Evidence map›Paper›PMID 38863911›Full record

ArticleJournal of the ASEAN Federation of Endocrine Societies2024

Diagnostic Accuracy of American College of Radiology Thyroid Imaging Reporting Data System: A Single-center Cross-sectional Study.

Pamela Ann Aribon, Emmylou Teope, Anna Lyn Egwolf, Maria Patricia Maningat

Abstract read
In one paragraph

Article in Journal of the ASEAN Federation of Endocrine Societies, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Ultrasound-Guided Thyroid Biopsy.Seminars in interventional radiology · 2024
    Review
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

4 authors.

Pamela Ann AribonCenter for Diabetes Thyroid and Endocrine Disorders, St. Luke's Medical Center, Global City, Taguig, Philippines.
Emmylou TeopeDepartment of Radiology, Section of Ultrasonography, St. Luke's Medical Center, Global City, Taguig, Philippines.
Anna Lyn EgwolfDepartment of Radiology, Section of Ultrasonography, St. Luke's Medical Center, Global City, Taguig, Philippines.
Maria Patricia ManingatCenter for Diabetes Thyroid and Endocrine Disorders, St. Luke's Medical Center, Global City, Taguig, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to evaluate the diagnostic accuracy of the American College of Radiology Thyroid Imaging Reporting Data System (ACR TI-RADS) in identifying nodules that need to undergo fine-needle aspiration biopsy (FNAB) and identify specific thyroid ultrasound characteristics of nodules associated with thyroid malignancy in Filipinos in a single tertiary center. Methodology: One hundred seventy-six thyroid nodules from 130 patients who underwent FNAB from January 2018 to December 2018 were included. The sonographic features were described and scored using the ACR TI-RADS risk classification system, and the score was correlated to their final cytopathology results. Results: The calculated malignancy rates for TI-RADS 2 to TI-RADS 5 were 0%, 3.13%, 7.14%, and 38.23%, respectively, which were within the TI-RADS risk stratification thresholds. The ACR TI-RADS had a sensitivity of 89.5% and specificity of 54%, LR + of 1.95 and LR - of 0.194, NPV of 97.7%, PPV of 19.1%, and accuracy of 58%. Conclusion: The ACR TI-RADS may provide an effective malignancy risk stratification for thyroid nodules and may help guide the decision for FNAB among Filipino patients. The classification system may decrease the number of unnecessary FNABs for nodules with low-risk scores.

Indexed as

Thyroid NeoplasmsThyroid NoduleUltrasonographyAdultAgedBiopsy, Fine-NeedleCross-Sectional StudiesFemaleHumansMaleMiddle AgedPhilippinesRadiology Information SystemsSensitivity and SpecificitySocieties, MedicalThyroid GlandACR TI-RADSFNABthyroid nodules

Identifiers

PMID38863911
PMCPMC11166092

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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.