Evidence map›Paper›PMID 26014676›Full record

ReviewMolecular diagnosis & therapy2015

Diagnosis of Lung Cancer by SHOX2 Gene Methylation Assay.

Lele Song, Haotian Yu, Yuemin Li

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular diagnosis & therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
–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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. [Diagnostic Efficacy of SHOX2 Gene Hypermethylation for Lung Cancer: A Meta-Analysis].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2021
    Pooled it
  3. P16Thoracic cancer · 2018
    Pooled it
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. [SHOX2 promotes migration, invasion and stemness of bladder cancer cellsNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2021
    Article
  11. Signaling pathways and clinical application of RASSF1A and SHOX2 in lung cancer.Journal of cancer research and clinical oncology · 2020
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Clinical epigenetics · 2016
    Article
  17. Article
  18. Observational
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

3 authors.

Lele SongThe Chinese PLA 309 Hospital, No. 17, Heishanhu Road, HaiDian District, Beijing, 100091, People's Republic of China, songlele@sina.com.
Haotian Yu
Yuemin Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the most prevalent cancer in the world. Few effective and cheap methods are available so far for early detection and screening of lung cancer. Although histological and cytological examinations are gold standards in lung cancer diagnosis, patients are always at late stages when diagnosis is confirmed. Therefore, new diagnostic methods are needed urgently to increase the early diagnostic rate, enhance the confirmed diagnostic rate, and reduce mortality. The SHOX2 gene methylation assay has become a promising option for the above purposes. It has been shown to enhance the confirmed diagnostic rate of lung cancer in several clinical trials when combined with histological or cytological assays, and has the potential to become an early diagnostic tool. This article reviews the outcome of clinical trials using the SHOX2 gene methylation assay alone or in combination with other examinations, and suggests its future applications and research directions.

Indexed as

DNA MethylationClinical Trials as TopicEarly Detection of CancerHomeodomain ProteinsHumansLung NeoplasmsSensitivity and SpecificityHomeodomain ProteinsSHOX2 protein, human

Identifiers

What OpenQuestion holds

Textmetadata
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.