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An internally validated prognostic nomogram model predicts the stone-free rate following endoscopic combined intrarenal surgery for renal stones.
BMC Urol
December 2024
The Department of Urology, Guangdong Second Provincial General Hospital, Guangzhou, 510317, China.
Background: Here, we aim to develop and validate a viable prognostic nomogram model for predicting a stone-free rate of kidney stones patients based on retrospective cohort analysis.
Methods: This is a retrospective study that obtained a continuous cohort from the databases of two hospitals (General Hospital of Southern Theater Command, and Guangdong Second Provincial General Hospital), including 522 patients with kidney stones who underwent Endoscopic Combined Intrarenal Surgery (ECIRS) from January 2015 to December 2022.The characteristics of the primary cohort between the SF (stone-free) and SR (stone residue) groups were identified using single factor and multivariate logistic regression analyses.
A hybrid epithelial-mesenchymal transition program enables basal epithelial cells to bypass stress-induced stasis and contributes to a metaplastic breast cancer progenitor state.
Breast Cancer Res
December 2024
Department of Pathology, University of California, San Francisco, San Francisco, CA, 94143, USA.
Background: Human mammary epithelial cell (HMEC) cultures encounter a stress-associated barrier termed stasis, during which most cells adopt a senescence-like phenotype. From these cultures, rare variants emerge from the basal epithelial population, re-initiating growth. Variants exhibit pre-malignant properties, including an aberrant epigenetic program that enables continued proliferation and acquisition of genetic changes.
View Article and Find Full Text PDFPrediction of prognosis, efficacy of lung adenocarcinoma by machine learning model based on immune and metabolic related genes.
Discov Oncol
December 2024
Department of Cardiothoracic Surgery, Zhangzhou Affiliated Hospital of Fujian Medical University, No. 59, Shengli Road, Zhangzhou, 363000, Fujian, China.
Background: The aim of this study is to integrate immune and metabolism-related genes in order to construct a predictive model for predicting the prognosis and treatment response of LUAD(lung adenocarcinoma) patients, aiming to address the challenges posed by this highly lethal and heterogeneous disease.
Material And Methods: Using TCGA-LUAD as the training subset, differential gene expression analysis, batch survival analysis, Lasso regression analysis, univariate and multivariate Cox regression analysis were performed to construct prognostic related gene models. GEO queue as validation subsets, is used to validate build Riskscore.
The Sociopolitical Foundations of Health Sector Solidarity: A Cross-Sectional Study of Public Attitudes Toward the Health System in Taiwan.
Health Care Anal
December 2024
Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Publicly-funded health systems have traditionally been presumed to be underpinned by solidarity among the users. To which extent such solidarity presents and associates with what factors is understudied in the non-western countries. This article explores the distribution of health sector solidarity and its relationships with sociopolitical factors in Taiwan.
View Article and Find Full Text PDFThe impact of green technology innovation on carbon emission reduction capacity in China: Based on spatial econometrics and threshold effect analysis.
PLoS One
December 2024
School of Accountancy, Anyang Institute of Technology, Anyang, China.
Dual carbon targets is the key to sustainable development in China and even the world, so how to achieve green low-carbon economy is a general trend. As an important guarantee for carbon emission reduction, green technology innovation is essential for promoting the development of green economy. The analysis of the internal mechanism of green technology innovation affecting carbon emission reduction will help provide the development direction for green technology innovation, help China's carbon neutrality and carbon peak goals as soon as possible, and contribute Chinese wisdom to the sustainable development of the world.
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