Evidence map›Paper›PMID 29130643›Full record

ArticleThoracic cancer2018

Pilot study on preventing anastomotic leakage in stapled gastroesophageal anastomosis.

Shijie Zhang, Weiming Huang, Xiangzheng Liu, Jian Li

Abstract read
In one paragraph

Article in Thoracic cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Covering the gastric tube with the mediastinal pleura during minimally invasive McKeown esophagectomy can reduce the incidence of anastomotic fistulae.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2021
    Article
  3. Article
  4. Article
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

4 authors.

Shijie ZhangDepartment of Thoracic Surgery, Peking University First Hospital, Beijing, China.ORCID 0000-0001-7869-7635
Weiming HuangDepartment of Thoracic Surgery, Peking University First Hospital, Beijing, China.
Xiangzheng LiuDepartment of Thoracic Surgery, Peking University First Hospital, Beijing, China.
Jian LiDepartment of Thoracic Surgery, Peking University First Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study explored how to improve the surgical technique to reduce or avoid anastomotic leakage.

methodsFrom January 2012 to December 2016, 101 consecutive patients with cancer of the esophagus or gastroesophageal junction underwent stapled gastroesophageal anastomosis. The procedure included creating a tube-type stomach, fixing an inserted anvil, inspecting mucosa-to-mucosa alignment in the lumen under direct vision after firing the stapler, and, if found, manually repairing a rupture of the mucous membrane of the anastomosis.

resultsA rupture of the mucous membrane of the anastomosis was found in four out of the 101 patients and manually repaired. No postsurgical anastomotic leakage occurred. All patients recovered well and the average postoperative stay was 10.4 days. There was no mortality within 30 days after surgery.

conclusionIt is critical to inspect the integrality of the luminal mucous membrane of the anastomosis under direct vision in order to prevent anastomotic leakage in surgical resection of esophageal and gastroesophageal junction malignancies.

Indexed as

AdultAgedAnastomosis, SurgicalAnastomotic LeakEsophagogastric JunctionFemaleHumansMaleMiddle AgedPilot ProjectsSurgical StaplingAnastomotic leakageesophageal cancerstapled anastomosis

Identifiers

PMID29130643
PMCPMC5754289

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.