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Record W2254893726 · doi:10.1055/s-0035-1568877

Changing Paradigm of Hemophilia Management: Extended Half-Life Factor Concentrates and Gene Therapy

2016· review· en· W2254893726 on OpenAlexaff
Amy L. Dunn, Manuel Carção, Riten Kumar

Bibliographic record

VenueSeminars in Thrombosis and Hemostasis · 2016
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsLife expectancyMedicineClotting factorGenetic enhancementFactor IXIntensive care medicineQuality of life (healthcare)HaemophiliaHemarthrosisPediatricsSurgeryInternal medicineGeneGenetics

Abstract

fetched live from OpenAlex

Management of hemophilia has evolved significantly in the last century-from recognition of the causative mechanism in the 1950s to commercially available clotting factor concentrates in the 1960s. Availability of lyophilized concentrates in the 1970s set the stage for home-based therapy, followed by introduction of virally attenuated plasma-derived, and then recombinant factor concentrates in the 1980s and 1990s, respectively. The subsequent years saw a paradigm shift in treatment goals from on-demand therapy to prophylactic factor replacement starting at an early age, to prevent hemarthrosis becoming the standard of care for patients with severe hemophilia. In the developed world, the increasing use of home-based prophylactic regimens has significantly improved the quality of life, and life expectancy of patients with severe hemophilia. Seminal developments in the past 5 years, including the commercial availability of extended half-life factor concentrates and the publication of successful results of gene therapy for patients with hemophilia B, promise to further revolutionize hemophilia care over the next few decades. In this review, we summarize the evolution of management for hemophilia, with a focus on extended half-life factor concentrates and gene therapy.

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 score0.994
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.036
GPT teacher head0.355
Teacher spread0.319 · 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

Citations35
Published2016
Admission routes1
Has abstractyes

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