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Record W2460147600 · doi:10.1111/hae.13005

Alternative therapies for the management of inhibitors

2016· article· en· W2460147600 on OpenAlexaff
Midori Shima, David Lillicrap, Rebecca Kruse‐Jarres

Bibliographic record

VenueHaemophilia · 2016
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsQueen's University
FundersNovo NordiskBiogenPfizerRocheBayerCSL Behring Foundation for Research and Advancement of Patient Health
KeywordsMedicineHaemophiliaHaemophilia AAntibodyImmunologyGene silencingImmune toleranceMechanism (biology)MutationRecombinant DNAMonoclonal antibodyTransfectionBioinformaticsImmune systemGeneGeneticsPediatricsBiology

Abstract

fetched live from OpenAlex

The development of inhibitors to factor VIII (FVIII) or factor IX (FIX) remains a major treatment complication encountered in the treatment of haemophilia. Not all patients with even the same severity and genotype develop inhibitors suggesting an underlying mechanism of tolerance against FVIII- or FIX-related immunity. One mechanism may be central tolerance observed in patients in whom the FVIII mutation enables some production of the protein. The other is a peripheral tolerance mechanism which may be evident in patients with null mutation. Recently, recombinant porcine FVIII (rpFVIII, Obixur, OBI-1, BAX801) has been developed for the haemostatic treatment of both congenital haemophilia with inhibitor (CHAWI) and acquired haemophilia A (AHA). In 28 subjects with AHA with life-/limb-threatening bleeding, rpFVIII reduced or stopped bleeding in all patients within 24 h. The cross-reactivity of anti-human FVIII antibodies to rpFVIII remains around 30-50%. Recently, new therapeutics based on the quite novel concepts have been developed and clinical studies are ongoing. These are humanized asymmetric antibody mimicking FVIIIa function by maintaining a suitable interaction between FIXa and FX (Emicizumab, ACE910), and small interfering RNAs (siRNA, ALN-AT3) suppress liver production of AT through post-transcriptional gene silencing and a humanized anti-TFPI monoclonal antibody (Concizumab). Their main advantages are longer half-life, subcutaneous applicability and efficacy irrespective of the presence of inhibitors which will make it easier to initiate more effective treatment especially early childhood.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.913
Threshold uncertainty score0.144

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.045
GPT teacher head0.331
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

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".

Quick stats

Citations23
Published2016
Admission routes1
Has abstractyes

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