Changing Paradigm of Hemophilia Management: Extended Half-Life Factor Concentrates and Gene Therapy
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".