Evidence map›Paper›PMID 29078570›Full record

ReviewJournal of visualized surgery2017

Robotic technological aids in esophageal surgery.

Fabrizio Rebecchi, Marco E Allaix, Mario Morino

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of visualized surgery, 2017. 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
1.2field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Giant left diaphragmatic hernia.Oxford medical case reports · 2021
    Article
  4. Robotics and minimally invasive esophageal surgery.Annals of translational medicine · 2021
    Review
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

3 authors at 1 institution in 1 country.

Fabrizio RebecchiDepartment of Surgical Sciences, University of Torino, Corso A. M. Dogliotti, Torino, Italy.
Marco E AllaixDepartment of Surgical Sciences, University of Torino, Corso A. M. Dogliotti, Torino, Italy.
Mario MorinoDepartment of Surgical Sciences, University of Torino, Corso A. M. Dogliotti, Torino, Italy.
University of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic technology is an emerging technology that has been developed in order to overcome some limitations of the standard laparoscopic approach, offering a stereoscopic three-dimensional visualization of the surgical field, increased maneuverability of the surgical tools with consequent increased movement accuracy and precision and improved ergonomics. It has been used for the surgical treatment of most benign esophageal disorders. More recently, it has been proposed also for patients with operable esophageal cancer. The current evidence shows that there are no real benefits of the robotic technology over conventional laparoscopy in patients undergoing a fundoplication for gastroesophageal reflux disease (GERD), hiatal closure for giant hiatal hernia, or Heller myotomy for achalasia. A few small studies suggest potential advantages in patients undergoing redo surgery for failed fundoplication or Heller myotomy, but large comparative studies are needed to better clarify the role of the robotic technology in these patients. Robot-assisted esophagectomy seems to be safe and effective in selected patients; however, there are no data showing superiority of this approach over both conventional laparoscopic and open surgery. The short-term and long-term oncologic results of ongoing randomized controlled trials (RCTs) are awaited to validate this approach for the treatment of esophageal cancer.

Indexed as

esophagectomyfundoplicationmyotomyRobotic

Identifiers

PMID29078570
PMCPMC5637986
OpenAlexW2586947857

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.