Evidence map›Paper›PMID 31983030›Full record

ArticleEndocrine2020

Use of the Thyroid Imaging Reporting and Data System (TIRADS) in clinical practice: an Italian survey.

Giovanni Mauri, Salvatore Gitto, Vito Cantisani, Gianfranco Vallone, Cosima Schiavone, Enrico Papini, Luca Maria Sconfienza

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Contemporary Thyroid Nodule Evaluation and Management.The Journal of clinical endocrinology and metabolism · 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

7 authors.

Giovanni MauriDivisione di Radiologia Interventistica, IRCCS Istituto Europeo di Oncologia, Milano, Italy.
Salvatore GittoDipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano, Italy. sal.gitto@gmail.com.ORCID http://orcid.org/0000-0002-3623-7822
Vito CantisaniUnità operativa di Innovazioni Diagnostiche e Ultrasonografiche, Azienda Ospedaliera Universitaria Policlinico Umberto I, Roma, Italy.
Gianfranco ValloneDepartimento Vita e Salute "V. Tiberio", Università degli Studi del Molise, Campobasso, Italy.
Cosima SchiavoneUnità operativa di Ecografia Internistica, Policlinico SS. Annunziata, Chieti, Italy.
Enrico PapiniDipartimento di Endocrinologia, Ospedale Regina Apostolorum, Albano Laziale, Italy.
Luca Maria SconfienzaDipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo perform an online survey about the use of Thyroid Imaging Reporting and Data System (TIRADS) classification in Italy.

methodsAn online questionnaire was administered to all members of the Italian Society of Medical and Interventional Radiology (Società Italiana di Radiologia Medica ed Interventistica, SIRM) and Italian Society of Ultrasound in Medicine and Biology (Società Italiana di Ultrasonologia in Medicina e Biologia, SIUMB). The survey consisted of 14 questions about demographics, knowledge, and the use of TIRADS classification, current job, expertize in thyroid ultrasound and fine needle aspiration biopsy, and work environment. Descriptive and nonparametric statistics were used, with P < 0.05 indicating statistical significance.

resultsA total of 1544 answers (9.8% out of 15,836) were received. The participants were 45 (36-59) years old [median (25th-75th percentiles)] and mostly (53.6%) familiar with TIRADS classification. Structured reporting (P < 0.001), expertize in thyroid ultrasound (P = 0.005) and fine needle aspiration biopsy (P < 0.001), and work in a multidisciplinary team (P < 0.001) were associated with the use of TIRADS classification. Physicians working in other fields than radiology were more prone to using TIRADS classification than radiologists and radiologists-in-training (P < 0.001).

conclusionMost physicians adopt TIRADS classification when performing thyroid ultrasound. TIRADS classification provides recommendations for the management of thyroid nodules and its use has to be encouraged.

Indexed as

Thyroid NeoplasmsThyroid NoduleHumansItalyMiddle AgedSurveys and QuestionnairesUltrasonographyFine needle aspiration biopsyStructured reportingThyroid cancerThyroid noduleUltrasound

Identifiers

PMID31983030

What OpenQuestion holds

Textmetadata
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.