Publications by authors named "Shiliang Ling"

Prediction models were developed to assess the risk of cardiovascular disease (CVD) based on micronutrient intake, utilizing data from 90,167 UK Biobank participants. Four machine learning models were employed to predict CVD risk, with performance evaluation metrics including area under the receiver operating characteristic curve (AUC), accuracy, recall, specificity, and F1-score. The eXtreme Gradient Boosting (XGBoost) model was utilized to rank the importance of 11 micronutrients in cardiovascular health.

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Background: Based on data from the Global Burden of Disease study, the burden of cancer attributable to occupational risks between 1990 and 2019 was explored.

Methods: The estimated burden in different regions was compared in terms of the age-standardized death rates (ASDRs), age-standardized disability-adjusted life years (DALYs) rates, and corresponding estimated annual percentage changes (EAPCs). The comparative risk assessment framework was used to estimate the risk of death and DALYs attributable to occupational risk factors.

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The "hotness" or "coldness" of the tumors are determined by the information of the cancer cells themselves, tumor immune characteristics, tumor microenvironment, and signaling mechanisms, which are key factors affecting cancer patients' clinical efficacy. The switch mechanism of "hotness" and "coldness" and its corresponding pathological characteristics and treatment strategies are the frontier and hot spot of tumor treatment. How to distinguish the "hotness" or "coldness" effectively and clarify the causes, microenvironment state, and characteristics are very important for the tumor response and efficacy treatments.

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We aimed to estimate the incidence, mortality, disability-adjusted life years (DALYs) for chronic obstructive pulmonary disease (COPD) in 204 countries and territories. We examined the variations in these trends by country, gender, age group, and sociodemographic index (SDI). We calculated the estimated annual percentage changes (EAPCs) to assess temporal trends in the age-standardized incidence rate, age-standardized mortality rate, and age-standardized DALYs of COPD from 1990 to 2019.

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Background: We estimated the global burden of ovarian cancer (OC) in 194 countries and territories between 2007 and 2017.

Methods: Data were extracted from the Global Burden of Disease (GBD), Injuries, and Risk Factors 2017 study.

Results: Globally, 286 126.

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Objective: To report the global burden of maternal disorders and their main subcategories in 195 countries and territories between 2007 and 2017.

Methods: The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimated maternal disease burden at global, regional, and country levels. Maternal disorders were disaggregated into 10 categories, and estimated incidence and disability-adjusted life years (DALYs) of maternal disorders were reported separately.

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