Evidence map›Paper›PMID 29268530›Full record

ArticleJournal of thoracic disease2017

Uniportal video assisted thoracic surgery with 2 cm skin incision for right middle lobectomy with systematic lymphadenectomy.

Ruijun Liu, Qiang Tan, Jia Huang, Jiantao Li, Qingquan Luo

Open access · hybridAbstract read
In one paragraph

Article in Journal of thoracic disease, 2017. 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
0.6field-weighted citation impact, top 27% 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

5 authors at 2 institutions in 1 country.

Ruijun LiuShanghai Lung Tumor Clinical Medical Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200030, China.
Qiang TanShanghai Lung Tumor Clinical Medical Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200030, China.
Jia HuangShanghai Lung Tumor Clinical Medical Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200030, China.
Jiantao LiShanghai Lung Tumor Clinical Medical Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200030, China.
Qingquan LuoShanghai Lung Tumor Clinical Medical Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200030, China.
Shanghai Jiao Tong University · CNShanghai Chest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today, video-assisted thoracic surgery (VATS) was very popular and more and more common, which could be carried out at all levels of medical centers, most of which used multiple-ports VATS techniques. However, uniportal VATS was more difficult technique compared with multiple-ports VATS, and was not yet completely universal. Uniportal port VATS with 2 cm incision was more difficult surgery, and asked the surgeon to master more surgical techniques and good collaborations with each other, however, which not only could reduce the postoperative pain and skin numbness but supply cosmetology and psychological comfort for patients. To reduce unnecessary damage to patients, we minimized the incision to 2 cm. Therefore, we called it precise uniportal port VATS technique in our surgical center and introduced it here.

Indexed as

lobectomyLung cancerlymphadenectomyminimally invasiveuniportal video-assisted thoracic surgery (VATS)

Identifiers

PMID29268530
PMCPMC5721031
OpenAlexW2766922794

What OpenQuestion holds

Textmetadata
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.