Development and validation of a nomogram prediction model for factors influencing 131I-refractory Graves’ hyperthyroidism

This study found that the duration of GD hyperthyroidism, nighttime sleep quality, GO, effective half-life of thyroid <sup>131</sup>I, thyroid uptake <sup>99m</sup>Tc value, and thyroid mass are independent influencing factors of <sup>131</sup>I refractoriness. A risk prediction model including these six factors was established. This model provides guidance for the diagnosis and treatment decisions of <sup>131</sup>I refractory GD hyperthyroidism, offers a quantitative tool for clinical assessment of <sup>131</sup>I efficacy, and aids in personalized treatment decisions, reducing the burden of ineffective or inefficient treatments.

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Publication Details

Journal
Frontiers in Endocrinology
Published
2025-08-13
DOI
https://doi.org/10.3389/fendo.2025.1628226
Citations
1
Primary Topic
Thyroid Disorders and Treatments
Type
article
Field-Weighted Citation Impact
1.29
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article

Development and validation of a nomogram prediction model for factors influencing 131I-refractory Graves’ hyperthyroidism

Kehua Liao, Dan Meng, Shaobo Mo, Fahuan Song et al.
1 citations
Frontiers in Endocrinology
Thyroid Disorders and Treatments
1.29
article

Development and validation of a nomogram prediction model for factors influencing 131I-refractory Graves’ hyperthyroidism

Kehua Liao, Dan Meng, Shaobo Mo, Fahuan Song, Wentan Huang, Lu Lu, Zeyong Sun, Xiaojuan Wei, Yan Chen
article en
1 citations

Abstract

This study found that the duration of GD hyperthyroidism, nighttime sleep quality, GO, effective half-life of thyroid <sup>131</sup>I, thyroid uptake <sup>99m</sup>Tc value, and thyroid mass are independent influencing factors of <sup>131</sup>I refractoriness. A risk prediction model including these six factors was established. This model provides guidance for the diagnosis and treatment decisions of <sup>131</sup>I refractory GD hyperthyroidism, offers a quantitative tool for clinical assessment of <sup>131</sup>I efficacy, and aids in personalized treatment decisions, reducing the burden of ineffective or inefficient treatments.

Frontiers in EndocrinologyVol. 16
The People's Hospital of Guangxi Zhuang Autonomous Region (CN)
Openalex Percentile: Top 16%
Thyroid Disorders and Treatments
1.29
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Development and validation of a nomogram prediction model for factors influencing 131I-refractory Graves’ hyperthyroidism — Kehua Liao, Dan Meng, et al. · Frontiers in Endocrinology (2025) | TGRS Research Map | TGRS