PMID- 33545965 OWN - NLM STAT- MEDLINE DCOM- 20210216 LR - 20210216 IS - 1536-5964 (Electronic) IS - 0025-7974 (Print) IS - 0025-7974 (Linking) VI - 100 IP - 3 DP - 2021 Jan 22 TI - Magnifying endoscopy in detecting early gastric cancer: A network meta-analysis of prospective studies. PG - e23934 LID - 10.1097/MD.0000000000023934 [doi] LID - e23934 AB - BACKGROUND: Conventional white-light imaging endoscopy (C-WLI) had a significant number of misdiagnosis in early gastric cancer (EGC), and magnifying endoscopy (ME) combined with different optical imaging was more accurate in the diagnosis of EGC. This study aimed to evaluate the accuracy of ME and compare the accuracy of ME with different optical imaging in detecting EGC. METHODS: A comprehensive literature search was conducted to identify all relevant studies. Pair-wise meta-analysis was conducted to evaluate the accuracy of ME, and Bayesian network meta-analysis was performed to combine direct and indirect evidence and estimate the relative effects. RESULTS: Eight prospective studies were identified with a total of 5948 patients and 3 optical imaging in ME (ME with WLI (M-WLI), ME with narrow-band imaging (M-NBI), and ME with blue laser imaging (M-BLI)). Pair-wise meta-analysis showed a higher accuracy of ME than C-WLI (OR: 2.97, 95% CI: 1.68 approximately 5.25). In network meta-analysis, both M-NBI and M-BLI were more accurate than M-WLI (OR: 2.56, 95% CI: 2.13 approximately 3.13; OR: 3.13, 95% CI: 1.85 approximately 5.71). There was no significant difference between M-NBI and M-BLI. CONCLUSION: ME was effective in improving the detecting rate of EGC, especially with NBI or BLI. CI - Copyright (c) 2021 the Author(s). Published by Wolters Kluwer Health, Inc. FAU - Le, Hao AU - Le H AD - First Department of Surgery. FAU - Wang, Lianjun AU - Wang L AD - First Department of Surgery. FAU - Zhang, Lan AU - Zhang L AD - First Department of Surgery. FAU - Chen, Pengfei AU - Chen P AD - Department of Gastroenterology, The Central Hospital of Enshi Tujia And Miao Autonomous Prefecture, Enshi. FAU - Xu, Bin AU - Xu B AD - First Department of Surgery. FAU - Peng, Dengfa AU - Peng D AD - First Department of Surgery. FAU - Yang, Ming AU - Yang M AD - First Department of Surgery. FAU - Tan, Yong AU - Tan Y AD - First Department of Surgery. FAU - Cai, Changsong AU - Cai C AD - First Department of Surgery. FAU - Li, Huqing AU - Li H AD - First Department of Surgery. FAU - Zhao, Qiu AU - Zhao Q AD - Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China. LA - eng PT - Journal Article PL - United States TA - Medicine (Baltimore) JT - Medicine JID - 2985248R SB - IM MH - Early Detection of Cancer/methods MH - Endoscopy/*methods/standards/statistics & numerical data MH - Humans MH - Network Meta-Analysis MH - Odds Ratio MH - Prospective Studies MH - Stomach Neoplasms/*diagnosis/physiopathology PMC - PMC7837915 COIS- The authors have no funding and conflicts of interests to declare. EDAT- 2021/02/07 06:00 MHDA- 2021/02/17 06:00 PMCR- 2021/01/22 CRDT- 2021/02/06 01:01 PHST- 2019/07/24 00:00 [received] PHST- 2020/11/26 00:00 [accepted] PHST- 2021/02/06 01:01 [entrez] PHST- 2021/02/07 06:00 [pubmed] PHST- 2021/02/17 06:00 [medline] PHST- 2021/01/22 00:00 [pmc-release] AID - 00005792-202101220-00045 [pii] AID - MD-D-19-05847 [pii] AID - 10.1097/MD.0000000000023934 [doi] PST - ppublish SO - Medicine (Baltimore). 2021 Jan 22;100(3):e23934. doi: 10.1097/MD.0000000000023934.