ATYPICAL PROLIFERATIVE RETINOPATHY AS THE PRESENTING FEATURE OF CHRONIC MYELOID LEUKEMIA IN A PATIENT WITH DIABETES MELLITUS
Bibliographic record
Abstract
PURPOSE: To describe a case of proliferative retinopathy as the presenting manifestation of chronic myeloid leukemia in a patient with poorly controlled diabetes mellitus (DM). Undiagnosed chronic myeloid leukemia in a patient with pre-existing poorly controlled DM is rarely encountered but must be recognized to treat appropriately with systemic chemotherapy. Significant fundus finding overlaps with DM making the recognition of chronic myeloid leukemia challenging. METHODS: Case report. RESULTS: Fundoscopy revealed scattered dot-blot hemorrhages, venous beading, and numerous Roth spots in all quadrants, in both eyes. In the right eye, there was also a vitreous hemorrhage with evidence of neovascularization near the inferior arcade. Intravenous fluorescein angiography showed significant peripheral capillary nonperfusion without evidence of exudation in both eyes. No macular edema was observed on optical coherence tomography. A review of systems and physical examination was negative for constitutional symptoms, lymphadenopathy, organomegaly, and other symptoms. Retinal findings prompted a complete blood count, which revealed significant leukocytosis. A bone marrow biopsy confirmed a diagnosis of chronic myeloid leukemia. Systemic chemotherapy and pan-retinal photocoagulation successfully normalized the leukocyte count and resolved the vitreous hemorrhage and neovascularization. CONCLUSION: The presence of numerous Roth spots in all quadrants, extensive areas of capillary nonperfusion on intravenous fluorescein angiography, and neovascularization in the absence of exudation or macular edema should prompt investigations to rule out hematologic disorders.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.001 | 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".