Subjective intermittent colour vision loss as the initial presentation of chronic myeloid leukemia
Bibliographic record
Abstract
PURPOSE: To report a case of subjective intermittent loss of bilateral colour vision and episodic white-out vision in a patient with undiagnosed chronic myeloid leukemia (CML). OBSERVATIONS: A patient initially diagnosed with diabetic retinopathy presented with a chief complaint of subjective intermittent loss of colour vision in both eyes, as well as intermittent bilateral white-out vision. These symptoms previously went uninvestigated until a thorough history revealed concurrent constitutional symptoms including recent night sweats and fevers. Closer fundus examination revealed that the lesions previously thought to be diabetic retinal hemorrhages were Roth spots. CONCLUSIONS AND IMPORTANCE: An unusual chief complaint of colour vision loss and multiple Roth spots in the context of chronic night sweats and fevers prompted further workup. A CBC with differential revealed a markedly increased WBC count and the patient was diagnosed with CML. Cytoreduction therapy led to complete resolution of the patient's visual symptoms and a return to normal WBC count at the most recent follow up appointment. We report, to our knowledge, the only case of colour vision loss as the initial presenting symptom of CML in the current literature, and reiterate the importance of a thorough history, neuro-ophthalmic examination and relevant investigations in patients with unusual visual symptoms, including intermittent loss of colour vision. In this case, we speculate that hyperviscosity syndrome secondary to CML was the cause of this patient's peculiar visual disturbance.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".