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Record W2138532660 · doi:10.1111/hae.12405

Changing paradigm of prophylaxis with longer acting factor concentrates

2014· review· en· W2138532660 on OpenAlexaff
Manuel Carção

Bibliographic record

VenueHaemophilia · 2014
Typereview
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsInstitute for Clinical Evaluative SciencesSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsMedicineHaemophiliaIntensive care medicineHaemophilia BHaemophilia AFactor IXLicensureSurgeryNursingInternal medicine

Abstract

fetched live from OpenAlex

Beginning in the 1960s the care of persons with haemophilia began to improve dramatically through a series of transformative improvements in care: development of lyophilized factor concentrates, home care programmes, prophylaxis and (due to the tragedy of HIV/hepatitis) the development of virally safer plasma-derived and recombinant factor concentrates. Prophylaxis, if commenced early and given in sufficient dose/frequency has been shown to allow persons with haemophilia to maintain excellent joints and lead normal lives. Yet the relatively short half-lives of factor (F) VIII and IX concentrates leads to the need for frequent venous access. This remains a significant burden for patients with haemophilia on prophylaxis causing in many cases reduced patient adherence to prophylaxis and negative longterm outcomes. The last 5 years have witnessed a flourish of new bioengineered longer acting FVIII and IX concentrates manufactured using different technologies (pegylation or fusion to Fc/albumin). These products (especially the longer acting FIX concentrates) are likely to have profound implications on prophylaxis. With these longer acting factor concentrates prophylaxis regimens will almost certainly change. This will involve changes in what trough levels are targeted and how frequently factor is administered. It is hoped that these changes may improve patients' adherence to prophylaxis and their quality of life. These long-acting factor concentrates will undoubtedly have cost repercussions and will raise important questions regarding how decisions about choosing one longer acting concentrate over another, and whether these products are interchangeable, are made. This article will review what changes may ensue with the advent of these new longer acting factor concentrates.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.950
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.072
GPT teacher head0.361
Teacher spread0.289 · 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 designOther design
Domainnot available
GenreReview

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

Citations69
Published2014
Admission routes1
Has abstractyes

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