Diagnosis of Acute Promyelocytic Leukemia After Presentation to Neuro-Ophthalmology
Bibliographic record
Abstract
BACKGROUND: Acute promyelocytic leukemia (APML) is a medical emergency that can initially present with neuro-ophthalmologic signs. Early recognition is crucial, and immediate treatment with all-trans retinoic acid (ATRA) and arsenic trioxide (ATO) can be life-saving. The goal of this study was to describe patients who first presented to neuro-ophthalmology and were subsequently diagnosed with APML. METHODS: We retrospectively reviewed consecutive patients seen at a tertiary neuro-ophthalmology centre. Patients with an unknown diagnosis of APML at presentation who subsequently went on to receive this diagnosis were included. Clinical characteristics, neuro-ophthalmologic findings, and outcome were retrieved. RESULTS: A total of 3 patients (2 women and 1 men) with a mean age of 30.7 (range 24-33) years were included in the study. Neuro-ophthalmologic diagnoses at presentation were severe hemorrhagic papilledema related to dural venous sinus thrombosis, hemorrhagic bilateral optic disc edema, and left homonymous hemianopia related to an occipital lobe hemorrhage. At diagnosis, the average hemoglobin was 83.7g/L (range 78-104), and the platelet count was 39.3 × 109/L (range 15-77). All patients were treated with ATRA and ATO. One patient developed papilledema and sixth nerve palsies related to this treatment, which resolved with acetazolamide. Clinical follow-up ranged from 6 to 12 months, and all patients were in clinical remission about systemic APML. CONCLUSION: Neuro-ophthalmologic symptoms may be the first manifestations of APML, and a complete blood count is an essential test in patients presenting with optic disc edema, especially if hemorrhagic.
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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) | 0.000 | 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) | 0.003 | 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".