Evidence map›Paper›PMID 41803916›Full record

ArticleWorld journal of surgical oncology2026

Fusion surgery in robot-assisted esophagectomy: stepwise learning curves across the da Vinci™ and hinotori™ platforms.

Yuta Sato, Yuji Hatanaka, Yoshihiro Tanaka, Seito Fujibayashi, Noriki Mitsui, Ryoma Yokoi, Takeshi Horaguchi, Keita Matsumoto, Masahiro Fukada, Itaru Yasufuku and 3 more

Abstract read
In one paragraph

Article in World journal of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

13 authors.

Yuta SatoDepartment of Gastroenterological Surgery and Pediatric Surgery, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu City, Gifu Prefecture, 501-1194, Japan.
Yuji HatanakaDepartment of Gastroenterological Surgery and Pediatric Surgery, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu City, Gifu Prefecture, 501-1194, Japan.
Yoshihiro TanakaDepartment of Gastroenterological Surgery and Pediatric Surgery, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu City, Gifu Prefecture, 501-1194, Japan.
Seito FujibayashiDepartment of Gastroenterological Surgery and Pediatric Surgery, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu City, Gifu Prefecture, 501-1194, Japan.
Noriki MitsuiDepartment of Gastroenterological Surgery and Pediatric Surgery, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu City, Gifu Prefecture, 501-1194, Japan.
Ryoma YokoiDepartment of Gastroenterological Surgery and Pediatric Surgery, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu City, Gifu Prefecture, 501-1194, Japan.
Takeshi HoraguchiDepartment of Gastroenterological Surgery and Pediatric Surgery, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu City, Gifu Prefecture, 501-1194, Japan.
Keita MatsumotoDepartment of Gastroenterological Surgery and Pediatric Surgery, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu City, Gifu Prefecture, 501-1194, Japan.
Masahiro FukadaDepartment of Gastroenterological Surgery and Pediatric Surgery, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu City, Gifu Prefecture, 501-1194, Japan.
Itaru YasufukuDepartment of Clinical Anatomy Development Studies, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu City, Gifu Prefecture, 501-1194, Japan.
Ryuichi AsaiDepartment of Gastroenterological Surgery and Pediatric Surgery, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu City, Gifu Prefecture, 501-1194, Japan.
Jesse Yu TajimaDepartment of Gastroenterological Surgery and Pediatric Surgery, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu City, Gifu Prefecture, 501-1194, Japan.
Nobuhisa MatsuhashiDepartment of Gastroenterological Surgery and Pediatric Surgery, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu City, Gifu Prefecture, 501-1194, Japan. matsuhashi.nobuhisa.k6@f.gifu-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobot-assisted minimally invasive esophagectomy (RAMIE) provides superior precision, three-dimensional visualization, and enhanced instrument dexterity compared to conventional approaches. The “Fusion Surgery” concept, which emphasizes dynamic cooperation between console and bedside surgeons, has the potential to improve operative efficiency and facilitate technical skill acquisition. This study used stepwise learning curves in RAMIE to explore the feasibility and initial experience with the da Vinci™ and hinotori™ robotic platforms.

methodsWe retrospectively analyzed 30 patients with esophageal cancer who underwent RAMIE using the Fusion Surgery approach between June 2024 and November 2025. The first 25 consecutive procedures were performed with the da Vinci system, followed by five with the hinotori system, all by the same surgical team. Thoracic lymphadenectomy was standardized into lower, middle, and upper mediastinal segments. Learning curves were assessed using cumulative sum (CUSUM) analysis of console operation time. Intraoperative blood loss and postoperative hospital stay were evaluated as secondary outcomes.

resultsThe median total console operation time was 210 min. Middle mediastinal dissection time was significantly shorter with the hinotori system than with the da Vinci system (46 vs. 76 min, p = 0.010), whereas upper and lower mediastinal dissections showed favorable trends. CUSUM analysis demonstrated progressive improvement across all mediastinal levels. Upper mediastinal console time continued to decrease after transition to the hinotori system, middle mediastinal dissection showed marked improvement following the transition, and lower mediastinal dissection exhibited a steady downward trend from the initial cases. These findings indicate cumulative learning and effective transfer of technical skills across robotic platforms.

conclusionsThe Fusion Surgery approach may support gradual improvement in RAMIE performance across all mediastinal levels. Transitioning from the da Vinci to the hinotori robotic system did not interrupt the learning curve, supporting smooth continuation of surgical proficiency on a new platform. Fusion Surgery may provide a robust and adaptable framework for sustained technical advancement in RAMIE.

Indexed as

Esophageal NeoplasmsEsophagectomyLearning CurveRobotic Surgical ProceduresAgedFemaleHumansLength of StayLymph Node ExcisionMaleMiddle AgedOperative TimeRetrospective StudiesDa Vinci™Fusion surgeryHinotori™Learning curveRobot-assisted esophagectomy

Identifiers

PMID41803916
PMCPMC13085262

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LicenceCC BY-NC-ND
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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.