Evidence map›Paper›PMID 41971627›Full record

ArticleJournal of the Endocrine Society2026

Assessing the accuracy of thyroid nodule risk-stratification tools in Hispanic and non-Hispanic patients.

Carine Tamamian, Clifford Jiajun He, Charles Choe, Theresa Guo

Abstract read
In one paragraph

Article in Journal of the Endocrine Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Carine TamamianSchool of Medicine, University of California, San Diego, La Jolla, CA 92037, USA.ORCID https://orcid.org/0009-0007-9515-2072
Clifford Jiajun HeSchool of Medicine, University of California, San Diego, La Jolla, CA 92037, USA.
Charles ChoeDepartment of Endocrinology, University of California, San Diego, La Jolla, CA 92037, USA.
Theresa GuoDepartment of Otolaryngology, University of California, San Diego, La Jolla, CA 92037, USA.ORCID https://orcid.org/0000-0002-1689-3275

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Ultrasound risk categories (thyroid imaging, reporting, and data systems, TI-RADS), fine-needle aspiration cytology (Bethesda), and molecular classifiers guide thyroid nodule management. However, these tools may perform differently across populations due to differences in thyroid cancer characteristics among Hispanic patients. Objective: In this study, we compared the predictive performance of these tools in Hispanic vs non-Hispanic patients using surgical pathology as the gold standard. Methods: We performed a retrospective study of adult patients (≥18 years) evaluated for thyroid nodules from January 2023 to June 2024 at a tertiary academic medical center. Nodules were stratified using TI-RADS, Bethesda, and molecular testing. Malignancy was confirmed by final surgical pathology, and positive predictive value was assessed within diagnostic strata among resected nodules. Results: A total of 308 patients (421 nodules) were included in the analytic cohort, with 29.2% being Hispanic. Mean age was 54.3 ± 15.4 years in Hispanic patients and 58.8 ± 16.1 years in non-Hispanic patients ( Conclusion: Despite similar use of diagnostic tools, Hispanic patients had higher malignancy rates overall and within select diagnostic strata. These findings suggest variation in risk estimate performance across populations and support multicenter validation in diverse cohorts.

Indexed as

Bethesdafine-needle aspirationmolecular testingthyroid nodulesTI-RADS

Identifiers

PMID41971627
PMCPMC13069999

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.