Comparisons of thyroid hormone withdrawal and rhTSH aided 1850 MBq and 3700 MBq radio iodine (RAI) post-surgical remnant ablation in differentiated thyroid cancer (DTC)
Bibliographic record
Abstract
206 Objectives To compare the successful thyroid remnant ablation rate of 1850 MBq and 3700 MBq 131I prepared with thyroid hormone withdrawal (THW) and recombinant human thyroid stimulating hormone (rhTSH) in patients with DTC. Methods 732 DTC patients after total/near total thyroidectomy were consecutively assigned to the 3 treatment groups: in the 1st group, patients (n =218) were ablated with 1850 MBq RAI after THW; in the 2nd group, patients (n =141) were ablated with 3700 MBq RAI after THW; in the 3rd group, patients (n =373) were ablated with 1850 MBq RAI after rhTSH. The outcome of thyroid remnant ablation was retrospectively compared by conventional 131I scan and/or serum thyroglobulin (Tg) in the absence of Tg-antibody performed under TSH stimulation 2-27 months after ablation. Results At the first follow-up, Tg Conclusions 1850 MBq RAI after THW or rhTSH is equally effective as 3700 MBq after THW for thyroid remnant ablation in DTC patients. 1850 MBq RAI under rhTSH is recommend for post-surgical ablation and is safe, effective and avoids hypothyroidism. Research Support Alberta Cancer Foundation, Canada Foundation for Innovatio
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".