Evidence map›Paper›PMID 39790959›Full record

ArticleAnnals of thoracic surgery short reports2023

How to Perform and Prepare for Robotic Sleeve Lobectomy.

Kohei Hashimoto, Junji Ichinose, Yosuke Matsuura, Masayuki Nakao, Sakae Okumura, Mingyon Mun

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kohei HashimotoDepartment of Thoracic Surgical Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Junji IchinoseDepartment of Thoracic Surgical Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Yosuke MatsuuraDepartment of Thoracic Surgical Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Masayuki NakaoDepartment of Thoracic Surgical Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Sakae OkumuraDepartment of Thoracic Surgical Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Mingyon MunDepartment of Thoracic Surgical Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compared with video-assisted thoracic surgery, robotic surgery may be particularly useful for reconstructive procedures such as sleeve lobectomy. However, specific training for robot-specific tricks and pitfalls is warranted. Using running suture with a short double-armed suture, we have demonstrated the feasibility of simulating robotic sleeve resection with a previously developed 3-dimensional operable airway model. This training can be done in any institution with robots with flexible timing for the busy thoracic surgeon. The durability and synthetic nature of this model allow repeated training. This can help surgeons to be well prepared for robotic sleeve lobectomy.

Identifiers

PMID39790959
PMCPMC11708481

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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.