Evidence map›Paper›PMID 32722293›Full record

ReviewInternational journal of molecular sciences2020

The Potential of Metabolomics in the Diagnosis of Thyroid Cancer.

Margarida Coelho, Luis Raposo, Brian J Goodfellow, Luigi Atzori, John Jones, Bruno Manadas

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. 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
2.1field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 38 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Margarida CoelhoCNC-Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal.
Luis RaposoThyroid Study Group, Portuguese Society of Endocrinology, Diabetes and Metabolism, 1600-892 Lisbon, Portugal.ORCID 0000-0003-1001-6017
Brian J GoodfellowDepartment of Chemistry and CICECO, University of Aveiro, 3810-193 Aveiro, Portugal.
Luigi AtzoriDepartment of Biomedical Sciences, University of Cagliari, 09042 Cagliari, Italy.ORCID 0000-0002-0606-4959
John JonesCNC-Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal.ORCID 0000-0002-3745-3885
Bruno ManadasCNC-Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal.ORCID 0000-0002-2087-4042
University of Coimbra · PTUniversidade do Porto · PTUniversity of Aveiro · PTUniversity of Cagliari · IT

Funding

Fundação para a Ciência e a Tecnologia PD/BD/135178/2017Fundação para a Ciência e a Tecnologia PTDC/BTM-TEC/29311/2017Fundação para a Ciência e a Tecnologia PTDC/MEC-PSQ/30943/2017Fundação para a Ciência e a Tecnologia PTDC/MED-NEU/27946/2017Fundação para a Ciência e a Tecnologia SAICTPAC/0010/2015Fundação para a Ciência e a Tecnologia UIDB/04539/2020Rede Nacional de Espectrometria de Massa ROTEIRO/0028/2013
6 · The paper itself

Abstract

Thyroid cancer is the most common endocrine system malignancy. However, there is still a lack of reliable and specific markers for the detection and staging of this disease. Fine needle aspiration biopsy is the current gold standard for diagnosis of thyroid cancer, but drawbacks to this technique include indeterminate results or an inability to discriminate different carcinomas, thereby requiring additional surgical procedures to obtain a final diagnosis. It is, therefore, necessary to seek more reliable markers to complement and improve current methods. "Omics" approaches have gained much attention in the last decade in the field of biomarker discovery for diagnostic and prognostic characterisation of various pathophysiological conditions. Metabolomics, in particular, has the potential to identify molecular markers of thyroid cancer and identify novel metabolic profiles of the disease, which can, in turn, help in the classification of pathological conditions and lead to a more personalised therapy, assisting in the diagnosis and in the prediction of cancer behaviour. This review considers the current results in thyroid cancer biomarker research with a focus on metabolomics.

Indexed as

MetabolomicsThyroid NeoplasmsBiomarkers, TumorBiopsy, Fine-NeedleHumansBiomarkers, Tumorbiomarkerdiagnosismetabolitemetabolomicsthyroid cancer

Identifiers

PMID32722293
PMCPMC7432278
OpenAlexW3045267286

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.