bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diagnostic Value of the Friedman Tongue Position and Mallampati Classification for Obstructive Sleep Apnea: A Meta‐analysis
Authors: Friedman Michael , Hamilton Craig , Samuelson Christian G. , Lundgren Mary E. , Pott Thomas 
Published: January 2013

ObjectiveTo assess the association between the Mallampati classification and Friedman tongue position for obstructive sleep apnea severity as determined by apnea‐hypopnea index and to determine which method is most closely correlated with prediction of obstructive sleep apnea severity.Data SourcesEnglish‐language searches of PubMed, MedLine, and the Cochrane database. Reference sections of identified studies were examined for additional articles.Review MethodsDatabases through December 2011 were searched, combined with review of relevant article bibliographies, and assessed by 4 reviewers. Systematic review and random‐effects meta‐analysis of studies evaluating tongue position and obstructive sleep apnea severity were performed. Outcomes were reported as correlations.ResultsTen studies met inclusion criteria and had data for pooling (2513 patients). Friedman tongue position and Mallampati classification were significantly associated with obstructive sleep apnea severity, with a correlation of 0.351 (0.094‐0.564, P =. 008). Analysis of the correlation of tongue position with obstructive sleep apnea severity reveals correlations of 0.184 (0.052, 0.310, P =. 006) and 0.388 (0.049, 0.646, P =. 026) for the Mallampati classification and Friedman tongue position, respectively. Publication bias does not yield a significant Egger regression intercept; however, 4 imputed values to the right of the mean were found using Duval and Tweedie's trim‐and‐fill method, yielding an overall correlation of 0.498 (confidence interval = 0.474‐0.521).ConclusionThe Mallampati classification and Friedman tongue position assessment techniques are significantly correlated with predicting obstructive sleep apnea severity. Publication bias does not significantly affect our results. The strength of this correlation is higher for Friedman tongue position, although 95% confidence intervals for the respective correlation coefficients overlap.
Lipid and C‐reactive Protein Levels as Risk Factors for Hearing Loss in Older Adults
Authors: Simpson Annie N. , Matthews Lois J. , Dubno Judy R. 
Published: January 2013

ObjectiveTo determine the role of cardiovascular disease (CVD) markers, lipids and C‐reactive protein, in age‐related hearing loss over time.Study DesignProspective cohort study.SettingResearch laboratories at an academic medical center.Subjects and MethodsIn total, 837 older adults (mean age 67.5 years) were included. Primary dependent variables were pure‐tone thresholds (pure‐tone average [PTA]), including “narrow” PTA (0.5, 1, 2, 4 kHz), “broad” PTA (0.5, 1, 2, 3, 4, 6, 8 kHz), low‐frequency PTA (0.25, 0.5, 1 kHz), and high‐frequency PTA (2, 3, 4, 6, 8 kHz). Repeated‐measures mixed regression modeling was used to assess the relationship between C‐reactive protein (CRP) and lipid levels with PTAs over time.ResultsIn a cross‐sectional sample of 837 subjects, modest associations were found between triglycerides and all PTAs. Weak associations were observed between the ratio of total cholesterol and high‐density lipoprotein and narrow PTA, broad PTA, and high‐frequency PTA. However, when assessing changes in hearing and lipids over time in a longitudinal analysis, no significant associations between hearing and lipids remained. PTAs and CRP were not statistically associated when controlling for age and sex.ConclusionAssociations between hearing and blood lipids have been the focus of scientific inquiry for more than 50 years. The current results suggest that the association is either spurious or too small to be of consequence in the assessment and treatment of hearing loss in older adults. Inquiry into other potential risk factors for age‐related hearing loss and associations with CVD may prove more fruitful.
Endotracheal Nitinol Stents: Lessons from the Learning Curve
Authors: Siegel Bianca , Bent John P. , Ward Robert F. 
Published: January 2013

ObjectiveTo reflect on lessons learned placing endotracheal nitinol stents in children.Study DesignCase series with chart review.SettingTertiary care children's hospital.Subjects and MethodsAll children who underwent nitinol cervical tracheal stenting were included. Records were carefully reviewed for intraoperative and postoperative complications, management choices, outcomes, and factors that influenced results.ResultsBetween 1999 and 2011, 7 children underwent 13 stent placements. Median follow‐up was 5 years (range, 1‐12 years). Six patients underwent stenting as a salvage procedure following open attempts at airway reconstruction. Four patients remain decannulated with their stent in place (median follow‐up 7 years). The fifth patient had his stent removed endoscopically after 50 days because it became apparent that his obstruction was primarily laryngeal. The sixth child had his stent removed via a tracheal fissure after 14 months because of recalcitrant subglottic inflammation at the superior stent border. The seventh patient was decannulated for over 2 years but ultimately required tracheotomy replacement because of stenosis with the stent lumen. Complications included stent migration (23%), restenosis (29%), edema (29%), and granulation (57%).ConclusionEndotracheal nitinol stents provide a realistic opportunity for decannulation in children for whom other options have failed but should be reserved only as a salvage procedure in severely complicated airways. Our experience has taught valuable lessons about stent indications, sizing, characteristics, and deployment, as well as means to avoid and manage their complications.
Application of Open Triple-Branched Aortic Arch Stent Graft for Acute Stanford Type A Aortic Dissection
Authors: Hua Fei , Shen Zhenya , Yu Yunsheng , Ye Wenxue , Huang Haoyue 
Published: January 2013

Objective: Complete documentation is provided outlining a process for surgical treatment of the ascending aorta using open triple-branched aortic arch stent grafts to treat acute Stanford type A aortic dissection based on clinical observations. Methods: A total of 34 patients underwent replacement of the ascending aorta or aortic root in combination with open placement of a triple-branched stent graft. Results: Mean cardiopulmonary bypass, mean myocardial ischemic, and selective cerebral perfusion times were 186 ± 38, 101 ± 27, and 39 ± 11 minutes, respectively. Two deaths occurred during hospitalization. Of the remaining patients, postoperative computed tomography angiography confirmed that all implanted stent grafts were fully opened; however, the dissected aorta and false lumen size showed evidence of reduced thickness. Conclusions: This applies mainly to those who need extensive surgical reconstruction of the thoracic aorta with acute Stanford type A aortic dissection, and it can reduce cardiopulmonary bypass complexities of the traditional surgeries and potential complication.
Prediction of event times in the REMATCH Trial
Authors: Ying Gui-Shuang , Heitjan Daniel F 
Published: January 2013

Background In clinical trials with time-to-event outcomes, it is common to design the interim analysis plan around the occurrence of designated target numbers of events. As the trial progresses, one may wish to use the accumulating data to predict the calendar times of these events as an aid to logistical planning. Purpose To demonstrate three models for the prediction of event times using the accumulating data of the Randomized Evaluation of Mechanical Assistance for the Treatment of Congestive Heart Failure (REMATCH) Trial. Methods We apply three prediction models – an exponential model, a Weibull model, and a nonparametric model – to the evolving REMATCH data. Using Bayesian simulation methods, we predict the times of the designated landmark events and the end-of-study treatment effect, and calculate the predictive power. Results The models were practical to apply from an early stage of the trial, and gave largely similar predictions. Intervals from the nonparametric model were generally wider and more responsive to surges and droughts in events. Predictions made early in the trial were sensitive to the assumed prior on the accrual rate. Limitations The use of badly calibrated priors can lead to poor predictions. Conclusions Predictions of landmark event times in REMATCH were accurate and responded deftly to a strong shift in the treatment effect that occurred midway through the trial. The method can provide reliable guidance for clinical trial planning.
Evaluating the impact of imputations for missing participant outcome data in a network meta-analysis
Authors: Spineli Loukia M , Higgins Julian PT , Cipriani Andrea , Leucht Stefan , Salanti Georgia 
Published: January 2013

Background In a meta-analysis of trials with missing outcome data, a parameter known as informative missing odds ratio (IMOR) can be used to quantify the relationship between informative missingness and a binary outcome. IMORs also account for the increased uncertainty due to missingness in the meta-analysis results. Purpose To extend the idea of IMOR into a network meta-analysis (NMA) setting in order to explore the impact of missing outcome data on the inferences about the relative effectiveness of several competing treatments in psychiatric trials. Methods IMORs were estimated in two datasets comparing anti-manic treatments and antidepressants. The outcome was response to treatments. In the original meta-analyses, missing participants were assumed to have failed regardless the treatment they were allocated to. To evaluate the robustness of this assumption in each dataset, several imputations of the missing outcomes were studied by an IMOR parameter in the NMA model. By comparing the odds ratios for efficacy under the initial analysis and under several assumptions about the missingness, we assessed the consistency of the conclusions. The missing data mechanism was studied by comparing the prior with the posterior IMOR distribution. Models were fitted using Markov chain Monte Carlo (MCMC) in WinBUGS. Results In both datasets, the relative effectiveness of the treatments seems to be affected only by the two extreme imputation scenarios of worst- and best-case analyses. Moreover, heterogeneity increases in both datasets under these two extreme scenarios. Overall, there is a non-significant change on the ranking of the anti-manic and antidepressant treatments. The posterior and prior IMOR distributions are very similar showing that the data do not provide any information about the true outcome in missing participants. There is a very weak indication that missing participants tend to fail in placebo and paroxetine, while the opposite occurs for sertraline, fluoxetine, and fluvoxamine. Limitations Investigation of informative missingness was limited two classes of treatments and for dichotomous outcome measures. The proportion of missing outcomes was very low overall, and hence, the power of detecting any differences in effectiveness estimated under the various imputation methods is small. Conclusions Sensitivity analysis to account for missing outcome data and their uncertainty in the NMA can be undertaken by extending the idea of IMOR. In two case examples, we found no differences between the various models due to low missing data rate. In line with previous observations, data carry little information about the reason of missingness.
Markedly additive antitumor activity with the combination of a selective survivin suppressant YM155 and alemtuzumab in adult T-cell leukemia
Authors: Chen Jing , Pise-Masison Cynthia A. , Shih Joanna H. , Morris John C. , Janik John E. , Conlon Kevin C. , Keating Anne , Waldmann Thomas A. 
Published: January 2013

Key PointsMarkedly additive antitumor activity with the combination of a selective survivin suppressant (YM155) and alemtuzumab in adult T-cell leukemia.
Tumor-promoting immune-suppressive myeloid-derived suppressor cells in the multiple myeloma microenvironment in humans
Authors: Görgün Güllü Topal , Whitehill Gregory , Anderson Jennifer L. , Hideshima Teru , Maguire Craig , Laubach Jacob , Raje Noopur , Munshi Nikhil C. , Richardson Paul G. , Anderson Kenneth C. 
Published: January 2013

Key Points
MDSCs are increased in patients with MM and have bidirectional interaction with tumors in the MM microenvironment. MM-MDSCs promote MM growth and induce immune suppression; conversely, MM cells induce MDSC development.
MYD88 L265P in Waldenström macroglobulinemia, immunoglobulin M monoclonal gammopathy, and other B-cell lymphoproliferative disorders using conventional and quantitative allele-specific polymerase chain reaction
Authors: Xu Lian , Hunter Zachary R. , Yang Guang , Zhou Yangsheng , Cao Yang , Liu Xia , Morra Enrica , Trojani Alessandra , Greco Antonino , Arcaini Luca , Varettoni Marzia , Brown Jennifer R. , Tai Yu-Tzu , Anderson Kenneth C. , Munshi Nikhil C. , Patterson Christopher J. , Manning Robert J. , Tripsas Christina K. , Lindeman Neal I. , Treon Steven P. 
Published: January 2013

Key Points
MYD88 L265P is expressed in WM and IgM MGUS patients using AS-PCR assays with potential use in diagnostic discrimination and response assessment.
Failure-free survival after second-line systemic treatment of chronic graft-versus-host disease
Authors: Inamoto Yoshihiro , Storer Barry E. , Lee Stephanie J. , Carpenter Paul A. , Sandmaier Brenda M. , Flowers Mary E. D. , Martin Paul J. 
Published: January 2013

Key Points
Relapse-free survival without treatment change can form the basis of the primary end point in studies of chronic graft-versus-host disease. Steroid doses at the time of assessment should be taken into account in treatment studies of chronic graft-versus-host disease.
Applications of Kato’s inequality for n-tuples of operators in Hilbert spaces, (I)
Authors: Dragomir Sever S , Cho Yeol Je , Kim Young-Ho 
Published: January 2013

Abstract
In this paper, by the use of the famous Kato’s inequality for bounded linear operators, we establish some inequalities for n-tuples of operators and apply them for functions of normal operators defined by power series as well as for some norms and numerical radii that arise in multivariate operator theory.

MSC:47A63, 47A99.
xMSanalyzer: automated pipeline for improved feature detection and downstream analysis of large-scale, non-targeted metabolomics data
Authors: Uppal Karan , Soltow Quinlyn A , Strobel Frederick H , Pittard W Stephen , Gernert Kim M , Yu Tianwei , Jones Dean P 
Published: January 2013

Abstract

Background
Detection of low abundance metabolites is important for de novo mapping of metabolic pathways related to diet, microbiome or environmental exposures. Multiple algorithms are available to extract m/z features from liquid chromatography-mass spectral data in a conservative manner, which tends to preclude detection of low abundance chemicals and chemicals found in small subsets of samples. The present study provides software to enhance such algorithms for feature detection, quality assessment, and annotation.

Results
xMSanalyzer is a set of utilities for automated processing of metabolomics data. The utilites can be classified into four main modules to: 1) improve feature detection for replicate analyses by systematic re-extraction with multiple parameter settings and data merger to optimize the balance between sensitivity and reliability, 2) evaluate sample quality and feature consistency, 3) detect feature overlap between datasets, and 4) characterize high-resolution m/z matches to small molecule metabolites and biological pathways using multiple chemical databases. The package was tested with plasma samples and shown to more than double the number of features extracted while improving quantitative reliability of detection. MS/MS analysis of a random subset of peaks that were exclusively detected using xMSanalyzer confirmed that the optimization scheme improves detection of real metabolites.

Conclusions
xMSanalyzer is a package of utilities for data extraction, quality control assessment, detection of overlapping and unique metabolites in multiple datasets, and batch annotation of metabolites. The program was designed to integrate with existing packages such as apLCMS and XCMS, but the framework can also be used to enhance data extraction for other LC/MS data software.
Saccharopolyspora erythraea’sgenome is organised in high-order transcriptional regions mediated by targeted degradation at the metabolic switch
Authors: Marcellin Esteban , Mercer Tim R , Licona-Cassani Cuauhtemoc , Palfreyman Robin W , Dinger Marcel E , Steen Jennifer A , Mattick John S , Nielsen Lars K 
Published: January 2013

Abstract

Background
Actinobacteria form a major bacterial phylum that includes numerous human pathogens. Actinobacteria are primary contributors to carbon cycling and also represent a primary source of industrial high value products such as antibiotics and biopesticides. Consistent with other members of the actinobacterial phylum, Saccharopolyspora erythraea undergo a transitional switch. This switch is characterized by numerous metabolic and morphological changes.

Results
We performed RNA sequencing to analyze the transcriptional changes that occur during growth of Saccharopolyspora erythraea in batch culture. By sequencing RNA across the fermentation time course, at a mean coverage of 4000X, we found the vast majority of genes to be prominently expressed, showing that we attained close to saturating sequencing coverage of the transcriptome. During the metabolic switch, global changes in gene expression influence the metabolic machinery of Saccharopolyspora erythraea, resetting an entirely novel gene expression program. After the switch, global changes include the broad repression of half the genes regulated by complex transcriptional mechanisms. Paralogous transposon clusters, delineate these transcriptional programs. The new transcriptional program is orchestrated by a bottleneck event during which mRNA levels are severely restricted by targeted mRNA degradation.

Conclusions
Our results, which attained close to saturating sequencing coverage of the transcriptome, revealed unanticipated transcriptional complexity with almost one third of transcriptional content originating from un-annotated sequences. We showed that the metabolic switch is a sophisticated mechanism of transcriptional regulation capable of resetting and re-synchronizing gene expression programs at extraordinary speed and scale.
Effect of the myostatin locus on muscle mass and intramuscular fat content in a cross between mouse lines selected for hypermuscularity
Authors: Kärst Stefan , Strucken Eva M , Schmitt Armin O , Weyrich Alexandra , de Villena Fernando PM , Yang Hyuna , Brockmann Gudrun A 
Published: January 2013

Abstract

Background
This study is aimed at the analysis of genetic and physiological effects of myostatin on economically relevant meat quality traits in a genetic background of high muscularity. For this purpose, we generated G3 populations of reciprocal crosses between the two hypermuscular mouse lines BMMI866, which carries a myostatin mutation and is lean, and BMMI806, which has high intramuscular and body fat content. To assess the relationship between muscle mass, body composition and muscle quality traits, we also analysed intramuscular fat content (IMF), water holding capacity (WHC), and additional physiological parameters in M. quadriceps and M. longissimus in 308 G3-animals.

Results
We found that individuals with larger muscles have significantly lower total body fat (r = −0.28) and IMF (r = −0.64), and in females, a lower WHC (r = −0.35). In males, higher muscle mass was also significantly correlated with higher glycogen contents (r = 0.2) and lower carcass pH-values 24 hours after dissection (r = −0.19). Linkage analyses confirmed the influence of the myostatin mutation on higher lean mass (1.35 g), reduced body fat content (−1.15%), and lower IMF in M. longissimus (−0.13%) and M. quadriceps (−0.07%). No effect was found for WHC. A large proportion of variation of intramuscular fat content of the M. longissimus at the myostatin locus could be explained by sex (23%) and direction-of-cross effects (26%). The effects were higher in males (+0.41%). An additional locus with negative over-dominance effects on total fat mass (−0.55 g) was identified on chromosome 16 at 94 Mb (86–94 Mb) which concurs with fat related QTL in syntenic regions on SSC13 in pigs and BTA1 in cattle.

Conclusion
The data shows QTL effects on mouse muscle that are similar to those previously observed in livestock, supporting the mouse model. New information from the mouse model helps to describe variation in meat quantity and quality, and thus contribute to research in livestock.
Transcriptome analysis of rice root heterosis by RNA-Seq
Authors: Zhai Rongrong , Feng Yue , Wang Huimin , Zhan Xiaodeng , Shen Xihong , Wu Weiming , Zhang Yingxin , Chen Daibo , Dai Gaoxing , Yang Zhanlie , Cao Liyong , Cheng Shihua 
Published: January 2013

Abstract

Background
Heterosis is a phenomenon in which hybrids exhibit superior performance relative to parental phenotypes. In addition to the heterosis of above-ground agronomic traits on which most existing studies have focused, root heterosis is also an indispensable component of heterosis in the entire plant and of major importance to plant breeding. Consequently, systematic investigations of root heterosis, particularly in reproductive-stage rice, are needed. The recent advent of RNA sequencing technology (RNA-Seq) provides an opportunity to conduct in-depth transcript profiling for heterosis studies.

Results
Using the Illumina HiSeq 2000 platform, the root transcriptomes of the super-hybrid rice variety Xieyou 9308 and its parents were analyzed at tillering and heading stages. Approximately 391 million high-quality paired-end reads (100-bp in size) were generated and aligned against the Nipponbare reference genome. We found that 38,872 of 42,081 (92.4%) annotated transcripts were represented by at least one sequence read. A total of 829 and 4186 transcripts that were differentially expressed between the hybrid and its parents (DGHP) were identified at tillering and heading stages, respectively. Out of the DGHP, 66.59% were down-regulated at the tillering stage and 64.41% were up-regulated at the heading stage. At the heading stage, the DGHP were significantly enriched in pathways related to processes such as carbohydrate metabolism and plant hormone signal transduction, with most of the key genes that are involved in the two pathways being up-regulated in the hybrid. Several significant DGHP that could be mapped to quantitative trait loci (QTLs) for yield and root traits are also involved in carbohydrate metabolism and plant hormone signal transduction pathways.

Conclusions
An extensive transcriptome dataset was obtained by RNA-Seq, giving a comprehensive overview of the root transcriptomes at tillering and heading stages in a heterotic rice cross and providing a useful resource for the rice research community. Using comparative transcriptome analysis, we detected DGHP and identified a group of potential candidate transcripts. The changes in the expression of the candidate transcripts may lay a foundation for future studies on molecular mechanisms underlying root heterosis.