3.6. Assessment of inconsistency
This protocol is extracted from research article:
Different moxibustion therapies for urinary retention after anorectal surgery
Medicine (Baltimore), Jan 15, 2021; DOI: 10.1097/MD.0000000000024132

There are many interventions involved in this study. In the evidence network of each outcome index, the closed loop formed by the research with direct evidence and indirect evidence needs to be assessmented of inconsistency by Stata software. The closed loop formed by the research with direct evidence and indirect evidence needs to be tested for inconsistency. Judge whether there is a local inconsistency, if there is no obvious inconsistency, the consistency model is adopted, otherwise, the inconsistency model is adopted. For the results obtained from the consistency model analysis, the stability of the results can be checked through the inconsistency model. Make evidence network diagrams, correction-comparison funnel diagrams and ranking diagrams in Stata software. The larger the value of surface under the cumulative ranking curves (SUCRA) and the area under the SUCRA curve, the greater the possibility that the intervention will become the best intervention the bigger.[20]

Note: The content above has been extracted from a research article, so it may not display correctly.



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