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 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 | 0.000 |
| 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) | 0.001 | 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 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".