keyword
https://read.qxmd.com/read/38647728/predicting-contralateral-extraprostatic-extension-in-unilateral-high-risk-prostate-cancer-a-multicentric-external-validation-study
#1
JOURNAL ARTICLE
Romain Diamand, Jean-Baptiste Roche, Vito Lacetera, Giuseppe Simone, Olivier Windisch, Daniel Benamran, Alexandre Fourcade, Georges Fournier, Gaelle Fiard, Guillaume Ploussard, Thierry Roumeguère, Alexandre Peltier, Simone Albisinni
PURPOSE: Accurate prediction of extraprostatic extension (EPE) is crucial for decision-making in radical prostatectomy (RP), especially in nerve-sparing strategies. Martini et al. introduced a three-tier algorithm for predicting contralateral EPE in unilateral high-risk prostate cancer (PCa). The aim of the study is to externally validate this model in a multicentric European cohort of patients. METHODS: The data from 208 unilateral high-risk PCa patients diagnosed through magnetic resonance imaging (MRI)-targeted and systematic biopsies, treated with RP between January 2016 and November 2021 at eight referral centers were collected...
April 22, 2024: World Journal of Urology
https://read.qxmd.com/read/38647605/development-and-validation-of-a-nomogram-to-predict-the-risk-of-residual-low-back-pain-after-tubular-microdiskectomy-of-lumbar-disk-herniation
#2
JOURNAL ARTICLE
Fengzhao Zhu, Dongqing Jia, Yaqing Zhang, Chencheng Feng, Yan Peng, Ya Ning, Xue Leng, Jianmin Li, Yue Zhou, Changqing Li, Bo Huang
OBJECTIVE: Tubular microdiskectomy (tMD) is one of the most commonly used for treating lumbar disk herniation. However, there still patients still complain of persistent postoperative residual low back pain (rLBP) postoperatively. This study attempts to develop a nomogram to predict the risk of rLBP after tMD. METHODS: The patients were divided into non-rLBP (LBP VAS score < 2) and rLBP (LBP VAS score ≥ 2) group...
April 22, 2024: European Spine Journal
https://read.qxmd.com/read/38647504/effect-of-changing-the-radiation-dose-range-on-the-in-vitro-cytogenetic-dose-response-to-gamma-rays
#3
JOURNAL ARTICLE
Volodymyr A Vinnikov
PURPOSE: To examine the distortion of the linear quadratic (LQ) model of in vitro cytogenetic dose response over an extended range of γ-ray doses by analyzing the available literature data, and to establish the dose ranges, in which the LQ dose response curve (DRC) can be most accurately fitted for biological dosimetry. MATERIALS AND METHODS: Data on yields of dicentrics (Dic) or dicentrics plus centric rings (Dic + CR) induced in vitro in human lymphocytes by acute γ-rays were extracted from 108 open sources...
April 22, 2024: International Journal of Radiation Biology
https://read.qxmd.com/read/38647367/magnetostriction-measurements-at-milli-kelvin-temperatures-using-a-fabry-p%C3%A3-rot-interferometer
#4
JOURNAL ARTICLE
Finnian J Blaauw-Smith, Luke S Trainor, Gavin G G King, Nicholas J Lambert, Masaya Hiraishi, Jevon J Longdell
This paper demonstrates an optical technique to measure magnetostrictive strain in a cryogenic environment using a Fabry-Pérot resonator spaced by crystal samples. Optical measurement techniques are calibration-free and highly sensitive. This technique was used to measure the magnetostrictive strain of neodymium gallate at a temperature of 49 mK to be λ = 1.3 × 10-5 at 3 T, with a sensitivity of 3.0 × 10-8. We highlight the interesting properties of the crystal's magnetic ordering...
April 1, 2024: Review of Scientific Instruments
https://read.qxmd.com/read/38646999/single-proxy-control
#5
JOURNAL ARTICLE
Chan Park, David B Richardson, Eric J Tchetgen Tchetgen
Negative control variables are sometimes used in nonexperimental studies to detect the presence of confounding by hidden factors. A negative control outcome (NCO) is an outcome that is influenced by unobserved confounders of the exposure effects on the outcome in view, but is not causally impacted by the exposure. Tchetgen Tchetgen (2013) introduced the Control Outcome Calibration Approach (COCA) as a formal NCO counterfactual method to detect and correct for residual confounding bias. For identification, COCA treats the NCO as an error-prone proxy of the treatment-free counterfactual outcome of interest, and involves regressing the NCO on the treatment-free counterfactual, together with a rank-preserving structural model, which assumes a constant individual-level causal effect...
March 27, 2024: Biometrics
https://read.qxmd.com/read/38646777/reference-data-set-for-circular-dichroism-spectroscopy-comprised-of-validated-intrinsically-disordered-protein-models
#6
JOURNAL ARTICLE
Gabor Nagy, Søren Vrønning Hoffmann, Nykola C Jones, Helmut Grubmüller
Circular dichroism (CD) spectroscopy is an analytical technique that measures the wavelength-dependent differential absorbance of circularly polarized light and is applicable to most biologically important macromolecules, such as proteins, nucleic acids, and carbohydrates. It serves to characterize the secondary structure composition of proteins, including intrinsically disordered proteins, by analyzing their recorded spectra. Several computational tools have been developed to interpret protein CD spectra. These methods have been calibrated and tested mostly on globular proteins with well-defined structures, mainly due to the lack of reliable reference structures for disordered proteins...
April 22, 2024: Applied Spectroscopy
https://read.qxmd.com/read/38646745/stem-moisture-content-prediction-model-for-larix-olgensis-based-on-beta-regression
#7
JOURNAL ARTICLE
Hua-Yan Cao, Zheng Miao, Yuan-Shuo Hao, Li-Hu Dong
To investigate the longitudinal variation patterns of sapwood, heartwood, bark and stem moisture content along the trunk of artificial Larix olgensis , we constructed mixed effect models of moisture content based on beta regression by combining the effects of sampling plot and sample trees. We used two sampling schemes to calibrate the model, without limiting the relative height (Scheme Ⅰ) and with a limiting height of less than 2 m (Scheme II). The results showed that sapwood and stem moisture content increased gradually along the trunk, heartwood moisture content decreased slightly and then increased along the trunk, and bark moisture content increased along the trunk and then levelled off before increasing...
March 18, 2024: Ying Yong Sheng Tai Xue Bao, the Journal of Applied Ecology
https://read.qxmd.com/read/38646662/a-dynamic-spatial-filtering-approach-to-mitigate-underestimation-bias-in-field-calibrated-low-cost-sensor-air-pollution-data
#8
JOURNAL ARTICLE
Claire Heffernan, Roger PenG, Drew R Gentner, Kirsten Koehler, Abhirup Datta
Low-cost air pollution sensors, offering hyper-local characterization of pollutant concentrations, are becoming increasingly prevalent in environmental and public health research. However, low-cost air pollution data can be noisy, biased by environmental conditions, and usually need to be field-calibrated by collocating low-cost sensors with reference-grade instruments. We show, theoretically and empirically, that the common procedure of regression-based calibration using collocated data systematically underestimates high air pollution concentrations, which are critical to diagnose from a health perspective...
December 2023: Annals of Applied Statistics
https://read.qxmd.com/read/38646189/performance-and-emissions-data-of-an-internal-combustion-engine-operating-with-different-ethanol-water-mixtures-and-compression-ratios
#9
JOURNAL ARTICLE
Darlan Jorge Gil Torres, André de Souza Mendes, Cyro Albuquerque
This study presents performance and emissions data of an Otto cycle mono-cylinder combustion engine operating with two different compression rates and several mixtures of anhydrous ethanol fuel and water. The instrumented engine was mounted on a dynamometer with the ignition point and injection fuel advance calibrated to obtain the maximum torque and mixture in stoichiometric conditions. Characteristic engine performance parameters and emission fractions from its exhaust system were acquired from 2,000 rpm to 4,000 rpm with fuel mixtures of up to 50% water content...
June 2024: Data in Brief
https://read.qxmd.com/read/38645862/-identification-of-osteoarthritis-inflamm-aging-biomarkers-by-integrating-bioinformatic-analysis-and-machine-learning-strategies-and-the-clinical-validation
#10
JOURNAL ARTICLE
Qiao Zhou, Jian Liu, Yan Zhu, Yuan Wang, Guizhen Wang, Yajun Qi, Yuedi Hu
OBJECTIVE: To identify inflamm-aging related biomarkers in osteoarthritis (OA). METHODS: Microarray gene profiles of young and aging OA patients were obtained from the Gene Expression Omnibus (GEO) database and aging-related genes (ARGs) were obtained from the Human Aging Genome Resource (HAGR) database. The differentially expressed genes of young OA and older OA patients were screened and then intersected with ARGs to obtain the aging-related genes of OA. Enrichment analysis was performed to reveal the potential mechanisms of aging-related markers in OA...
March 20, 2024: Sichuan da Xue Xue Bao. Yi Xue Ban, Journal of Sichuan University. Medical Science Edition
https://read.qxmd.com/read/38645854/-construction-and-validation-of-prediction-models-of-risk-factors-for-early-death-in-patients-with-metastatic-melanoma
#11
JOURNAL ARTICLE
Siru Li, Jing Li, Qi Yang, Cunli Yin, Bin Liu
OBJECTIVE: To construct nomogram models to predict the risk factors for early death in patients with metastatic melanoma (MM). METHODS: The study covered 2138 cases from the Surveillance, Epidemiology, and End Results Program (SEER) database and all these patients were diagnosed with MM between 2010 and 2015. Logistic regression was performed to identify independent risk factors affecting early death in MM patients. These risk factors were then used to construct nomograms of all-cause early death and cancer-specific early death...
March 20, 2024: Sichuan da Xue Xue Bao. Yi Xue Ban, Journal of Sichuan University. Medical Science Edition
https://read.qxmd.com/read/38645814/retrograde-intrarenal-surgery-using-the-ily-robotic-flexible-ureteroscope-a-single-centre-experience
#12
JOURNAL ARTICLE
Jan Łaszkiewicz, Wojciech Krajewski, Łukasz Nowak, Joanna Chorbińska, Francesco Del Giudice, Aleksandra Sójka, Małgorzata Mazur, Szymon Pisarski, Wojciech Tomczak, Bartosz Małkiewicz, Tomasz Szydełko
INTRODUCTION: The ILY robotic flexible ureteroscope has been introduced in order to improve intraoperative ergonomics, reduce operator distance from radiation and shorten the learning curve. In this study we aimed to assess the clinical performance and feasibility of the ILY robot during retrograde intrarenal surgery (RIRS) and combined endoscopic procedures (miniECIRS). MATERIAL AND METHODS: The RIRS procedures were performed using the ILY robotic arm in 57 adult patients (46 RIRS and 11 miniECIRS) from 2022 to 2023...
2024: Central European Journal of Urology
https://read.qxmd.com/read/38645766/an-evaluation-of-synthetic-data-augmentation-for-mitigating-covariate-bias-in-health-data
#13
JOURNAL ARTICLE
Lamin Juwara, Alaa El-Hussuna, Khaled El Emam
Data bias is a major concern in biomedical research, especially when evaluating large-scale observational datasets. It leads to imprecise predictions and inconsistent estimates in standard regression models. We compare the performance of commonly used bias-mitigating approaches (resampling, algorithmic, and post hoc approaches) against a synthetic data-augmentation method that utilizes sequential boosted decision trees to synthesize under-represented groups. The approach is called synthetic minority augmentation (SMA)...
April 12, 2024: Patterns
https://read.qxmd.com/read/38645710/building-and-validation-of-an-acute-event-prediction-model-for-severe-mental-disorders
#14
JOURNAL ARTICLE
Ting Wang, Lin Wang, Yunliang Yao, Nan Liu, Aiqin Peng, Min Ling, Fei Ye, JiaoJiao Sun
BACKGROUND: The global incidence of acute events in psychiatric patients is intensifying, and models to successfully predict acute events have attracted much attention. OBJECTIVE: To explore the influence factors of acute incident severe mental disorders (SMDs) and the application of Rstudio statistical software, and build and verify a nomogram prediction model. METHODS: SMDs were taken as research objects. The questionnaire survey method was adopted to collect data...
2024: Neuropsychiatric Disease and Treatment
https://read.qxmd.com/read/38645707/prevalence-of-temporomandibular-joint-dysfunction-among-the-indigenous-population-of-india
#15
JOURNAL ARTICLE
Sreekumar Saranya, Chandrashekar Janakiram, Anil Mathew
PURPOSE: Primary dental care facilities and awareness about temporomandibular disorders are lacking among the indigenous population of Kerala. The aim of the study was to determine the prevalence of temporomandibular joint dysfunction (TMD) disorders among the indigenous populations of Kerala. METHODOLOGY: This cross-sectional study included adults aged 18 years and above, visiting primary health care centre in the tribal hamlet in the town of Kalpetta, Wayanad District, Kerala, India, for reasons other than dental...
2024: Journal of Oral Biology and Craniofacial Research
https://read.qxmd.com/read/38645609/utilization-of-a-high-pressure-vibrating%C3%A2-tube-densimeter-for-liquids-at-temperatures-down-to-100%C3%A2-k
#16
JOURNAL ARTICLE
Nils von Preetzmann, Daniel Zipplies, Roland Span, Markus Richter
UNLABELLED: A high-pressure vibrating tube densimeter, specified by the manufacturer for temperatures from (263 to 473) K at pressures up to 140 MPa, was tested at temperatures down to 100 K and from vacuum to pressures up to 10 MPa. To verify the functionality and overall performance under these conditions, the densimeter was calibrated with measurements under vacuum as well as methane and propane as reference fluids. The calibration range is T  = (120 to 200) K at pressures from (2...
2024: International Journal of Thermophysics
https://read.qxmd.com/read/38645446/application-value-of-the-automated-machine-learning-model-based-on-modified-ct-index-combined-with-serological-indices-in-the-early-prediction-of-lung-cancer
#17
JOURNAL ARTICLE
Leyuan Meng, Ping Zhu, Kaijian Xia
BACKGROUND AND OBJECTIVE: Accurately predicting the extent of lung tumor infiltration is crucial for improving patient survival and cure rates. This study aims to evaluate the application value of an improved CT index combined with serum biomarkers, obtained through an artificial intelligence recognition system analyzing CT features of pulmonary nodules, in early prediction of lung cancer infiltration using machine learning models. PATIENTS AND METHODS: A retrospective analysis was conducted on clinical data of 803 patients hospitalized for lung cancer treatment from January 2020 to December 2023 at two hospitals: Hospital 1 (Affiliated Changshu Hospital of Soochow University) and Hospital 2 (Nantong Eighth People's Hospital)...
2024: Frontiers in Public Health
https://read.qxmd.com/read/38645254/an-accurate-and-rapidly-calibrating-speech-neuroprosthesis
#18
Nicholas S Card, Maitreyee Wairagkar, Carrina Iacobacci, Xianda Hou, Tyler Singer-Clark, Francis R Willett, Erin M Kunz, Chaofei Fan, Maryam Vahdati Nia, Darrel R Deo, Aparna Srinivasan, Eun Young Choi, Matthew F Glasser, Leigh R Hochberg, Jaimie M Henderson, Kiarash Shahlaie, David M Brandman, Sergey D Stavisky
Brain-computer interfaces can enable rapid, intuitive communication for people with paralysis by transforming the cortical activity associated with attempted speech into text on a computer screen. Despite recent advances, communication with brain-computer interfaces has been restricted by extensive training data requirements and inaccurate word output. A man in his 40's with ALS with tetraparesis and severe dysarthria (ALSFRS-R = 23) was enrolled into the BrainGate2 clinical trial. He underwent surgical implantation of four microelectrode arrays into his left precentral gyrus, which recorded neural activity from 256 intracortical electrodes...
April 10, 2024: medRxiv
https://read.qxmd.com/read/38645134/the-landscape-of-regional-missense-mutational-intolerance-quantified-from-125-748-exomes
#19
Katherine R Chao, Lily Wang, Ruchit Panchal, Calwing Liao, Haneen Abderrazzaq, Robert Ye, Patrick Schultz, John Compitello, Riley H Grant, Jack A Kosmicki, Ben Weisburd, William Phu, Michael W Wilson, Kristen M Laricchia, Julia K Goodrich, Daniel Goldstein, Jacqueline I Goldstein, Christopher Vittal, Timothy Poterba, Samantha Baxter, Nicholas A Watts, Matthew Solomonson, Grace Tiao, Heidi L Rehm, Benjamin M Neale, Michael E Talkowski, Daniel G MacArthur, Anne O'Donnell-Luria, Konrad J Karczewski, Predrag Radivojac, Mark J Daly, Kaitlin E Samocha
Missense variants can have a range of functional impacts depending on factors such as the specific amino acid substitution and location within the gene. To interpret their deleteriousness, studies have sought to identify regions within genes that are specifically intolerant of missense variation 1-12 . Here, we leverage the patterns of rare missense variation in 125,748 individuals in the Genome Aggregation Database (gnomAD) 13 against a null mutational model to identify transcripts that display regional differences in missense constraint...
April 13, 2024: bioRxiv
https://read.qxmd.com/read/38645101/defining-and-reducing-variant-classification-disparities
#20
Moez Dawood, Shawn Fayer, Sriram Pendyala, Mason Post, Divya Kalra, Karynne Patterson, Eric Venner, Lara A Muffley, Douglas M Fowler, Alan F Rubin, Jennifer E Posey, Sharon E Plon, James R Lupski, Richard A Gibbs, Lea M Starita, Carla Daniela Robles-Espinoza, Willow Coyote-Maestas, Irene Gallego Romero
BACKGROUND: Multiplexed Assays of Variant Effects (MAVEs) can test all possible single variants in a gene of interest. The resulting saturation-style data may help resolve variant classification disparities between populations, especially for variants of uncertain significance (VUS). METHODS: We analyzed clinical significance classifications in 213,663 individuals of European-like genetic ancestry versus 206,975 individuals of non-European-like genetic ancestry from All of Us and the Genome Aggregation Database...
April 12, 2024: medRxiv
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