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New and emerging therapies for women, girls, and people with the potential to menstruate with VWD

2023· article· en· W4388688064 on OpenAlexaff
Caterina Casari, Jennifer Leung, Paula James

Bibliographic record

VenueBlood Advances · 2023
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsQueen's University
FundersCSL Behring
KeywordsDesmopressinVon Willebrand factorMedicineVon Willebrand diseaseMenstrual bleedingClinical trialIntensive care medicinePediatricsGynecologyImmunologyInternal medicinePlatelet

Abstract

fetched live from OpenAlex

Innovation in therapies for patients with von Willebrand disease (VWD) has lagged far behind that for hemophilia, creating inequity in the bleeding disorder community. Although currently existing treatments of antifibrinolytics, desmopressin, and plasma-derived von Willebrand factor replacement are considered effective, multiple studies report poor quality of life in patients with VWD, especially those with heavy menstrual bleeding (HMB). This disconnect underscores the need for novel therapies that are safe and effective and that consider a patient's specific contraceptive and reproductive needs. Recombinant von Willebrand factor is the most recent new therapy for VWD; the data specific to women are reviewed. We also present emerging data on emicizumab for the treatment of VWD, BT200 (rondoraptivon pegol), generalized hemostatic therapies (VGA039 and HMB-011), as well as treatments based on nanotechnology (platelet-inspired nanoparticles and KB-V13A12). We are optimistic as we move toward pivotal clinical trials for these elegant and innovative treatments.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.666
Threshold uncertainty score0.203

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 integrity0.0000.000
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 head0.005
GPT teacher head0.239
Teacher spread0.234 · 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

Citations14
Published2023
Admission routes1
Has abstractyes

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