Bibliographic record
Abstract
PURPOSE OF REVIEW: Orbital radiotherapy has been used for over 60 years to treat thyroid eye disease (TED) alone or in conjunction with glucocorticoids or orbital decompression surgery. However, numerous observational and randomized controlled trials have yielded conflicting results concerning its efficacy. This review highlights recent systematic reviews concerning the use of radiotherapy for TED. RECENT FINDINGS: Three recent systematic analyses have drawn different conclusions about its efficacy. This relates to the varied nature of the disease, the different selection criteria, and different outcome measures (often focussing on global indices or clinical activity scores rather than subjective quality of life scores and individual disease parameters as specified by the VISA Classification). SUMMARY: Radiotherapy should only be offered in the early active phase, is most effective in combination with glucocorticoids, and may have specific indications for dysthyroid optic neuropathy (DON), inflammatory periocular changes, or progressive motility disturbance. Future research may study its potential benefit in preventing or treating DON and compare the ability of combination radiotherapy/intravenous (i.v.) glucocorticoids versus i.v. glucocorticoids monotherapy for limiting complications from progressive TED.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".