SynthesisEndocrine2016
Diagnostic accuracy of ultrasound-guided fine needle aspiration biopsy for thyroid malignancy: systematic review and meta-analysis.
Synthesis in Endocrine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04488640 (Compliance of Thyroid Fine Needle Aspiration Biopsy and Trucut Biopsy Results With Thyroid Imaging Reporting and Data System Score and Surgical Pathology), which is not on this map. Cited by 44 papers, 3 of them syntheses that pooled it.
What it found
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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.
Compliance of Thyroid Fine Needle Aspiration Biopsy and Trucut Biopsy Results With Thyroid Imaging Reporting and Data System Score and Surgical Pathology
Who cites it
44 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Diagnostic value of combined ultrasound contrast and elastography for differentiating benign and malignant thyroid nodules: a meta-analysis.Scientific reports · 2024Pooled it
- Diagnostic Accuracy of Fine-Needle Biopsy in the Detection of Thyroid Malignancy: A Systematic Review and Meta-analysis.JAMA surgery · 2022Pooled it
- Diagnostic accuracy of palpation versus ultrasound-guided fine needle aspiration biopsy for diagnosis of malignancy in thyroid nodules: a systematic review and meta-analysis.BMC endocrine disorders · 2022Pooled it
- Article
- Contextual Barriers and Facilitators to Implementing Ultrasound-Guided Fine-Needle Aspiration and Rapid Onsite Evaluation in a Resource-Limited Setting.JCO global oncology · 2026Article
- Advantages of thyroid core needle biopsy: an emerging selective first-line biopsy modality.Ultrasonography (Seoul, Korea) · 2026Article
- A lightweight GhostYOLO framework with GhostDynamic Module and multi-scale attention for thyroid nodule diagnosis.Scientific reports · 2026Article
- Prediction of thyroid nodule properties and potential for malignant metastasis based on tumor pH.Thyroid research · 2026Article
- Comparison of two ablation methods in benign thyroid nodules: Radiofrequency ablation and non-cooled microwave ablation.Journal of clinical imaging science · 2026Article
- Cytological biomarkers and risk of malignancy in indeterminate thyroid nodules: a systematic review and meta-analysis.Endocrine oncology (Bristol, England) · 2026Review
- The combined detection of aspiration biopsy, computed tomography and BRAFV600E gene has high diagnostic value for papillary thyroid carcinoma.Archives of endocrinology and metabolism · 2025Article
- Construction of a Multimodal Machine Learning Model for Papillary Thyroid Carcinoma Based on Pathomics and Ultrasound Radiomics Dataset.Data in brief · 2025Article
- A Novel Training Model to Improve Diagnostic Accuracy of Cervical Fine-Needle Aspiration.Head & neck · 2025Article
- TIRADS-based artificial intelligence systems for ultrasound images of thyroid nodules: protocol for a systematic review.Journal of ultrasound · 2025Article
- Integrated intraoperative predictive model for malignancy risk assessment of thyroid nodules with atypia of undetermined significance cytology.Scientific reports · 2025Article
- Unveiling the link between ACR TI-RADS grading and Bethesda score of thyroid nodules in diabetic patients: A comprehensive analysis.Biomolecules & biomedicine · 2024Article
- Combing superb microvascular imaging with shear wave elastography for risk stratification of Thyroid Imaging Reporting and Data System (TI-RADS) 4 thyroid nodules.Gland surgery · 2024Article
- Diagnostic Accuracy of Ultrasound and Fine-Needle Aspiration Cytology in Thyroid Malignancy.Medicina (Kaunas, Lithuania) · 2024Article
- Deep learning to assist composition classification and thyroid solid nodule diagnosis: a multicenter diagnostic study.European radiology · 2024Article
- The ultrasound-based radiomics-clinical machine learning model to predict papillary thyroid microcarcinoma in TI-RADS 3 nodules.Translational cancer research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo systematically appraise and summarize the available evidence about the diagnostic accuracy of ultrasound-guided fine needle aspiration biopsy (USFNA) for thyroid malignancy, and to explore the integration of these estimates with the probability of thyroid malignancy before USFNA.
methodsA comprehensive search of multiple databases from each database's inception to August 2014 was performed. Eligible studies included those that evaluated patients with thyroid nodules who underwent USFNA and subsequent evaluation by histopathology or long-term follow-up.
resultsWe identified 32 studies at moderate risk of bias evaluating the USFNA diagnostic characteristics for the diagnosis of thyroid malignancy. Results were imprecise and inconsistent across trials. The pooled likelihood ratio (LR) of thyroid malignancy for a benign USFNA result was 0.09 (95 % CI 0.06, 0.14; I (2) = 33 %), whereas the pooled LR for a malignant result was 197 (95 % CI, 68, 569; I (2) = 77 %). In the case of a suspicious for follicular neoplasm result, the pooled LR for malignancy was 0.6 (95 % CI, 0.4, 1.0; I (2) = 84 %) and 8.3 (95 % CI, 3.6, 19.2; I (2) = 89) for a result of suspicious for malignancy.
conclusionThe available evidence regarding the diagnostic accuracy of USFNA warrants only limited confidence due to risk of bias, imprecision, and inconsistency. However, some USFNA results (benign, malignant) are likely very helpful, by significantly changing the pre-test probability of thyroid cancer.
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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.