Evidence map›Paper›PMID 33489820›Full record

ReviewTranslational lung cancer research2020

Overcoming TKI resistance in fusion-driven NSCLC: new generation inhibitors and rationale for combination strategies.

Alessandro Russo, Andrés F Cardona, Christian Caglevic, Paolo Manca, Alejandro Ruiz-Patiño, Oscar Arrieta, Christian Rolfo

Open access · diamondAbstract readReview
In one paragraph

Review in Translational lung cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Emerging Targets in Non-Small Cell Lung Cancer.International journal of molecular sciences · 2024
    Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Predictive Biomarkers in Thyroid Cancer.Frontiers in oncology · 2022
    Review
  12. Article
  13. Article
  14. 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 6 institutions in 5 countries.

Alessandro RussoMedical Oncology Unit, A.O. Papardo, Messina, Italy.
Andrés F CardonaFoundation for Clinical and Applied Cancer Research (FICMAC), Bogotá, Colombia.
Christian CaglevicHead of Cancer Research Department, Instituto Oncologico Fundacion Arturo Lopez Perez, Santiago, Chile.
Paolo MancaFondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Alejandro Ruiz-PatiñoFoundation for Clinical and Applied Cancer Research (FICMAC), Bogotá, Colombia.
Oscar ArrietaThoracic Oncology Unit, Instituto Nacional de Cancerología (INCan), México City, México.
Christian RolfoMarlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA.
Universidad El Bosque · COAzienda Ospedaliera Ospedali Riuniti Papardo Piemonte · ITFondazione IRCCS Istituto Nazionale dei Tumori · ITFundación Arturo López Pérez · CLInstituto Nacional de Cancerología · MXUniversity of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the last several years, multiple gene rearrangements with oncogenic potential have been described in NSCLC, identifying specific clinic-pathological subgroups of patients that benefit from a targeted therapeutic approach, including

Indexed as

acquired resistanceAnaplastic lymphoma kinase (ALK)c-ros protooncogene 1 (ROS1)neurotrophic tyrosine receptor kinases (NTRK)REarranged during Transfection (RET)

Identifiers

PMID33489820
PMCPMC7815353
OpenAlexW3089080731

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.