Evidence map›Paper›PMID 36102196›Full record

SynthesisThoracic cancer2022

Feasibility and oncological outcomes of video-assisted thoracic surgery versus thoracotomy for pathologic N2 disease in non-small cell lung cancer: A comprehensive systematic review and meta-analysis.

Xiaogang Li, Kaili Huang, Hanyu Deng, Qiangqiang Zheng, Tao Xiao, Jinming Yu, Qinghua Zhou

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Thoracic cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 4 pooled it
0.9field-weighted citation impact, top 25% 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, 4 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. 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

7 authors at 2 institutions in 1 country.

Xiaogang LiLung Cancer Center, West China Hospital of Sichuan University, Chengdu, China.
Kaili HuangLung Cancer Center, West China Hospital of Sichuan University, Chengdu, China.
Hanyu DengLung Cancer Center, West China Hospital of Sichuan University, Chengdu, China.
Qiangqiang ZhengLung Cancer Center, West China Hospital of Sichuan University, Chengdu, China.
Tao XiaoLung Cancer Center, West China Hospital of Sichuan University, Chengdu, China.
Jinming YuLung Cancer Center, West China Hospital of Sichuan University, Chengdu, China.
Qinghua ZhouLung Cancer Center, West China Hospital of Sichuan University, Chengdu, China.ORCID 0000-0001-6521-5123
Sichuan University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This meta-analysis aimed to evaluate the feasibility and oncological outcomes between video-assisted thoracic surgery (VATS) and thoracotomy for non-small cell lung cancer (NSCLC) patients with pathologic N2 (pN2) disease. Data for analysis included short-term outcomes and long-term outcomes. We calculated the weighted mean differences (WMDs) for continuous data and the results of overall survival (OS) and disease free survival (DFS) were pooled using the hazard ratios (HRs) with 95% confidence intervals (CIs). Heterogeneity was assessed using the Q-test and I

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsFeasibility StudiesHumansPneumonectomyRetrospective StudiesThoracic Surgery, Video-AssistedThoracotomynon-small cell lung canceroutcomespathologic N2thoracotomyVATS

Identifiers

PMID36102196
PMCPMC9626309
OpenAlexW4295585008

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.