Evidence map›Paper›PMID 40895039›Full record

ArticlePeerJ2025

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

Xingxing Gao, Mi Liu, Yijun Wu

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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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

3 authors.

Xingxing Gao *Department of Thyroid Surgery, The First Affiliated Hospital, Zhejiang University, Hangzhou, China.
Mi Liu *Center for Rehabilitation Medicine, Department of Anesthesiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.
Yijun WuDepartment of Thyroid Surgery, The First Affiliated Hospital, Zhejiang University, Hangzhou, China.ORCID 0000-0002-6966-744X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Graves DiseaseLipidsThyroid NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedNomogramsPreoperative PeriodRetrospective StudiesRisk FactorsTriglyceridesLipidsTriglyceridesBody mass indexGraves’ diseaseSerum lipidsThyroid carcinomaThyroidectomy

Identifiers

PMID40895039
PMCPMC12399084

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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 Socratic graph.