Evidence map›Paper›PMID 26597052›Full record

ArticleScientific reports2015

Value of TIRADS, BSRTC and FNA-BRAF V600E mutation analysis in differentiating high-risk thyroid nodules.

Yu-zhi Zhang, Ting Xu, Dai Cui, Xiao Li, Qing Yao, Hai-yan Gong, Xiao-yun Liu, Huan-huan Chen, Lin Jiang, Xin-hua Ye and 5 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 17% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Article
  6. BRAFCancer medicine · 2022
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  13. Cancer biology & medicine · 2019
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  15. Value ofAJNR. American journal of neuroradiology · 2018
    Article
  16. Review
  17. Article
  18. 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

15 authors at 1 institution in 1 country.

Yu-zhi ZhangDepartment of Endocrinology, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China.
Ting XuDepartment of Endocrinology, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China.
Dai CuiDepartment of Endocrinology, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China.
Xiao LiDepartment of Pathology, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China.
Qing YaoDepartment of Pathology, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China.
Hai-yan GongDepartment of Ultrasound, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China.
Xiao-yun LiuDepartment of Endocrinology, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China.
Huan-huan ChenDepartment of Endocrinology, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China.
Lin JiangDepartment of Endocrinology, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China.
Xin-hua YeDepartment of Ultrasound, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China.
Zhi-hong ZhangDepartment of Pathology, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China.
Mei-ping ShenDepartment of General Surgery, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China.
Yu DuanDepartment of Endocrinology, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China.
Tao YangDepartment of Endocrinology, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China.
Xiao-hong WuDepartment of Endocrinology, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China.
Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The thyroid imaging reporting and data system (TIRADS) and Bethesda system for reporting thyroid cytopathology (BSRTC) have been used for interpretation of ultrasound and fine-needle aspiration cytology (FNAC) results of thyroid nodules. BRAF(V600E) mutation analysis is a molecular tool in diagnosing thyroid carcinoma. Our objective was to compare the diagnostic value of these methods in differentiating high-risk thyroid nodules. Total 220 patients with high-risk thyroid nodules were recruited in this prospective study. They all underwent ultrasound, FNAC and BRAF(V600E) mutation analysis. The sensitivity and specificity of TIRADS were 73.1% and 88.4%. BSRTC had higher specificity (97.7%) and similar sensitivity (77.6%) compared with TIRADS. The sensitivity and specificity of BRAF(V600E) mutation (85.1%, 100%) were the highest. The combination of BSRTC and BRAF(V600E) mutation analysis significantly increased the efficiency, with 97.8% sensitivity, 97.7% specificity. In patients with BSRTC I-III, the mutation rate of BRAF(V600E) was 64.5% in nodules with TIRADS 4B compared with 8.4% in nodules with TIRADS 3 or 4A (P < 0.001). Our study indicated that combination of BSRTC and BRAF(V600E) mutation analysis bears a great value in differentiating high-risk thyroid nodules. The TIRADS is useful in selecting high-risk patients for FNAB and patients with BSRTC I-III for BRAF(V600E) mutation analysis.

Indexed as

AdultCarcinoma, PapillaryDiagnosis, DifferentialDNA Mutational AnalysisEndoscopic Ultrasound-Guided Fine Needle AspirationFemaleHumansMaleMiddle AgedMutation, MissenseProto-Oncogene Proteins B-rafRiskThyroid NeoplasmsThyroid NoduleBRAF protein, humanProto-Oncogene Proteins B-raf

Identifiers

PMID26597052
PMCPMC4657033
OpenAlexW2419545012

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LicenceCC BY
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Registered trials

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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.