LG-52THEOPHYLLINE IN VISION IMPAIRED CHILDREN WITH OPTIC PATHWAY GLIOMA
Bibliographic record
Abstract
PURPOSE: Preclinical models suggest that phosphodiesterase inhibitors may slow or prevent axonal damage to the optic nerve in mice with visual pathway glioma likely through elevation of cAMP. A feasibility study was performed to evaluate the safety and efficacy of theophylline in vision impaired children with optic pathway glioma (OPG) at risk of visual loss. METHODS: Patients were treated with theophylline for a planned duration of 12 months. Eight of the eleven patients received concurrent standard OPG chemotherapies. The initial theophylline dose was calculated based on ideal body mass and subsequently adjusted according to trough serum levels. The primary end point was safety, defined by grade 3-4 toxicity using the National Cancer Institute Common Toxicity Criteria version 4.0. Secondary end points included visual acuity response rate. RESULTS: Preliminary data analysis of eleven patients, with a median age of 9.2 years, treated with theophylline at the Hospital for Sick Children, Toronto between 2009 and 2015 is detailed here. After a mean duration of 10.5 months no grade 3-4 treatment related toxicities were identified. Of the three patients who discontinued therapy prematurely two experienced grade 1 toxicities. Three of eleven patients studied showed improvements in binocular vision whilst on theophylline therapy with a further three patients showing stabilization of vision. CONCLUSIONS: Combining theophylline with standard chemotherapies for OPG in children is safe and feasible. In a proportion of patients with progressive visual decline despite prior chemotherapy theophylline enabled stabilization or improvement in visual acuity. Phase III proof of efficacy trials are warranted.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".