FACS) were used to measure the change of DNA content. In vivo ubiquitination assay was carried out to clarify the ubiquitination of CDT2 mediated by DDB2. Cell synchronization was performed to arrest cells at G1/S and S phase. The mechanism involved in DDB2-mediated CDT2 degradation was investigated by constructing plasmids with mutant variants and measured by Western blot. Immunohistochemistry was performed to determine the relationship between DDB2 and CDT2. Paired two-side Student’s t-test was used to measure the signiﬁcance of the difference between control group and experimental group.Results Knockdown of DDB2 stabilized CDT2, while over-expression of DDB2 enhanced ubiquitination of CDT2, and subsequentially degradation of CDT2. Although both DDB2 and CDT2 contain PIP (PCNA-interacting protein) box, PIP box is dispensable for DDB2-mediated CDT2 degradation. Knockdown of PCNA had negligible effects on the stability of CDT2, but promoted accumulation of CDT1, p21 and SET8. Silencing of DDB2 arrested cell cycle in G1 phase, destabilized CDT1 and reduced the chromatin loading of MCMs, thereby blocked the formation of polyploidy induced by ablation of CDT2. In breast cancer and ovarian teratoma tissues, high level of DDB2 was along with lower level of CDT2.ConclusionWe found that CRL4DDB2 is the novel E3 ubiquitin ligases of CDT2, and DDB2 regulates DNA replication through indirectly regulates CDT1 protein stability by degrading CDT2 and promotes the assembly of pre-replication complex. Our results broaden the horizon for understanding the opposite function of CDT2 and DDB2 in tumorigenesis, and may provide clues for drug discovery in cancer therapy.
Knowledge, Attitude and Practice of Personal Safety Measures Adopted by Medical Practioners During the COVID 19 Pandemic
Authors: Kukreja Hemapriya.L , Tigga Maureen Prativa , Wali Neha , Prathap.T  , R Anil Kumar M , Chandran Shreya 
Published: October 2020

Abstract
Introduction: A novel coronavirus (now termed as SARS-CoV 2) was detected as causative agent of severe pneumonia in Wuhan, Hubei Province, China in December 2019. Declared by the WHO as a global pandemic in March 2020, it has created profound changes in global economy and healthcare systems. COVID-19 is transmitted through close contact and droplets with healthcare professionals at significant risk of acquiring the infection, thus requiring to protect themselves. Various measures help in protecting the professionals from contracting the infection. These include hand hygiene, N95 masks, goggles, gloves, gowns, face shields, coveralls and frequent sanitization. Healthcare professionals need to be educated in these various modalities with proper protocols and policies enacted by the health institutions. This study evaluates the knowledge, attitude and practice of various personal safety measures used by the healthcare professionals.Materials and Methods: After institution ethical committee approval, we conducted an online survey with a preformatted questionnaire consisting of multiple choice questions which assessed the knowledge, attitude and practices adopted by the various healthcare professionals. The survey was done between 1st - 30th of June 2020 and a total of 536 responses were analyzed. Results: 58.4% of the participants were females, 66% of the healthcare workers worked at a private hospital/ private medical college with 82.1% being located in urban areas. Of the 536 respondents, 90.1% practiced bathing immediately after returning home and 86.8% sanitized their accessories. 86.9% of the professionals used frequent sanitization with use of mask and gloves whereas only 12.3% used full personal protective equipment. 58% of females had used Hydroxychloroquine as prophylaxis whereas only 41% of males used it ( statistically significant, p = 0.005 ). Healthcare workers in younger age group ( 23-40 years ) were more likely to maintain distance with family members and government doctors were significantly more likely to do so ( p< 0.001 ) as compared to private practitioners. Conclusion: With the medical professionals being at high risk for contracting the infection, the need to provide the healthcare professionals with adequate personal protective equipment is of utmost importance. There is also a need to maintain the well-being of the healthcare professionals as they are the weakest link in the chain.
Predicting recurrence of non-small cell lung cancer based on mean computed tomography value
Authors: Tamura Masaya , Matsumoto Isao , Tanaka Yusuke , Saito Daisuke , Yoshida Shuhei , Takata Munehisa 
Published: October 2020

Abstract
BackgroundThe aim of this study was to assess the ability of using mean computed tomography (mCT) values to predict non-small cell lung cancer (NSCLC) tumor recurrence. MethodsA retrospective study was conducted on 494 patients with stage IA NSCLC. Receiver operating characteristics analysis was used to assess the ability to use mCT value, C/T ratio, tumor size, and SUV to predict tumor recurrence. Multiple logistic regression analyses were performed to determine the independent variables for the prediction of tumor recurrence. ResultsThe m-CT values were -213.7 ± 10.2 Hounsfield Units (HU) for the recurrence group and -594.1 ± 11.6 HU for the non-recurrence group (p < 0.0001). The tumor recurrence group was strongly associated with a high CT attenuation value, high C/T ratio, large solid tumor size, and SUV. The diagnostic value of mCT value was more accurate than the C/T ratio, excluding the pure ground-glass opacity and pure solid (0<C/T ratio<100) groups. The SUV and mCT are independent predictive factors of tumor recurrence. ConclusionsThe evaluation of mCT values was useful for predicting recurrence after the limited resection of small-sized NSCLC, and may potentially contribute to the selection of suitable treatment strategies.
Diabetes, even newly defined by HbA1c testing, is associated with an increased risk of in-hospital death in adults with COVID-19
Authors: Liu Ye , Lu Ran , Wang Junhong , Cheng Qin , Zhang Ruitao , Zhang Shuisheng , Le Yunyi , Wang Haining , Xiao Wenhua , Gao Hongwei , Zeng Lin , Hong Tianpei 
Published: October 2020

Abstract
Aims: Diabetes is associated with poor coronavirus disease 2019 (COVID-19) outcomes. However, little is known on the impact of undiagnosed diabetes in the COVID-19 population. We investigated whether diabetes, particularly undiagnosed diabetes, was associated with an increased risk of death from COVID-19.Methods: This retrospective study identified adult patients with COVID-19 admitted to Tongji Hospital (Wuhan) from January 28 to April 4, 2020. Diabetes was determined using patients’ past history (diagnosed) or was newly defined if the hemoglobin A1c (HbA1c) level at admission was 6.5% (≥ 48 mmol/mol) (undiagnosed). The in-hospital mortality rate and survival probability were compared between the non-diabetes and diabetes (overall, diagnosed, and undiagnosed diabetes) groups. Risk factors of mortality were explored using Cox regression analysis. Results: Of 373 patients, 233 were included in the final analysis, among whom 80 (34.3%) had diabetes: 44 (55.0%) reported a diabetes history, and 36 (45.0%) were newly defined as having undiagnosed diabetes by HbA1c testing at admission. Compared with the non-diabetes group, the overall diabetes group had a significantly increased mortality rate (22.5% vs 5.9%, p <0.001). Moreover, the overall, diagnosed, and undiagnosed diabetes groups displayed lower survival probability in the Kaplan-Meier survival analysis (all p <0.01). Using multivariate Cox regression, diabetes, age, quick sequential organ failure assessment score, and D-dimer ≥ 1.0 mg/mL were identified as independent risk factors for in-hospital death in patients with COVID-19.Conclusions: The prevalence of undiagnosed pre-existing diabetes among patients with COVID-19 is high in China. Diabetes, even newly defined by HbA1c testing at admission, is associated with increased mortality in patients with COVID-19. Screening for undiagnosed diabetes by HbA1c measurement should be considered in adult Chinese inpatients with COVID-19.
Annual Trend of Neonatal Mortality and Its Underlying Causes: Populational Study – SÃO&nbsp;Paulo State, Brazil, 2004-2013
Authors: Guinsburg Ruth , Sanudo Adriana , Kiffer Carlos Roberto V , Marinonio Ana Silvia S , Costa-Nobre Daniela T , Areco Kelsy N , Kawakami Mandira D , Miyoshi Milton H , Bandiera-Paiva Paulo , Balda Rita de Cassia X , Konstantyner Tulio , Morais Liliam C , Freitas Rosa M , Teixeira Monica L , Waldvogel Bernadette , Almeida Maria Fernanda B 
Published: October 2020

Abstract
Background: Populational studies analyzing neonatal deaths in middle-income countries may contribute to design interventions to achieve the Sustainable Development Goals, established by United Nations. This study goal is to analyze the annual trend of neonatal mortality in São Paulo State, Brazil, over a 10-year period and its underlying causes and to identify maternal and neonatal characteristics at birth associated with neonatal mortality.Method: Populational study of births and deaths from 0-27 days between 2004-2013 in São Paulo State, Brazil. The annual trend of neonatal mortality rate according to gestational age was analyzed by Poisson or by Negative Binomial Regression models. Basic causes of neonatal death were classified according to ICD-10. Association of maternal demographic variables (block 1), prenatal and delivery care variables (block 2), and neonatal characteristics at birth (block 3) with neonatal mortality was evaluated by Poisson regression analysis adjusted by year of birth. Results: Among 6,056,883 live births in São Paulo State during the study period, 48,309 died from 0-27 days (neonatal mortality rate: 8.0/1,000 live births). For the whole group and for infants with gestational age 22-27, 28-31, 32-36, 37-41 and ≥42 weeks, reduction of neonatal mortality rate was, respectively, 18%, 15%, 38%, 53%, 31%, and 58%. Median time until 50% of deaths occurred was 3 days. Main basic causes of death were respiratory disorders (25%), malformations (20%), infections (17%), and perinatal asphyxia (7%). Variables independently associated with neonatal deaths were maternal schooling, prenatal care, parity, newborn sex, 1st minute Apgar, and malformations. Cesarean delivery, compared to vaginal, was protective against neonatal mortality for infants at 22-31 weeks, but it was a risk factor for those with 32-41 weeks.Conclusion: Despite the significant decrease in neonatal mortality rate over the 10-year period in São Paulo State, improved access to qualified health care is needed in order to avoid preventable neonatal deaths and increase survival of infants that need more complex levels of assistance.
Safety and Accuracy of Suction Rectal Biopsy in Preterm Infants
Authors: Zhang Yanan , Huang Jinshi , Chen Yongwei , Yang Shen , Gu Yichao , Hua Kaiyun , Zhao Yong 
Published: October 2020

Abstract
Purpose: Little attention were paid in the diagnosis of preterm infants with Hirschsprung disease (HD) in most pediatric surgeons. We aimed to explore the safety and accuracy of suction rectal biopsy (SRB) in preterm infants.Methods: A retrospective review was conducted on 45 preterm patients who underwent SRB from 2015 to 2019 in our hospital. We collected the clinical characteristics and pathology results of the patients, and followed up. The sensitivity and specificity of SRB for HD diagnosis were calculated.Results: The median gestational age of the patients was 35 weeks (range: 28.9 to 36.9 weeks) while the median gestational age at biopsy was 38.6 weeks (range: 33.4 to 60.0 weeks), and the median weight was 2790 g (range: 1580 to 4100 g). Fifteen cases (33.3%) were positive for HD which were confirmed after the pull-through surgery. The ganglion cells presented on 30 cases. And the diagnosis of HD was excluded in 29 patients after discharge follow-up. The sensitivity was supposed to be 93.7%-100% and specificity was 100%. Among the patients whose biopsy age is < 37 weeks (10 cases) or biopsy weight is < 2000 g (5 cases), no complications occurred after SRB.Conclusion: SRB is safe and accurate in late preterm infants.
Research Priorities for Rare Neurological Diseases: A Representative View of Patient Representatives and Health Care Professionals From the European Reference Network for Rare Neurological Diseases
Authors: Post Annemarie , Klockgether Thomas , Landwehrmeyer G. Bernhard , Pandolfo Massimo , Arnesen Astri , Reinhard Carola , Graessner Holm 
Published: October 2020

Abstract
Background: Patient involvement in research increases the impact of research and the likelihood of adoption in clinical practice. A first step is to know which research themes are important for patients. We distributed a survey on research priorities to ERN-RND members, both patient representatives and health care professionals, asking them to prioritize five research themes for rare neurological diseases on a scale ranging from 1 (most important) to 5 (least important). A follow-up e-mail interview was conducted with patient representatives and professionals to assess potential reasons for differences in opinions between these two groups.Results: In total, 156 responses were analysed: 61 from professionals and 95 from patient representatives. They covered all ERN-RND disease groups and came from 20 different EU countries. Almost half of the respondents considered ‘Developing therapies and preventive strategies’ the most important research theme. In particular, patient representatives prioritized this theme more often than professionals, while professionals prioritized ‘Disease mechanisms and models’. Patient representatives indicated that therapies and prevention were of the utmost importance to them, because their lives are often heavily impacted by the disease and their main goal is to relief the burden of disease. Professionals indicated that investigating disease mechanisms will lead to more knowledge and is indispensable for finding new treatments.Conclusions: Patients and professionals have different opinions on which research theme should have priority. A qualitative follow-up shows that they respect each others’ view points. Different stakeholders involved in research should be aware of their differences in research theme priority. Explaining these differences to each other leads to more understanding, and could improve patient engagement in research.