Evidence map›Paper›PMID 37041583›Full record

ArticleJournal of cardiothoracic surgery2023

Fissureless technique of robotic left lingular segmentectomy for primary lung cancer with incomplete fissure: a case report.

Masahiro Yanagiya, Masaaki Nagano, Jun Nakajima

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of cardiothoracic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
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

3 authors at 1 institution in 1 country.

Masahiro YanagiyaDepartment of Thoracic Surgery, The University of Tokyo Graduate School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan. myanagiya@mvb.biglobe.ne.jp.
Masaaki NaganoDepartment of Thoracic Surgery, The University of Tokyo Graduate School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Jun NakajimaDepartment of Thoracic Surgery, The University of Tokyo Graduate School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
The University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary segmentectomy for a lung with an incomplete interlobar fissure may complicate persistent air leakage. The fissureless technique is often used in lobectomy to prevent persistent air leakage. We herein describe successful use of the fissureless technique for segmentectomy with the aid of a robotic surgical system. CASE PRESENTATION: A 63-year-old man was clinically diagnosed with early-stage lung cancer for which lingular segmentectomy was indicated. A preoperative image revealed a lung with an incomplete fissure. Based on three-dimensional reconstruction imaging, we planned to divide the hilum structures in the order of the pulmonary vein, bronchus, and pulmonary artery and finally resect the lung parenchyma by dividing the intersegmental plane and interlobar fissure. This fissureless technique was successfully conducted using a robotic surgical system. The patient did not develop persistent air leakage and was alive without recurrence 1 year after segmentectomy.

conclusionsThe fissureless technique may be a useful option in segmentectomy for a lung with an incomplete interlobar fissure.

Indexed as

Lung NeoplasmsRobotic Surgical ProceduresHumansLungMaleMiddle AgedPneumonectomyPulmonary ArteryLung cancerRobotic surgeryRobotic thoracic surgerySegmentectomyThoracic surgery

Identifiers

PMID37041583
PMCPMC10088251
OpenAlexW4364367820

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.