Evidence map›Paper›PMID 39430327›Full record

ArticleTranslational lung cancer research2024

ALK-tyrosine kinase inhibitor intrinsic resistance due to

Edyta M Urbanska, Morten Grauslund, Siv M S Berger, Junia C Costa, Peter R Koffeldt, Jens B Sørensen, Eric Santoni-Rugiu

Abstract readCase Reports
In one paragraph

Article in Translational lung cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. TargetingTranslational lung cancer research · 2026
    Article
  3. ALK-tyrosine kinase inhibitor resistance due to acquiredTranslational lung cancer research · 2026
    Article
  4. Article
  5. Review
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.

Edyta M UrbanskaDepartment of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-4578-9346
Morten GrauslundDepartment of Pathology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.ORCID https://orcid.org/0000-0001-6416-8660
Siv M S BergerDepartment of Radiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.ORCID https://orcid.org/0009-0006-2068-8203
Junia C CostaDepartment of Radiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.ORCID https://orcid.org/0000-0001-8910-433X
Peter R KoffeldtDepartment of Pathology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.ORCID https://orcid.org/0009-0005-0193-650X
Jens B SørensenDepartment of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.ORCID https://orcid.org/0000-0001-7780-0178
Eric Santoni-RugiuDepartment of Pathology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-2283-3535

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Most patients with advanced anaplastic lymphoma kinase ( Case Description: A 43-year-old, female diagnosed with T4N3M1c NSCLC harboring the echinoderm microtubule-associated protein-like 4 ( Conclusions: The combination of alectinib and crizotinib may be a feasible and effective treatment for

Indexed as

ALK-rearranged non-small cell lung cancer (ALK-rearranged NSCLC)case reportDe novo MET-amplificationintrinsic ALK-tyrosine kinase inhibitor resistance (intrinsic ALK-TKI resistance)tyrosine kinase inhibitor combination (TKI combination)

Identifiers

PMID39430327
PMCPMC11484720

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.