Thyroid surgery for treatment of Graves’ disease complicated by ophthalmopathy: a comprehensive review
Bibliographic record
Abstract
Graves' disease (GD) is an autoimmune disorder in which antibodies directed against thyroid-stimulating hormone receptors leads to thyrotoxicosis. Graves' ophthalmopathy, a condition that occurs in up to half of GD patients, is a cause of significant morbidity and is potentially vision threatening. Three treatment options are equally effective for uncomplicated GD and these include thyroid surgery (thyroidectomy), radioactive iodine thyroid ablation and antithyroid drugs. However, recent practice surveys suggest that surgery is the least favored GD treatment. When GD is complicated by moderate-to-severe Graves' ophthalmopathy, antithyroid drugs and surgery are recommended by current guidelines, and again the preference for thyroid surgery in these cases has remained low. This report aims to review current published data regarding thyroidectomy as a treatment for GD, and in particular, we focus on the effects of thyroidectomy on Graves' ophthalmopathy development and progression.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".