相关实验视频

Updated: Jul 16, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.5K

干扰素α对COVID-19住院死亡率的影响:一项大规模的倾向性得分匹配研究

Mohamad Amin Pourhoseingholi1, Amirreza Rafiei Javazm1, Naghmeh Asadimanesh2

  • 1Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

European cytokine network
|September 19, 2023
PubMed
概括

干扰素α (IFN-α) 治疗,单独或与雷梅西维尔一起,对住院患者的COVID-19死亡率或ICU入院没有显著影响. 需要进一步的研究来探索IFN-α在COVID-19中的潜在治疗作用.

关键词:
在 COVID-19 疫情中,在ICU中,医生会对患者进行治疗.干扰子干扰子干扰子死亡率 死亡率雷梅西维尔 (remdesivir) 是一种药物.

更多相关视频

Propagation of Homalodisca coagulata virus-01 via Homalodisca vitripennis Cell Culture12:52

Propagation of Homalodisca coagulata virus-01 via Homalodisca vitripennis Cell Culture

Published on: September 25, 2014

11.8K
Development and Validation of an Ultrasensitive Single Molecule Array Digital Enzyme-linked Immunosorbent Assay for Human Interferon-α08:26

Development and Validation of an Ultrasensitive Single Molecule Array Digital Enzyme-linked Immunosorbent Assay for Human Interferon-α

Published on: June 14, 2018

12.1K

相关概念视频

Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
11.9K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
343
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
188
Controls in Experiments01:13

Controls in Experiments

When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...
7.8K