Medicine · 2021
Effect of sigmoidectomy in treating sigmoid colon cancer: A protocol of systematic review.
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Hou Hua-Ping, Gui Pu-Guo
Аннотация
BACKGROUND: This study will assess the effect of sigmoidectomy in treating sigmoid colon cancer (SCC).
METHODS: This study will search the following databases from inception to the present: MEDLINE, EMBASE, Cochrane Library, CINAHL, PsycINFO, Scopus, OpenGrey, Chinese Biomedical Literature Database, and China National Knowledge Infrastructure. All electronic databases will be searched with no restrictions of language. Two researchers will independently handle all study selection, data extraction, and risk of bias, respectively. Any disparities between 2 researchers will be figured out by a third researcher through discussion. RevMan 5.3 software will be used for statistical analysis in this study.
RESULTS: This study will provide a high-quality synthesis of targeted outcomes to evaluate the efficacy and complications of sigmoidectomy in treating SCC.
CONCLUSION: The results of this study will provide evidence to judge whether sigmoidectomy can benefit patients with SCC.
STUDY REGISTRATION ON OSF: osf.io/dpxkg.
METHODS: This study will search the following databases from inception to the present: MEDLINE, EMBASE, Cochrane Library, CINAHL, PsycINFO, Scopus, OpenGrey, Chinese Biomedical Literature Database, and China National Knowledge Infrastructure. All electronic databases will be searched with no restrictions of language. Two researchers will independently handle all study selection, data extraction, and risk of bias, respectively. Any disparities between 2 researchers will be figured out by a third researcher through discussion. RevMan 5.3 software will be used for statistical analysis in this study.
RESULTS: This study will provide a high-quality synthesis of targeted outcomes to evaluate the efficacy and complications of sigmoidectomy in treating SCC.
CONCLUSION: The results of this study will provide evidence to judge whether sigmoidectomy can benefit patients with SCC.
STUDY REGISTRATION ON OSF: osf.io/dpxkg.