Evidence map›Paper›PMID 35299112›Full record

ArticleEuropean journal of radiology2022

Using an ultrasonography risk stratification system to enhance the thyroid fine needle aspiration performance.

Débora L Strieder, Ana P Cristo, André B Zanella, Carlo S Faccin, Mauricio Farenzena, Márcia S Graudenz, José Miguel Dora, Ana Luiza Maia, Rafael Selbach Scheffel

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In one paragraph

Article in European journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Preoperative stratification of cytologically indeterminate thyroid nodules by [European journal of nuclear medicine and molecular imaging · 2023
    Article
  8. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Débora L StriederThyroid Unit, Hospital de Clínicas de Porto Alegre, Medical School, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Ana P CristoThyroid Unit, Hospital de Clínicas de Porto Alegre, Medical School, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
André B ZanellaThyroid Unit, Hospital de Clínicas de Porto Alegre, Medical School, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Carlo S FaccinThyroid Unit, Hospital de Clínicas de Porto Alegre, Medical School, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Mauricio FarenzenaThyroid Unit, Hospital de Clínicas de Porto Alegre, Medical School, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Márcia S GraudenzPathology Division, Medical School, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
José Miguel DoraThyroid Unit, Hospital de Clínicas de Porto Alegre, Medical School, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Ana Luiza MaiaThyroid Unit, Hospital de Clínicas de Porto Alegre, Medical School, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Rafael Selbach ScheffelThyroid Unit, Hospital de Clínicas de Porto Alegre, Medical School, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Department of Pharmacology, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil. Electronic address: rscheffel@hcpa.edu.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpouseThe American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) is a risk stratification system for thyroid nodules based on their ultrasonography (US) characteristics. Here, we aimed to assess TI-RADS on fine needle aspiration biopsy (FNAB) recommendations and performance in thyroid nodules.

methodsWe performed a retrospective study in a single center. All patients with thyroid nodules who underwent FNAB between 2012 and 2019 were included. TI-RADS data were extracted from medical records. Malignancy rates were defined based on cytological exams.

resultsA total of 1,044 nodules (938 patients) were evaluated. TI-RADS classification was as follows: 13 TI-RADS 1, 524 TI-RADS 2, 273 TI-RADS 3, 148 TI-RADS 4, and 85 TI-RADS 5. TI-RADS classification showed a sensitivity of 75% (95 %CI: 63-84.7), a negative predictive value of 97.6% (95 %CI: 96.5-98.5), and accuracy of 73.1% (95 %CI: 70.3-75.8). According to TI-RADS FNAB criteria, only 314 (30%) nodules would have undergone FNAB. Of them, 157 (50%) were classified as benign (Bethesda II), 45 (14.3%) as undetermined (Bethesda III or IV), and 51 (16.2%) as malignant (Bethesda V or VI). Of the remaining 729 nodules that did not meet FNAB criteria, 17 (2.3%) had Bethesda V or VI and underwent surgery. Of them, four (23%) were <1 cm in size (microcarcinomas), and eight (47.0%) remain in follow-up according to the TI-RADS criteria. Seven malignant cases would be missed (0.9%).

conclusionACR TI-RADS allows a significant decrease in the number of FNAB, increasing its diagnostic accuracy.

Indexed as

Thyroid NoduleBiopsy, Fine-NeedleHumansRetrospective StudiesRisk AssessmentUltrasonographyDiagnosticFine needle biopsyThyroid cancerThyroid imaging reporting and data systemThyroid noduleUltrasonography

Identifiers

PMID35299112

What OpenQuestion holds

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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.