Evidence map›Paper›PMID 36930437›Full record

ArticleEndocrine2023

Explore the diagnostic performance of 2020 Chinese Thyroid Imaging Reporting and Data Systems by comparing with the 2017 ACR-TIRADS guidelines: a single-center study.

Miaomiao Cai, Libo Chen, Limin Shui, Xuan Lv, Hui Wang

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Endocrine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Diagnostic Efficiency of ACR-TIRADS Score for Differentiating Benign and Malignant Thyroid Nodules of Various Pathological Types.Medical science monitor : international medical journal of experimental and clinical research · 2024
    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

5 authors.

Miaomiao CaiChina-Japan Union Hospital, Jilin University, Changchun, China.
Libo ChenChina-Japan Union Hospital, Jilin University, Changchun, China. lbchen@jlu.edu.cn.ORCID 0000-0003-2839-0920
Limin ShuiChina-Japan Union Hospital, Jilin University, Changchun, China.
Xuan LvChina-Japan Union Hospital, Jilin University, Changchun, China.
Hui WangChina-Japan Union Hospital, Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the diagnostic efficacy of the Chinese Thyroid Imaging Reporting and Data Systems (C-TIRADS) with the well-accepted ACR-TIRADS guidelines in identifying benign from malignant thyroid nodules.

methodsA total of 2064 nodules were collected from 1627 patients undergoing thyroid ultrasonography in our center between October 2019 and November 2021. Nodules were divided into two groups: "≥1 cm" and "<1 cm". Ultrasound features of each nodule were observed and recorded by two physicians with more than 15 years of experience and classified according to the ACR-TIRADS and C-TIRADS guidelines, respectively.

resultsThe area under the curve of the ACR-TIRADS guideline was higher than that of the C-TIRADS guideline (0.922, P = 0.017), the specificity and positive predictive value of the C-TIRADS guideline were higher (81.64%, 88.72%, all P < 0.05), which was more significant in the subgroup of nodules <1 cm (P = 0.001). In addition, there was no statistical difference between the two guidelines in the diagnostic efficacy indicators for nodules ≥1 cm. The ACR-TIRADS effectively reduced unnecessary biopsies compared with the C-TIRADS (P < 0.05).

conclusionsThere was high agreement between the two guidelines for the diagnosis of thyroid nodules, C-TIRADS guidelines had a higher specificity and simplicity while were inferior to the ACR-TIRADS guidelines in terms of reducing the number of biopsies.

Indexed as

Thyroid NeoplasmsThyroid NoduleBiopsy, Fine-NeedleChinaData SystemsHumansPractice Guidelines as TopicRetrospective StudiesUltrasonographyUnited StatesFine-needle aspiration biopsyThyroid nodulesTIRADSUltrasound

Identifiers

PMID36930437

What OpenQuestion holds

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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.