Evidence map›Paper›PMID 32980961›Full record

ArticleJournal of cancer research and clinical oncology2021

Epidermal growth factor receptor mutations in lung adenocarcinoma: associations between dual-energy spectral CT measurements and histologic results.

Guojin Zhang, Yuntai Cao, Jing Zhang, Zhiyong Zhao, Wenjuan Zhang, Junlin Zhou

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Review
  3. Quantitative PCCT spectral parameters for noninvasive prediction of EGFR status and its subtypes in lung adenocarcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Predictive value of spectral dual-detector computed tomography forQuantitative imaging in medicine and surgery · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

6 authors.

Guojin Zhang *Second Clinical School, Lanzhou University, Lanzhou, China.ORCID http://orcid.org/0000-0002-4312-5212
Yuntai CaoSecond Clinical School, Lanzhou University, Lanzhou, China.
Jing ZhangSecond Clinical School, Lanzhou University, Lanzhou, China.
Zhiyong ZhaoSecond Clinical School, Lanzhou University, Lanzhou, China.
Wenjuan ZhangSecond Clinical School, Lanzhou University, Lanzhou, China.
Junlin Zhou *Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China. ery_zhoujl@lzu.edu.cn.ORCID http://orcid.org/0000-0001-8109-6347

Funding

Open Fund project of Key Laboratory of Medical Imaging of Gansu Province GSYX202010Talent Innovation and Entrepreneurship Project of Lanzhou 2016-RC-58
6 · The paper itself

Abstract

objectiveTo analyze the relationship between dual-energy spectral CT and epidermal growth factor receptor (EGFR) mutation status in patients with lung adenocarcinoma.

methodsThe quantitative parameters of spectral CT were analyzed in 208 patients with lung adenocarcinoma. The quantitative parameters including CT

resultsSex (p = 0.027) and smoking history (p = 0.019) differed significantly according to the EGFR-mutation status. Spectral CT quantitative parameters (CT

conclusionThe quantitative parameters of dual-energy spectral CT have potential value for identifying the EGFR-mutation status.

Indexed as

MutationAdenocarcinoma of LungAdultAgedAged, 80 and overDiagnosis, DifferentialErbB ReceptorsFemaleFollow-Up StudiesHumansLung NeoplasmsMaleMiddle AgedPrognosisRetrospective StudiesROC CurveEGFR protein, humanErbB ReceptorsEpidermal growth factor receptorLung adenocarcinomaSpectral computed tomography

Identifiers

PMID32980961
PMCPMC11802015

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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.