bluuebunny/crossref_metadata_2025_split huggingface dataset:
Use of non-operative treatment and interval cholecystectomy for cholecystitis in patients with cancer
Authors: Santos David , Ledet Celia Robinson , Limmer Angela , Gibson Heather , Badgwell Brian 
Published: May 2020

BackgroundEarly cholecystectomy (EC) for acute cholecystitis (AC) is standard. Often patients with cancer are not EC candidates and require non-surgical treatments. We analyzed factors associated with non-surgical treatments and progression to interval cholecystectomy (IC).Materials and methodsWe performed a case–control study reviewing consults for AC from 2001 to 2017 in a tertiary cancer center. Study patients had cancer, abdominal pain, and positive imaging studies. Univariate analysis and regression modeling evaluated associations between non-surgical management, resolution of AC, and IC.Results206 patients met the criteria. 20 underwent EC, 132 took antibiotics (ABX), and were treated with 54 percutaneous cholecystostomy tubes (PCTs). AC resolution was higher with PCT versus ABX (94% vs. 80%, p=0.02). Univariate analysis revealed higher absolute neutrophil counts (ANCs) and longer length of stay in PCT, and logistic regression revealed independent associations of abdominal malignancy (OR=6.66, 95% CI 1.36 to 32.6, p=0.09), abdominal radiation (OR=0.09, 95% CI 0.02 to 0.53, p<0.01), and PCT with resolution of AC (OR=4.89, 95% CI 1.18 to 20.2, p=0.01). IC rate was 43%, and median time to IC after was 45 to 67 days. Multivariate analysis revealed nausea/vomiting and increasing platelets are independently associated with IC. Recent chemotherapy increases odds of IC in the presence of rising ANC (OR=1.14, 95% CI 1.00 to 1.30, p=0.05).ConclusionPCT has a higher success rate of resolving AC than ABX. Abdominal malignancy increases odds of resolution; abdominal radiation decreases odds. Nausea/vomiting and recent chemotherapy, coupled with rising ANC are associated with IC, but less than 50% of patients return for operation. PCT may not be a bridge to IC in our population.Level of evidenceII.
Epigenetic Attire in Ovarian Cancer: The Emperor's New Clothes
Authors: Matei Daniela , Nephew Kenneth P. 
Published: May 2020

AbstractOvarian cancer is an aggressive epithelial tumor that remains a major cause of cancer morbidity and mortality in women. Epigenetic alterations including DNA methylation and histone modifications are being characterized in ovarian cancer and have been functionally linked to processes involved in tumor initiation, chemotherapy resistance, cancer stem cell survival, and tumor metastasis. The epigenetic traits of cancer cells and of associated tumor microenvironment components have been shown to promote an immunosuppressive tumor milieu. However, DNA methylation and histone modifications are reversible, and therapies targeting the epigenome have been implicated in potential reinvigoration of the antitumor immunity. In this review, we provide an overview specifically of DNA methylation and histone modifications as "clothes of the ovarian cancer genome" in relationship to their functional effects and highlight recent developments in the field. We also address the clinical implications of therapeutic strategies to remove or alter specific articles of genomic "clothing" and restore normal cellular function. As the clothes of the genome continue to be deciphered, we envision that the epigenome will become an important therapeutic target for cancer.
Detecting learning disabilities based on neuro-physiological interface of affect (NPIoA)
Authors: Mat Razi Nurul Izzati , Abdul Rahman Abdul Wahab , Kamaruddin Norhaslinda 
Published: May 2020

Learning disability (LD) is a neurological processing disorder that causes impediment in processing and understanding information. LD is not only affecting academic performance but can also influence on relationship with family, friends and colleagues. Hence, it is important to detect the learning disabilities among children prior to the school year to avoid from anxiety, bully and other social problems. This research aims to implement the learning disabilities detection based on the emotions captured from electroencephalogram (EEG) to recognize the symptoms of Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorder (ADHD) and dyslexia in order to have early diagnosis and assisting the clinician evaluation. The results show several symptoms that ASD children have low alpha power with the Alpha-Beta Test (ABT) power ratio and ASD U-shaped graph, ADHD children have high Theta-Beta Test (TBT) power ratio while Dyslexia have high Left-over-Right Theta (LRT) power ratio. This can be concluded that the learning disabilities detection methods proposed in this study is applicable for ASD, ADHD and also Dyslexia diagnosis.
Aesthetics and Materiality of Knowledge: (Un)sighted Archives of Migration
Authors: Bublatzky Cathrine 
Published: May 2020

Many private or artistic migratory archives remain unnoticed by the wider public or are endangered by loss, misuse or destruction by human or non-human agents, especially when institutional infrastructures are missing. If archives are considered to be dynamic, it is essential to ask how the aesthetics and materiality of knowledge, as they are stored in (un)sighted archives of migration, are to be investigated. How can we look at archives of migration in their performative sense when cultural memory implies dynamism and represents ‘an ongoing process of remembrance and forgetting’? Bringing together anthropologists, artists, photographers, historians and activists with and without migration experiences, the workshop ‘Aesthetics and Materiality of Knowledge – (Un)sighted Archives of Migration’ initiated a comparative and non-hierarchical exchange among experts on archives of migration as historical and aesthetic resources. This article explores the themes raised during these discussions and reflects on the variety of perspectives that emerged.
Spatial and Temporal Downscaling of TRMM Precipitation with Novel Algorithms
Authors: Zhang Huihui , Loáiciga Hugo A. , Ha Da , Du Qingyun 
Published: May 2020

AbstractTropical Rainfall Measuring Mission (TRMM) satellite products constitute valuable precipitation datasets over regions with sparse rain gauge networks. Downscaling is an effective approach to estimating the precipitation over ungauged areas with high spatial resolution. However, a large bias and low resolution of original TRMM satellite images constitute constraints for practical hydrologic applications of TRMM precipitation products. This study contributes two precipitation downscaling algorithms by exploring the nonstationarity relations between precipitation and various environment factors [daytime surface temperature (LTD), terrain slope, normalized difference vegetation index (NDVI), altitude, longitude, and latitude] to overcome bias and low-resolution constraints of TRMM precipitation. Downscaling of precipitation is achieved with the geographically weighted regression model (GWR) and the backward-propagation artificial neural networks (BP_ANN). The probability density function (PDF) algorithm corrects the bias of satellite precipitation data with respect to spatial and temporal scales prior to downscaling. The principal component analysis algorithm (PCA) provides an alternative method of obtaining accurate monthly rainfall estimates during the wet rainfall season that minimizes the temporal uncertainties and upscaling effects introduced by direct accumulation (DA) of precipitation. The performances of the proposed downscaling algorithms are assessed by downscaling the latest version of TRMM3B42 V7 datasets within Hubei Province from 0.25° (about 25 km) to 1-km spatial resolution at the monthly scale. The downscaled datasets are systematically evaluated with in situ observations at 27 rain gauges from the years 2005 through 2010. This paper’s results demonstrate the bias correction is necessary before downscaling. The high-resolution precipitation datasets obtained with the proposed downscaling model with GWR relying on the NDVI and slope are shown to improve the accuracy of precipitation estimates. GWR exhibits more accurate downscaling results than BP_ANN coupled with the genetic algorithm (GA) in most dry and wet seasons.
Prevalence and determinants of the precursor stages of heart failure: results from the population-based STAAB cohort study
Authors: Morbach Caroline , Gelbrich Götz , Tiffe Theresa , Eichner Felizitas A , Christa Martin , Mattern Renate , Breunig Margret , Cejka Vladimir , Wagner Martin , Heuschmann Peter U , Störk Stefan ,   the STAAB consortium, Frantz S , Maack C , Ertl G , Fassnacht M , Wanner C , Leyh R , Volkmann J , Deckert J , Faller H , Jahns R 
Published: May 2020

Abstract

Aims
Prevention of heart failure relies on the early identification and control of risk factors. We aimed to identify the frequency and characteristics of individuals at risk of heart failure in the general population.

Methods and Results
We report cross-sectional data from the prospective Characteristics and Course of Heart Failure Stages A–B and Determinants of Progression (STAAB) cohort study investigating a representative sample of residents of Würzburg, Germany. Sampling was stratified 1:1 for sex and 10:27:27:27:10 for age groups of 30–39/40–49/50–59/60–69/70–79 years. Heart failure precursor stages were defined according to American College of Cardiology/American Heart Association: stage A (risk factors for heart failure), stage B (asymptomatic cardiac dysfunction). The main results were internally validated in the second half of the participants. The derivation sample comprised 2473 participants (51% women) with a distribution of 10%/28%/25%/27%/10% in respective age groups. Stages A and B were prevalent in 42% and 17% of subjects, respectively. Of stage B subjects, 31% had no risk factor qualifying for stage A (group ‘B-not-A’). Compared to individuals in stage B with A criteria, B-not-A were younger, more often women, and had left ventricular dilation as the predominant B qualifying criterion (all P &lt; 0.001). These results were confirmed in the validation sample (n = 2492).

Conclusion
We identified a hitherto undescribed group of asymptomatic individuals with cardiac dysfunction predisposing to heart failure, who lacked established heart failure risk factors and therefore would have been missed by conventional primary prevention. Further studies need to replicate this finding in independent cohorts and characterise their genetic and -omic profile and the inception of clinically overt heart failure in subjects of group B-not-A.
Analysis of drug-induced interstitial lung disease using the Japanese Adverse Drug Event Report database
Authors: Matsumoto Kiyoka , Nakao Satoshi , Hasegawa Shiori , Matsui Toshinobu , Shimada Kazuyo , Mukai Ririka , Tanaka Mizuki , Uranishi Hiroaki , Nakamura Mitsuhiro 
Published: May 2020

Objectives: Drug-induced interstitial lung disease occurs when exposure to a drug causes inflammation and, eventually, fibrosis of the lung interstitium. Drug-induced interstitial lung disease is associated with substantial morbidity and mortality. The aim of this retrospective study was to obtain new information on the time-to-onset profiles of drug-induced interstitial lung disease by consideration of other associated clinical factors using the Japanese Adverse Drug Event Report database. Methods: We identified and analyzed reports of drug-induced interstitial lung disease between 2004 and 2018 from the Japanese Adverse Drug Event Report database. The reporting odds ratio and 95% confidence interval was used to detect the signal for each drug-induced interstitial lung disease incidence. We evaluated the time-to-onset profile of drug-induced interstitial lung disease and used the applied association rule mining technique to uncover undetected relationships, such as possible risk factors. Results: The reporting odds ratios (95% confidence intervals) of drug-induced interstitial lung disease due to temsirolimus, gefitinib, sho-saiko-to, sai-rei-to, osimertinib, amiodarone, alectinib, erlotinib, everolimus, and bicalutamide were 18.3 (15.6–21.3), 17.8 (16.5–19.2), 16.3 (11.8–22.4), 14.5 (11.7–18.2), 12.5 (10.7–14.7), 10.9 (9.9–11.9), 10.6 (8.1–13.9), 9.6 (8.8–10.4), 9.4 (8.7–10.0), and 9.2 (7.9–10.6), respectively. The median durations (day (interquartile range)) for drug-induced interstitial lung disease were as follows: amiodarone (123.0 (27.0–400.5)), methotrexate (145.5 (67.8–475.8)), fluorouracil (86.0 (35.5–181.3)), gemcitabine (53.0 (20.0–83.0)), paclitaxel (52.0 (28.5–77.5)), docetaxel (47.0 (18.8–78.3)), bleomycin (92.0 (38.0–130.5)), oxaliplatin (45.0 (11.0–180.0)), nivolumab (56.0 (21.0–135.0)), gefitinib (24.0 (11.0–55.0)), erlotinib (21.0 (9.0–49.0)), temsirolimus (38.0 (14.0–68.5)), everolimus (56.0 (35.0–90.0)), osimertinib (51.5 (21.0–84.8)), alectinib (78.5 (44.3–145.8)), bicalutamide (50.0 (28.0–147.0)), pegylated interferon-2α (140.0 (75.8–233.0)), sai-rei-to (35.0 (20.0–54.5)), and sho-saiko-to (33.0 (13.5–74.0)) days. Association rule mining suggested that the risk of drug-induced interstitial lung disease was increased by a combination of amiodarone or sho-saiko-to and aging. Conclusion: Our results showed that patients who receive gefitinib or erlotinib should be closely monitored for the development of drug-induced interstitial lung disease within a short duration (4 weeks). In addition, elderly people who receive amiodarone or sho-saiko-to should be carefully monitored for the development of drug-induced interstitial lung disease.
Ocrelizumab-induced alopecia areata—A series of five patients from Ontario, Canada: A case report
Authors: Chin Laura D , AbuHilal Mohn’d 
Published: May 2020

Background: Ocrelizumab is a humanized monoclonal antibody that targets the CD20 antigen found on B-cells. It is indicated in the treatment of both relapsing–remitting multiple sclerosis and primary progressive multiple sclerosis. Objective: The aim of this study is to report and describe the characteristics of alopecia areata following treatment with ocrelizumab for multiple sclerosis. Results: Five patients were reported, two female and three male. Four of the five patients had alopecia areata of the scalp, one of the five having alopecia to the beard area. All patients responded well to conventional treatment with topical and intralesional corticosteroids and topical minoxidil foam. Ocrelizumab can be associated with the development of alopecia areata. Initiation of proper treatment may lead to quick improvement or resolution of this potentially reversible adverse effect.
Anti-Epcam Aptamer (Syl3c)-Functionalized Liposome for Targeted Delivery Of Doxorubicin: In Vitro And In Vivo Antitumor Studies in Mice Bearing C26 Colon Carcinoma
Authors: Mashreghi Mohammad , Zamani Parvin , Moosavian Seyedeh Alia , Jaafari Mahmoud Reza 
Published: May 2020

AbstractIn this study, we have surface-functionalized PEGylated-nanoliposomal doxorubicin (DOX) with anti-EpCAM (epithelial cell adhesion molecule) aptamer via post-insertion of anti-EpCAM aptamer-conjugated DSPE-mPEG2000 into Caelyx® (ED-lip). The size, charge, release profile, and cytotoxicity and cellular uptake of formulation were determined. The characterization of the ED-lip demonstrated the slightly increase in size and PDI along with the decrease in zeta potential which indicated that post-insertion efficiently done. The results of flow cytometry and fluorescent microscopy have shown that ED-lip enhanced the rate of cell uptake on C26 cell line compared to Caelyx®. The ED-lip also had more cytotoxic effects than Caelyx® which indicated the efficacy of anti-EpCAM aptamer as targeting ligand. The pharmacokinetic and tissue biodistribution of formulations in mice bearing C26 tumors demonstrated that ED-lip did not affect the distribution profile of DOX compared to Caelyx® in animal model. In addition, ED-lip effectively improved the tumor accumulation of DOX and promoted survival of animals compared to Caelyx®. These results suggest that the functionalization of Caelyx® with anti-EpCAM aptamer is promising in cancer treatment and merits further investigation.
Generation and evaluation of synthetic patient data
Authors: Goncalves Andre , Ray Priyadip , Soper Braden , Stevens Jennifer , Coyle Linda , Sales Ana Paula 
Published: May 2020

Abstract
Background
Machine learning (ML) has made a significant impact in medicine and cancer research; however, its impact in these areas has been undeniably slower and more limited than in other application domains. A major reason for this has been the lack of availability of patient data to the broader ML research community, in large part due to patient privacy protection concerns. High-quality, realistic, synthetic datasets can be leveraged to accelerate methodological developments in medicine. By and large, medical data is high dimensional and often categorical. These characteristics pose multiple modeling challenges.

Methods
In this paper, we evaluate three classes of synthetic data generation approaches; probabilistic models, classification-based imputation models, and generative adversarial neural networks. Metrics for evaluating the quality of the generated synthetic datasets are presented and discussed.

Results
While the results and discussions are broadly applicable to medical data, for demonstration purposes we generate synthetic datasets for cancer based on the publicly available cancer registry data from the Surveillance Epidemiology and End Results (SEER) program. Specifically, our cohort consists of breast, respiratory, and non-solid cancer cases diagnosed between 2010 and 2015, which includes over 360,000 individual cases.

Conclusions
We discuss the trade-offs of the different methods and metrics, providing guidance on considerations for the generation and usage of medical synthetic data.
Kidney disease progression and all-cause mortality across estimated glomerular filtration rate and albuminuria categories among patients with vs. without type 2 diabetes
Authors: Nichols Gregory A. , Déruaz-Luyet Anouk , Brodovicz Kimberly G. , Kimes Teresa M. , Rosales A. Gabriela , Hauske Sibylle J. 
Published: May 2020

Abstract
Background
Studies of progression of kidney dysfunction typically focus on renal replacement therapy or percentage decline in estimated glomerular filtration rate (eGFR) as outcomes. Our aim was to compare real-world patients with and without T2D to estimate progression from and to clinically defined categories of kidney disease and all-cause mortality.

Methods
This was an observational cohort study of 31,931 patients with and 33,201 age/sex matched patients without type 2 diabetes (T2D) who had a serum creatinine and urine albumin-to-creatinine ratio (UACR) or dipstick proteinuria (DP) values. We used the first available serum creatinine value between 2006 and 2012 to calculate baseline eGFR and categorized them and the corresponding UACR/DP values using the Kidney Disease Improving Global Outcomes (KDIGO) categories. To assess our primary outcomes, we extracted probabilities of eGFR progression or mortality from life-table analyses and conducted multivariable Cox regression analyses of relative risk adjusted for age, sex, race/ethnicity, smoking, ischemic heart disease, heart failure, and use of renal-angiotensin-aldosterone system inhibitors.

Results
Patterns of eGFR decline were comparable among patients with vs. without T2D with larger percentage declines at higher albuminuria levels across all eGFR categories. eGFR decline was generally larger among T2D patients, particularly in those with severely increased albuminuria. Across all CKD categories, risk of progression to the next higher category of eGFR was substantially increased with increasing albuminuria. For example, the risk was 23.5, 36.2, and 65.1% among T2D patients with eGFR 30–59 ml/min/1.73m2 and UACR < 30, 30–299, and > 300 mg/dL, respectively (p < 0.001). Other comparisons were similarly significant. Among patients with low eGFR and normal to mildly increased albuminuria, the relative risk was up to 8-fold greater for all-cause mortality compared with the non-CKD subgroup (eGFR> 60 ml/min/1.73m2 with normal to mildly increased albuminuria).

Conclusions
Presence of albuminuria was associated with accelerated eGFR decline independent of T2D. Risk for adverse outcomes was remarkably high among patients with CKD and normal to mildly increased albuminuria levels. Independent of T2D or albuminuria, a substantial risk for adverse outcomes exists for CKD patients in a routine care setting.
Longitudinal changes in health-related quality of life according to clinical course among patients with non-tuberculous mycobacterial pulmonary disease: a prospective cohort study
Authors: Kwak Nakwon , Kim Sung A , Choi Sun Mi , Lee Jinwoo , Lee Chang-Hoon , Yim Jae-Joon 
Published: May 2020

Abstract
Background
Improvement in health-related quality of life (HRQL) has been suggested as an alternative treatment goal of non-tuberculous mycobacterial pulmonary disease (NTM-PD). This study was performed to elucidate the longitudinal changes in HRQL using St. George’s Respiratory Questionnaire (SGRQ) among patients with NTM-PD according to their clinical course.

Methods
Patients with NTM-PD who participated in Seoul National University Hospital’s prospective NTM cohort were screened. Participants for whom the SGRQ score was estimated with the one-year interval for ≥ three times were included. The longitudinal trends of the SGRQ score were assessed. The impact of the clinical course on the change in the SGRQ score was elucidated using multilevel mixed-effects linear regression with a repeated-measures model.

Results
In total, 114 patients were analyzed. During the median 5-year observation period, 53 patients started anti-mycobacterial treatment and 61 patients were observed without treatment. Among the treated patients, 24 (45.2%) achieved microbiological cure. Patients who required treatment eventually had worsening SGRQ scores with time compared with patients who could be observed without treatment (P < 0.001). In cured patients, the SGRQ score decreased from 33.9 at baseline to 20.8 at 1 year post-treatment (P < 0.001), 21.3 at 2 years (P < 0.001), and 17.6 at 3 years (P < 0.001). The SGRQ scores also decreased for 2 years of treatment in patients with NTM-PD that could not be cured, although this decrease did not last for 3 years of treatment.

Conclusion
Worsening HRQL scores were associated with the initiation of treatment and, in turn, treatment improved HRQL scores of patients with NTM-PD.

Trial registration
This study was registered to the ClinicalTrials.gov (Identifier: NCT01616745 / registration date: June 12, 2012). The protocol was retrospectively registered.
Synovial sarcoma presenting as an intra-articular mass in a pediatric patient: a case report
Authors: Al-Mohrej Omar A. , Al-Jarallah Saeed A. , Al-Dakhil Allah Hamad H. , Pant Rajeev , Al-Zayed Zayed S. 
Published: May 2020

Abstract
Background
Synovial sarcoma (SS) is one of the reported sarcomas in the pediatric and adult populations. Delay in diagnosis and treatment is common in SS cases. SS may be excised before the correct diagnosis is made.

Case presentation
we present a case involving a 4-year-old boy who visited our service with complaints of left knee pain and limited knee flexion. Initially, the child was diagnosed with osteochondromatosis. Surgical excision was opted, and initial histopathological examination revealed a fibrous histiocytoma. The slide and blocks were then brought to the King Faisal Specialist Hospital Research Center (KFSH&RC) and histopathologic analysis has shown a well-circumscribed nodule in the synovium with a sub-synovial monomorphic spindle cell sarcoma, confirmed by fluorescence in situ hybridization (FISH).

Conclusions
Therefore, we strongly recommend considering all differential diagnoses for soft-tissue masses when planning surgical management.