Evidence map›Paper›PMID 32038482›Full record

ReviewFrontiers in endocrinology2019

Nodular Thyroid Disease in the Era of Precision Medicine.

Dario Tumino, Giorgio Grani, Marta Di Stefano, Maria Di Mauro, Maria Scutari, Teresa Rago, Laura Fugazzola, Maria Grazia Castagna, Fabio Maino

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.8field-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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Validating the 'CUT score' risk stratification tool for indeterminate thyroid nodules using the Bethesda system for reporting thyroid cytopathology.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2022
    Article
  11. Article
  12. Observational
  13. Molecular Aspects of Thyroid Calcification.International journal of molecular sciences · 2020
    Review
  14. Contemporary Thyroid Nodule Evaluation and Management.The Journal of clinical endocrinology and metabolism · 2020
    Review
  15. Article
  16. Article
  17. Update on Fundamental Mechanisms of Thyroid Cancer.Frontiers in endocrinology · 2020
    Review
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

9 authors at 6 institutions in 1 country.

Dario TuminoEndocrinology Unit, Department of Clinical and Experimental Medicine, Garibaldi-Nesima Medical Center, University of Catania, Catania, Italy.
Giorgio GraniDepartment of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.
Marta Di StefanoDivision of Endocrine and Metabolic Diseases, Department of Clinical Sciences and Community Health, IRCCS Istituto Auxologico Italiano, Università degli Studi di Milano, Milan, Italy.
Maria Di MauroDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
Maria ScutariEndocrinology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Teresa RagoEndocrinology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Laura FugazzolaDivision of Endocrine and Metabolic Diseases, Department of Clinical Sciences and Community Health, IRCCS Istituto Auxologico Italiano, Università degli Studi di Milano, Milan, Italy.
Maria Grazia CastagnaDepartment of Medical, Surgical and Neurological Sciences, University of Siena, Siena, Italy.
Fabio MainoDepartment of Medical, Surgical and Neurological Sciences, University of Siena, Siena, Italy.
IRCCS Istituto Auxologico Italiano · ITUniversity of Pisa · ITUniversity of Siena · ITSapienza University of Rome · ITUniversity of Catania · ITUniversity of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Management of thyroid nodules in the era of precision medicine is continuously changing. Neck ultrasound plays a pivotal role in the diagnosis and several ultrasound stratification systems have been proposed in order to predict malignancy and help clinicians in therapeutic and follow-up decision. Ultrasound elastosonography is another powerful diagnostic technique and can be an added value to stratify the risk of malignancy of thyroid nodules. Moreover, the development of new techniques in the era of "Deep Learning," has led to a creation of machine-learning algorithms based on ultrasound examinations that showed similar accuracy to that obtained by expert radiologists. Despite new technologies in thyroid imaging, diagnostic surgery in 50-70% of patients with indeterminate cytology is still performed. Molecular tests can increase accuracy in diagnosis when performed on "indeterminate" nodules. However, the more updated tools that can be used to this purpose in order to "rule out" (Afirma GSC) or "rule in" (Thyroseq v3) malignancy, have a main limitation: the high costs. In the last years various image-guided procedures have been proposed as alternative and less invasive approaches to surgery for symptomatic thyroid nodules. These minimally invasive techniques (laser and radio-frequency ablation, high intensity focused ultrasound and percutaneous microwave ablation) results in nodule shrinkage and improvement of local symptoms, with a lower risk of complications and minor costs compared to surgery. Finally, ultrasound-guided ablation therapy was introduced with promising results as a feasible treatment for low-risk papillary thyroid microcarcinoma or cervical lymph node metastases.

Indexed as

microcarcinomamini invasive treatmentmolecular testingthyroid noduleultrasound

Identifiers

PMID32038482
PMCPMC6989479
OpenAlexW3001391096

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.