Red cell transfusion thresholds in outpatients with myelodysplastic syndromes: results of a pilot randomised trial RBC-ENHANCE and a combined analyses with REDDS
Bibliographic record
Abstract
Abstract The optimal hemoglobin (HgB) threshold for red blood cell transfusions in adult patients with myelodysplastic syndromes (MDS) has not been defined. We conducted a randomized multi-center study of two transfusion algorithms (liberal, to maintain Hgb 110-120 g/L, versus restrictive, 85-105 g/L) and combined our findings from RBC-ENHANCE with those of REDDS a previously published study of similar design. Primary objectives were measures of compliance to transfusion thresholds and the achievement of a 15 g/L difference in pre-transfusion Hgb. Secondary outcomes included measures of QOL, iron studies and safety. 66 patients were randomized between February 2015-2020, 33 to each arm in 15 international participating sites. The compliance was 58% and 81% in the restrictive and liberal arms respectively and the mean pre-transfusion Hgb thresholds for restrictive and liberal arms were 85.9 (SD 9) and 98.8 g/L (SD 9). Patients in the liberal arms experienced a mean of 3.4 (SD 2.6) more transfusion visits and received a mean of 5.3 (SD 5.5) extra units of blood during the 12-week study. Selected QOL scores were superior pre-transfusion and more patients achieved clinically important differences in the liberal arm. Further data are needed to establish the feasibility of liberal transfusion policies in MDS outpatients. Trial Registration: REDDS: ISRCTN26088319 RBC-ENHANCE: NCT 02099669
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".