Evidence map›Paper›PMID 42052947›Full record

ArticleInternational wound journal2024

RETRACTED: Effects of thoracoscopic lobectomy on surgical wound infection in patients with lung cancer: A meta-analysis.

Guang Yang, Ming-Zhi Ren, Xiang-Bing Xin, Yan-Jie Niu, Tao Wang

RetractedAbstract readRetracted Publication
In one paragraph

Article in International wound journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Guang YangDepartment of Thoracic Surgery, The Second Affiliated Hospital of Air Force Medical University, Xi'an, Shanxi, China.
Ming-Zhi RenDepartment of Thoracic Surgery, The Second Affiliated Hospital of Air Force Medical University, Xi'an, Shanxi, China.
Xiang-Bing XinDepartment of Thoracic Surgery, The Second Affiliated Hospital of Air Force Medical University, Xi'an, Shanxi, China.
Yan-Jie NiuXianyang First People's Hospital, Xianyang, Shanxi, China.
Tao WangDepartment of Thoracic Surgery, The Second Affiliated Hospital of Air Force Medical University, Xi'an, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This meta-analysis systematically evaluates the impact of thoracoscopic lobectomy on wound infection and complications in lung cancer patients. An extensive computerized search was conducted using PubMed, Embase, Google Scholar, Cochrane Library, China National Knowledge Infrastructure and Wanfang databases for studies comparing thoracoscopic lobectomy with open thoracotomy in the treatment of lung cancer, covering the period up to September 2023. Two researchers independently screened the literature, extracted data and assessed the quality according to predefined inclusion and exclusion criteria. Data analysis was performed using Stata 17.0 software. Ultimately, 21 studies involving 2118 lung cancer surgery patients were included. The analysis revealed that thoracoscopic lobectomy significantly reduced the incidence of wound infections (odds ratio [OR] = 0.22, 95% confidence interval [CI]: 0.13-0.37, p < 0.001) and complications (OR = 0.27, 95% CI: 0.21-0.36, p < 0.001) in lung cancer surgery patients, and also significantly shortened hospital stays (standardized mean difference = -2.07, 95% CI: -2.39 to -1.76, p < 0.001). This study indicates that compared with conventional open thoracotomy, thoracoscopic lobectomy in the treatment of lung cancer reduces the incidence of wound infections and complications and shortens hospital stays, demonstrating significant therapeutic efficacy and warranting broader clinical application.

Indexed as

complicationslung cancermeta‐analysisthoracoscopic lobectomywound infections

Identifiers

PMID42052947
PMCPMC10850924

What OpenQuestion holds

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Registered trials

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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.