Evidence map›Paper›PMID 28210122›Full record

ReviewLung Cancer (Auckland, N.Z.)2012

Update on biomarkers for the detection of lung cancer.

Eloisa Jantus-Lewintre, Marta Usó, Elena Sanmartín, Carlos Camps

Abstract readReview
In one paragraph

Review in Lung Cancer (Auckland, N.Z.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Blood-based Biomarkers for Early Diagnosis of Lung Cancer: A Review Article.JNMA; journal of the Nepal Medical Association · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. INTEGRATIVE ANALYSIS FOR LUNG ADENOCARCINOMA PREDICTS MORPHOLOGICAL FEATURES ASSOCIATED WITH GENETIC VARIATIONS.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2017
    Article
  18. Article
  19. Article
  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

4 authors.

Eloisa Jantus-LewintreMolecular Oncology Laboratory, Fundación para la Investigación del Hospital General Universitario, Valencia, Spain.
Marta UsóMolecular Oncology Laboratory, Fundación para la Investigación del Hospital General Universitario, Valencia, Spain.
Elena SanmartínMolecular Oncology Laboratory, Fundación para la Investigación del Hospital General Universitario, Valencia, Spain.
Carlos CampsMolecular Oncology Laboratory, Fundación para la Investigación del Hospital General Universitario, Valencia, Spain; Deparment of Medical Oncology, Consorcio Hospital General Universitario, Valencia, Spain; Department of Medicine, Universitat de València, Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients at risk for lung cancer may have subclinical disease for years before presentation. The diagnosis of this disease is primarily based on symptoms, and detection often occurs after curative intervention is no longer possible. At present, no lung cancer early-detection biomarker is clinically available. This study reviews the most recent advances in early detection and molecular diagnostic biomarkers for the detection of lung cancer. This review includes an overview of the various biological specimens and matrices in which these biomarkers could be analyzed, as well as the diverse strategies and approaches for identifying new biomarkers that are currently being explored. Several novel and attractive biomarker candidates for the early detection of lung cancer exist. A remarkable shift is taking place from research based on single markers to analyzing signatures that are more complex in order to take advantage of new high-throughput technologies. However, it is still necessary to validate the most promising markers and the standardization of procedures that will lead to specific clinical applications.

Indexed as

biomarkerdetectiondiagnosislung cancer

Identifiers

PMID28210122
PMCPMC5312486

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.