Evidence map›Paper›PMID 31547603›Full record

ReviewGenes2019

The Role of Molecular Testing for the Indeterminate Thyroid FNA.

Esther Diana Rossi, Liron Pantanowitz, William C Faquin

Abstract readReview
In one paragraph

Review in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

  1. Pooled it
  2. Article
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  7. Article
  8. BRAFScientific reports · 2023
    Article
  9. Review
  10. Review
  11. Article
  12. Risk of malignancy in thyroid nodules with indeterminate (THY3f) cytology.Annals of the Royal College of Surgeons of England · 2022
    Article
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  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
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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

3 authors.

Esther Diana RossiDivision of Anatomic Pathology and Histology, Catholic University of Sacred Heart, 00168 Rome, Italy. esther.rossi@policlinicogemelli.it.ORCID 0000-0003-3819-4229
Liron PantanowitzDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA 15232, USA. pantanowitzl@upmc.edu.
William C FaquinDepartment of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Wfaquin@mgh.harvard.edu.

Funding

Strategies to Overcome Immune Resistance in Head and Neck CancersP01CA240239 · NCI · YALE UNIVERSITY · PI MEMPEL, THORSTEN ROMAN · 2019 to 2023
$8.4M
NCI NIH HHS P01 CA240239
6 · The paper itself

Abstract

Thyroid nodules are common in the adult population where a majority are benign and only 4.0% to 6.5% are malignant. Fine needle aspiration (FNA) is a key method used in the early stages to evaluate and triage patients with thyroid nodules. While a definitive cytological diagnosis is provided in more than 70-75% of all thyroid FNA cases, the group of indeterminate lesions offers a challenge in terms of interpretation and clinical management. Molecular testing platforms have been developed, are recognized as an option by the 2015 American Thyroid Association Guidelines, and are frequently used in conjunction with FNA as an integral part of the cytologic evaluation. In this review, the utility of molecular testing options for nodules assigned to the group of indeterminate thyroid FNAs is described.

Indexed as

Biopsy, Fine-NeedleHigh-Throughput Nucleotide SequencingHumansThyroid GlandThyroid NeoplasmsThyroid NoduleTranscriptomecytologyfine needle aspirationmolecular testingpersonalized medicinethyroid cancers

Identifiers

PMID31547603
PMCPMC6826845

What OpenQuestion holds

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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.