Evidence map›Paper›PMID 35117015›Full record

ArticleTranslational cancer research2019

Analysis of real-word mutations of lung cancer driver genes in five regions of China.

Mengyao Sun, Ye Guo, Guoguang Shao, Xiumei Duan, Zhiguang Yang, Peng Zhang, Yunpeng Liu, Yutong Dong, Xu Wang, Yinghui Xu and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Mengyao Sun *Department of Cancer Centre, First Hospital of Jilin University, Changchun 130021, China.
Ye Guo *Department of Cancer Centre, First Hospital of Jilin University, Changchun 130021, China.
Guoguang ShaoDepartment of Thoracic Surgery, First Hospital of Jilin University, Changchun 130021, China.
Xiumei DuanDepartment of Pathology, First Hospital of Jilin University, Changchun 130021, China.
Zhiguang YangDepartment of Thoracic Surgery, First Hospital of Jilin University, Changchun 130021, China.
Peng ZhangDepartment of Thoracic Surgery, First Hospital of Jilin University, Changchun 130021, China.
Yunpeng LiuDepartment of Thoracic Surgery, First Hospital of Jilin University, Changchun 130021, China.
Yutong DongDepartment of Gastroenteric Medicine, First Hospital of Jilin University, Changchun 130021, China.
Xu WangDepartment of Cancer Centre, First Hospital of Jilin University, Changchun 130021, China.
Yinghui XuDepartment of Cancer Centre, First Hospital of Jilin University, Changchun 130021, China.
Chao SunDepartment of Cancer Centre, First Hospital of Jilin University, Changchun 130021, China.
Kewei MaDepartment of Cancer Centre, First Hospital of Jilin University, Changchun 130021, China.
Jilin University · CNFirst Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to analyse the epidemiological characteristics and clinical features of the three driver genes

methods

resultsA total of 3,081 patients with pathologically confirmed NSCLC from five sites in China were enrolled, among whom 1,449 (47.03%) had

conclusionsThis real-word study of alterations in driver genes in a large population in China revealed unique epidemiological characteristics and clinical features in Chinese patients with NSCLC.

Indexed as

clinical featuresEGFREML4-ALKepidemiologyROS1

Identifiers

PMID35117015
PMCPMC8798790
OpenAlexW4240457516

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.