Clinical relevance of the HLA system in blood transfusion
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it