Evidence map›Paper›PMID 37078129›Full record

ReviewTechnology in cancer research & treatment

Advances in the Treatment of Rare Epidermal Growth Factor Receptor Mutations in Advanced Nonsmall-Cell Lung Cancer.

Limeng Yu, Ruilin Wang, Yuhua Zhao, Yingxi Wu, Lili Wang, Haiyang Chen, Zhen He, Qiming Wang, Yufeng Wu

Abstract readReview
In one paragraph

Review in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

9 authors.

Limeng YuDepartment of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.ORCID 0000-0002-4430-743X
Ruilin WangDepartment of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Yuhua ZhaoDepartment of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Yingxi WuDepartment of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Lili WangDepartment of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Haiyang ChenDepartment of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Zhen HeDepartment of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Qiming WangDepartment of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Yufeng WuDepartment of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidermal growth factor receptor (EGFR) mutations are common driver genes in nonsmall-cell lung cancer and have different sensitivities to EGFR-tyrosine kinase inhibitors (EGFR-TKIs). EGFR is divided into classic mutations and rare mutations. Classic mutations are well known, but the understanding of rare mutations is not sufficient. In this article, we summarize the clinical research and treatment progress of rare mutations for different EGFR-TKIs and provide a basis for clinical treatment decisions.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsErbB ReceptorsHumansMutationProtein Kinase InhibitorsErbB ReceptorsProtein Kinase InhibitorsEGFR mutationsEGFR-TKIsnonsmall-cell lung cancer (NSCLC)rare mutationtargeted therapy

Identifiers

PMID37078129
PMCPMC10126640

What OpenQuestion holds

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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.