Evidence map›Paper›PMID 31731455›Full record

ArticleJournal of clinical medicine2019

Histopathological Verification of the Diagnostic Performance of the EU-TIRADS Classification of Thyroid Nodules-Results of a Multicenter Study Performed in a Previously Iodine-Deficient Region.

Katarzyna Dobruch-Sobczak, Zbigniew Adamczewski, Ewelina Szczepanek-Parulska, Bartosz Migda, Kosma Woliński, Agnieszka Krauze, Piotr Prostko, Marek Ruchała, Andrzej Lewiński, Wiesław Jakubowski and 1 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

11 authors.

Katarzyna Dobruch-SobczakRadiology Department II, Maria Sklodowska-Curie Institute- Oncology Center, 15 Wawelska St., 02-034 Warsaw, Poland.ORCID 0000-0003-1470-4140
Zbigniew AdamczewskiDepartment of Endocrinology and Metabolic Diseases, Medical University of Lodz, 4 Kosciuszki St., 90-419 Lodz, Poland.
Ewelina Szczepanek-ParulskaDepartment of Endocrinology, Metabolism and Internal Medicine, Poznan University of Medical Sciences, 49 Przybyszewskiego St, 60-355 Poznan, Poland.ORCID 0000-0003-3661-3274
Bartosz MigdaDepartment of Imaging Diagnostics, Medical University of Warsaw, 61 Żwirki i Wigury St., 02-091 Warsaw, Poland.ORCID 0000-0001-8308-8121
Kosma WolińskiDepartment of Endocrinology, Metabolism and Internal Medicine, Poznan University of Medical Sciences, 49 Przybyszewskiego St, 60-355 Poznan, Poland.
Agnieszka KrauzeDepartment of Imaging Diagnostics, Medical University of Warsaw, 61 Żwirki i Wigury St., 02-091 Warsaw, Poland.
Piotr ProstkoStatistician, 00-001 Warsaw, Poland.
Marek RuchałaDepartment of Endocrinology, Metabolism and Internal Medicine, Poznan University of Medical Sciences, 49 Przybyszewskiego St, 60-355 Poznan, Poland.ORCID 0000-0002-6296-7220
Andrzej LewińskiDepartment of Endocrinology and Metabolic Diseases, Medical University of Lodz, 4 Kosciuszki St., 90-419 Lodz, Poland.ORCID 0000-0002-8748-3337
Wiesław JakubowskiDepartment of Imaging Diagnostics, Medical University of Warsaw, 61 Żwirki i Wigury St., 02-091 Warsaw, Poland.
Marek DedecjusDepartment of Oncological Endocrinology and Nuclear Medicine, Maria Sklodowska-Curie Institute- Oncology Center, 15 Wawelska St., 02-034 Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo validate the European Thyroid Imaging and Reporting Data System EU-TIRADS classification in a multi-institutional database of thyroid nodules by analyzing the obtained scores and histopathology results.

methodsA total of 842 thyroid lesions (613 benign, 229 malignant) were identified in 428 patients (mean age 62.7 years) and scored according to EU-TIRADS, using ultrasound examination. In all tumors, histopathological verification was performed.

resultsIn EU-TIRADS 2 (154 nodules) all nodules were benign; in EU-TIRADS 3, only 3/93 malignancies were identified. In EU-TIRADS 4, 12/103 were malignant, and in EU-TIRADS 5 (278 benign vs. 214 malignant). The malignant nodules that would not have qualified for biopsy were: EU-TIRADS 3, 2/3 (67%) malignancies were <20 mm, in EU-TIRADS 4, 7/12 (58%) were <15 mm. In EU-TIRADS 5, 72/214 (34%) were <10 mm; in total, 81/229 (36%) malignant lesions would have been missed. The cutoff between EU-TIRADS 3/4 had sensitivity of 100%, specificity of 25.1%. Using cutoff for EU-TIRADS 5, 93.4%, 54.6%, respectively.

conclusionThe application of EU-TIRADS guidelines allowed us to achieve moderate specificity. The vast majority of malignancies in EU-TIRADS 3, 4, and 5 would not have been recommended for biopsy because having a smaller size than that proposed classification.

Indexed as

EU-TIRADS classificationhistopathological verificationthyroid nodulesultrasound

Identifiers

PMID31731455
PMCPMC6912671

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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.