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Practice patterns in haemophilia A therapy – a survey of treatment centres in the United States

2003· article· en· W2096025830 on OpenAlexaff
Regina B. Butler, W. E. McClure, Karen Wulff

Bibliographic record

VenueHaemophilia · 2003
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsUniversity of Alberta HospitalAlberta Hospital Edmonton
FundersCenters for Disease Control and Prevention
KeywordsMedicineHaemophiliaPediatricsHaemophilia APopulationRegimenHaemophilia BFamily medicineSurgeryEnvironmental health

Abstract

fetched live from OpenAlex

A survey was conducted to ascertain practice patterns for haemophilia A therapy in the United States. Questionnaire data were supplied by 52 haemophilia centres with a total of 4129 patients under treatment. Most participating centres were affiliated with academic/teaching hospitals or institutions. Patients below 5 years comprised 17% of the study population, 6-18 years 41% and >18 years 42%, and the apportionment across severity categories was 53% severe, 17% moderate and 30% mild. Among patients with severe haemophilia, 49% were receiving on-demand treatment, while 44% were receiving some form of prophylaxis (13% primary, 20% secondary and 11% tertiary). Primary prophylaxis was the most common type in children below 5 years of age, accounting for 25% of this age group. In children 6-18 years old, 58% were on some type of prophylactic regimen, while on-demand treatment was most frequent among adults. Difficulties of venous access were the most frequently cited barrier to instituting prophylaxis. Catheters were in use among 37% of the patients under primary prophylaxis and 14% of those on secondary prophylaxis. No major differences were observed in forms of therapy used between larger and smaller centres. These observations provide an extensive characterization of haemophilia A practice patterns in the United States.

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 score0.021
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.087
GPT teacher head0.365
Teacher spread0.278 · 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

Citations36
Published2003
Admission routes1
Has abstractyes

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