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Record W4403896689 · doi:10.51731/cjht.2024.1013

Burosumab (Crysvita)

2024· article· en· W4403896689 on OpenAlexaboutno aff
CDA-AMC

Bibliographic record

VenueCanadian Journal of Health Technologies · 2024
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Canada’s Drug Agency recommends that Crysvita be reimbursed by public drug plans for the treatment of X-linked hypophosphatemia (XLH) in adult patients if certain conditions are met. The previous recommendation for Crysvita when initiated in pediatric patients who are at least 1 year of age and in whom epiphyseal closure has not yet occurred, continues to apply to those patients. Crysvita should only be covered to treat patients aged 18 years or older who have a diagnosis of XLH supported by classic clinical features of adult XLH and a confirmed PHEX gene variant, and who have not previously received it. Patients should also have a specific threshold for kidney function or reduced kidney function if it is confirmed not to be due to nephrocalcinosis, bone pain that is caused by XLH or osteomalacia, and have not had a sufficient response to conventional therapy (therapy with active vitamin D and oral phosphate). If a PHEX gene variant is not confirmed, XLH diagnosis can be confirmed with a serum intact fibroblast growth factor 23 (FGF23) level by a Kainos assay. Crysvita should only be reimbursed if it is prescribed by a physician who works in a comprehensive team of health care providers experienced in the diagnosis and management of XLH and if the cost of Crysvita is reduced. Reimbursement may be renewed on an annual basis for patients who do not meet any of the discontinuation criteria, which are the development of hyperparathyroidism, nephrocalcinosis, fasting hypophosphatemia, or fractures or pseudofractures based on X-ray.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.118
Threshold uncertainty score0.395

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1180.042

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 head0.031
GPT teacher head0.297
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

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