<i>JAK2</i> wild-type erythrocytosis: concept, differential diagnosis, diagnostic steps, and treatment approaches
Bibliographic record
Abstract
JAK2 unmutated/wild-type erythrocytosis is a prevalent condition encompassing a wide spectrum of hereditary and acquired entities. It is conventionally defined by the same hemoglobin/hematocrit thresholds as for polycythemia vera. Incidence has been reported to be between 0.13% and 4.1%. The most clinically relevant step in the workup of erythrocytosis is the exclusion of polycythemia vera through JAK2 mutation screening. Consideration of relative polycythemia, normal outliers, and the influence of erythropoietic drugs and comorbidities is also imperative. Distinguishing long-standing from newly acquired erythrocytosis further streamlines the diagnostic process. Hereditary erythrocytosis (HE) is lifelong and typically associated with a positive family history. Subnormal serum erythropoietin (EPO) suggests an EPO receptor mutation. Otherwise, oxygen tension at 50% hemoglobin saturation (p50) discerns between high oxygen-affinity hemoglobin variants, 3-bisphosphoglycerate deficiency, methemoglobinemia, and PIEZO1 mutations (low p50) and germline oxygen-sensing pathway/other rare mutations (normal p50). Acquired erythrocytosis results from hypoxia-driven factors (eg, cardiopulmonary, altitude, renal artery stenosis) and other mechanisms of EPO overproduction (eg, EPO-secreting tumors) or hypersensitivity, as well as EPO-independent mechanisms. Drugs (eg, sodium glucose co-transporter-2 inhibitors, testosterone) are also common causes. Idiopathic erythrocytosis is a diagnosis of exclusion, increasingly attributed to underlying genetic mutations/polymorphisms. There are currently no evidence-based treatment guidelines. Low-dose aspirin and/or phlebotomy (with frequency determined by symptom relief) might be considered on an individualized basis in the presence of hyperviscosity symptoms, cardiovascular comorbidities, and/or a history of thrombosis. Aggressive control of cardiovascular risk factors is recommended in all. A graphic abstract representation is provided in Figure 1.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| 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".