Bibliographic record
Abstract
PURPOSE OF REVIEW: Congenital dyserythropoietic anemias (CDAs) are rare hereditary disorders characterized by ineffective erythropoiesis and by distinct morphological abnormalities of erythroblasts in the bone marrow. Characteristic morphological aberrations were the cornerstone of diagnosis, but following the identification of several causative genes, the molecular approach could represent a rapid tool for the identification of these conditions. This review presents advances in diagnosis and classification of CDAs. RECENT FINDINGS: The classification of CDAs has long been based on morphological features. Now, the discovery of some of the responsible genes allows reconsideration of part of the classification. The first CDA partly accounted for genetically has been CDA 1, through the discovery in 2002 of the gene responsible, CDAN1, encoding codanin-1. Recently, the dramatic identification of the genes responsible for CDA II, SEC23B, and for a hitherto unnamed CDA, KLF1, took place. SEC23B encodes SEC23B which is a component of the coated vesicles transiting from the endoplasmic reticulum to the cis compartment of the Golgi apparatus. A unique mutation in KLF1, which encodes the erythroid transcription factor KLF1, causes major ultrastructural abnormalities, the persistence of embryonic and fetal hemoglobins, and the absence of some red cell membrane proteins. SUMMARY: Studies of genotype-phenotype relationship, as has already been done for CDA II, will allow a more accurate prognosis. Identification of the responsible genes has opened new vistas for research on CDAs.
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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 | 0.001 |
| 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) | 0.007 | 0.003 |
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".