Evidence map›Paper›PMID 28881848›Full record

ReviewOncotarget2017

Biomarkers for early diagnosis of malignant mesothelioma: Do we need another moonshot?

Sabrina Lagniau, Kevin Lamote, Jan P van Meerbeeck, Karim Y Vermaelen

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Exhaled Breath Analysis in Diagnosis of Malignant Pleural Mesothelioma: Systematic Review.International journal of environmental research and public health · 2020
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  13. Boron neutron capture therapy: Current status and future perspectives.Cancer communications (London, England) · 2020
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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.

Sabrina LagniauTumor Immunology Laboratory, Department of Respiratory Medicine, Ghent University Hospital, 9000 Ghent, Belgium.
Kevin LamoteTumor Immunology Laboratory, Department of Respiratory Medicine, Ghent University Hospital, 9000 Ghent, Belgium.
Jan P van MeerbeeckDepartment of Internal Medicine, Ghent University, 9000 Ghent, Belgium.
Karim Y VermaelenTumor Immunology Laboratory, Department of Respiratory Medicine, Ghent University Hospital, 9000 Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis of malignant pleural mesothelioma (MPM) is a challenge for clinicians. The disease is usually detected in an advanced stage which precludes curative treatment. We assume that only new and non-invasive biomarkers allowing earlier detection will result in better patient management and outcome. Many efforts have already been made to find suitable biomarkers in blood and pleural effusions, but have not yet resulted in a valid and reproducible diagnostic one. In this review, we will highlight the strengths and shortcomings of blood and fluid based biomarkers and highlight the potential of breath analysis as a non-invasive screening tool for MPM. This method seems very promising in the early detection of diverse malignancies, because exhaled breath contains valuable information on cell and tissue metabolism. Research that focuses on breath biomarkers in MPM is in its early days, but the few studies that have been performed show promising results. We believe a breathomics-based biomarker approach should be further explored to improve the follow-up and management of asbestos exposed individuals.

Indexed as

biomarkersmesothelioma

Identifiers

PMID28881848
PMCPMC5581147

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.