Evidence map›Paper›PMID 30830426›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2018

Diagnosis of post-surgical fine-needle aspiration biopsies of thyroid lesions with indeterminate cytology using HRMAS NMR-based metabolomics.

Lamya Rezig, Adele Servadio, Liborio Torregrossa, Paolo Miccoli, Fulvio Basolo, Laetitia Shintu, Stefano Caldarelli

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
2.3field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  3. Pooled it
  4. Trial
  5. FTOZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
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  18. Metabolomics of Oral/Head and Neck Cancer.Advances in experimental medicine and biology · 2021
    Article
  19. The Potential of Metabolomics in the Diagnosis of Thyroid Cancer.International journal of molecular sciences · 2020
    Review
  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

7 authors at 3 institutions in 2 countries.

Lamya RezigAix Marseille Univ, CNRS, Centrale Marseille, iSm2, Marseille, France.
Adele ServadioDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, Pisa, Italy.
Liborio TorregrossaDivision of Surgical Pathology, University Hospital of Pisa, Pisa, Italy.
Paolo MiccoliDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, Pisa, Italy.
Fulvio BasoloDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, Pisa, Italy.
Laetitia ShintuAix Marseille Univ, CNRS, Centrale Marseille, iSm2, Marseille, France. laetitia.shintu@univ-amu.fr.ORCID 0000-0003-2730-121X
Stefano CaldarelliAix Marseille Univ, CNRS, Centrale Marseille, iSm2, Marseille, France.
Centre National de la Recherche Scientifique · FRUniversity of Pisa · ITAzienda Ospedaliera Universitaria Pisana · IT

Funding

Agence Nationale de la Recherche ANR-2011- JS08-014-01
6 · The paper itself

Abstract

introductionUltrasound examination coupled with fine-needle aspiration (FNA) cytology is the gold standard for the diagnosis of thyroid cancer. However, about 10-40% of these analyses cannot be conclusive on the malignancy of the lesions and lead to surgery. The cytological indeterminate FNA biopsies are mainly constituted of follicular-patterned lesions, which are benign in 80% of the cases.

objectivesThe development of a FNAB classification approach based on the metabolic phenotype of the lesions, complementary to cytology and other molecular tests in order to limit the number of patients undergoing unnecessary thyroidectomy.

methodsWe explored the potential of a NMR-based metabolomics approach to improve the quality of the diagnosis from FNABs, using thyroid tissues collected post-surgically.

resultsThe NMR-detected metabolites were used to produce a robust OPLSDA model to discriminate between benign and malignant tumours. Malignancy was correlated with amino acids such as tyrosine, serine, alanine, leucine and phenylalanine and anti-correlated with myo-inositol, scyllo-inositol and citrate. Diagnosis accuracy was of 84.8% when only indeterminate lesions were considered.

conclusionThese results on model FNAB indicate that there is a clear interest in exploring the possibility to export NMR metabolomics to pre-surgical diagnostics.

Indexed as

MetabolomicsNuclear Magnetic Resonance, BiomolecularBiopsy, Fine-NeedleFemaleHumansMaleMultivariate AnalysisThyroid NeoplasmsThyroid NoduleDiagnosisFine-needle aspirationFollicularIndeterminate cytologyNMR-based metabolomicsThyroid cancer

Identifiers

PMID30830426
OpenAlexW2897733933

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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.