ArticleBioscience reports2020
Predictive factors for the outcomes of Graves' disease patients with radioactive iodine (131I) treatment.
Article in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 27 citations in OpenAlex.
- Article
- Predictive factors for the efficacy of radioiodine therapy in patients with Graves' disease.Nuclear medicine communications · 2025Article
- The correlation between high sensitivity C-reactive protein and hypothyroidism - A cross-sectional study.Journal of family medicine and primary care · 2025Article
- A prognostic nomogram model for non-complete remission following initial radioiodine therapy in Graves' hyperthyroidism.Frontiers in endocrinology · 2025Article
- Development and validation of a nomogram prediction model for factors influencingFrontiers in endocrinology · 2025Article
- Evaluation of ultrasound accuracy in thyroid mass measurement and its impact onFrontiers in endocrinology · 2025Article
- Prediction of total iodine dose of I-131 therapy for Graves' hyperthyroidism achieved remission status: a random forest regressor model approach to assess treatment efficacy.Frontiers in endocrinology · 2025Article
- Impact of serum TRAb level changes on the efficacy ofFrontiers in endocrinology · 2025Article
- Ultrasound combined with Ki-67 to construct the prognostic model for radioactive iodine therapy outcomes in Graves' disease patients.Endocrine connections · 2024Article
- Predictive Factors for the Efficacy of Radioactive Iodine Treatment of Graves' Disease: An Experience From 613 Chinese Patients.International journal of endocrinology · 2024Article
- Nomogram construction and evaluation for predicting non-remission after a single radioactive iodine therapy for Graves' hyperthyroidism: a retrospective cohort study.Frontiers in endocrinology · 2024Article
- [Ultrasound combined with Ki67 detection for analyzing contributing factors of failure to cure and recurrence of hyperthyroidism in patients with Graves disease afterNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022Article
- [Value of thyroidNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022Article
- Machine learning identifies baseline clinical features that predict early hypothyroidism in patients with Graves' disease after radioiodine therapy.Endocrine connections · 2022Article
- Predictive Value of a Thyroid-Absorbed Dose with a Shorter Effective Half-Life on Efficacy in Graves Disease Patients Receiving Iodine-131 Therapy.Medical science monitor : international medical journal of experimental and clinical research · 2021Article
- Predictive factors for early hypothyroidism following the radioactive iodine therapy in Graves' disease patients.BMC endocrine disorders · 2020Article
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3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although radioactive iodine (131I) treatment (RIT) is recommended as the preferred option for patients with Graves' disease (GD), the predictive factors for its clinical outcomes are still unclear. In the present study, we aim to investigate the factors influencing the success rate of RIT treatment on primary GD with a calculated dose approach. The thyroid function (hyperthyroidism, euthyroidism or hypothyroidism) was evaluated at least 1 year after RIT, and its relationship with presenting clinical characteristics and pre-RIT parameters was analyzed in 45 patients retrospectively. After RIT, the remission rate was 62.2%, including 13 euthyroidism cases (28.9%) and 15 hypothyroidism cases (33.3%). We found no significant association between the types of thyroid function and age, gender, the 3-h radioactive iodine uptake (RAIU) prior to RIT, or radioactive iodine (131I) dosage. However, a variable 24-h RAIU > 46.31% was found associated with the success rate of RIT. The present study implied that a calculated dose approach for GD is effective, but high failure rates are expected in patients presenting poor 24-h RAIU, particularly those with 24-h RAIU below 46.31%.
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