Evidence map›Paper›PMID 36564867›Full record

ArticleThoracic cancer2023

Uniportal VATS lobectomy versus thoracotomy lobectomy for NSCLC larger than 5 cm: A propensity score-matched study.

Jingwei Liu, Xining Zhang, Jian Li

Abstract read
In one paragraph

Article in Thoracic cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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. Article
  2. Article
  3. Article
  4. Review
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.

Jingwei LiuPeking University First Hospital, Department of Thoracic Surgery, Peking University Health Science Center, Beijing, China.
Xining ZhangPeking University First Hospital, Department of Thoracic Surgery, Peking University Health Science Center, Beijing, China.ORCID 0000-0003-3825-7867
Jian LiPeking University First Hospital, Department of Thoracic Surgery, Peking University Health Science Center, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe performance of uniportal VATS lobectomy (uVATS) for non-small cell lung cancer (NSCLC) larger than 5 cm is uncertain due to a lack of evidence. Here, we present a retrospective, propensity-score matched cohort study to evaluate the safety and effectiveness of uVATS for patients with locally advanced NSCLC.

methodsThe data of patients with NSCLC larger than 5 cm diameter who underwent curative resection via uVATS or thoracotomy lobectomy between January 2015 and December 2020 was collected. Propensity-score matching was utilized to control the observable biases.

resultsSeventy-two patients underwent uVATS lobectomy, while 38 received thoracotomy lobectomy. No conversion to open surgery or perioperative death occurred. uVATS lobectomy achieved similar total lymph node dissection counts compared to thoracotomy and even yielded a higher amount of lymph node dissection in pTNM stage II patients. The long-term overall and recurrence-free survival rates were also similar between the two groups. Results from the propensity-score matching generated cohort agreed with those from the full cohort.

conclusionsuVATS lobectomy is feasible and effective for curative lobectomy for NSCLC larger than 5 cm in diameter in selected patients. Further validations from well-designed prospective studies are required for uVATS lobectomy for patients with locally advanced NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsCohort StudiesHumansPneumonectomyPropensity ScoreRetrospective StudiesThoracic Surgery, Video-AssistedThoracotomylobectomylymphadenectomynon-small cell lung cancerthoracotomyuniportal video-assisted thoracic surgery

Identifiers

PMID36564867
PMCPMC9925343

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.