A5023658180- COVID-19 Clinical Research Studies
- Long-Term Effects of COVID-19
- Sepsis Diagnosis and Treatment
- Meta-analysis and systematic reviews
- Liver Disease Diagnosis and Treatment
- Trauma and Emergency Care Studies
- Metabolism, Diabetes, and Cancer
- Colorectal Cancer Screening and Detection
- Diabetes Treatment and Management
- Ferroptosis and cancer prognosis
- Computational Drug Discovery Methods
- Machine Learning in Bioinformatics
- Rheumatoid Arthritis Research and Therapies
- Traumatic Brain Injury and Neurovascular Disturbances
- Cardiac Arrest and Resuscitation
- SARS-CoV-2 and COVID-19 Research
- Cancer-related Molecular Pathways
- Immune responses and vaccinations
- Statistical Methods in Clinical Trials
- Intensive Care Unit Cognitive Disorders
- Hepatitis C virus research
- RNA and protein synthesis mechanisms
- Frailty in Older Adults
- Colorectal Cancer Surgical Treatments
- Cancer, Hypoxia, and Metabolism
Second Military Medical University
2014-2024
Naval University of Engineering
2024
Nanjing University of Chinese Medicine
2021-2023
Jiangsu Province Hospital
2021-2023
Air Force Medical University
2022
State Council of the People's Republic of China
2019
Huadong Hospital
2018
Fudan University
2018
First Affiliated Hospital of Guangzhou University of Chinese Medicine
2018
Christie's
2016
Publication bias is an inevitable problem in the systematic review and meta‐analysis. It also one of main threats to validity Although several statistical methods have been developed detect adjust for publication since beginning 1980s, some them are not well known being used properly both clinical literature. In this paper, we provided a critical extensive discussion on dealing with bias, including principles, implementation, software, as advantages limitations these methods. We illustrated...
Our study aimed to identify predictors as well develop machine learning (ML) models predict the risk of 30-day mortality in patients with sepsis-associated encephalopathy (SAE).ML were developed and validated based on a public database named Medical Information Mart for Intensive Care (MIMIC)-IV. Models compared by area under curve (AUC), accuracy, sensitivity, specificity, positive negative predictive values, Hosmer-Lemeshow good fit test.Of 6994 MIMIC-IV included final cohort, total 1232...
This study aims to construct and validate several machine learning (ML) algorithms predict long-term mortality identify risk factors in unselected patients post-cardiac surgery.The Medical Information Mart for Intensive Care (MIMIC-III) database was used perform a retrospective administrative study. Candidate predictors consisted of the demographics, comorbidity, vital signs, laboratory test results, scoring systems, treatment information on first day ICU admission. Four-year set as outcome....
The tendency towards publication bias is greater for observational studies than randomized clinical trials. Several statistical methods have been developed to test the bias. However, almost all existing exhibit rather low power or inappropriate type I error rates.We propose a modified regression method, which used smoothed variance estimate precision of study, in meta-analyses studies. A comprehensive simulation study carried out, and real-world example considered.The results indicate that...
Abstract Background Frailty is a common characteristic of older people with the ageing process. We aimed to develop and validate dynamic statistical prediction model calculate risk death in aged ≥65 years, using longitudinal frailty index (FI). Methods One training dataset three validation datasets from Chinese Longitudinal Healthy Longevity Survey (CLHLS) were used our study. The 1 3 included data 9,748, 7,459, 9,093 6,368 individuals, respectively. 35 health deficits construct FI based on...
Abstract Background: Hypertension is considered an important risk factor for the coronavirus disease 2019 (COVID-19). The commonly anti-hypertensive drugs are renin-angiotensin-aldosterone system (RAAS) inhibitors, calcium channel blockers (CCBs), and beta-blockers. association between used medications clinical outcome of COVID-19 patients with hypertension has not been well studied. Methods: We conducted a retrospective cohort study that included all admitted to Huo Shen Shan Hospital...
Trauma is a leading cause of death worldwide, with many incidents resulting in hemorrhage before the patient reaches hospital. Despite advances trauma care, majority deaths occur within first three hours hospital admission, offering very limited window for effective intervention. Unfortunately, significant increase mortality from hemorrhagic primarily due to delays control. Therefore, we propose machine learning model predict need urgent