Evidence map›Paper›PMID 30235778›Full record

ArticleMedicine2018

Score for lung adenocarcinoma in China with EGFR mutation of exon 19: Combination of clinical and radiological characteristics analysis.

Zhang Shi, Xuan Zheng, Ruifeng Shi, Changen Song, Runhong Yang, Qianwen Zhang, Xinrui Wang, Jianping Lu, Yongwei Yu, Tao Jiang

Abstract read
In one paragraph

Article in Medicine, 2018. 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
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

3 citing papers in PubMed.

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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

10 authors.

Zhang ShiDepartment of Radiology Clinical Nutrition Department, Changhai Hospital, Second Military Medical University, Shanghai Department of Radiology, Yanan University Affiliated Hospital, Shanxi Department of Pathology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Xuan Zheng
Ruifeng Shi
Changen Song
Runhong Yang
Qianwen Zhang
Xinrui Wang
Jianping Lu
Yongwei Yu
Tao Jiang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroudThe biopsy samples might be the only tumor material available for testing the EGFR mutation status in some cases, but these samples are often composed of variable ratios of tumor to normal cells. In this study, we sought to build a scoring system to predict Epidermal growth factor receptor (EGFR) exon 19 mutation in lung adenocarcinoma by clinical and radiological features.

methodsEnrolled in this study were 601 patients with lung adenocarcinoma. Qualitative evaluation of the clinical and radiological features included 25 aspects. Statistical analysis was used to assess the association of these features between the EGFR wild type and exon 19 mutation, based on a clinical scoring system built by the statistical model and the experience of the radiologists.

resultsEGRF-exon-19-mutation was associated with the female gender [odds ratios (OR), 2.573; 95% confidence intervals (CI), 1.689-3.920], tumor maximum diameter (OR, 0.357; 95% CI, 0.235-0.542), the absence of emphysema (OR, 0.202; 95% CI, 0.110-0.368), the absence of fibrosis (OR, 0.168; 95% CI, 0.083-0.339), and pleural retraction (OR, 2.170; 95% CI, 1.434-3.285). The clinical scoring model assigned 3 points to the female gender, 2 points to small tumor maximum diameter (≤34.5 mm), 2 to the absence of emphysema, 2 to the absence of fibrosis, and 1 to the presence of pleural retraction.

conclusionsThe scoring system based on the statistical analysis of clinical and radiological features may be a new alternative to the prediction of EGFR mutation subtypes.

Indexed as

AdenocarcinomaAdenocarcinoma of LungAdultAgedChinaErbB ReceptorsExonsFemaleHumansLungLung NeoplasmsMaleMiddle AgedModels, StatisticalMutationRadiographyEGFR protein, humanErbB Receptors

Identifiers

PMID30235778
PMCPMC6160170

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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.