Bibliographic record
Abstract
Extracorporeal immunoadsorption of factor VIII (FVIII) antibodies using Sepharose matrix columns coupled with staphylococcal Protein-A was reported two decades ago. The efficiency of this technique for removing FVIII antibodies of the IgG subtypes was clearly demonstrated. The recent widespread use of a variety of apheresis techniques for the management of a multitude of haematological and oncological conditions has made this technology more accessible and affordable. For the treatment of patients with FVIII inhibitors, the use of porcine FVIII makes it possible to control haemostasis with a therapeutic product for which in vitro testing can help predict the in vivo efficacy. By lowering the level of FVIII inhibitors, immunoadsorption can make the use of pFVIII concentrate possible in situations otherwise untreatable with FVIII preparations. Moreover, lowering the level of FVIII inhibitors by immunoadsorption allows adequate haemostasis to be achieved with much lower doses of FVIII leading to significant saving. Our preliminary data suggest that immunoadsorption combined with the use of pFVIII should be considered early in the treatment plan for controlling haemostasis in patients with FVIII inhibitors.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".