Evidence map›Paper›PMID 32328737›Full record

ArticleSurgery today2021

Modified left subsuperior segmentectomy via 2-cm uniportal video-assisted thoracoscopic surgery.

Gaoli Liu, Haifeng Hu, Ping Dong, Shaowen Zhang, Zhangfan Mao

Abstract readCase Reports
PubMed Publisher
In one paragraph

Article in Surgery today, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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.

Gaoli LiuDepartment of Thoracic Surgery, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, China.
Haifeng HuDepartment of Thoracic Surgery, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, China.
Ping DongDepartment of Thoracic Surgery, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, China.
Shaowen ZhangDepartment of Thoracic Surgery, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, China.
Zhangfan MaoDepartment of Thoracic Surgery, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, China. maozhangfan@whu.edu.cn.
Wuhan University · CNRenmin Hospital of Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Independent subsuperior segmentectomy (S*) via uniportal video-assisted thoracoscopic surgery (VATS) has rarely been reported. We describe our modified technique of performing simplified left subsuperior segmentectomy for a lung nodule, via 2-cm uniportal VATS. The uniportal approach was different from the traditional approach made by blunt separation into the thorax without electrocautery. Our modified technique minimizes damage to the intercostal nerves and muscles. We also simplified the subsuperior segmentectomy procedure according to the findings of three-dimensional (3D) computed tomography angiography and bronchography. Combining these two techniques achieves a new more minimally invasive method for subsuperior segmentectomy.

Indexed as

AgedBronchographyComputed Tomography AngiographyFemaleHumansIatrogenic DiseaseImaging, Three-DimensionalIntercostal NervesIntraoperative ComplicationsLungPeripheral Nerve InjuriesPneumonectomySolitary Pulmonary NoduleSurgery, Computer-AssistedThoracic Surgery, Video-AssistedIntercostal nerve damageSegmentectomySuper uniportSuper-uniportal

Identifiers

PMID32328737
OpenAlexW3020280946

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.