Bibliographic record
Abstract
Erythropoietin (EPO) is the primary regulator of red blood cell (RBC) production, and hypoxia is the main stimulus for EPO secretion. Increases in circulating levels of EPO are proportionate to the levels of tissue hypoxia, which are influenced by hematocrit (HCT). Small decreases in HCT as would be typical after presurgical autologous blood donation often do not result in increased EPO levels or in compensatory erythropoiesis. Erythropoiesis may also be limited by deficiencies of vitamin B(12), folate, and, most commonly, iron. The preoperative administration of EPO is effective in increasing erythrocyte mass and autologous donation volumes while maintaining higher HCT levels. In some surgical populations, particularly those individuals who experience surgical blood losses in excess of 2 L, EPO treatment also reduces allogeneic blood exposure. This effect is prominent in patients with a low initial HCT. Current assessments of the cost-effectiveness of EPO suggest that it achieves little overall improvement in patient health and that what improvement it does offer, it does at enormous cost.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".