Evidence map›Paper›PMID 39634906›Full record

ArticlePakistan journal of medical sciences2024

Clinical value of epidermal growth factor receptor mutation testing in peripheral blood of patients with non-small cell lung cancer.

Xiaomeng Zheng, Chengbi Tong, Xiaodong Li, Yanan Meng, Xiaodan Liu

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiaomeng ZhengXiaomeng Zheng Clinical Laboratory, Affiliated Hospital of Hebei University, Baoding 071000, Hebei, China.
Chengbi TongChengbi Tong Clinical Laboratory, Affiliated Hospital of Hebei University, Baoding 071000, Hebei, China.
Xiaodong LiXiaodong Li Department of Nuclear Medicine, Affiliated Hospital of Hebei University, Baoding 071000, Hebei, China.
Yanan MengYanan Meng Clinical Laboratory, Affiliated Hospital of Hebei University, Baoding 071000, Hebei, China.
Xiaodan LiuXiaodan Liu Clinical Laboratory, Affiliated Hospital of Hebei University, Baoding 071000, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the clinical value of EGFR mutation testing in peripheral blood of patients with non-small cell lung cancer. Method: This was a retrospective study. A total of 89 patients with non-small cell lung cancer (NSCLC) admitted to Affiliated Hospital of Hebei University between June 2019 and May 2023 were selected, and divided into the wild-type group and the mutant group according to the results of EGFR mutation testing in peripheral blood. Clinic pathological data of patients were collected and compared between the two groups, the correlation between EGFR mutation and the prognosis was analyzed. Result: No statistically significant difference in the mutation rate of EGFR gene was observed between peripheral blood ctDNA and tumor tissue (p=0.879). EGFR mutation in peripheral blood ctDNA was not significantly correlated with sex, age, ethnicity and ECOG score (p>0.05). The EGFR mutation rate was increased in patients with adenocarcinoma compared with that in patient with squamous carcinoma, and in non-smoking patients compared with that in smoking patients, and the differences were statistically significant (p<0.05). The 1-, 2-, and 3-year disease-free survival (DFS) rates were significantly increased in the mutant group compared with those in the wild-type group, respectively (p<0.05). Conclusion: EGFR mutation in peripheral blood and tumor tissues is highly consistent in NSCLC patients. The EGFR mutation rate is higher in adenocarcinoma and non-smoking patients, and the prognosis is better in patients with EGFR mutations.

Indexed as

Epidermal growth Factor receptorGene mutationNon-small cell lung cancerPeripheral bloodPrognosis

Identifiers

PMID39634906
PMCPMC11613394

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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.