Evidence map›Paper›PMID 31762957›Full record

ArticleComputational and structural biotechnology journal2019

Comparison of

Carina Heydt, Ann-Kathrin Becher, Svenja Wagener-Ryczek, Markus Ball, Anne M Schultheis, Simon Schallenberg, Vanessa Rüsseler, Reinhard Büttner, Sabine Merkelbach-Bruse

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. NGS coverage accurately predictsFrontiers in oncology · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Plasma ddPCR for the detection ofTherapeutic advances in medical oncology · 2024
    Article
  10. Review
  11. [Biomarker MET in tumor pathology].Pathologie (Heidelberg, Germany) · 2023
    Article
  12. Review
  13. Article
  14. Journal of cancer science and clinical therapeutics · 2022
    Article
  15. Cancers · 2021
    Article
  16. Routine Molecular Pathology Diagnostics in Precision Oncology.Deutsches Arzteblatt international · 2021
    Article
  17. Annals of translational medicine · 2021
    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

9 authors.

Carina HeydtInstitute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50937 Cologne, Germany.
Ann-Kathrin BecherInstitute of Pathology, University Hospital Düsseldorf, Moorenstr. 5, 40225 Düsseldorf, Germany.
Svenja Wagener-RyczekInstitute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50937 Cologne, Germany.
Markus BallInstitute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50937 Cologne, Germany.
Anne M SchultheisInstitute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50937 Cologne, Germany.
Simon SchallenbergInstitute of Pathology, Charité Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany.
Vanessa RüsselerInstitute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50937 Cologne, Germany.
Reinhard BüttnerInstitute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50937 Cologne, Germany.
Sabine Merkelbach-BruseInstitute of Pathology, University Hospital Cologne, Kerpener Str. 62, 50937 Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In EGFR-treatment naive NSCLC patients, high-level MET amplification is detected in approximately 2-3% and is considered as adverse prognostic factor. Currently, clinical trials with two different inhibitors, capmatinib and tepotinib, are under way both defining different inclusion criteria regarding

Indexed as

ddPCRMET amplificationMET FISHMET IHCNanoStringParallel sequencing

Identifiers

PMID31762957
PMCPMC6861603

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.