Three‐Week Thyroxine Withdrawal: A Thyroid‐Specific Quality of Life Study
Bibliographic record
Abstract
OBJECTIVES/HYPOTHESIS: The purpose of this study is to determine the impact of a 3-week T4 withdrawal test on the quality of life (QOL) of patients undergoing investigation for residual/recurrent well-differentiated thyroid cancer. STUDY DESIGN: Prospective survey study. METHODS: 181 patients with well-differentiated thyroid cancer were surveyed using a thyroid-specific QOL-thyroid survey at three times throughout the study: prior to T4 withdrawal, after the 3-week withdrawal period, and 4 weeks after resuming T3/T4 combination therapy. RESULTS: A very small, though statistically significant, reduction was observed in the four domains of QOL defined by the QOL-thyroid survey from baseline values to 3 weeks after T4 withdrawal. The maximal difference was 2.04 (fatigue), out of a possible 10 point score, in the physical well-being category. CONCLUSIONS: The thyroid-specific QOL questionnaire demonstrates a statistically significant though very small and probably not clinically significant reduction in the QOL of thyroid cancer patients undergoing an induced 3-week hypothyroid state. Three-week T4 withdrawal is a simple, cost-effective, and readily available test.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".