Evidence map›Paper›PMID 35117857›Full record

ArticleTranslational cancer research2020

Differences among the Thyroid Imaging Reporting and Data System proposed by Korean, the American College of Radiology and the European Thyroid Association in the diagnostic performance of thyroid nodules.

Yi-Xin Shi, Lin Chen, Ying-Chun Liu, Jia Zhan, Xue-Hong Diao, Liang Fang, Yue Chen

Abstract read
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Article in Translational cancer research, 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

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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

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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.

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4 · The record

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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.

Yi-Xin ShiDepartment of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.
Lin ChenDepartment of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.
Ying-Chun LiuDepartment of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.
Jia ZhanDepartment of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.
Xue-Hong DiaoDepartment of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.
Liang FangDepartment of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.
Yue ChenDepartment of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to evaluate the diagnostic performance of the Thyroid Imaging Reporting and Data System (TIRADS) in the forms proposed by Kwak (K-TIRADS), the American College of Radiology (ACR-TIRADS) and the European Thyroid Association (EU-TIRADS). A total of 846 thyroid nodules were evaluated by K-TIRADS, ACR-TIRADS and EU-TIRADS. All the ultrasound data were analyzed and classified according to the criteria of the three systems. In addition, we calculated the risk of malignancy and plotted receiver operating characteristic (ROC) curves. Moreover, the diagnostic efficacy for malignancy were compared. Of the 846 thyroid nodules, 316 were malignant nodules and 530 were benign nodules. The areas under the ROC curves of K-TIRADS (0.827) and ACR-TIRADS (0.817) were not significantly different (P=0.2425); however, they were greater than that of EU-TIRADS (0.758) (P=0.000). The sensitivity of K-TIRADS (94.94%) was higher than that of ACR-TIRADS (61.08%) or EU-TIRADS (58.86%) (P=0.000), while ACR-TIRADS (89.62%) and EU-TIRADS (83.21%) had higher specificity than K-TIRADS (50.75%) (P=0.000). Although all the K-TIRADS, ACR-TIRADS and EU-TIRADS have values in risk stratification for thyroid nodules, they cannot simultaneously achieve high sensitivity and high specificity. Further research should be performed to develop a TIRADS which is more suitable for the population of China.

Indexed as

Thyroid Imaging Reporting and Data System (TIRADS)Thyroid nodulesultrasonography (US)

Identifiers

PMID35117857
PMCPMC8798608

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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.