Evidence map›Paper›PMID 27470056›Full record

ArticleDer Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen2017

Robot-assisted minimally invasive esophagectomy.

R van Hillegersberg, M F J Seesing, H J F Brenkman, J P Ruurda

Open access · hybridAbstract readVideo-Audio Media
In one paragraph

Article in Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 39 citations in OpenAlex.

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  3. [Robotic esophageal surgery].Chirurgie (Heidelberg, Germany) · 2023
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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

4 authors at 2 institutions in 2 countries.

R van HillegersbergDepartment of Surgical Oncology, University Medical Center Utrecht, Heidelberglaan 100, 3508 GA, Utrecht, The Netherlands. r.vanhillegersberg@umcutrecht.nl.
M F J SeesingDepartment of Surgical Oncology, University Medical Center Utrecht, Heidelberglaan 100, 3508 GA, Utrecht, The Netherlands.
H J F BrenkmanDepartment of Surgical Oncology, University Medical Center Utrecht, Heidelberglaan 100, 3508 GA, Utrecht, The Netherlands.
J P RuurdaDepartment of Surgical Oncology, University Medical Center Utrecht, Heidelberglaan 100, 3508 GA, Utrecht, The Netherlands.
Heidelberg University · DEUniversity Hospital Heidelberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophagolymphadenectomy is the cornerstone of multimodality treatment for resectable esophageal cancer. The preferred surgical approach is transthoracic, with a two-field lymph node dissection and gastric conduit reconstruction. A minimally invasive approach has been shown to reduce postoperative complications and increase quality of life. Robot-assisted minimally invasive esophagectomy (RAMIE) was developed to facilitate this complex thoracoscopic procedure. RAMIE has been shown to be safe with good oncologic results and reduced morbidity. The use of RAMIE opens new indications for curative surgery in patients with T4b tumors, high mediastinal tumors, and lymph node metastases after neoadjuvant treatment.

Indexed as

ChemoradiotherapyCombined Modality TherapyCurriculumEsophageal NeoplasmsEsophagectomyImaging, Three-DimensionalInservice TrainingLaparoscopyLearning CurveLymph Node ExcisionMinimally Invasive Surgical ProceduresNeoplasm InvasivenessNeoplasm StagingNetherlandsPositron-Emission TomographyRobotic Surgical ProceduresEsophageal cancerEsophagectomyMultimodal treatmentSurgery, robot-assistedThoracoscopy

Identifiers

PMID27470056
PMCPMC5567092
OpenAlexW2489943804

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.