Prognosis in Acquired Aplastic Anemia
Bibliographic record
Abstract
To study prognostic factors 38 consecutive patients with aplastic anemia were evaluated until death or over a follow-up period of at least 4 years. A prognostic formula was devised by multivariate analysis for prediction of short-term survivors at diagnosis of aplastic anemia: Using the initial percentage of nonmyeloid cells in the marrow aspirate and the neutrophil count in peripheral blood, survival of less than 4 months is predicted with a probability of 89% (sensitivity 80%). The lowest blood counts during the course of the disease are useful to predict the outcome in more chronic courses of aplastic anemia: A reticulocytopenia below 5 X 10(9)/1, a neutropenia below 0.1 X 10(9)/1 or a thrombocytopenia below 5 X 10(9)/1 all resulted in an ultimate mortality of over 90%. However, if none of these threshold values were reached, a 4 year survival of 71% was observed. Thus, 5 X 10(9) reticulocytes/1, 0.1 X 10(9) neutrophils/1 and 5 X 10(9) platelets/1 form a group of risk factors to predict a fatal or favorable outcome throughout the course of the disease.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".