bluuebunny/crossref_metadata_2025_split huggingface dataset:
Accuracy of a Novel Noninvasive Multisensor Technology to Estimate Glucose in Diabetic Subjects During Dynamic Conditions
Authors: Sobel Sandra I. , Chomentowski Peter J. , Vyas Nisarg , Andre David , Toledo Frederico G. S. 
Published: February 2014

Objective: The purpose of this study was to determine whether an approach of multisensor technology with integrated data analysis in an armband system (SenseWear® Pro Armband, SWA) can provide estimates of plasma glucose concentration in diabetes. Research Design and Methods: In all, 41 subjects with diabetes participated. On day 1 subjects underwent an oral glucose tolerance test (OGTT) and on day 2 a 60-minute treadmill test (TT). SWA plasma glucose estimates were compared against reference peripheral venous glucose concentrations. A continuous glucose monitoring device (CGM) was also placed on each subject to serve as a reference for clinical comparison. Pearson coefficient, Clarke error grid (CEG), and mean absolute relative difference (MARD) analyses were used to compare the performance of plasma glucose estimation. Results: There were significant correlations between plasma glucose concentrations estimated by the SWA and the reference plasma glucose concentration during the OGTT ( r = .65, P < .05) and the TT ( r = .91, P < .05). CEG analysis revealed that during the OGTT, 93% of plasma glucose concentration readings were in the clinically acceptable zone A+B for the SWA and 95% for the CGM. During the TT, the SWA had 96% of readings in zone A+B, compared to 97% for the CGM. During OGTTs, MARDs for the SWA and CGM were 26% and 18%, respectively. During TTs, MARDs were 16% and 12%, respectively. Conclusions: Plasma glucose concentration estimation by the SWA’s noninvasive multisensor approach appears to be feasible and its performance in estimating glucose approaches that of a CGM. The success of this pilot study suggests that multisensor technology holds promising potential for the development of a wearable, noninvasive, painless glucose monitor.
The Impact of Accelerometer and Heart Rate Data on Hypoglycemia Mitigation in Type 1 Diabetes
Authors: Stenerson Matthew , Cameron Fraser , Wilson Darrell M. , Harris Breanne , Payne Shelby , Bequette B. Wayne , Buckingham Bruce A. 
Published: February 2014

Background: Aerobic exercise can lower blood glucose levels and alter insulin sensitivity both during and several hours after exercise, creating challenges for a closed-loop artificial pancreas. Predictive low glucose suspend (PLGS) algorithms are a first step toward an artificial pancreas, but few of these have been successfully applied to exercise. This study incorporates physical activity measurements from a combined accelerometer/heart rate monitor (HRM) to improve the performance of an existing PLGS algorithm at mitigating exercise-associated hypoglycemia in participants with type 1 diabetes. Methods: In all, 22 subjects with type 1 diabetes on insulin pump therapy were provided a combined accelerometer/HRM and (if not already using one) a continuous glucose monitor (CGM), then instructed to go about their everyday lives while wearing the devices. After the monitoring period, each subject’s insulin pump, CGM, and accelerometer/HRM were downloaded and the data were used to augment an existing PLGS algorithm to incorporate activity. Using a computer simulator, the accelerometer-augmented algorithm was compared to the HRM-augmented algorithm to determine which was most effective at mitigating hypoglycemia. Results: Mean length of monitoring was 4.9 days. Across all subjects, 11 061 CGM readings were recorded during the monitoring period. In the simulator analysis, the PLGS algorithm reduced hypoglycemia by 62%, compared to 71% and 74% reductions for the HRM-augmented and accelerometer-augmented algorithms, respectively; combined accelerometer and HRM augmentation provided a 76% reduction. Conclusions: In a simulated setting, the accelerometer-augmented pump suspension algorithm decreases the incidence of exercise-related hypoglycemia by a meaningful amount compared to the PLGS algorithm alone. Results also failed to justify the additional user burden of a HRM.
A genomics approach to identify susceptibilities of breast cancer cells to “fever-range” hyperthermia
Authors: Amaya Clarissa , Kurisetty Vittal , Stiles Jessica , Nyakeriga Alice M , Arumugam Arunkumar , Lakshmanaswamy Rajkumar , Botez Cristian E , Mitchell Dianne C , Bryan Brad A 
Published: February 2014

Abstract

Background
Preclinical and clinical studies have shown for decades that tumor cells demonstrate significantly enhanced sensitivity to “fever range” hyperthermia (increasing the intratumoral temperature to 42-45°C) than normal cells, although it is unknown why cancer cells exhibit this distinctive susceptibility.

Methods
To address this issue, mammary epithelial cells and three malignant breast cancer lines were subjected to hyperthermic shock and microarray, bioinformatics, and network analysis of the global transcription changes was subsequently performed.

Results
Bioinformatics analysis differentiated the gene expression patterns that distinguish the heat shock response of normal cells from malignant breast cancer cells, revealing that the gene expression profiles of mammary epithelial cells are completely distinct from malignant breast cancer lines following this treatment. Using gene network analysis, we identified altered expression of transcripts involved in mitotic regulators, histones, and non-protein coding RNAs as the significant processes that differed between the hyperthermic response of mammary epithelial cells and breast cancer cells. We confirmed our data via qPCR and flow cytometric analysis to demonstrate that hyperthermia specifically disrupts the expression of key mitotic regulators and G2/M phase progression in the breast cancer cells.

Conclusion
These data have identified molecular mechanisms by which breast cancer lines may exhibit enhanced susceptibility to hyperthermic shock.
Estimating recruitment rates for routine use of patient reported outcome measures and the impact on provider comparisons
Authors: Hutchings Andrew , Neuburger Jenny , van der Meulen Jan , Black Nick 
Published: February 2014

Abstract

Background
The routine use of patient reported outcome measures (PROMs) aims to compare providers as regards the clinical need of their patients and their outcome. Simple methods of estimating recruitment rates based on aggregated data may be inaccurate. Our objectives were to: use patient-level linked data to evaluate these estimates; produce revised estimates of national and providers’ recruitment rates; and explore whether or not recruitment bias exists.

Methods
Case study based on patients who were eligible to participate in the English National PROMs Programme for elective surgery (hip and knee replacement, groin hernia repair, varicose vein surgery) using data from pre-operative questionnaires and Hospital Episode Statistics. Data were linked to determine: the eligibility for including operations; eligibility of date of surgery; duplicate questionnaires; cancelled operations; correct assignment to provider. Influence of patient characteristics on recruitment rates were investigated.

Results
National recruitment rates based on aggregated data over-estimated the true rate because of the inclusion of ineligible operations (from 1.9% - 7.0% depending on operation) and operations being cancelled (1.9% - 3.6%). Estimates of national recruitment rates using inclusion criteria based on patient-level linked data were lower than those based on simple methods (eg hip replacement was 73% rather than 78%).
Estimates of provider’s recruitment rates based on aggregated data were also adversely affected by attributing patients to the wrong provider (2.4% - 4.9%). Use of linked data eliminated all estimates of over 100% recruitment, though providers still showed a wide range of rates.
While the principal determinant of recruitment rates was the provider, some patients’ socio-demographic characteristics had an influence on non-recruitment: non-white (Adjusted Odds Ratio 1.25-1.67, depending on operation); most deprived socio-economic group (OR 1.11-1.23); aged over 75 years (OR 1.28-1.79). However, there was no statistically significant association between providers’ recruitment rates and patients’ pre-operative clinical need.

Conclusions
Accurate recruitment rates require the use of linked data to establish consistent inclusion criteria for numerators and denominators. Non-recruitment will bias comparisons of providers’ pre-operative case-mix and may bias comparisons of outcomes if unmeasured confounders are not evenly distributed between providers. It is important, therefore, to strive for high recruitment rates.
Best proximity points of generalized almost ψ-Geraghty contractive non-self-mappings
Authors: Aydi Hassen , Karapınar Erdal , Erhan İnci M , Salimi Peyman 
Published: February 2014

Abstract
In this paper, we introduce the new notion of almost ψ-Geraghty contractive mappings and investigate the existence of a best proximity point for such mappings in complete metric spaces via the weak P-property. We provide an example to validate our best proximity point theorem. The obtained results extend, generalize, and complement some known fixed and best proximity point results from the literature.

MSC:47H10, 54H25, 46J10, 46J15.
Risk factors for cervical HPV infection and genotypes distribution in HIV-infected South Brazilian women
Authors: Rocha-Brischiliari Sheila C , Gimenes Fabrícia , de Abreu André L P , Irie Mary M T , Souza Raquel P , Santana Rosangela G , Gravena Angela A F , de B Carvalho Maria D , Consolaro Marcia E L , Pelloso Sandra M 
Published: February 2014

Abstract

Background
Human Papillomavirus (HPV) infection is particularly burdensome for women infected with human immunodeficiency virus (HIV), which increases their risk of developing cervical lesions and cancer (CC). We conducted a molecular study of the distribution of cervical HPV genotypes and the risk factors for this infection in HIV-infected Brazilian women.

Findings
Cervical and endocervical samples for Papanicolaou screening and HPV detection were collected from 178 HIV-infected women using highly active antiretroviral therapy (HAART) of Maringá city/Brazil. Risk factors were assessed using a standardized questionnaire, and the data regarding to HIV infection from medical records. HPV was detected by polymerase chain reaction (PCR), and genotyping using PCR-restriction fragment length polymorphism analysis. HIV infection was well controlled, but women with a current CD4+ T lymphocyte count between 200–350 cells/mm3 (37.6%) had a two-fold greater risk of HPV infection than those with > 350 cells/mm3 (26.4%). HPV was associated with parity ≥3, hormonal contraceptive use and current smoker. HPV infection occurred with high frequency (46.6%) but a low frequency of cervical abnormalities was detected (7.30%), mainly low-grade squamous intraephitelial cervical lesions (LSIL) (84.6%). A high frequency of multiple HPV infections was detected (23.0%), and the most frequent HPV genotype was HPV-72 (6.7%), followed by −16, -31 and -51 (6.14% each).

Conclusions
We showed that HAART use does not protect HIV-infected women from HPV, but appear to exert some protection against cervical lesions development. This study provides other important information about risk factors and cervical HPV in HIV-infected women, which can contribute to planning protocols.
A genome-wide association study identifies common variants influencing serum uric acid concentrations in a Chinese population
Authors: Yang Binyao , Mo Zengnan , Wu Chen , Yang Handong , Yang Xiaobo , He Yunfeng , Gui Lixuan , Zhou Li , Guo Huan , Zhang Xiaomin , Yuan Jing , Dai Xiayun , Li Jun , Qiu Gaokun , Huang Suli , Deng Qifei , Feng Yingying , Guan Lei , Hu Die , Zhang Xiao , Wang Tian , Zhu Jiang , Min Xinwen , Lang Mingjian , Li Dongfeng , Hu Frank B , Lin Dongxin , Wu Tangchun , He Meian 
Published: February 2014

AbstractBackgroundUric acid (UA) is a complex phenotype influenced by both genetic and environmental factors as well as their interactions. Current genome-wide association studies (GWASs) have identified a variety of genetic determinants of UA in Europeans; however, such studies in Asians, especially in Chinese populations remain limited.MethodsA two-stage GWAS was performed to identify single nucleotide polymorphisms (SNPs) that were associated with serum uric acid (UA) in a Chinese population of 12,281 participants (GWAS discovery stage included 1452 participants from the Dongfeng-Tongji cohort (DFTJ-cohort) and 1999 participants from the Fangchenggang Area Male Health and Examination Survey (FAMHES). The validation stage included another independent 8830 individuals from the DFTJ-cohort). Affymetrix Genome-Wide Human SNP Array 6.0 chips and Illumina Omni-Express platform were used for genotyping for DFTJ-cohort and FAMHES, respectively. Gene-environment interactions on serum UA levels were further explored in 10,282 participants from the DFTJ-cohort.ResultsBriefly, we identified two previously reported UA loci ofSLC2A9(rs11722228, combinedP= 8.98 × 10-31) andABCG2(rs2231142, combinedP= 3.34 × 10-42). The two independent SNPs rs11722228 and rs2231142 explained 1.03% and 1.09% of the total variation of UA levels, respectively. Heterogeneity was observed across different populations. More importantly, both independent SNPs rs11722228 and rs2231142 were nominally significantly interacted with gender on serum UA levels (Pfor interaction = 4.0 × 10-2and 2.0 × 10-2, respectively). The minor allele (T) for rs11722228 inSLC2A9has greater influence in elevating serum UA levels in females compared to males and the minor allele (T) of rs2231142 inABCG2had stronger effects on serum UA levels in males than that in females.ConclusionsTwo genetic loci (SLC2A9andABCG2) were confirmed to be associated with serum UA concentration. These findings strongly support the evidence thatSLC2A9andABCG2function in UA metabolism across human populations. Furthermore, we observed these associations are modified by gender.
Shyness discriminates between children with 22q11.2 deletion syndrome and Williams syndrome and predicts emergence of psychosis in 22q11.2 deletion syndrome
Authors: Schonherz Yael , Davidov Maayan , Knafo Ariel , Zilkha Hadas , Shoval Gal , Zalsman Gil , Frisch Amos , Weizman Abraham , Gothelf Doron 
Published: February 2014

Abstract

Background
22q11.2 deletion syndrome (22q11.2DS) is a common neurogenetic syndrome associated with high rates of psychosis. The aims of the present study were to identify the unique temperament traits that characterize children with 22q11.2DS compared to children with Williams syndrome (WS) and typically developing (TD) controls, and to examine temperamental predictors of the emergence of psychosis in 22q11.2DS.

Methods
The temperament of 55 children with 22q11.2DS, 36 with WS, and 280 TD children was assessed using the Emotionality, Activity, Sociability (EAS) Temperament Survey, Parental Ratings. The presence of a psychotic disorder was evaluated in 49 children and adolescents with 22q11.2DS at baseline and again 5.43 ± 2.23 years after baseline temperament assessment.

Results
Children with 22q11.2DS scored higher on Shyness compared to WS and TD controls. Children with 22q11.2DS and WS scored higher on Emotionality and lower on Activity compared to TD controls. Shyness was more severe in older compared to younger children with 22q11.2DS. Baseline Shyness scores significantly predicted the later emergence of a psychotic disorder at follow-up, in children with 22q11.2DS.

Conclusions
Our results suggest that shyness is an early marker associated with the later emergence of psychosis in 22q11.2DS.
Stem cells in a three-dimensional scaffold environment
Authors: Meng Xuan , Leslie Patrick , Zhang Yanping , Dong Jiahong 
Published: February 2014

Abstract
Stem cells have emerged as important players in the generation and maintenance of many tissues. However, the accurate in vitro simulation of the native stem cell niche remains difficult due at least in part to the lack of a comprehensive definition of the critical factors of the stem cell niche based on in vivo models. Three-dimensional (3D) cell culture systems have allowed the development of useful models for investigating stem cell physiology particularly with respect to their ability to sense and generate mechanical force in response to their surrounding environment. We review the use of 3D culture systems for stem cell culture and discuss the relationship between stem cells and 3D growth matrices including the roles of the extracellular matrix, scaffolds, soluble factors, cell-cell interactions and shear stress effects within this environment. We also discuss the potential for novel methods that mimic the native stem cell niche in vitro as well as the current associated challenges.
BayMeth: improved DNA methylation quantification for affinity capture sequencing data using a flexible Bayesian approach
Authors: Riebler Andrea , Menigatti Mirco , Song Jenny Z , Statham Aaron L , Stirzaker Clare , Mahmud Nadiya , Mein Charles A , Clark Susan J , Robinson Mark D 
Published: February 2014

AbstractAffinity capture of DNA methylation combined with high-throughput sequencing strikes a good balance between the high cost of whole genome bisulfite sequencing and the low coverage of methylation arrays. We present BayMeth, an empirical Bayes approach that uses a fully methylated control sample to transform observed read counts into regional methylation levels. In our model, inefficient capture can readily be distinguished from low methylation levels. BayMeth improves on existing methods, allows explicit modeling of copy number variation, and offers computationally efficient analytical mean and variance estimators. BayMeth is available in the Repitools Bioconductor package.
Duration and Toxicity of Adjuvant Trastuzumab in Older Patients With Early-Stage Breast Cancer: A Population-Based Study
Authors: Vaz-Luis Ines , Keating Nancy L. , Lin Nancy U. , Lii Huichuan , Winer Eric P. , Freedman Rachel A. 
Published: February 2014

Purpose Few data are available regarding adjuvant trastuzumab use in older women with early-stage breast cancer. We examined rates and predictors of adjuvant trastuzumab completion and cardiac events in this population. Patients and Methods We used Surveillance, Epidemiology, and End Results (SEER)-Medicare data to identify patients age ≥ 66 years with stage I to III breast cancer diagnosed between 2005 and 2009 who received trastuzumab. Completion of trastuzumab was defined as receipt of more than 270 days of therapy. We used multivariable logistic regression to examine patient, clinical, and geographic characteristics associated with trastuzumab completion. We also examined rates of hospital admissions for cardiac events. Results Among 2,028 women, most (71.2%) were younger than age 76 years and had a comorbidity score of 0 (66.8%); 85.2% received trastuzumab with chemotherapy. Overall, 1,656 women (81.7%) completed trastuzumab. Older patients and those with more comorbidity had lower odds of treatment completion (odds ratio [OR], 0.40 [95% CI, 0.30 to 0.55] for age ≥ 80 years v age 66 to 70 years; OR, 0.65 [95% CI, 0.49 to 0.88] for comorbidity score of 2 v 0). During treatment, 73 patients (3.6%) were hospitalized for cardiac events (2.6% of those who completed trastuzumab v 8.1% of those who did not; P < .001). Conclusion Most older patients who initiated adjuvant trastuzumab completed therapy. Age and comorbidity were among factors that were associated with treatment completion, and rates of significant cardiac events were higher in those who did not complete therapy. Further exploration of toxicities and optimal treatments for older women with human epidermal growth factor receptor 2–positive breast cancer are warranted.
Extent of Resection of Glioblastoma Revisited: Personalized Survival Modeling Facilitates More Accurate Survival Prediction and Supports a Maximum-Safe-Resection Approach to Surgery
Authors: Marko Nicholas F. , Weil Robert J. , Schroeder Jason L. , Lang Frederick F. , Suki Dima , Sawaya Raymond E. 
Published: February 2014

Purpose Approximately 12,000 glioblastomas are diagnosed annually in the United States. The median survival rate for this disease is 12 months, but individual survival rates can vary with patient-specific factors, including extent of surgical resection (EOR). The goal of our investigation is to develop a reliable strategy for personalized survival prediction and for quantifying the relationship between survival, EOR, and adjuvant chemoradiotherapy. Patients and Methods We used accelerated failure time (AFT) modeling using data from 721 newly diagnosed patients with glioblastoma (from 1993 to 2010) to model the factors affecting individualized survival after surgical resection, and we used the model to construct probabilistic, patient-specific tools for survival prediction. We validated this model with independent data from 109 patients from a second institution. Results AFT modeling using age, Karnofsky performance score, EOR, and adjuvant chemoradiotherapy produced a continuous, nonlinear, multivariable survival model for glioblastoma. The median personalized predictive error was 4.37 months, representing a more than 20% improvement over current methods. Subsequent model-based calculations yield patient-specific predictions of the incremental effects of EOR and adjuvant therapy on survival. Conclusion Nonlinear, multivariable AFT modeling outperforms current methods for estimating individual survival after glioblastoma resection. The model produces personalized survival curves and quantifies the relationship between variables modulating patient-specific survival. This approach provides comprehensive, personalized, probabilistic, and clinically relevant information regarding the anticipated course of disease, the overall prognosis, and the patient-specific influence of EOR and adjuvant chemoradiotherapy. The continuous, nonlinear relationship identified between expected median survival and EOR argues against a surgical management strategy based on rigid EOR thresholds and instead provides the first explicit evidence supporting a maximum safe resection approach to glioblastoma surgery.