Evidence map›Paper›PMID 34239171›Full record

ArticleNagoya journal of medical science2021

<Editors' Choice> Learning curve of robotic lobectomy for lung malignancies by certified thoracic surgeons.

Takayuki Fukui, Koji Kawaguchi, Hideki Tsubouchi, Harushi Ueno, Tomoshi Sugiyama, Shunsuke Mori, Masaki Goto, Naoki Ozeki, Shuhei Hakiri, Shota Nakamura and 1 more

Open access · greenAbstract read
In one paragraph

Article in Nagoya journal of medical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

13 citing papers in PubMed, 8 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Takayuki FukuiDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Koji KawaguchiDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Hideki TsubouchiDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Harushi UenoDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Tomoshi SugiyamaDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Shunsuke MoriDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Masaki GotoDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Naoki OzekiDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Shuhei HakiriDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Shota NakamuraDepartment 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.
Nagoya University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Video-assisted thoracic surgery (VATS) has become widespread in the last 20 years, followed by robot-assisted thoracic surgery (RATS). Few studies compared the learning curve between RATS lobectomy and conventional VATS. This study included 79 RATS lobectomy cases performed in our hospital from November 2015 to October 2019. To estimate the required number for learning, the cumulative sum method, which is to plot a value obtained by sequentially accumulating a difference from a mean value was applied. As a result, the median total operative time and the median console time for all cases were 167 minutes and 138 minutes, respectively. Firstly, for our team, 28 cases were estimated to be required for learning curve for RATS lobectomy. For individual, each surgeon might be learned in only 5 to 6 cases. By contrast, the number of cases for learning VATS lobectomy which was underwent by a 'single' surgeon from 2009 was estimated to be 35 cases. The time to dock from start operation (median 14 minutes) reached plateau in 18 cases, but the time after rollout was median of 18 minutes and there was no significant change from the beginning. In conclusion, RATS lobectomy might be a technique that could be learned in a small number of cases compared to VATS. The results of this study might be helpful for certified surgeons who tried to get started with RATS and for establishing a learning program.

Indexed as

Lung NeoplasmsRobotic Surgical ProceduresSurgeonsHumansLearning CurvePneumonectomyRetrospective StudiesCUSUMlearning curverobotic lobectomyVATS

Identifiers

PMID34239171
PMCPMC8236695
OpenAlexW3181070575

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.