Patients Previously Transfused or Treated with Epoetin Alfa at Low Baseline Hemoglobin Are at Higher Risk for Subsequent Transfusion: An Integrated Analysis of the Canadian Experience
Bibliographic record
Abstract
BACKGROUND: The introduction of recombinant human erythropoietin to the management of anemia in cancer patients has resulted in significant reductions in allogeneic blood transfusions, while at the same time contributing to improvements in quality of life. A recent meta-analysis of five randomized, placebo-controlled trials with patient-level data revealed that, while epoetin alfa was very effective in reducing transfusions compared with placebo, patients who were pretransfused were twice as likely to subsequently be transfused during epoetin alfa treatment. METHODS: To further assess the validity of this rather provocative concept, another integrated analysis was conducted with patient-level data from three Canadian trials, with a combined total of 665 patients receiving epoetin alfa treatments for their cancer- and chemotherapy-induced anemia. RESULTS: Once again, pretransfusion was the most significant baseline predictor of transfusion, with patients that were pretransfused having a significantly greater likelihood of being transfused than their transfusion-naive counterparts. Furthermore, and corroborating previous findings, baseline hemoglobin (Hb) level was again found to be a significant predictor of transfusion, with patients who were treated at a baseline Hb level < 10 g/dl having a higher chance of being transfused than patients in whom epoetin alfa was initiated at baseline Hb levels of 10-11 g/dl. In addition, when the total units transfused in patients receiving epoetin alfa at different baseline Hb levels were analyzed, >85% of the units of blood transfused were received by patients with baseline Hb levels < 10 g/dl. CONCLUSION: These data strongly suggest that early treatment with epoetin alfa could significantly optimize clinical benefit in reducing the use of transfusion in cancer patients receiving chemotherapy.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| 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 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".