Transfusion of Modified Blood Components for the Treatment of Autoimmune Hemolytic Anemia: A Network Meta-Analysis
Bibliographic record
Abstract
Aim: To evaluate the efficacy and safety of transfusing leukoreduced red blood cells (LRBCs) and/or washed RBCs (WRBCs) in treating adult patients with autoimmune hemolytic anemia. Materials & methods: Randomized control trials were included. Outcomes were response incidence, hematological parameters (HPs) and adverse event (AE) incidence. Results: 16 randomized control trials (n = 1061) were included. LRBC+WRBC yielded increased response incidence and improvements in HP compared with suspended RBCs (SRBCs). WRBCs improved HP while LRBCs only improved RBC count and total bilirubin. LRBCs and WRBCs both reduce AE incidences compared with SRBCs. Conclusion: Modified blood components may achieve increased response incidence and/or HP, as well as decreased AE compared with SRBCs.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.015 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".