Evidence map›Paper›PMID 42747638›Full record

ArticleEndocrine2026

Validation of a thyroid malignancy risk calculator in a Portuguese cohort.

Beatriz Tavares da Silva, Liliana Fonseca, Cláudia Freitas, André Carvalho

Abstract readValidation Study
PubMed Publisher
In one paragraph

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

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Beatriz Tavares da SilvaDivision of Endocrinology, Unidade Local de Saúde de Santo António, Centro Hospitalar Universitário de Santo António, Porto, Portugal. u14484@chporto.min-saude.pt.ORCID 0009-0007-0035-8538
Liliana FonsecaDivision of Endocrinology, Unidade Local de Saúde de Santo António, Centro Hospitalar Universitário de Santo António, Porto, Portugal.ORCID 0000-0002-3318-8308
Cláudia FreitasDivision of Endocrinology, Unidade Local de Saúde de Santo António, Centro Hospitalar Universitário de Santo António, Porto, Portugal.ORCID 0000-0001-7457-2587
André CarvalhoDivision of Endocrinology, Unidade Local de Saúde de Santo António, Centro Hospitalar Universitário de Santo António, Porto, Portugal.ORCID 0000-0001-5757-9429

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe Carral et al. calculator integrates clinical, laboratory and ultrasound variables to estimate thyroid malignancy risk. We independently evaluated its performance in a Portuguese surgical cohort.

methodsWe conducted a retrospective study including patients who underwent total thyroidectomy between 2021 and 2023. For patients with multiple nodules, the calculator was applied to the index nodule, defined as the one with the highest EU-TIRADS score or, when equal, the largest diameter. Original predicted probabilities were compared with histopathology. Discrimination was assessed by area under the receiver operating characteristic curve (AUC); calibration by plot, Hosmer-Lemeshow test, intercept and slope.

resultsAmong 153 patients (mean age 52.1 ± 12.6 years; 86.3% female), 32 (20.9%) had differentiated thyroid carcinoma. Median predicted risk was 37.7% (IQR 21.8-58.6%) in malignant and 1.56% (IQR 0.37-6.2%) in benign nodules (p < 0.001). AUC was 0.877 (95% CI 0.82-0.93). Calibration was imperfect (Hosmer-Lemeshow p = 0.28; intercept 0.85, 95% CI 0.51-1.23; slope 0.78, 95% CI 0.63-0.91). At the 9.2% Youden threshold, sensitivity, specificity, positive predictive value and negative predictive value were 75.0%, 84.3%, 55.8% and 92.7%, respectively. Subgroup analyses were exploratory.

conclusionsThe calculator showed excellent discrimination but imperfect calibration in this selected surgical cohort. Prospective validation and clinical-impact assessment in unselected populations are required before it is used to alter fine-needle aspiration decisions.

Indexed as

Thyroid NeoplasmsThyroid NoduleAdultCohort StudiesFemaleHumansMaleMiddle AgedPortugalRetrospective StudiesRisk AssessmentThyroidectomyCalibrationEU-TIRADSExternal validationRisk predictionThyroid cancerThyroid nodule

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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.