A Game of Clones: The Complex Interplay of Aplastic Anaemia, Myelodysplastic Syndrome, and Paroxysmal Nocturnal Haemoglobinuria
Bibliographic record
Abstract
Although idiopathic aplastic anaemia (AA), myelodysplastic syndrome (MDS), and paroxysmal nocturnal haemoglobinuria (PNH) are all associated with bone marrow failure, they have traditionally been understood as distinct diseases with sharply contrasting pathophysiologies. These three disorders show considerable overlap. In 10% of cases of MDS the bone marrow is hypocellular, resembling AA, while glycophosphatidylinositol-deficient PNH cells can be detected in up to 5% of MDS and in >50% of AA patients. Results of recent studies offer a resolution to this overlap: MDS pathogenesis commonly has an autoimmune component and clonal haematopoiesis can be demonstrated in most cases of AA. Two explanations have arisen to explain the association of PNH with these disorders. It is hypothesised that PNH haematopoietic stem cells are relatively resistant to T cell attack and therefore have a competitive advantage in this context. Alternatively, it has been demonstrated that mutations associated with MDS are commonly present in PNH stem cells; such mutations could provide the PNH clone with an autonomous growth advantage. The authors suggest that these mechanisms may be necessary for the development of PNH in all cases, even when PNH occurs in the absence of MDS or AA. Finally, identification of a PNH clone is a predictive and prognostic biomarker in AA and MDS, adding important information for treatment and follow-up.
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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 | 0.001 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".