2.3. Data extraction and quality assessment
This protocol is extracted from research article:
Banxia Xiexin Decoction in the treatment of Hp-associated peptic ulcer
Medicine (Baltimore), Jan 15, 2021; DOI: 10.1097/MD.0000000000024105

Two authors will independently select the trials according to the inclusion criteria, and import into Endnote X9. Then remove duplicated or ineligible studies. Screen the titles, abstracts, and full texts of all literature to identify eligible studies. All essential data will be extracted using previously created data collection sheet by 2 independent authors. Discrepancies in data collection between 2 authors will be settled down through discussion with the help of another author. The following data will be extracted from each included research: the first author's surname, publication year, language of publication, sample size, sex, average age, course of disease, dosage, traditional Chinese medicine syndrome score, quality of life score, gastrin level, incidence of adverse reactions and recurrence rate. The Grading of Recommendations Assessment, Development, and Evaluation will be used to assess the quality of evidence. It contains 5 domains (bias risk, consistency, directness, precision, and publication bias). And the quality of evidence will be rated as high, moderate, low, and very low. Any disagreements between 2 investigators will be solved through discussion or consultation by a 3rd investigator.

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