Evidence map›Paper›PMID 35070403›Full record

ArticleJournal of gastrointestinal oncology2021

Open distal gastrectomy versus laparoscopic distal gastrectomy for early gastric cancer: a retrospective study.

Feng Wang, Shengbo Zhang, Wei Zhao, Deyou Wang, Sifeng Tang, Qiwen Zhang

Abstract read
In one paragraph

Article in Journal of gastrointestinal oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

6 authors.

Feng WangDepartment of Gastrointestinal Surgery, The People's Hospital of Jinan City, Jinan, China.
Shengbo ZhangDepartment of Gastrointestinal Surgery, The People's Hospital of Jinan City, Jinan, China.
Wei ZhaoDepartment of Gastrointestinal Surgery, The People's Hospital of Jinan City, Jinan, China.
Deyou WangDepartment of Gastrointestinal Surgery, The People's Hospital of Jinan City, Jinan, China.
Sifeng TangDepartment of Gastrointestinal Surgery, The People's Hospital of Jinan City, Jinan, China.
Qiwen ZhangDepartment of Gastrointestinal Surgery, The People's Hospital of Jinan City, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLaparoscopic distal gastrectomy (LDG) is gaining popularity because its early postoperative effect has been shown to be better than open distal gastrectomy (ODG). However, to our knowledge, there are no studies demonstrating ODG is oncologically equivalent to LDG.

methodsThis is a retrospective study based on the prospectively maintained database of the People's Hospital of Jinan City. Patients with operable, pathologically confirmed early-stage gastric cancer were included, while those with advanced disease or carcinoma

resultsA total of 126 patients were finally enrolled and included 61 in the ODG group and 65 in the LDG group. Baseline clinical and pathological characteristics were generally balanced between the two groups. After a median follow-up of 8.31 years, the 5-year overall survival rate was estimated to be 82.8% (95% CI: 69.4-90.7%) for the ODG group and 86.7% (95% CI: 73.9-93.5%) for the LDG group and the recurrence patterns were similar between the two groups.

conclusionsOur data showed that the surgical results of both approaches are satisfactory, and LDG offers a reasonable option to ODG in patients with early gastric cancer.

Indexed as

Laparoscopic distal gastrectomy (LDG)open distal gastrectomy (ODG)retrospectivesurvival analysis

Identifiers

PMID35070403
PMCPMC8748056

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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.