Evidence map›Paper›PMID 31963140›Full record

ArticleJournal of clinical medicine2020

Diagnostic Performance of Different Thyroid Imaging Reporting and Data Systems (Kwak-TIRADS, EU-TIRADS and ACR TI-RADS) for Risk Stratification of Small Thyroid Nodules (≤10 mm).

Simone Schenke, Rigobert Klett, Philipp Seifert, Michael C Kreissl, Rainer Görges, Michael Zimny

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. The EANM guideline on radioiodine therapy of benign thyroid disease.European journal of nuclear medicine and molecular imaging · 2023
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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

6 authors at 3 institutions in 1 country.

Simone SchenkeDivision of Nuclear Medicine, Department of Radiology and Nuclear Medicine, Magdeburg University Hospital, Leipziger Straße 44, 39120 Magdeburg, Germany.
Rigobert KlettInstitute for Nuclear Medicine Hanau/Giessen/Offenbach/Frankfurt, Paul-Zipp-Straße 171, 35398 Gießen, Germany.
Philipp SeifertClinic of Nuclear Medicine, Jena University Hospital, Am Klinikum 1 A4U1, 07740 Jena Lobeda-Ost, Germany.ORCID 0000-0002-3447-4971
Michael C KreisslDivision of Nuclear Medicine, Department of Radiology and Nuclear Medicine, Magdeburg University Hospital, Leipziger Straße 44, 39120 Magdeburg, Germany.
Rainer GörgesDepartment of Nuclear Medicine, Essen University Hospital, Hufelandstraße 55, 45122 Essen, Germany.
Michael ZimnyInstitute for Nuclear Medicine Hanau/Giessen/Offenbach/Frankfurt, Paul-Zipp-Straße 171, 35398 Gießen, Germany.
University Hospital Leipzig · DEEssen University Hospital · DEJena University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the widespread use of ultrasound, small thyroid nodules (TNs) ≤ 10 mm are common findings. Standardized approaches for the risk stratification of TNs with Thyroid Imaging Reporting and Data Systems (TIRADS) were evaluated for the clinical routine. With TIRADS, the risk of malignancy in TNs is calculated by scoring the number or combination of suspicious ultrasound features, leading to recommendations for further diagnostic steps. However, there are only scarce data on the performance of TIRADS for small TNs. The aim was to compare three different TIRADS for risk stratification of small TNs in routine clinical practice. We conducted a retrospective cohort analysis of TNs ≤ 10 mm and their available histology. Nodules were classified according to three different TIRADS. In the study, 140 patients (

Indexed as

risk stratificationsmall thyroid nodulesthyroid carcinomasTIRADS

Identifiers

PMID31963140
PMCPMC7019412
OpenAlexW2998825690

What OpenQuestion holds

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LicenceCC BY
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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.