Evidence map›Paper›PMID 31139322›Full record

ArticleOncotarget2019

Defining molecular risk in ALK

Petros Christopoulos, Jan Budczies, Martina Kirchner, Steffen Dietz, Holger Sültmann, Michael Thomas, Albrecht Stenzinger

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
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  8. Review
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  15. Article
  16. Concomitant mutation status ofTranslational lung cancer research · 2021
    Article
  17. Article
  18. Therapeutic Sequencing in ALKPharmaceuticals (Basel, Switzerland) · 2021
    Review
  19. Review
  20. 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 3 institutions in 1 country.

Petros ChristopoulosDepartment of Thoracic Oncology, Thoraxklinik and National Center for Tumor Diseases at Heidelberg University Hospital, Baden Württemberg, Heidelberg, Germany.
Jan BudcziesInstitute of Pathology, Heidelberg University Hospital, Baden Württemberg, Heidelberg, Germany.
Martina KirchnerInstitute of Pathology, Heidelberg University Hospital, Baden Württemberg, Heidelberg, Germany.
Steffen DietzDivision of Cancer Genome Research, German Cancer Research Center and National Center for Tumor Diseases, Baden Württemberg, Heidelberg, Germany.
Holger SültmannDivision of Cancer Genome Research, German Cancer Research Center and National Center for Tumor Diseases, Baden Württemberg, Heidelberg, Germany.
Michael ThomasDepartment of Thoracic Oncology, Thoraxklinik and National Center for Tumor Diseases at Heidelberg University Hospital, Baden Württemberg, Heidelberg, Germany.
Albrecht StenzingerInstitute of Pathology, Heidelberg University Hospital, Baden Württemberg, Heidelberg, Germany.
University Hospital Heidelberg · DEGerman Cancer Research Center · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anaplastic lymphoma kinase (ALK)-positive non-small-cell lung cancers (NSCLC) have the best prognosis among metastatic pulmonary malignancies, with a median patient survival currently exceeding 5 years. While this is definitely a major therapeutic success for thoracic oncology, it may not be entirely attributable to rapid drug development and the strenuous clinical efforts. At the genetic level, ALK

Indexed as

ALK+ non-small cell lung cancerEML4-ALK fusion variantoverall survivalTP53 mutationtreatment resistance

Identifiers

PMID31139322
PMCPMC6517105
OpenAlexW2942955398

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.