Evidence map›Paper›PMID 27647187›Full record

ArticleChinese medical journal2016

"Fast-track" and "Minimally Invasive" Surgery for Gastric Cancer.

Xin-Xin Liu, Hua-Feng Pan, Zhi-Wei Jiang, Shu Zhang, Zhi-Ming Wang, Ping Chen, Yan Zhao, Gang Wang, Kun Zhao, Jie-Shou Li

Abstract read
In one paragraph

Article in Chinese medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

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

10 authors.

Xin-Xin LiuDepartment of General Surgery, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, Jiangsu 210002; Department of Gastrointestinal Surgery, Northern Jiangsu People's Hospital, Clinical Medical School, Yangzhou University, Yangzhou, Jiangsu 225001, China.
Hua-Feng PanDepartment of General Surgery, The First People's Hospital of Yangzhou, Clinical Medical School, Yangzhou University, Yangzhou, Jiangsu 225001, China.
Zhi-Wei JiangDepartment of General Surgery, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, Jiangsu 210002, China.
Shu ZhangDepartment of General Surgery, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, Jiangsu 210002, China.
Zhi-Ming WangDepartment of General Surgery, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, Jiangsu 210002, China.
Ping ChenDepartment of Gastrointestinal Surgery, Northern Jiangsu People's Hospital, Clinical Medical School, Yangzhou University, Yangzhou, Jiangsu 225001, China.
Yan ZhaoDepartment of Gastrointestinal Surgery, Northern Jiangsu People's Hospital, Clinical Medical School, Yangzhou University, Yangzhou, Jiangsu 225001, China.
Gang WangDepartment of General Surgery, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, Jiangsu 210002, China.
Kun ZhaoDepartment of General Surgery, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, Jiangsu 210002, China.
Jie-Shou LiDepartment of General Surgery, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, Jiangsu 210002, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnhanced recovery after surgery (ERAS) protocols or fast-track (FT) programs enable a shorter hospital stay and lower complication rate. Minimally invasive surgery (MIS) is associated with a lesser trauma and a quicker recovery in many elective abdominal surgeries. However, little is known of the safety and effectiveness made by ERAS protocols combined with MIS for gastric cancer. The purpose of this study was to evaluate the safety and effectiveness made by FT programs and MIS in combination or alone.

methodsWe summarized an 11-year experience on gastric cancer patients undergoing elective laparotomy or minimally invasive gastric resection in standard cares (SC) or FT programs during January 2004 to December 2014. A total of 984 patients were enrolled and assigned into four groups: open gastrectomies (OG) with SC (OG + SC group, n = 167); OG with FT programs (OG + FT group, n = 277); laparoscopic gastrectomies (LG) with FT programs (LG + FT group, n = 248); and robot-assisted gastrectomies (RG) with FT programs (RG + FT group, n = 292). Patients' data were collected to evaluate the clinical outcome. The primary end point was the length of postoperative hospital stay.

resultsThe OG + SC group showed the longest postoperative hospital stay (mean: 12.3 days, median: 11 days, interquartile range [IQR]: 6-16 days), while OG + FT, LG + FT, and RG + FT groups recovered faster (mean: 7.4, 6.4, and 6.6 days, median: 6, 6, and 6 days, IQR: 3-9, 4-8, and 3-9 days, respectively, all P< 0.001). The postoperative rehabilitation parameters such as flatus time after surgery (4.7 ± 0.9, 3.1 ± 0.8, 3.0 ± 0.9, and 3.1 ± 0.9 days) followed the same manner. After 30 postoperative days' follow-up, the total incidence of complications was 9.6% in OG + SC group, 10.1% in OG + FT group, 8.1% in LG + FT group, and 10.3% in RG + FT group. The complications showed no significant differences between the four groups (all P > 0.05).

conclusionsERAS protocols alone could significantly bring fast recovery after surgery regardless of the surgical technique. MIS further reduces postoperative hospital stay. It is safe and effective to apply ERAS protocols combined with MIS for gastric cancer.

Indexed as

AdultAgedElective Surgical ProceduresFemaleGastrectomyHumansLaparoscopyLength of StayMaleMiddle AgedMinimally Invasive Surgical ProceduresPostoperative CarePostoperative ComplicationsRetrospective StudiesStomach NeoplasmsTreatment Outcome

Identifiers

PMID27647187
PMCPMC5040014

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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.