Diagnostic test Meta analysis method based on power of test

Abstract

The invention discloses a diagnostic test Meta analysis method based on power of test. The method is characterized in that the power of test serves as a main clue which is throughout systematic review evaluation with diagnostic test Meta analysis serving as the main body, and integration of the power of test, quality evaluation, total effect size merging, sensitivity analysis and Meta analysis aftereffect evaluation is achieved, wherein the quality evaluation, the total effect size merging, the sensitivity analysis and the Meta analysis aftereffect evaluation are introduced into traditional Meta analysis for study. According to the method, the conversion of the quality evaluation introduced for study from quality to quantity is achieved, and the shortage caused by effect size weighing and merging based on sample size is made up for. Accordingly, the power of test is expanded and extended in the field of evidence-based medicine, and meanwhile the method is beneficial to more science standardization, more accuracy materialization and more totalization of the diagnostic test Meta analysis.

Description

technical field [0001] The invention relates to the field of evidence-based medicine, in particular to a method for Meta analysis of a diagnostic test based on test efficiency. Background technique [0002] Diagnostic tests refer to the detection methods that use experiments, instruments and equipment to check patients to diagnose diseases, mainly including various laboratory tests (biochemistry, immunology, microbiology, parasitology and pathology, etc.), imaging (ultrasound, CT, X-ray and MRI, etc.), instrumental examination (electrocardiogram, electroencephalogram, radionuclide scan and endoscopy, etc.), as well as medical history inquiry, physical examination, etc. Patients without disease should be distinguished so that corresponding clinical interventions can be given to confirmed patients. However, due to the limited health resources, coupled with clinical limitations often due to disease types, patient compliance, and ethics, it is impossible to implement many diagn...

AI Technical Summary

Problems solved by technology

[0003] However, in the current process of meta-analysis and systematic review of diagnostic trials, the evaluation of the quality of the included studies is mainly based on the qualitative evaluation of the included studies by the researchers with the help of established practices at home and abroad. It often causes evaluation bias, and it is difficult to reach a consensus among researchers due to the lack of quantitative indicators in quality assessment, which greatly reduces the statistical power of Meta-analysis

When the existing meta-analysis combines the total effect size, it often takes the sample size of the included studies or the standard deviation derived from the sample size as the weighting object, although the weighted sample size can make the large-sample research obtain a larger effect to a certain extent. weight, but ignore the weight of research quality, resulting in weight bias, thus affecting the scientificity and reliability of meta-analysis of diagnostic tests

In recent years, the number of meta-analyses has been increasing year by year, but because there is no quantitative standard for the quality evaluation of meta-analysis itself, the quality of meta-analysis is uneven, resulting in a great waste of evidence-based medical resources and reducing the strength of meta-analysis and credibility seriously restrict the development of evidence-based medicine

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