MétaCan
Menu
Back to cohort
Record W4412366402 · doi:10.1080/17474086.2025.2534704

Factor first! Emergency department management of persons with hemophilia: a single-center study

2025· article· en· W4412366402 on OpenAlexaffabout
Kelsey Uminski, Natalia Rydz, Dawn Goodyear

Bibliographic record

VenueExpert Review of Hematology · 2025
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsCanadian Blood ServicesUniversity of Calgary
Fundersnot available
KeywordsMedicineEmergency departmentGuidelinePsychological interventionEmergency medicineBleedQuality managementSingle CenterPediatricsMedical emergencyInternal medicineSurgeryManagement system

Abstract

fetched live from OpenAlex

BACKGROUND: Timely hemostatic therapy is essential when persons with hemophilia (PwH) present to the emergency department (ED), with guidelines recommending treatment at the time a bleed is suspected ('Factor First' strategy). RESEARCH DESIGN AND METHODS: This study examined ED management of PwH in Southern Alberta from 2014 to 2022, focusing on adherence to guidelines. RESULTS: A total of 393 ED visits from 191 adults with hemophilia A or B were identified. Most visits (86%) required emergent or urgent care. Median times from ED registration to ordering and administering hemostatic therapy were 2.9 and 4.2 hours, respectively, with treatment given within 2 hours in a minority of cases. Laboratory tests were ordered in nearly half of visits, with a median ordering time of 65 minutes. Use of individualized emergency management protocols increased over time, reaching 91.4% in 2022. Median ED stay was 3.4 hours, and approximately 25% of visits had a hemophilia-related admission diagnosis. CONCLUSIONS: These findings highlight persistent delays and nonadherence to best practice recommendations, emphasizing the need for targeted quality improvement interventions to ensure timely, guideline-concordant care for PwH in emergency settings.

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 score0.652
Threshold uncertainty score0.954

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)0.0010.000

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 head0.037
GPT teacher head0.366
Teacher spread0.329 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueExpert Review of HematologySame topicHemophilia Treatment and ResearchFrench-language works237,207