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Prophylaxis in haemophilia with inhibitors: update from international experience

2010· article· en· W2027256370 on OpenAlexaff
Manuel Carção, Thierry Lambert

Bibliographic record

VenueHaemophilia · 2010
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsMedicineHaemophiliaRecombinant factor VIIaHaemophilia APROTHROMBIN COMPLEXProthrombin complex concentrateFactor VIIaSurgeryIntensive care medicineInternal medicineCoagulationWarfarinTissue factor

Abstract

fetched live from OpenAlex

An antibody response to therapeutically administered factor VIII (FVIII) can occur in up to 30% of patients with haemophilia, resulting in the production of inhibitors that neutralize FVIII coagulant activity. Immune tolerance induction (ITI) therapy can be used to eradicate inhibitors in these patients, allowing them to continue with factor replacement therapy. Patients with inhibitors (prior to initiation of ITI, while on ITI or those who fail ITI) experience more difficulty in treating bleeds than those patients who do not develop inhibitors. Increasingly, prophylaxis with bypassing therapy is being employed in patients who develop inhibitors. Two bypassing agents, a plasma-derived activated prothrombin complex concentrate [aPCC (FEIBA; Baxter AG, Vienna, Austria)] and NovoSeven [recombinant factor VIIa (rFVIIa); NovoNordisk, Denmark] are potentially available for prophylaxis in patients with haemophilia who have developed inhibitors. Results from recent retrospective studies demonstrate the efficacy and safety of both aPCC and rFVIIa in decreasing the frequency of bleeding episodes in patients with haemophilia and inhibitors. In this article, we highlight a number of ongoing studies that aim to identify patients who should be placed on prophylaxis with bypassing agents.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.211
Threshold uncertainty score0.999

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.292
Teacher spread0.278 · 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.

Study designObservational
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

Citations36
Published2010
Admission routes1
Has abstractyes

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