Evidence map›Paper›PMID 34674501›Full record

ArticleEndocrinology and metabolism (Seoul, Korea)2021

Comparison of Korean vs. American Thyroid Imaging Reporting and Data System in Malignancy Risk Assessment of Indeterminate Thyroid Nodules.

Sunyoung Kang, Seul Ki Kwon, Hoon Sung Choi, Min Joo Kim, Young Joo Park, Do Joon Park, Sun Wook Cho

Abstract read
In one paragraph

Article in Endocrinology and metabolism (Seoul, Korea), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Sunyoung KangDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Seul Ki KwonDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Hoon Sung ChoiDepartment of Internal Medicine, Kangwon National University School of Medicine, Chuncheon, Korea.
Min Joo KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Young Joo ParkDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Do Joon ParkDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Sun Wook ChoDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe management of cytologically indeterminate thyroid nodules is challenging for clinicians. This study aimed to compare the diagnostic performance of the Korean Thyroid Imaging Reporting and Data Systems (K-TIRADS) with that of the American College of Radiology (ACR)-TIRADS for predicting the malignancy risk of indeterminate thyroid nodules.

methodsThyroid nodules diagnosed by fine-needle aspiration (FNA) followed by surgery or core needle biopsy at a single referral hospital were enrolled.

resultsAmong 200 thyroid nodules, 78 (39.0%) nodules were classified as indeterminate by FNA (Bethesda category III, IV, and V), and 114 (57.0%) nodules were finally diagnosed as malignancy by surgery or core needle biopsy. The area under the curve (AUC) was higher for FNA than for either TIRADS system in all nodules, while all three methods showed similar AUCs for indeterminate nodules. However, for Bethesda category III nodules, applying K-TIRADS 5 significantly increased the risk of malignancy compared to a cytological examination alone (50.0% vs. 26.5%, P=0.028), whereas applying ACR-TIRADS did not lead to a change.

conclusionK-TIRADS and ACR-TIRADS showed similar diagnostic performance in assessing indeterminate thyroid nodules, and K-TIRADS had beneficial effects for malignancy prediction in Bethesda category III nodules.

Indexed as

Thyroid NeoplasmsThyroid NoduleData SystemsHumansRepublic of KoreaRetrospective StudiesRisk AssessmentUltrasonographyUnited StatesThyroid guidelinesThyroid imaging reporting and data systemsThyroid neoplasmsThyroid noduleThyroid ultrasound

Identifiers

PMID34674501
PMCPMC8566128

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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.