The Importance of Ocular, Systemic and Psychosocial Factors in the Management of the Diabetic Macular Oedema Patient with Antivascular Endothelial Growth Factor Therapy
Bibliographic record
Abstract
Acomprehensive list of patient features that influence the management of patients with diabetic macular oedema (DMO) is discussed. These features are grouped into three overarching themes: ocular, systemic and psychosocial. Consensus statements about the relative importance of these features, supported by the literature, were formed by a panel of retinal experts. The major drivers influencing the management of DMO with anti-vascular endothelial growth factor (anti-VEGF) therapy are undoubtedly ocular specific, in particular visual acuity and optical coherence tomography (OCT) central retinal thickness. Systemic factors, such as control of glycated haemoglobin (HbA 1c ), blood pressure and serum lipid estimations, have limited direct influence on DMO management although they remain important considerations to communicate to the primary diabetic physician. A greater understanding is required on how many other factors, in particular psychosocial factors, influence the care of the DMO patient.
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How this classification was reachedexpand
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) | 0.000 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".