Evidence map›Paper›PMID 42340649›Full record

ArticleAnatomical science international2026

Departmental analysis of robotic cadaver surgical training outcomes at Tottori university robotic surgery training and medical device innovation center.

Hiroaki Komatsu, Shuichi Morizane, Risa Matsuda, Sawako Hamasaki, Mayumi Sawada, Shinichi Sakai, Manabu Yamamoto, Shinji Tanishima, Shinya Sato, Takao Mukuda and 8 more

Abstract read
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In one paragraph

Article in Anatomical science international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

18 authors.

Hiroaki KomatsuDepartment of Obstetrics and Gynecology, Tottori University School of Medicine, 36-1 Nishicho, Yonago, 683-0826, Tottori Prefecture, Japan. komatsu.h.med@gmail.com.
Shuichi MorizaneDivision of Urology, Department of Surgery, Faculty of Medicine, Tottori University, Yonago, Japan.
Risa MatsudaTottori University Robotic Surgery Training and Medical Device Innovation Center, Yonago, Japan.
Sawako HamasakiDepartment of Anatomy, Faculty of Medicine, Tottori University, Yonago, Japan.
Mayumi SawadaDepartment of Obstetrics and Gynecology, Tottori University School of Medicine, 36-1 Nishicho, Yonago, 683-0826, Tottori Prefecture, Japan.
Shinichi SakaiTottori University Robotic Surgery Training and Medical Device Innovation Center, Yonago, Japan.
Manabu YamamotoDivision of Gastrointestinal and Pediatric Surgery, Department of Surgery, School of Medicine, Faculty of Medicine, Tottori University, Yonago, Japan.
Shinji TanishimaDivision of Orthopedic Surgery, Department of Sensory and Motor Organs, School of Medicine, Faculty of Medicine, Tottori University, Yonago, Japan.
Shinya SatoDepartment of Obstetrics and Gynecology, Tottori University School of Medicine, 36-1 Nishicho, Yonago, 683-0826, Tottori Prefecture, Japan.
Takao MukudaDepartment of Anatomy, Faculty of Medicine, Tottori University, Yonago, Japan.
Yugo TanakaDivision of General Thoracic Surgery and Breast and Endocrine Surgery, Department of Surgery, Faculty of Medicine, Tottori University, Yonago, Japan.
Yoshiyuki FujiwaraDivision of Gastrointestinal and Pediatric Surgery, Department of Surgery, School of Medicine, Faculty of Medicine, Tottori University, Yonago, Japan.
Yasushi YoshikawaDivision of Cardiovascular Surgery, Faculty of Medicine, Tottori University, Yonago, Japan.
Kazunori FujiwaraDivision of Otolaryngology, Head and Neck Surgery, Faculty of Medicine, Tottori University, Yonago, Japan.
Masamichi KurosakiDivision of Neurosurgery, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Japan.
Toshiyuki KaidohDepartment of Anatomy, Faculty of Medicine, Tottori University, Yonago, Japan.
Atsushi TakenakaDivision of Urology, Department of Surgery, Faculty of Medicine, Tottori University, Yonago, Japan.
Fuminori TaniguchiDepartment of Obstetrics and Gynecology, Tottori University School of Medicine, 36-1 Nishicho, Yonago, 683-0826, Tottori Prefecture, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cadaver surgical training (CST) plays an essential role in surgical education and innovation by enabling hands-on practice under realistic anatomical conditions without compromising patient safety. In Japan, CST has expanded rapidly following the establishment of ethical and legal frameworks, and has contributed not only to technical training but also to anatomical discovery and surgical procedure development. However, interdepartmental perceptions of multidisciplinary robotic CST remain poorly characterized. We conducted a descriptive analysis of post-course questionnaires completed by participants in robotic CST programs held at the Tottori University Robotic Surgery Training and Medical Device Innovation Center (ToRSC) between September 2024 and September 2025. Participants were classified by specialty, and outcomes included training goal achievement, facility satisfaction, and cost evaluation. Results were summarized descriptively by department. A total of 85 participants from multiple surgical specialties were included. Most respondents reported moderate to high achievement of training goals, with responses concentrated in the 80-100% and 50-80% achievement categories. Satisfaction with equipment and supplies/consumables was generally high across specialties, although some variation was observed among smaller departments. The majority of participants considered the participation fee appropriate. Multidisciplinary robotic CST conducted at ToRSC was associated with high perceived training goal achievement, high facility satisfaction, and broad acceptance of course costs across surgical specialties. These findings support the feasibility and educational value of robotic CST as a shared institutional platform for surgical education and innovation, while highlighting the importance of maintaining an ethical commitment to body donors and translating donor-based learning into improved patient care and societal benefit.

Indexed as

Cadaver surgical trainingMedical device innovationMultidisciplinary educationRobotic surgerySurgical anatomy

Identifiers

PMID42340649

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.