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Mar 27, 2024 (publication date) through Feb 19, 2026
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Publication Name
World Journal of Gastrointestinal Surgery
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1948-9366
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| Li ZL, Ma HC, Yang Y, Chen JJ, Wang ZJ. Clinical study of enhanced recovery after surgery in laparoscopic appendectomy for acute appendicitis. World J Gastrointest Surg 2024; 16(3): 816-822 [PMID: 38577072 DOI: 10.4240/wjgs.v16.i3.816] |
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| ©2004-2026 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA | |
| For: | Li ZL, Ma HC, Yang Y, Chen JJ, Wang ZJ. Clinical study of enhanced recovery after surgery in laparoscopic appendectomy for acute appendicitis. World J Gastrointest Surg 2024; 16(3): 816-822 [PMID: 38577072 DOI: 10.4240/wjgs.v16.i3.816] |
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| URL: | https://www.wjgnet.com/1948-9366/full/v16/i3/816.htm |
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| 2 |
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Gavin David O’Connor, Róisín Taplin, Clodagh Murphy. Assessment of pre-, peri-, and post-surgical practices for elective colorectal patients in a model 4 hospital in Ireland. Irish Journal of Medical Science (1971 -) 2024; 193(5): 2461 doi: 10.1007/s11845-024-03731-4
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Salman A. Aljubouri, Emad A. Alsaedi, Meaad A. Alrehaili, Hussam K. Aloufi, Reham M. Alsubhi, Mohammed W. Aljayyar, Abdurrahman S. Seraj, Hasan M. Samman, Amal N. Alharbi, Waleed K. Kaki, Heba A. Mohammad, Nawaf H. Alharbi, Mohammed N. Almarwani. Evaluating the effectiveness of enhanced recovery after surgery protocols on outcomes in general surgery: a systematic review. International Journal Of Community Medicine And Public Health 2025; doi: 10.18203/2394-6040.ijcmph20250077
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| 6 |
Shan-Shan Chen, Yi-Ming Gao, Xiao-Fang Yao, Qi-Qi Zhang, Kai-Long Yang, Qiao Xia, Jing Ding. Effect of rapid rehabilitation surgical nursing on patients' gastrointestinal function recovery and sleep quality after laparoscopic appendectomy. World Journal of Gastrointestinal Surgery 2025; 17(4): 102681 doi: 10.4240/wjgs.v17.i4.102681
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| 7 |
Xinlong Gu, Niannian Li, Heng Wang. Optimization of diagnosis-related groups for patients with acute appendicitis using a machine learning model. Frontiers in Public Health 2025; 13 doi: 10.3389/fpubh.2025.1581441
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