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The relationship between significant liver fibrosis risk and covariates.

Figshare2025-04-01 更新2026-04-28 收录

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https://figshare.com/articles/dataset/The_relationship_between_significant_liver_fibrosis_risk_and_covariates_/28707745 数据链接链接失效反馈

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资源简介：

The relationship between significant liver fibrosis risk and covariates.

应用场景：

创建时间：

2025-04-01

生长变异归因

协变量分析

MAM represents the variation explained by the minimum adequate model, composed of multiple covariates. The rows illustrate changes in the amount of variation explained when certain covariates are remo

NIAID Data Ecosystem80

Demographic and clinical characteristics of subjects in the HALT-C Trial study of IL28B genotype.

肝纤维化风险评估

基因型分析

aIQR – Intra-quartile range (25th percentile–75th percentile). bFinal assessment of fibrosis stage was performed by a panel of hepatopathologists.

NIAID Data Ecosystem30

Multivariate analysis of covariates associated with suspected cholangiocarcinoma (N = 3,400).

胆管癌风险因素

协变量分析

Multivariate analysis of covariates associated with suspected cholangiocarcinoma (N = 3,400).

NIAID Data Ecosystem20

Clinical and laboratory information study participants with and without HBV and HCV, with different degrees of disease.

病毒性肝炎临床研究

肝纤维化风险评估

ALT: alanine aminotransferase; GGT: gamma-glutamyl transferase; aFibrosis Stages—F0: no fibrosis; F1: portal without septa; F2: portal with some septa; F3: many septa without cirrhosis; F4: cirrhosis;

NIAID Data Ecosystem50

Impact of visceral fat area on significant liver fibrosis in patients with nonalcoholic fatty liver disease and establishment of a predictive model

肝纤维化风险评估

NAFLD临床诊断模型

ObjectiveTo investigate whether visceral fat area （VFA） is an independent risk factor for significant liver fibrosis in patients with nonalcoholic fatty liver disease （NAFLD） based on clinical data， a

中国科学数据2026-04-08 更新20

The relationship between significant liver fibrosis risk and covariates.

资源简介：

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