Evidence map›Paper›PMID 34696540›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2021

[Radiofrequency Ablation for Lung Ground-glass Nodule].

Xiaogang Tan, Baodong Liu

Open access · greenAbstract read
In one paragraph

Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 78% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. [Advances in the Treatment of Multiple Primary Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025
    Review
  3. Observational
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

2 authors at 1 institution in 1 country.

Xiaogang TanDepartment of Thoracic Surgery, Xuan Wu Hospital of Capital Medical University, Beijing 100053, China.
Baodong LiuDepartment of Thoracic Surgery, Xuan Wu Hospital of Capital Medical University, Beijing 100053, China.
Xuan Wu Hospital of the Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the wide application of computed tomography (CT) in the screening of early lung cancer, more and more ground glass nodules (GGNs) have been found. Early intervention is helpful to improve the survival rate of lung cancer patients. Radiofrequency ablation (RFA) is an alternative option to manage primary or metastatic lung malignancies. The purpose of this study is to review the safety and clinical efficacy for lung GGN treated by RFA.

methodsFrom June 2016 to March 2021, 24 patients with a total of 28 lung GGNs in our hospital underwent 28 sessions of RFA. There were 13 males and 11 females with an average age of (69.4±11.1) years. The size of GGN receiving RFA was (1.30±0.56) cm; The ablation range was (2.50±0.63) cm and ablation time was (15.00±8.68) min.

resultsThe procedure of all RFAs went smoothly, no perioperative deaths occurred and no serious complications during the operation. The median follow-up was 25 months. One case died of myocardial infarction 2 months after operation. All 28 GGNs showed no evidence of local progression and the local control rate was 100.0%. Kaplan-Meier analysis showed that the 1-year and 2-year overall survival rates were 95.8% and 95.8%; the tumor specific survival rates were 100.0% and 100.0%, respectively.

conclusionsRFA is a safe, effective and minimally invasive technique for the treatment of lung GGNs.

Indexed as

Lung NeoplasmsRadiofrequency AblationAgedAged, 80 and overFemaleHumansLungMaleMiddle AgedTomography, X-Ray ComputedClinical effectiveLung ground-glass noduleRadiofrequency ablation

Identifiers

PMID34696540
PMCPMC8560985
OpenAlexW3209260067

What OpenQuestion holds

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LicenceCC BY
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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.