Blinding is an effective measure to control and reduce the bias caused by the subjective factors of participants in a study. However, the failure of blinding results in more bias. Therefore, it is necessary to assess blinding quality in clinical trials involving blinding. The relevant international articles and methods of blinding assessment were summarized in this study. According to the present situation of blinding assessment, researchers don't pay enough attention to the assessment of blinding quality, relevant studies lack, comprehensive methods and tools for blinding quality, and researchers have discrepancy with time points in blinding quality. Therefore, it is necessary to conduct further studies in all aspects, and it is suggested that comprehensive blinding quality scales should be developed according to the key influencing factors of the implementation of blinding. Through the assessment of the implementation of key factors, the risk and degree of blinding should be confirmed in order to better interpret and assess researcher results.
ObjectiveTo compare the risk factors of angina pectoris and atherosclerotic thrombotic cerebral infarction, and to study the possible risk factors of angina pectoris complicated with atherosclerotic thrombotic cerebral infarction (XNHB abbr. in Chinese) and provide the basis for the prevention of XNHB. MethodsClinical epidemiological cross-sectional survey methods were used. Information of angina pectoris patients, atherosclerotic thrombotic cerebral infarction patients and XNHB patients were collected. The statistical software SPSS 17.0 was used to analyze the single risk factors, and then logistic regression analysis was used to filter the independent risk factors of XNHB. Results1 002 cases of angina pectoris, 963 cases of atherosclerotic thormbotic cerebral infaction and 982 cases of XNHB were included. There were significant differences among the three diseases in the following index:age (P=0.000 0), gender (P < 0.000 1), resting lifestyle (P=0.000 0), body mass index (BMI) (P=0.000 0), diabetes (P=0.001 9), hypertension (P < 0.000 1), diabetes complicated with hypertension (P < 0.000 1), smoking (P < 0.000 1), alcohol consumption (P < 0.000 1), and the combination of more than 3 risk factors (P=0.000 0). Age (OR=1.690, 95%CI 1.420 to 2.012), hypertension (OR=1.558, 95%CI 1.312 to 1.850), abnormal BMI (OR=1.356, 95%CI 1.158 to 1.587) and resting lifestyle (OR=1.319, 95%CI 1.107 to 1.572) were shown as the independent risk factors of XNHB filtering by logistic multiple regression analysis. ConclusionThe elderly with hypertension, abnormal BMI or live a resting way of life are more likely to have XNHB, so positive control of risk factors should be needed.