Evidence map›Paper›PMID 33708833›Full record

ArticleAnnals of translational medicine2021

Analysis of metastases in non-small cell lung cancer patients with epidermal growth factor receptor mutation.

Yu Chen, Juan Deng, Yu Liu, Hao Wang, Sha Zhao, Yayi He, Caicun Zhou

Abstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Real-world clinical experience with osimertinib in advanced EGFR-mutated non-small cell lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Observational
  4. Article
  5. Article
  6. Translational lung cancer research · 2024
    Article
  7. Article
  8. Article
  9. Observational
  10. 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

7 authors.

Yu ChenDepartment of Orthopedic, Spine Center, Shanghai Changzheng Hospital, Shanghai, China.
Juan DengDepartment of Orthopedic, Spine Center, Shanghai Changzheng Hospital, Shanghai, China.
Yu LiuDepartment of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China.
Hao WangDepartment of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China.
Sha ZhaoDepartment of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China.
Yayi HeDepartment of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China.
Caicun ZhouDepartment of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost lung cancer patients are diagnosed at an advanced stage with metastases. There was no population-based data on metastases in non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (

methodsIn our research, we retrospectively studied 365 NSCLC patients with

resultsAmong the

conclusionsFor patients with metastatic lung cancer, most metastases happened before diagnosis, which indicated that metastases related to driving mutations, such as

Indexed as

epidermal growth factor receptor (EGFR)metastasesNon-small cell lung cancer (NSCLC)T790M

Identifiers

PMID33708833
PMCPMC7940889

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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.