Evidence map›Paper›PMID 30353490›Full record

ArticleJournal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract2019

Clockwise, Modularized Lymphadenectomy in Laparoscopic Gastric Cancer Surgery: a New Laparoscopic Surgery Model.

Wei-Han Zhang, Kun Yang, Xin-Zu Chen, Ying Zhao, Kai Liu, Wei-Wei Wu, Zhi-Xin Chen, Zong-Guang Zhou, Jian-Kun Hu

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Wei-Han ZhangDepartment of Gastrointestinal Surgery and Laboratory of Gastric Cancer, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, No. 37 Guo Xue Xiang Street, Chengdu, Sichuan Province, China.
Kun YangDepartment of Gastrointestinal Surgery and Laboratory of Gastric Cancer, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, No. 37 Guo Xue Xiang Street, Chengdu, Sichuan Province, China.
Xin-Zu ChenDepartment of Gastrointestinal Surgery and Laboratory of Gastric Cancer, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, No. 37 Guo Xue Xiang Street, Chengdu, Sichuan Province, China.
Ying ZhaoDepartment of Gastrointestinal Surgery and Laboratory of Gastric Cancer, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, No. 37 Guo Xue Xiang Street, Chengdu, Sichuan Province, China.
Kai LiuDepartment of Gastrointestinal Surgery and Laboratory of Gastric Cancer, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, No. 37 Guo Xue Xiang Street, Chengdu, Sichuan Province, China.
Wei-Wei WuDepartment of Anesthesiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Zhi-Xin ChenDepartment of Gastrointestinal Surgery and Laboratory of Gastric Cancer, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, No. 37 Guo Xue Xiang Street, Chengdu, Sichuan Province, China.
Zong-Guang ZhouDepartment of Gastrointestinal Surgery and Laboratory of Digestive Surgery, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, Sichuan Province, China.
Jian-Kun HuDepartment of Gastrointestinal Surgery and Laboratory of Gastric Cancer, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, No. 37 Guo Xue Xiang Street, Chengdu, Sichuan Province, China. hujkwch@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the study is to present the clockwise, modularized lymphadenectomy model of laparoscopic gastrectomy for gastric cancer patients, which is based on our clinical practice experience in laparoscopic gastric cancer surgery.

methodsFrom Jan 2015 to July 2017, 116 patients who underwent laparoscopic gastrectomy were retrospectively collected and analyzed. According to the different resection models, patients were divided into two groups: traditional laparoscopic lymphadenectomy group (63 patients) and clockwise, modularized lymphadenectomy group (53 patients). Operation-related parameters were compared between the two groups.

resultsThe clockwise, modularized lymphadenectomy group had less dissection time (119.8 ± 19.1 min vs. 135.3 ± 23.8 min, p < 0.001) and less intraoperative blood loss (81.7 ± 42.9 ml vs. 91.4 ± 28.7 ml, p = 0.016) compared with the traditional laparoscopic lymphadenectomy group. Meanwhile, the clockwise, modularized lymphadenectomy group had more numbers of examined lymph nodes (40.5 ± 14.3 vs. 33.9 ± 11.0, p = 0.007) than the traditional laparoscopic lymphadenectomy group. Besides, there was no statistically significant difference in the postoperative complication rates between the two groups. The clockwise, modularized lymphadenectomy group had shorter postoperative hospital stay than the traditional laparoscopic lymphadenectomy group (8.7 ± 3.2 days vs. 10.4 ± 3.9 days, respectively, p < 0.001).

conclusionsThrough the adoption of the fixed sequence of lymphadenectomy, requirements and standard of lymphadenectomy of each lymph node station, and specific surgical skills for intraoperative exposure by the clockwise and modularized lymphadenectomy model, we can optimize and facilitate the laparoscopic gastric cancer surgery.

Indexed as

AdultAgedFemaleGastrectomyHumansLaparoscopyLymph Node ExcisionMaleMiddle AgedRetrospective StudiesStomach NeoplasmsTreatment OutcomeGastric cancerLaparoscopyLymphadenectomySurgery

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.