Cenegermin for the treatment of dry eye disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Dry eye disease (DED) is the most common ocular surface disorder affecting millions of people worldwide. Due to its chronic nature, the management of DED still represents a challenge in the ophthalmic practice. Nerve growth factor (NGF), which is expressed along with its high-affinity TrkA receptor on the ocular surface complex, has been widely studied for the treatment of neurotrophic keratopathy, and a novel recombinant human NGF (rhNGF) has recently received full market authorization in this setting. Since NGF has shown in both in vitro and in vivo studies to promote corneal healing, to enhance conjunctival epithelium differentiation and mucin secretion, and to stimulate tear film production and functionality, it could provide potential benefits also in patients with DED. A recent phase II clinical trial has assessed the role of rhNGF in DED patients, demonstrating significant improvements of DED signs and symptoms after 4 weeks of treatment. Further clinical evidence will be provided by the 2 ongoing phase III clinical trials. This review aims at comprehensively illustrating the rationale of use along with the efficacy and safety profile of topical NGF in patients with DED.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it