Evidence map›Paper›PMID 23868001›Full record

ReviewBritish journal of cancer2013

Molecular sputum analysis for the diagnosis of lung cancer.

A J Hubers, C F M Prinsen, G Sozzi, B I Witte, E Thunnissen

Open access · hybridAbstract readReview
In one paragraph

Review in British journal of cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

52 citing papers in PubMed, 107 citations in OpenAlex.

  1. Article
  2. Review
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  5. Article
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  13. Review
  14. Computational and Bioinformatics Methods for MicroRNA Gene Prediction.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  15. [Role and Significance of Bioactive Substances in Sputum
 in the Diagnosis of Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2021
    Review
  16. Current and Future Development in Lung Cancer Diagnosis.International journal of molecular sciences · 2021
    Review
  17. 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

5 authors at 3 institutions in 2 countries.

A J HubersDepartment of Pathology, VU University Medical Center, Amsterdam, The Netherlands.
C F M Prinsen
G Sozzi
B I Witte
E Thunnissen
Amsterdam UMC Location VUmc · NLCanisius-Wilhelmina Ziekenhuis · NLFondazione IRCCS Istituto Nazionale dei Tumori · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer mortality rate worldwide, mainly because of the presence of metastatic disease at the time of diagnosis. Early detection of lung cancer improves prognosis, and towards this end, large screening trials in high-risk individuals have been conducted since the past century. Despite all efforts, the need for novel (complementary) lung cancer diagnostic and screening methods still exists. In this review, we focus on the assessment of lung cancer-related biomarkers in sputum in the past decennium. Besides cytology, mutation and microRNA analysis, special attention has been paid to DNA promoter hypermethylation, of which all available literature is summarised without time restriction. A model is proposed to aid in the distinction between diagnostic and risk markers. Research on the use of sputum for non-invasive detection of early-stage lung cancer has brought new insights and advanced molecular techniques. The sputum shows a promising potential for routine diagnostic and possibly screening purposes.

Indexed as

Biomarkers, TumorDNA MethylationHumansLung NeoplasmsPromoter Regions, GeneticSputumBiomarkers, Tumor

Identifiers

PMID23868001
PMCPMC3738145
OpenAlexW1993068261

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.