Clinical relevance of the HLA system in blood transfusion
Bibliographic record
Abstract
HLA alloimmunization induced by pregnancy, multiple transfusions or transplantation is responsible for some of the serious complications seen in patients receiving blood and blood products. These complications are primarily the result of antibody and antigen triggering an acute immunological reaction, which in some cases can be fatal e.g. TRALI. Some adverse reactions are triggered by HLA antibodies present in the patient whereas others are initiated by antibodies or HLA reactive cells present in the transfused product. The introduction of universal leucodepletion for the prevention of vCJD transmission has resulted in a significant reduction in these reactions by eliminating the main source of alloimmunization, but residual cellular components or platelets are still able to activate the immune system and induce the development of HLA reactive antibodies or T cells. However, the use of more sensitive and specific techniques to detect HLA antibodies and antigens has not only improved the investigation of transfusion reactions and their subsequent diagnosis, but it has also facilitated the implementation of a number of measures such as the use of HLA antibody negative products to further reduce their development.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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) | 0.003 | 0.001 |
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".