Evidence map›Paper›PMID 31281467›Full record

ArticleJournal of Cancer2019

Association of

Yi-Liang Wu, Ming-Hsien Chien, Ying-Erh Chou, Jer-Hwa Chang, Tu-Chen Liu, Thomas Chang-Yao Tsao, Ming-Chih Chou, Shun-Fa Yang

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Associations ofInternational journal of molecular sciences · 2020
    Article
  11. The Impact ofInternational journal of environmental research and public health · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Involvement of FGFR4 Gene Variants on the Clinicopathological Severity in Urothelial Cell Carcinoma.International journal of environmental research and public health · 2019
    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

8 authors at 4 institutions in 1 country.

Yi-Liang WuInstitute of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Ming-Hsien ChienGraduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Ying-Erh ChouSchool of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Jer-Hwa ChangPulmonary Research Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
Tu-Chen LiuInstitute of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Thomas Chang-Yao TsaoSchool of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Ming-Chih ChouInstitute of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Shun-Fa YangInstitute of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Chung Shan Medical University Hospital · TWChung Shan Medical University · TWWan Fang Hospital · TWCheng Ching Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-mobility group protein box 1 (HMGB1) is overexpressed and reported to be a prognostic factor in patients with non-small-cell lung cancer (NSCLC). Epidermal growth factor receptor (EGFR) mutants play an important role in NSCLC progression. The aim of this study was to explore potential associations between genetic polymorphisms of

Indexed as

Epidermal growth factor receptorHigh-mobility group protein box 1Non-small-cell lung cancerPolymorphismSusceptibility

Identifiers

PMID31281467
PMCPMC6590032
OpenAlexW2949999931

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.