Evidence map›Paper›PMID 39790953›Full record

ArticleAnnals of thoracic surgery short reports2023

Tailored Practical Simulation Training in Robotic Surgery: A New Educational Technology.

Takashi Eguchi, Masatoshi Shimura, Shuji Mishima, Daisuke Hara, Shunnichiro Matsuoka, Hirotaka Kumeda, Kentaro Miura, Kazutoshi Hamanaka, Kimihiro Shimizu

Abstract read
In one paragraph

Article in Annals of thoracic surgery short reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Robotic Thoracic Surgery: Current Landscape and Future Directions.Interdisciplinary cardiovascular and thoracic surgery · 2026
    Review
  2. Review
  3. 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

9 authors.

Takashi EguchiDivision of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan.
Masatoshi ShimuraDivision of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan.
Shuji MishimaDivision of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan.
Daisuke HaraDivision of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan.
Shunnichiro MatsuokaDivision of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan.
Hirotaka KumedaDivision of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan.
Kentaro MiuraDivision of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan.
Kazutoshi HamanakaDivision of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan.
Kimihiro ShimizuDivision of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: We aimed to create a tailored robotic surgery training program that addresses current challenges, enhances patient outcomes, and focuses on skills, knowledge, and strategy. Description: This study assesses the strengths and weaknesses of existing robotic surgery training methods and proposes a personalized simulation training approach for specific surgical situations. The program emphasizes technical and manual skill development, a robust medical knowledge foundation, and strategic planning using the development, demonstration, discussion, and sharing (3DS) concept. Evaluation: Traditional training challenges, such as on-the-job training, animal models, and cadavers, are identified and addressed. The proposed tailored practical simulation training provides a cost-effective, realistic surgical experience, allowing surgeons to learn in a controlled environment and improving patient outcomes. Conclusions: This comprehensive training program aims to enhance surgical outcomes and patient care in the rapidly evolving field of robotic surgery. Continuous education, industry collaboration, and knowledge sharing are vital to staying current with advances and optimizing surgical techniques and practices.

Identifiers

PMID39790953
PMCPMC11708258

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Registered trials

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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.