ArticleFrontiers in endocrinology2022
Risk factors and diagnostic prediction models for papillary thyroid carcinoma.
Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Sociodemographic and clinical predictors of malignancy in thyroid nodules: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- The role of preoperative serum thyroglobulin in the diagnosis and treatment of differentiated thyroid cancer: a systematic review and meta-analysis.Frontiers in oncology · 2024Pooled it
- Insulin resistance factors associated with differentiated thyroid carcinoma and malignant cytology: serum thyroxine as an associated factor.Annals of medicine · 2025Observational
- The value of C-TIRADS combined with multidimensional indicators in the diagnosis of papillary thyroid carcinoma.Gland surgery · 2025Article
- External Validation of a Predictive Model for Thyroid Cancer Risk with Decision Curve Analysis.Diagnostics (Basel, Switzerland) · 2025Article
- Evaluating the Relationship between Cathepsins and Papillary Thyroid Carcinoma: A Mendelian Randomization Study.Endocrine, metabolic & immune disorders drug targets · 2025Article
- Incorporation of clinical features into a multivariate logistic regression model for the differential diagnosis of benign and malignant TI-RADS 4 thyroid nodules.Frontiers in endocrinology · 2025Article
- Establishment and validation of a multivariate logistic model for risk factors of thyroid nodules using lasso regression screening.Frontiers in endocrinology · 2024Article
- Analysis of risk factors for papillary thyroid carcinoma and the association with thyroid function indicators.Frontiers in endocrinology · 2024Article
- The Size of a Thyroid Nodule with ACR TI-RADS Does Not Provide a Better Prediction of the Nature of the Nodule: A Single-Center Retrospective Real-Life Observational Study.Healthcare (Basel, Switzerland) · 2023Article
- Do metabolic factors increase the risk of thyroid cancer? a Mendelian randomization study.Frontiers in endocrinology · 2023Article
- A risk prediction model for type 2 diabetes mellitus complicated with retinopathy based on machine learning and its application in health management.Frontiers in medicine · 2023Article
- Effect of liver dysfunction on outcome of radioactive iodine therapy for Graves' disease.BMC endocrine disorders · 2022Article
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8 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Thyroid nodules (TNs) represent a common scenario. More accurate pre-operative diagnosis of malignancy has become an overriding concern. This study incorporated demographic, serological, ultrasound, and biopsy data and aimed to compare a new diagnostic prediction model based on Back Propagation Neural Network (BPNN) with multivariate logistic regression model, to guide the decision of surgery. Records of 2,090 patients with TNs who underwent thyroid surgery were retrospectively reviewed. Multivariate logistic regression analysis indicated that Bethesda category (OR=1.90, P<0.001), TIRADS (OR=2.55, P<0.001), age (OR=0.97, P=0.002), nodule size (OR=0.53, P<0.001), and serum levels of Tg (OR=0.994, P=0.004) and HDL-C (OR=0.23, P=0.001) were statistically significant independent differentiators for patients with PTC and benign nodules. Both BPNN and regression models showed good accuracy in differentiating PTC from benign nodules (area under the curve [AUC], 0.948 and 0.924, respectively). Notably, the BPNN model showed a higher specificity (88.3% vs. 73.9%) and negative predictive value (83.7% vs. 45.8%) than the regression model, while the sensitivity (93.1% vs. 93.9%) was similar between two models. Stratified analysis based on Bethesda indeterminate cytology categories showed similar findings. Therefore, BPNN and regression models based on a combination of demographic, serological, ultrasound, and biopsy data, all of which were readily available in routine clinical practice, might help guide the decision of surgery for TNs.
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