Evidence map›Paper›PMID 28399384›Full record

ReviewJournal of oncology practice2017

Biomarkers for Selection of Therapy for Adenocarcinoma of the Lung.

Eric H Bernicker, Ross A Miller, Phillip T Cagle

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Journal of oncology practice, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Using Similarity Metrics on Real World Data and Patient Treatment Pathways to Recommend the Next Treatment.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019
    Article
  5. Update on emerging biomarkers in lung cancer.Journal of thoracic disease · 2019
    Review
  6. Review
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Eric H BernickerHouston Methodist Hospital Houston, TX.
Ross A MillerHouston Methodist Hospital Houston, TX.
Phillip T CagleHouston Methodist Hospital Houston, TX.
Methodist Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To suggest that the discovery of targetable driver mutations in many patients with advanced adenocarcinoma of the lung has completely transformed the work-up and therapeutic options for this disease would not be hyperbole. Although not curative, small-molecule tyrosine kinase inhibitors directed at oncogene-addicted tumors have led to significantly improved response rates compared with cytotoxic chemotherapy, with often manageable toxicities and better tolerance. However, the absence of reliable clinical predictors has made molecular testing essential to ensure that patients receive the proper medical management. We outline the many recent advances with regard to diagnosis and treatment of oncogene-addicted advanced nonsquamous non-small-cell lung cancer.

Indexed as

Biomarkers, TumorMutationAdenocarcinomaAdenocarcinoma of LungAnaplastic Lymphoma KinaseClinical Decision-MakingErbB ReceptorsHumansLung NeoplasmsMolecular Diagnostic TechniquesMolecular Targeted TherapyProtein Kinase InhibitorsProtein-Tyrosine KinasesProto-Oncogene ProteinsProto-Oncogene Proteins p21(ras)Receptor Protein-Tyrosine KinasesAnaplastic Lymphoma KinaseBiomarkers, TumorErbB ReceptorsKRAS protein, humanProtein Kinase InhibitorsProtein-Tyrosine KinasesProto-Oncogene ProteinsProto-Oncogene Proteins p21(ras)Receptor Protein-Tyrosine KinasesROS1 protein, human

Identifiers

PMID28399384
OpenAlexW2607111032

What OpenQuestion holds

Textmetadata
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.