Evidence map›Paper›PMID 32727606›Full record

ArticleJournal of cardiothoracic surgery2020

Different driver gene mutations in patients with synchronous multiple primary lung cancers: a case report.

Yong Yang, Xiaofeng Xie, Gening Jiang, Hongcheng Liu

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of cardiothoracic surgery, 2020. 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
0.3field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
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

4 authors at 1 institution in 1 country.

Yong YangDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China.
Xiaofeng XieDepartment of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China.
Gening JiangDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China.
Hongcheng LiuDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China. lhcsz@163.com.ORCID http://orcid.org/0000-0002-6413-6703
Tongji University · CN

Funding

Shanghai Association for Science and Technology 19ZR1442900Tongji University 2016KJ069Young Scientists Fund 81500060
6 · The paper itself

Abstract

backgroundRoutine clinical and pathological examinations usually cannot fully conclusively determine the relationship between different lesions of lung cancer. Detailed genetic analysis of tumor samples may supply important additional information and identify second primary lung cancers. CASE PRESENTATION: In the present study, we report a case of synchronous multiple primary lung cancer (MPLC) composed of two distinct pathological subtypes with epidermal growth factor receptor (EGFR) gene mutations L858R of the acinar adenocarcinoma subtype and EML4-ALK rearrangement of the squamous cell carcinoma.

conclusionThe present report highlights the clinical importance of molecular cancer biomarkers detection to guide management decisions in MPLC cases.

Indexed as

Adenocarcinoma of LungAgedErbB ReceptorsHumansLung NeoplasmsMaleMutationNeoplasms, Multiple PrimaryOncogene Proteins, FusionTomography, X-Ray ComputedEGFR protein, humanEML4-ALK fusion protein, humanErbB ReceptorsOncogene Proteins, FusionALKCase reportEGFRMultiple primary lung cancer

Identifiers

PMID32727606
PMCPMC7389679
OpenAlexW3045718510

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.