Evidence map›Paper›PMID 34514169›Full record

ArticleOpen medicine (Warsaw, Poland)2021

Comparison of single- and triple-port VATS for lung cancer: A meta-analysis.

Yunfei Gao, Abulaiti Abulimiti, Dan He, Anpeng Ran, Dongbo Luo

Open access · goldAbstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 13 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Yunfei GaoDepartment of Thoracic Surgery, Affiliated Tumor Hospital, Xinjiang Medical University, Urumqi 830011, China.
Abulaiti AbulimitiDepartment of Thoracic Surgery, Affiliated Tumor Hospital, Xinjiang Medical University, Urumqi 830011, China.
Dan HeDepartment of Thoracic Surgery, Affiliated Tumor Hospital, Xinjiang Medical University, Urumqi 830011, China.
Anpeng RanDepartment of Thoracic Surgery, Affiliated Tumor Hospital, Xinjiang Medical University, Urumqi 830011, China.
Dongbo LuoDepartment of Thoracic Surgery, Affiliated Tumor Hospital, Xinjiang Medical University, Urumqi 830011, China.
Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the perioperative parameters between single- and triple-port video-assisted thoracoscopic surgery (VATS) lobectomy in the treatment of lung cancer.

methodsThe Pubmed, Embase, Cochrane library, and the Web of Science databases were electronically searched from inception to September 2019 for all relevant studies. Study quality was evaluated using the Jadad scale or the Newcastle-Ottawa scale. The results were pooled using the generic inverse-variance method and expressed as mean differences or risk ratios, with 95% confidence intervals.

resultsThree randomized controlled trials (RCTs) and ten cohort studies with 2,278 subjects were included in the meta-analysis. Whether based on RCTs or cohort studies, the pooled results showed no significant difference in the operation time, chest tube duration, intraoperative blood loss, postoperative hospital stays, lymph node dissection number, postoperative drainage volume, and postoperative complications between single- and triple-port VATS lobectomy (

conclusionSingle-port VATS lobectomy can yield similar perioperative results to those of triple-port VATS lobectomy and is more effective in relieving postoperative pain.

Indexed as

lung cancermeta-analysissingle-porttriple-portVATS

Identifiers

PMID34514169
PMCPMC8389499
OpenAlexW3196911427

What OpenQuestion holds

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LicenceCC BY
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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.