Evidence map›Paper›PMID 32642100›Full record

ArticleJournal of thoracic disease2020

Initial experience with uniportal video-assisted thoracoscopic surgery for the treatment of lung cancer performed by a surgeon who did not have previous experience performing multiportal thoracoscopic surgery: a single center retrospective study.

Youngkyu Moon

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. Article
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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

1 author at 1 institution in 1 country.

Youngkyu MoonDepartment of Thoracic & Cardiovascular Surgery, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Catholic University of Korea · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to evaluate the surgical outcome of uniportal video-assisted thoracoscopic surgery (VATS) for the treatment of non-small cell lung cancer performed by a surgeon who did not have previous experience performing open thoracotomy and multiportal VATS.

methodsFrom January 2017 to December 2018, 85 patients underwent uniportal VATS anatomical pulmonary resection performed by one surgeon. The remaining 269 patients underwent multiportal VATS performed by other experienced surgeons. Clinicopathological characteristics and surgical outcomes of the uniportal VATS and multiportal VATS groups were compared.

resultsThe uniportal VATS procedures included 7 segmentectomies, 66 lobectomies, 1 bilobectomy, and 1 pneumonectomy. There was no conversion to multiportal VATS or open thoracotomy. Patients who underwent multiportal VATS surgery were older, more often men, and more often smokers than those who underwent uniportal VATS. Other clinicopathological characteristics were not statistically different between the two groups. The number of dissected lymph nodes was higher in uniportal VATS than in multiportal VATS (16.8

conclusionsUniportal VATS for pulmonary anatomical resection of non-small cell lung cancer performed by a surgeon without previous multiportal VATS experience yielded acceptable surgical outcomes.

Indexed as

lung cancersurgical outcomeUniportal video-assisted thoracoscopic surgery (uniportal VATS)

Identifiers

PMID32642100
PMCPMC7330296
OpenAlexW3025420067

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.