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https://www.readbyqxmd.com/read/28938657/a-network-meta-analysis-on-the-efficacy-of-targeted-agents-in-combination-with-chemotherapy-for-treatment-of-advanced-metastatic-triple-negative-breast-cancer
#1
Long Ge, Yan Tang, Qiu-Ning Zhang, Jin-Hui Tian, Xiao-Hu Wang, Dawid Pieper, Bei Pan, Lun Li, Juan Ling, Zhi-Tong Bing, Ke-Hu Yang
OBJECTIVE: Our network meta-analysis aimed to determine the assistant efficacy of targeted therapy in combined with chemotherapy for advanced/metastatic triple-negative breast cancer (TNBC). RESULTS: A total of 15 randomized controlled trials (RCTs), involving 2,410 patients, met our inclusion criteria. Eight targeted agents involving 11 treatment arms were included. The methodological quality of included RCTs was acceptable. The results of direct comparisons showed that progression-free survival (PFS) was significantly longer with bevacizumab+chemotherapy when compared to chemotherapy alone (hazard ratio [HR] = 0...
August 29, 2017: Oncotarget
https://www.readbyqxmd.com/read/28938225/occupant-level-injury-severity-analyses-for-taxis-in-hong-kong-a-bayesian-space-time-logistic-model
#2
Fanyu Meng, Pengpeng Xu, S C Wong, Helai Huang, Y C Li
This study aimed to identify the factors affecting the crash-related severity level of injuries in taxis and quantify the associations between these factors and taxi occupant injury severity. Casualties resulting from taxi crashes from 2004 to 2013 in Hong Kong were divided into four categories: taxi drivers, taxi passengers, private car drivers and private car passengers. To avoid any biased interpretation caused by unobserved spatial and temporal effects, a Bayesian hierarchical logistic modeling approach with conditional autoregressive priors was applied, and four different model forms were tested...
September 19, 2017: Accident; Analysis and Prevention
https://www.readbyqxmd.com/read/28938012/f-map-a-bayesian-approach-to-infer-the-gene-regulatory-network-using-external-hints
#3
Maryam Shahdoust, Hamid Pezeshk, Hossein Mahjub, Mehdi Sadeghi
The Common topological features of related species gene regulatory networks suggest reconstruction of the network of one species by using the further information from gene expressions profile of related species. We present an algorithm to reconstruct the gene regulatory network named; F-MAP, which applies the knowledge about gene interactions from related species. Our algorithm sets a Bayesian framework to estimate the precision matrix of one species microarray gene expressions dataset to infer the Gaussian Graphical model of the network...
2017: PloS One
https://www.readbyqxmd.com/read/28937984/evidence-of-complex-contagion-of-information-in-social-media-an-experiment-using-twitter-bots
#4
Bjarke Mønsted, Piotr Sapieżyński, Emilio Ferrara, Sune Lehmann
It has recently become possible to study the dynamics of information diffusion in techno-social systems at scale, due to the emergence of online platforms, such as Twitter, with millions of users. One question that systematically recurs is whether information spreads according to simple or complex dynamics: does each exposure to a piece of information have an independent probability of a user adopting it (simple contagion), or does this probability depend instead on the number of sources of exposure, increasing above some threshold (complex contagion)? Most studies to date are observational and, therefore, unable to disentangle the effects of confounding factors such as social reinforcement, homophily, limited attention, or network community structure...
2017: PloS One
https://www.readbyqxmd.com/read/28934804/comparison-of-7-surgical-interventions-for-lumbar-disc-herniation-a-network-meta-analysis
#5
Fan Feng, Qianqian Xu, Feifei Yan, Yuanlong Xie, Zhouming Deng, Chao Hu, Xiaobin Zhu, Lin Cai
BACKGROUND: The number of interventions on intervertebral discs rapidly increased and the treatment options for lumbar disc surgery quickly evolved. It is important that the safety and efficacy of all new innovative procedures be compared with currently accepted forms of treatment; however, the previous pairwise meta-analyses could not develop the hierarchy of these treatments. OBJECTIVES: The purpose of the study is to perform a network meta-analysis to evaluate the clinical results of 7 surgical interventions for the treatment of lumbar disc herniation...
September 2017: Pain Physician
https://www.readbyqxmd.com/read/28934265/comparative-effectiveness-of-different-transarterial-embolization-therapies-alone-or-in-combination-with-local-ablative-or-adjuvant-systemic-treatments-for-unresectable-hepatocellular-carcinoma-a-network-meta-analysis-of-randomized-controlled-trials
#6
Konstantinos Katsanos, Panagiotis Kitrou, Stavros Spiliopoulos, Ioannis Maroulis, Theodore Petsas, Dimitris Karnabatidis
BACKGROUND: The optimal transcatheter embolization strategy for patients with unresectable hepatocellular carcinoma (HCC) remains elusive. We conducted a systematic review and network meta-analysis (NMA) of different embolization options for unresectable HCC. METHODS: Medical databases were searched for randomized controlled trials evaluating bland transarterial embolization (TAE), conventional TACE, drug-eluting bead chemoembolization (DEB-TACE), or transarterial radioembolization (TARE), either alone or combined with adjuvant chemotherapy, or local liver ablation, or external radiotherapy for unresectable HCC up to June 2017...
2017: PloS One
https://www.readbyqxmd.com/read/28931691/vertical-transmission-of-hepatitis-c-virus-variable-transmission-bottleneck-and-evidence-of-mid-gestation-in-utero-infection
#7
Sébastien Fauteux-Daniel, Ariane Larouche, Virginie Calderon, Jonathan Boulais, Chanel Béland, Doris G Ransy, Marc Boucher, Valérie Lamarre, Normand Lapointe, Isabelle Boucoiran, Armelle Le Campion, Hugo Soudeyns
Hepatitis C virus (HCV) can be transmitted from mother to child during pregnancy and childbirth. However, the timing and precise biologic mechanisms that are involved in this process are incompletely understood, as are the determinants that influence transmission of particular HCV variants. Here we report results of a longitudinal assessment of HCV quasispecies diversity and composition in 5 cases of vertical HCV transmission, including 3 women coinfected with HIV-1. The population structure of HCV variant spectra based on E2 envelope gene sequences (nucleotide positions 1491-1787), including hypervariable regions 1 and 2, was characterized using next-generation sequencing and median joining network analysis...
September 20, 2017: Journal of Virology
https://www.readbyqxmd.com/read/28930827/comparative-efficacy-and-safety-of-oral-antidiabetic-drugs-and-insulin-in-treating-gestational-diabetes-mellitus-an-updated-prisma-compliant-network-meta-analysis
#8
Hui-Ling Liang, Shu-Juan Ma, Yan-Ni Xiao, Hong-Zhuan Tan
BACKGROUND: The safety and efficacy of different drugs in treatment of gestational diabetes mellitus (GDM) patients who could not maintain normal glucose level only through diet and exercise remains to be debated. We performed this network meta-analysis (NAM) to compare and rank different antidiabetic drugs in glucose level control and pregnancy outcomes in GDM patients. METHODS: We searched PubMed, Cochrane Library, Web of Science, and Embase up to December 31, 2016...
September 2017: Medicine (Baltimore)
https://www.readbyqxmd.com/read/28930675/dynamic-rearrangement-of-cell-states-detected-by-systematic-screening-of-sequential-anticancer-treatments
#9
Simon Koplev, James Longden, Jesper Ferkinghoff-Borg, Mathias Blicher Bjerregård, Thomas R Cox, Janine T Erler, Jesper T Pedersen, Franziska Voellmy, Morten O A Sommer, Rune Linding
Signaling networks are nonlinear and complex, involving a large ensemble of dynamic interaction states that fluctuate in space and time. However, therapeutic strategies, such as combination chemotherapy, rarely consider the timing of drug perturbations. If we are to advance drug discovery for complex diseases, it will be essential to develop methods capable of identifying dynamic cellular responses to clinically relevant perturbations. Here, we present a Bayesian dose-response framework and the screening of an oncological drug matrix, comprising 10,000 drug combinations in melanoma and pancreatic cancer cell lines, from which we predict sequentially effective drug combinations...
September 19, 2017: Cell Reports
https://www.readbyqxmd.com/read/28929121/differential-and-combined-effects-of-physical-activity-profiles-and-prohealth-behaviors-on-diabetes-prevalence-among-blacks-and-whites-in-the-us-population-a-novel-bayesian-belief-network-machine-learning-analysis
#10
Azizi A Seixas, Dwayne A Henclewood, Aisha T Langford, Samy I McFarlane, Ferdinand Zizi, Girardin Jean-Louis
The current study assessed the prevalence of diabetes across four different physical activity lifestyles and infer through machine learning which combinations of physical activity, sleep, stress, and body mass index yield the lowest prevalence of diabetes in Blacks and Whites. Data were extracted from the National Health Interview Survey (NHIS) dataset from 2004-2013 containing demographics, chronic diseases, and sleep duration (N = 288,888). Of the total sample, 9.34% reported diabetes (where the prevalence of diabetes was 12...
2017: Journal of Diabetes Research
https://www.readbyqxmd.com/read/28928409/modelling-sequences-and-temporal-networks-with-dynamic-community-structures
#11
Tiago P Peixoto, Martin Rosvall
In evolving complex systems such as air traffic and social organisations, collective effects emerge from their many components' dynamic interactions. While the dynamic interactions can be represented by temporal networks with nodes and links that change over time, they remain highly complex. It is therefore often necessary to use methods that extract the temporal networks' large-scale dynamic community structure. However, such methods are subject to overfitting or suffer from effects of arbitrary, a priori-imposed timescales, which should instead be extracted from data...
September 19, 2017: Nature Communications
https://www.readbyqxmd.com/read/28926930/modeling-of-bn-lifetime-prediction-of-a-system-based-on-integrated-multi-level-information
#12
Jingbin Wang, Xiaohong Wang, Lizhi Wang
Predicting system lifetime is important to ensure safe and reliable operation of products, which requires integrated modeling based on multi-level, multi-sensor information. However, lifetime characteristics of equipment in a system are different and failure mechanisms are inter-coupled, which leads to complex logical correlations and the lack of a uniform lifetime measure. Based on a Bayesian network (BN), a lifetime prediction method for systems that combine multi-level sensor information is proposed. The method considers the correlation between accidental failures and degradation failure mechanisms, and achieves system modeling and lifetime prediction under complex logic correlations...
September 15, 2017: Sensors
https://www.readbyqxmd.com/read/28926794/depression-recognition-according-to-heart-rate-variability-using-bayesian-networks
#13
Danni Kuang, Rongqian Yang, Xiuwen Chen, Guohui Lao, Fengchun Wu, Xiong Huang, Ruixue Lv, Lei Zhang, Chuanxu Song, Shanxing Ou
BACKGROUND: Doctors mainly use scale tests and subjective judgment in the clinical diagnosis of depression. Researches have demonstrated that depression is associated with the dysfunction of the autonomic nervous system (ANS), where its modulation can be evaluated by heart rate variability (HRV). Depression patients have lower HRV than healthy subjects. Therefore, HRV may be used to distinguish depression patients from healthy people. METHODS: HRV signals were collected from 76 female subjects composed of 38 depression patients and 38 healthy people...
September 11, 2017: Journal of Psychiatric Research
https://www.readbyqxmd.com/read/28926232/prediction-errors-of-molecular-machine-learning-models-lower-than-hybrid-dft-error
#14
Felix A Faber, Luke Hutchison, Bing Huang, Justin Gilmer, Samuel S Schoenholz, George E Dahl, Oriol Vinyals, Steven Kearnes, Patrick F Riley, O Anatole von Lilienfeld
We investigate the impact of choosing regres- sors and molecular representations for the construction of fast machine learning (ML) models of thirteen electronic ground-state properties of organic molecules. The performance of each regressor/representation/property combination is assessed using learning curves which report out- of-sample errors as a function of training set size with up to ∼118k distinct molecules. Molecular structures and properties at hybrid density functional theory (DFT) level of theory come from the QM9 database [Ramakrishnan et al, Scientific Data 1 140022 (2014)] and include enthalpies and free energies of atomization , HOMO/LUMO energies and gap, dipole moment, polarizability, zero point vibrational energy, heat capacity and the highest fundamental vibrational frequency...
September 19, 2017: Journal of Chemical Theory and Computation
https://www.readbyqxmd.com/read/28925817/using-multiple-classifiers-for-predicting-the-risk-of-endovascular-aortic-aneurysm-repair-re-intervention-through-hybrid-feature-selection
#15
Omneya Attallah, Alan Karthikesalingam, Peter Je Holt, Matthew M Thompson, Rob Sayers, Matthew J Bown, Eddie C Choke, Xianghong Ma
Feature selection is essential in medical area; however, its process becomes complicated with the presence of censoring which is the unique character of survival analysis. Most survival feature selection methods are based on Cox's proportional hazard model, though machine learning classifiers are preferred. They are less employed in survival analysis due to censoring which prevents them from directly being used to survival data. Among the few work that employed machine learning classifiers, partial logistic artificial neural network with auto-relevance determination is a well-known method that deals with censoring and perform feature selection for survival data...
September 1, 2017: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
https://www.readbyqxmd.com/read/28912425/predictive-models-of-minimal-hepatic-encephalopathy-for-cirrhotic-patients-based-on-large-scale-brain-intrinsic-connectivity-networks
#16
Yun Jiao, Xun-Heng Wang, Rong Chen, Tian-Yu Tang, Xi-Qi Zhu, Gao-Jun Teng
We aimed to find the most representative connectivity patterns for minimal hepatic encephalopathy (MHE) using large-scale intrinsic connectivity networks (ICNs) and machine learning methods. Resting-state fMRI was administered to 33 cirrhotic patients with MHE and 43 cirrhotic patients without MHE (NMHE). The connectivity maps of 20 ICNs for each participant were obtained by dual regression. A Bayesian machine learning technique, called Graphical Model-based Multivariate Analysis, was applied to determine ICN regions that characterized group differences...
September 14, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28898249/projecting-social-contact-matrices-in-152-countries-using-contact-surveys-and-demographic-data
#17
Kiesha Prem, Alex R Cook, Mark Jit
Heterogeneities in contact networks have a major effect in determining whether a pathogen can become epidemic or persist at endemic levels. Epidemic models that determine which interventions can successfully prevent an outbreak need to account for social structure and mixing patterns. Contact patterns vary across age and locations (e.g. home, work, and school), and including them as predictors in transmission dynamic models of pathogens that spread socially will improve the models' realism. Data from population-based contact diaries in eight European countries from the POLYMOD study were projected to 144 other countries using a Bayesian hierarchical model that estimated the proclivity of age-and-location-specific contact patterns for the countries, using Markov chain Monte Carlo simulation...
September 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28895893/applying-nonparametric-methods-to-analyses-of-short-term-fine-particulate-matter-exposure-and-hospital-admissions-for-cardiovascular-diseases-among-older-adults
#18
Louis Anthony Tony Cox, Xiaobin Liu, Liuhua Shi, Ke Zu, Julie Goodman
Short-term exposure to fine particulate matter (PM2.5) has been associated with increased risks of cardiovascular diseases (CVDs), but whether such associations are supportive of a causal relationship is unclear, and few studies have employed formal causal analysis methods to address this. We employed nonparametric methods to examine the associations between daily concentrations of PM2.5 and hospital admissions (HAs) for CVD among adults aged 75 years and older in Texas, USA. We first quantified the associations in partial dependence plots generated using the random forest approach...
September 12, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/28894545/comparing-performances-of-intelligent-classifier-algorithms-for-predicting-type-of-pain-in-patients-with-spinal-cord-injury
#19
Nasrolah Nasr HeidarAbadi, Laleh Hakemi, Pirhossein Kolivand, Reza Safdari, Marjan Ghazi Saeidi
BACKGROUND AND AIM: In this study, performances of classification techniques were compared in order to predict type of pain in patients with spinal cord injury. Pain is one of the main problems in people with spinal cord injury. Identifying the optimal classification technique will help improve decision support systems in clinical settings. METHODS: A descriptive retrospective analysis was performed in 253 patients. We compared performances of "Bayesian Networks", "Decision Tree", neural networks: "Multi-Layer Perceptron" (MLP), and "Support Vector Machines" (SVM)...
July 2017: Electronic Physician
https://www.readbyqxmd.com/read/28891142/network-meta-analysis-of-lorcaserin-and-oral-hypoglycaemics-for-patients-with-type-2-diabetes-mellitus-and-obesity
#20
L M Neff, M S Broder, D Beenhouwer, E Chang, E Papoyan, Z W Wang
In addition to weight loss, randomized controlled trials have shown improvement in glycaemic control in patients taking lorcaserin. The aim of this study aim was to compare adding lorcaserin or other glucose lowering medications to metformin on weight and glycaemic control. A systematic review and network meta-analysis of randomized controlled trials were conducted. Included studies (published 1990-2014) were of lorcaserin or glucose lowering medications in type 2 diabetic patients compared to placebo or different active treatments...
September 10, 2017: Clinical Obesity
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