Evidence map›Paper›PMID 29386699›Full record

ArticleDisease markers2017

Yuen Yee Cheng, Ellie Mok, Sarah Tan, Catherine Leygo, Chris McLaughlin, A M George, Glen Reid

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Genomics and Functional Genomics of Malignant Pleural Mesothelioma.International journal of molecular sciences · 2020
    Review
  9. Epigenetics ofCancers · 2020
    Review
  10. Review
  11. Article
  12. Article
  13. Genomic Deletion ofInternational journal of molecular sciences · 2018
    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 at 2 institutions in 1 country.

Yuen Yee ChengAsbestos Diseases Research Institute (ADRI), University of Sydney, Sydney, NSW, Australia.ORCID 0000-0001-7060-0624
Ellie MokAsbestos Diseases Research Institute (ADRI), University of Sydney, Sydney, NSW, Australia.
Sarah TanSchool of Life Sciences, University of Technology Sydney, Sydney, NSW, Australia.
Catherine LeygoAsbestos Diseases Research Institute (ADRI), University of Sydney, Sydney, NSW, Australia.
Chris McLaughlinSchool of Life Sciences, University of Technology Sydney, Sydney, NSW, Australia.
A M GeorgeSchool of Life Sciences, University of Technology Sydney, Sydney, NSW, Australia.
Glen ReidAsbestos Diseases Research Institute (ADRI), University of Sydney, Sydney, NSW, Australia.
The University of Sydney · AUUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant pleural mesothelioma (MPM) is associated with asbestos exposure. Asbestos can induce chronic inflammation which in turn can lead to silencing of tumour suppressor genes. Wnt signaling pathway can be affected by chronic inflammation and is aberrantly activated in many cancers including colon and MPM.

Indexed as

Adaptor Proteins, Signal TransducingAsbestosBiomarkers, TumorCarcinogensCell Line, TumorDNA MethylationEpigenesis, GeneticEye ProteinsHumansLung NeoplasmsMembrane ProteinsMesotheliomaMesothelioma, MalignantSecreted Frizzled-Related ProteinsAdaptor Proteins, Signal TransducingAsbestosBiomarkers, TumorCarcinogensEye ProteinsMembrane ProteinsSecreted Frizzled-Related ProteinsSERP1 protein, humanSFRP2 protein, humanSFRP5 protein, human

Identifiers

PMID29386699
PMCPMC5745727
OpenAlexW2775721524

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.