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Record W3003383873 · doi:10.2427/13247

New opportunities in Haemophilia treatment: Efmoroctocog Alfa for patients with Haemophilia A

2022· article· en· W3003383873 on OpenAlexaff
Giovanna Elisa Calabrò, Giancarlo Castaman, Giovanni Di Minno, Silvia Coretti, Filippo Rumi, Jovana Stojanovic, Darío Sacchini, Carlo Favaretti, Americo Cicchetti

Bibliographic record

VenueEpidemiology Biostatistics and Public Health · 2022
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsConcordia University
FundersSwedish Orphan Biovitrum
KeywordsHaemophiliaHaemophilia AMedicineQuality of life (healthcare)Recombinant DNAIntensive care medicineInternal medicinePediatricsNursingBiology

Abstract

fetched live from OpenAlex


 Recently new opportunities are emerging for improving the way patients with Haemophilia A are treated. Among these opportunities, efmoroctocog alfa is a first-in-class recombinant factor VIII-Fc fusion protein (rFVIIIFc) produced by recombinant DNA technology with an extended half-life compared with conventional FVIII preparations. The available evidence coming from an Italian HTA report indicates that efmoroctocog alfa provides an effective alternative to conventional FVIII preparations (including standard rFVIIIs) for the management of Haemophilia A. Moreover, by reducing the frequency of injections required, it has the potential to reduce treatment burden, and hence improve adherence to prophylaxis and patient Quality-of-Life. 

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score0.808

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.199
GPT teacher head0.390
Teacher spread0.191 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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