Evidence map›Paper›PMID 34055015›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2021

Ablation Therapy Combined with EGFR TKIs in the Treatment of Advanced Non-Small Cell Lung Cancer: A Meta-Analysis of Randomized Controlled Trials.

Lu-Zhen Li, Jia-Ming Wu, Ting Chen, Liang-Chen Zhao, Juan-Na Zhuang, Hui-Si Hong, Ao Zhang, Hua-Tang Zhang, Can-Tu Fang

Abstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Review
  2. 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

9 authors.

Lu-Zhen LiZhongshan Affiliated Hospital, Guangzhou University of Chinese Medicine, Zhongshan 528400, China.
Jia-Ming WuZhongshan Affiliated Hospital, Guangzhou University of Chinese Medicine, Zhongshan 528400, China.ORCID https://orcid.org/0000-0003-2661-1443
Ting ChenZhongshan Affiliated Hospital, Guangzhou University of Chinese Medicine, Zhongshan 528400, China.
Liang-Chen ZhaoZhongshan Affiliated Hospital, Guangzhou University of Chinese Medicine, Zhongshan 528400, China.
Juan-Na ZhuangZhongshan Affiliated Hospital, Guangzhou University of Chinese Medicine, Zhongshan 528400, China.
Hui-Si HongZhongshan Affiliated Hospital, Guangzhou University of Chinese Medicine, Zhongshan 528400, China.
Ao ZhangZhongshan Affiliated Hospital, Guangzhou University of Chinese Medicine, Zhongshan 528400, China.
Hua-Tang ZhangZhongshan Affiliated Hospital, Guangzhou University of Chinese Medicine, Zhongshan 528400, China.
Can-Tu FangZhongshan Affiliated Hospital, Guangzhou University of Chinese Medicine, Zhongshan 528400, China.ORCID https://orcid.org/0000-0003-0984-7067

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSystematically evaluate the efficacy of physical ablation combined with TKI in the treatment of advanced non-small cell lung cancer (NSCLC).

methodsWe performed a comprehensive search of databases including OVID, PubMed, EMBASE, the Cochrane Library, and three Chinese databases (China National Knowledge Infrastructure, Wanfang Database, and Chongqing Weipu Database). The aim was to identify randomized controlled trials (RCT) investigating physical ablation as the treatment for advanced NSCLC. We also evaluated the methodological quality of the included studies and summarized the data extracted for meta-analysis with Review Manager 5.3.

resultsA total of 9 studies, including 752 patients, were evaluable. The meta-analysis results show that the complete response rate (CRR) (RR: 2.23, 95% CI: 1. 46 to 3.40,

conclusionPhysical ablation combined with TKI treatment in patients with advanced NSCLC can improve efficacy.

Identifiers

PMID34055015
PMCPMC8123993

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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.