Evidence map›Paper›PMID 28616612›Full record

ReviewTranslational gastroenterology and hepatology2017

Robotic gastrectomy for gastric cancer.

Masanori Tokunaga, Akio Kaito, Shizuki Sugita, Masahiro Watanabe, Hideki Sunagawa, Takahiro Kinoshita

Open access · hybridAbstract readReview
In one paragraph

Review in Translational gastroenterology and hepatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
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

7 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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 at 1 institution in 1 country.

Masanori TokunagaGastric Cancer Division, National Cancer Center Hospital East, Kashiwa, Japan.
Akio KaitoGastric Cancer Division, National Cancer Center Hospital East, Kashiwa, Japan.
Shizuki SugitaGastric Cancer Division, National Cancer Center Hospital East, Kashiwa, Japan.
Masahiro WatanabeGastric Cancer Division, National Cancer Center Hospital East, Kashiwa, Japan.
Hideki SunagawaGastric Cancer Division, National Cancer Center Hospital East, Kashiwa, Japan.
Takahiro KinoshitaGastric Cancer Division, National Cancer Center Hospital East, Kashiwa, Japan.
National Cancer Center Hospital East · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of robotic gastrectomy (RG) performed per year has been increasing, particularly in East Asia where the incidence of gastric cancer is high and approximately half of the cases are diagnosed as early gastric cancer. With articulated devices of RG, surgeons are able to perform every procedure more meticulously, which can result in less bleeding and damage to organs. There are many single arm and comparative studies, and these study showed similar trends, which included relatively less estimated blood loss and longer operation time following RG than laparoscopic gastrectomy (LG), equivalent number of harvested lymph nodes and similar length of postoperative hospital stay between RG and LG. Considering the results of these retrospective comparative studies, RG seems to be as feasible as LG in terms of early surgical outcomes. However, medical expense of RG is approximately twice as much as that of LG. Lack of solid evidence in terms of long-term outcomes is another problem. Considering the higher medical expenses associated with RG, its superiority in terms of long-term survival outcomes needs to be confirmed in the future for it to be accepted more widely.

Indexed as

daVincilaparoscopic surgeryminimal invasive surgerystomach cancer

Identifiers

PMID28616612
PMCPMC5460092
OpenAlexW2620898167

What OpenQuestion holds

Textmetadata
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.