Evidence map›Paper›PMID 35075371›Full record

ArticleComputational and mathematical methods in medicine2022

The Diagnostic Efficacy of the American College of Radiology (ACR) Thyroid Imaging Report and Data System (TI-RADS) and the American Thyroid Association (ATA) Risk Stratification Systems for Thyroid Nodules.

Fei Chen, Yungang Sun, Guanqi Chen, Yuqian Luo, Guifang Xue, Kongmei Luo, Haoyuan Ma, Jiaxin Yao, Zhangtian Zhu, Guanbin Li and 1 more

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Fei ChenGeneral Surgery Center Department of Thyroid Surgery, Zhujiang Hospital, Southern Medical University, 253 Gongye Middle Avenue, Haizhu District, Guangzhou, Guangdong, China 510280.ORCID https://orcid.org/0000-0001-7891-6519
Yungang SunDepartment of Nuclear Medicine Zhujiang Hospital, Southern Medical University, 253 Gongye Middle Avenue, Haizhu District, Guangzhou, Guangdong, China 510280.ORCID https://orcid.org/0000-0001-6410-8342
Guanqi ChenSchool of Data and Computer Science, Sun Yat-sen University, No. 132, Outer Ring East Road, Guangzhou Higher Education Mega Center, Guangzhou, Guangdong, China 510006.ORCID https://orcid.org/0000-0002-1440-3340
Yuqian LuoDepartment of Laboratory Medicine, Nanjing Drum Tower Hospital and Jiangsu Key Laboratory for Molecular Medicine, Nanjing University Medical School, 321 Zhong Shan Road, Nanjing 210008, China.
Guifang XueGeneral Surgery Center Department of Thyroid Surgery, Zhujiang Hospital, Southern Medical University, 253 Gongye Middle Avenue, Haizhu District, Guangzhou, Guangdong, China 510280.
Kongmei LuoGeneral Surgery Center Department of Thyroid Surgery, Zhujiang Hospital, Southern Medical University, 253 Gongye Middle Avenue, Haizhu District, Guangzhou, Guangdong, China 510280.ORCID https://orcid.org/0000-0003-2491-378X
Haoyuan MaGeneral Surgery Center Department of Thyroid Surgery, Zhujiang Hospital, Southern Medical University, 253 Gongye Middle Avenue, Haizhu District, Guangzhou, Guangdong, China 510280.ORCID https://orcid.org/0000-0001-6819-7063
Jiaxin YaoGeneral Surgery Center Department of Thyroid Surgery, Zhujiang Hospital, Southern Medical University, 253 Gongye Middle Avenue, Haizhu District, Guangzhou, Guangdong, China 510280.
Zhangtian ZhuGeneral Surgery Center Department of Thyroid Surgery, Zhujiang Hospital, Southern Medical University, 253 Gongye Middle Avenue, Haizhu District, Guangzhou, Guangdong, China 510280.
Guanbin LiSchool of Data and Computer Science, Sun Yat-sen University, No. 132, Outer Ring East Road, Guangzhou Higher Education Mega Center, Guangzhou, Guangdong, China 510006.
Qiang LiGeneral Surgery Center Department of Thyroid Surgery, Zhujiang Hospital, Southern Medical University, 253 Gongye Middle Avenue, Haizhu District, Guangzhou, Guangdong, China 510280.ORCID https://orcid.org/0000-0003-2110-9235
Zhujiang Hospital · CNSun Yat-sen University · CNNanjing Drum Tower Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study is aimed at evaluating the diagnostic efficacy of ultrasound-based risk stratification for thyroid nodules in the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) and the American Thyroid Association (ATA) risk stratification systems.

methods286 patients with thyroid cancer were included in the tumor group, with 259 nontumor cases included in the nontumor group. The ACR TI-RADS and ATA risk stratification systems assessed all thyroid nodules for malignant risks. The diagnostic effect of ACR and ATA risk stratification system for thyroid nodules was evaluated by receiver operating characteristic (ROC) analysis using postoperative pathological diagnosis as the gold standard.

resultsThe distributions and mean scores of ACR and ATA rating risk stratification were significantly different between the tumor and nontumor groups. The lesion diameter > 1 cm subgroup had higher malignant ultrasound feature rates detected and ACR and ATA scores. A significant difference was not found in the ACR and ATA scores between patients with or without Hashimoto's disease. The area under the receiver operating curve (AUC) for the ACR TI-RADS and the ATA systems was 0.891 and 0.896, respectively. The ACR had better specificity (0.90) while the ATA system had higher sensitivity (0.92), with both scenarios having almost the same overall diagnostic accuracy (0.84).

conclusionBoth the ACR TI-RADS and the ATA risk stratification systems provide a clinically feasible thyroid malignant risk classification, with high thyroid nodule malignant risk diagnostic efficacy.

Indexed as

AdultAgedComputational BiologyFemaleHumansMaleMiddle AgedRisk FactorsROC CurveSocieties, MedicalThyroid NeoplasmsThyroid NoduleUltrasonographyUnited States

Identifiers

PMID35075371
PMCPMC8783731
OpenAlexW4205585807

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.