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Preoperative serum lipids as novel predictors for concomitant thyroid carcinoma in Graves' disease.

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PeerJ 📖 저널 OA 100% 2023: 7/7 OA 2024: 11/11 OA 2025: 52/52 OA 2026: 44/44 OA 2023~2026 2025 Vol.13() p. e19915
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출처

PICO 자동 추출 (휴리스틱, conf 3/4)

유사 논문
P · Population 대상 환자/모집단
512 patients with GD who underwent surgical procedures at our institution between 2015 and 2024.
I · Intervention 중재 / 시술
surgical procedures at our institution between 2015 and 2024
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSIONS] Our study presents initial findings suggesting that elevated TAG levels, reduced HDL cholesterol levels, and overweight status are individually linked to the incidence of thyroid carcinoma in patients with GD. These results indicate that preoperative serum lipid profiles and BMI can serve as valuable predictors for the occurrence of thyroid carcinoma in this patient population.

Gao X, Liu M, Wu Y

📝 환자 설명용 한 줄

[BACKGROUND] The occurrence of thyroid carcinoma in patients with Graves' disease (GD) has been rising recently.

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↓ .bib ↓ .ris
APA Gao X, Liu M, Wu Y (2025). Preoperative serum lipids as novel predictors for concomitant thyroid carcinoma in Graves' disease.. PeerJ, 13, e19915. https://doi.org/10.7717/peerj.19915
MLA Gao X, et al.. "Preoperative serum lipids as novel predictors for concomitant thyroid carcinoma in Graves' disease.." PeerJ, vol. 13, 2025, pp. e19915.
PMID 40895039 ↗
DOI 10.7717/peerj.19915

Abstract

[BACKGROUND] The occurrence of thyroid carcinoma in patients with Graves' disease (GD) has been rising recently. However, the linkage between lipids and the incidence of thyroid carcinoma among GD patients is still not well-established.

[OBJECTIVE] The research aims to explore the relationship between serum lipid concentrations and the occurrence of thyroid cancer in patients diagnosed with GD.

[METHODS] We conducted a retrospective analysis of data from 512 patients with GD who underwent surgical procedures at our institution between 2015 and 2024. Our study focused on examining the correlations between various patient characteristics and the occurrence of thyroid cancer. Logistic regression models were developed to analyze the predictive factors. Ultimately, we constructed a predictive nomogram to estimate the potential of thyroid cancer in GD patients.

[RESULTS] Among the 512 patients with GD, 299 patients were pathologically confirmed as differentiated thyroid carcinoma (DTC) (58.4%). Multivariate analysis revealed that high triglyceride (TAG > 1.185 mmol/L), low high-density lipoprotein (HDL < 1.325 mmol/L), and overweight (body mass index (BMI) ≥ 25) were risk factors for malignancy. In addition, ultrasound characteristics, including nodules in the thyroid, aspect ratio imbalance, hypoechogenicity, irregular borders, and microcalcifications, were risk factors for malignancy. The predictive nomogram demonstrated significant clinical utility, exhibiting an area under the curve (AUC) of 0.91 (95% CI [0.88-0.94]) and 0.91 (95% CI [0.87-0.96]) in the training set and validation set. Moreover, a high level of TAG was a risk factor for central lymph node metastasis and high AJCC staging in GD patients with thyroid carcinoma.

[CONCLUSIONS] Our study presents initial findings suggesting that elevated TAG levels, reduced HDL cholesterol levels, and overweight status are individually linked to the incidence of thyroid carcinoma in patients with GD. These results indicate that preoperative serum lipid profiles and BMI can serve as valuable predictors for the occurrence of thyroid carcinoma in this patient population.

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