Evidence map›Paper›PMID 37079768›Full record

ArticleInterdisciplinary cardiovascular and thoracic surgery2023

Clinical application of resection process map as a novel surgical guide in thoracic surgery.

Yuka Kadomatsu, Megumi Nakao, Harushi Ueno, Shota Nakamura, Koichi Fukumoto, Toyofumi Fengshi Chen-Yoshikawa

Abstract read
In one paragraph

Article in Interdisciplinary cardiovascular and thoracic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

6 authors.

Yuka KadomatsuDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID 0000-0002-3045-9475
Megumi NakaoDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Harushi UenoDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Shota NakamuraDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID 0000-0002-1865-0867
Koichi FukumotoDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Toyofumi Fengshi Chen-YoshikawaDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.

Funding

Japan Agency for Medical Research and Development 20vk0124004h0001
6 · The paper itself

Abstract

Resection Process Map (RPM) is a surgical simulation system that uses preoperative three-dimensional computed tomography. Unlike the usual static simulation, this system provides surgeons an individualized dynamic deformation of the lung parenchyma and vessels. RPM was first introduced in 2020. Although the intraoperative usefulness of this system has been evaluated experimentally, there have been no reports on its clinical use. Herein, we presented in detail the first experience on RPM during robot-assisted anatomical lung resection in the real clinical setting.

Indexed as

Anatomical lung resectionAnatomical variationRobot-assisted thoracic surgerySurgical simulationThree-dimensional reconstruction

Identifiers

PMID37079768
PMCPMC10265448

What OpenQuestion holds

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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.