Evidence map›Paper›PMID 35683621›Full record

ArticleJournal of clinical medicine2022

The European Institute of Oncology Thyroid Imaging Reporting and Data System for Classification of Thyroid Nodules: A Prospective Study.

Elvio De Fiori, Carolina Lanza, Serena Carriero, Francesca Tettamanzi, Samuele Frassoni, Vincenzo Bagnardi, Giovanni Mauri

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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 4 institutions in 1 country.

Elvio De FioriUnità di Radiologia Clinico Diagnostica, European Institute of Oncology IRCCS, 20141 Milan, Italy.
Carolina LanzaPostgraduate School of Radiodiagnostics, University of Milan, 20122 Milan, Italy.
Serena CarrieroPostgraduate School of Radiodiagnostics, University of Milan, 20122 Milan, Italy.ORCID 0000-0003-2583-4215
Francesca TettamanziDepartment of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Italy.
Samuele FrassoniDepartment of Statistics and Quantitative Methods, University of Milan-Bicocca, 20126 Milan, Italy.ORCID 0000-0002-4265-2627
Vincenzo BagnardiDepartment of Statistics and Quantitative Methods, University of Milan-Bicocca, 20126 Milan, Italy.
Giovanni MauriDepartment of Oncology and Hematology-Oncology, University of Milan, 20122 Milan, Italy.
University of Milan · ITUniversity of Milano-Bicocca · ITHumanitas University · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate the performance, quality and effectiveness of "IEO-TIRADS" in assigning a TI-RADS score to thyroid nodules (TN) when compared with "EU-TIRADS" and the US risk score calculated with the S-Detect software ("S-Detect"). The primary objective is the evaluation of diagnostic accuracy (DA) by "IEO-TIRADS", "S-Detect" and "EU-TIRADS", and the secondary objective is to evaluate the diagnostic performances of the scores, using the histological report as the gold standard.

methodsA radiologist collected all three scores of the TNs detected and determined the risk of malignancy. The results of all the scores were compared with the histological specimens. The sensitivity (SE), specificity (SP), and diagnostic accuracy (DA), with their 95% confidence interval (95% CI), were calculated for each method.

results140 TNs were observed in 93 patients and classified according to all three scores. "IEO-TIRADS" has an SE of 73.6%, an SP of 59.2% and a DA of 68.6%. "EU-TIRADS" has an SE of 90.1%, an SP of 32.7% and a DA of 70.0%. "S-Detect" has an SE of 67.0%, an SP of 69.4% and a DA of 67.9%.

conclusion"IEO-TIRADS" has a similar diagnostic performance to "S-Detect" and "EU-TIRADS". Providing a comparable DA with other reporting systems, IEO-TIRADS holds the potential of being applied in clinical practice.

Indexed as

computer-aided diagnosisdiagnosisthyroidthyroid noduleTIRADSUS

Identifiers

PMID35683621
PMCPMC9181754
OpenAlexW4281699620

What OpenQuestion holds

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Registered trials

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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.