ReviewCancers2021
The New Era of TIRADSs to Stratify the Risk of Malignancy of Thyroid Nodules: Strengths, Weaknesses and Pitfalls.
Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 49 citations in OpenAlex.
- Head-to-head comparison of American, European, and Asian TIRADSs in thyroid nodule assessment: systematic review and meta-analysis.European thyroid journal · 2024Pooled it
- 2023 European Thyroid Association Clinical Practice Guidelines for thyroid nodule management.European thyroid journal · 2023Guideline
- Diagnostic performance of C-TIRADS in malignancy risk stratification of thyroid nodules: A systematic review and meta-analysis.Frontiers in endocrinology · 2022Pooled it
- Diagnostic accuracy of ultrasound, computed tomography, and magnetic resonance imaging for the evaluation of thyroid nodules.The Cochrane database of systematic reviews · 2026Article
- Gray zone possibility in repeat Bethesda III cytology: a retrospective cohort study of malignancy and multifocality in thyroid nodules.Annals of surgical treatment and research · 2026Article
- Real-world agreement in the ultrasound classification of subcapsular thyroid nodules: comparison with expert assessment.Thyroid research · 2026Article
- Study of French inter-expert variability in thyroid nodule ultrasound.European thyroid journal · 2026Article
- Review
- Can back-wall cystic figures of thyroid nodules predict benignity?European thyroid journal · 2026Article
- Beyond Size: Integrating Ultrasonographic Features and FNAB Cytology to Predict Thyroid Malignancy-A Retrospective, Single-Center Study.Journal of clinical medicine · 2026Article
- Sonographic and cytological predictors of thyroid malignancy using TIRADS and Bethesda systems: a cross-sectional study.Frontiers in endocrinology · 2026Article
- Comparative study of different worldwide versions of the thyroid risk stratification system in patients with thyroid nodules in China.Quantitative imaging in medicine and surgery · 2026Article
- Article
- Review
- Prediction of thyroid malignancy risk using clinical and ultrasonography features and a machine learning approach.European radiology · 2025Article
- Analysis of FNAC indication in thyroid nodules assessed as low risk according to various TIRADSs.European thyroid journal · 2025Article
- Article
- Performance of computer scientists in the assessment of thyroid nodules using TIRADS lexicons.Journal of endocrinological investigation · 2025Article
- Analysis of features of papillary thyroid carcinoma on color Doppler ultrasound images: implications for lymph node metastasis.BMC medical imaging · 2025Article
- Prevalence of thyroid nodules and canceration risk assessment in TIRADS, and their relationships to obesity and dysglycemia.Frontiers in oncology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since 2009, thyroid imaging reporting and data systems (TI-RADS) have been playing an increasing role in the field of thyroid nodules (TN) imaging. Their common aims are to provide sonologists of varied medical specialties and clinicians with an ultrasound (US) based malignancy risk stratification score and to guide decision making of fine-needle aspiration (FNA). Schematically, all TI-RADSs scores can be classified as either pattern-based or point-based approaches. The main strengths of these systems are their ability (i) to homogenize US TN descriptions among operators, (ii) to facilitate and shorten communication on the malignancy risk of TN between sonologists and clinicians, (iii) to provide quantitative ranges of malignancy risk assessment with high sensitivity and negative predictive values, and (iv) to reduce the number of unnecessary FNAs. Their weaknesses are (i) the remaining inter-observer discrepancies and (ii) their insufficient sensitivity for the diagnosis of follicular cancers and follicular variant of papillary cancers. Most common pitfalls are degenerating shrinking nodules and confusion between individual and coalescent nodules. The benefits of all TI-RADSs far outweigh their shortcomings, explaining their rising use, but the necessity to improve and merge the different existing systems remains.
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Registered trials
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.