Efficacy of I-131 Treatment Dosage for Hyperthyroidism With Current Institution Formula
Bibliographic record
Abstract
Background: I-131 (radioactive iodine (RAI)) therapy effectively targets overactivity of the thyroid gland; however, the literature provides conflicting outcomes regarding dosage optimization of I-131 for patients with hyperthyroidism and associated clinical complications. This retrospective study aimed to validate the therapeutic efficacy of an empirically derived I-131 institution formula in resolving hyperthyroidism by establishing a euthyroid or hypothyroid state. Methods: This retrospective chart review was undertaken for 89 adult patients (> 18 years) who received I-131 therapy from 2016 to 2020 at H&H/Queens, New York. The I-131 dose range was determined in accordance with their thyroid gland weight and thyroid uptake percentages; however, the follow-up assessment was performed for a duration of 6 - 12 months. IRB approval with reference HS-STUDY-21-01760 was obtained. All the subjects consented using a written consent document in a private room. All the patient’s data are stored confidentially in a password-protected computer, which is accessible only to the study group. The primary endpoint (i.e., treatment success) was defined by the interim development of a euthyroid state, hypothyroidism, subclinical/questionable/suspected hypothyroidism, or a questionable euthyroid state. The secondary endpoints included the frequency of repeat RAI doses and post-ablation thyroid function tests (TFTs). Results: The univariate and multivariate analysis of patient data indicated an 83% I-131 treatment success rate defined by the achievement of a euthyroid state and hypothyroidism in 6.7% and 70.8% of patients, along with the attainment of questionable euthyroid status, questionable hypothyroidism, subclinical hypothyroidism, and suspected hypothyroidism in 1.1%, 1.1%, 2.2%, and 1.1% of patients, respectively. In addition, a low number (i.e., 9%) of patients with hyperthyroidism required repeat I-131 treatment dosages to achieve a hypothyroid or euthyroid state. The results indicated a clinically significant impact of I-131 treatment dosages on post-ablation thyroid-stimulating hormone (TSH), triiodothyronine (T3), and free thyroxin (FT4) levels. Conclusion: The results of this study testified to the therapeutic efficacy of the current institution’s formula for I-131 treatment dosages in treating hyperthyroidism. In addition, 83% treatment success and a low retreatment requirement strengthened current evidence favoring the optimization of RAI therapy for hyperthyroidism. J Endocrinol Metab. 2023;13(2):49-56 doi: https://doi.org/10.14740/jem874
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".