Evidence map›Paper›PMID 39456633›Full record

ReviewCancers2024

Caseload per Year in Robotic-Assisted Minimally Invasive Esophagectomy: A Narrative Review.

Ibrahim Büdeyri, Nader El-Sourani, Ann-Kathrin Eichelmann, Jennifer Merten, Mazen A Juratli, Andreas Pascher, Jens P Hoelzen

Abstract readReview
In one paragraph

Review in Cancers, 2024. 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
–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

7 citing papers in PubMed.

  1. Review
  2. Review
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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

7 authors.

Ibrahim BüdeyriDepartment of General, Visceral and Transplant Surgery, University Hospital Muenster, University of Muenster, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany.ORCID 0000-0002-4200-4566
Nader El-SouraniDepartment of General, Visceral and Transplant Surgery, University Hospital Muenster, University of Muenster, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany.ORCID 0000-0002-6146-7785
Ann-Kathrin EichelmannDepartment of General, Visceral and Transplant Surgery, University Hospital Muenster, University of Muenster, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany.ORCID 0000-0002-9037-7009
Jennifer MertenDepartment of General, Visceral and Transplant Surgery, University Hospital Muenster, University of Muenster, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany.ORCID 0000-0002-4047-3318
Mazen A JuratliDepartment of General, Visceral and Transplant Surgery, University Hospital Muenster, University of Muenster, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany.
Andreas PascherDepartment of General, Visceral and Transplant Surgery, University Hospital Muenster, University of Muenster, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany.
Jens P HoelzenDepartment of General, Visceral and Transplant Surgery, University Hospital Muenster, University of Muenster, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany.ORCID 0000-0003-1720-8943

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal surgery is deemed one of the most complex visceral operations. There is a well-documented correlation between higher caseload and better outcomes, with hospitals that perform more surgeries experiencing significantly lower mortality rates. The approach to caseload per year varies across different countries within Europe. Germany increased the minimum annual required caseload of complex esophageal surgeries from 10 to 26 starting in 2023. Furthermore, the new regulations present challenges for surgical training and staff recruitment, risking the further fragmentation of training programs. Enhanced regional cooperation is proposed as a solution to ensure comprehensive training. This review explores the benefits of robotic-assisted minimally invasive esophagectomy (RAMIE) in improving surgical precision and patient outcomes and aims to evaluate how the caseload per year influences the quality of patient care and the efficacy of surgical training, especially with the integration of advanced robotic techniques.

Indexed as

caseload per yearesophagectomyfailure to rescueRAMIEroboticssurgical training

Identifiers

PMID39456633
PMCPMC11505766

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.