Evidence map›Paper›PMID 35711204›Full record

ArticleJTCVS techniques2022

Interlobar division using vessel-sealing system in robot-assisted pulmonary lobectomy.

Masahiro Miyajima, Yuma Shindo, Kodai Tsuruta, Yasuyuki Nakamura, Yoshiaki Takase, Miho Aoyagi, Atsushi Watanabe

Open access · goldAbstract read
In one paragraph

Article in JTCVS techniques, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 6 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

7 authors at 1 institution in 1 country.

Masahiro MiyajimaDepartment of Thoracic Surgery, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, Japan.
Yuma ShindoDepartment of Thoracic Surgery, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, Japan.
Kodai TsurutaDepartment of Thoracic Surgery, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, Japan.
Yasuyuki NakamuraDepartment of Thoracic Surgery, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, Japan.
Yoshiaki TakaseDepartment of Thoracic Surgery, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, Japan.
Miho AoyagiDepartment of Thoracic Surgery, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, Japan.
Atsushi WatanabeDepartment of Thoracic Surgery, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, Japan.
Sapporo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We investigated the safety of a novel interlobar fissure division technique using the da Vinci vessel sealing system in robot-assisted pulmonary lobectomy. Methods: The medical records of patients who underwent robotic pulmonary lobectomy with node dissection for primary lung cancer between 2018 and 2020 were reviewed. The inclusion criteria were fulfilled by 111 patients, whose perioperative factors and postoperative results were compared with those previously reported. Furthermore, the new robotic lung interlobar division technique using the da Vinci vessel sealing system without a robotic stapler was evaluated in patients with low-grade incomplete fissure. We considered the Craig and Walker classification of lung fissures grades 1 and 2 as a good adaptation for the vessel sealing system interlobar fissure division. Results: The vessel sealing system group had shorter mean operative and console times ( Conclusions: We report the safety of using the da Vinci vessel sealing system as an alternative to the use of robotic staples for interlobar fissure division in robot-assisted pulmonary lobectomy. This technique seems easy and feasible though limited to the low-grade incomplete fissure.

Indexed as

CT, computed tomographyfissure divisionfused fissureLN, lymph nodelung cancerlung resectionRATSRATS, robot-assisted thoracic surgeryVATS, video-assisted thoracic surgeryVSS, vessel sealing systems

Identifiers

PMID35711204
PMCPMC9196317
OpenAlexW4213329653

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.