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Record W2124828164 · doi:10.3111/13696990802125760

Cost comparison of prostaglandin analogues: a Canadian population-based analysis

2008· article· en· W2124828164 on OpenAlexaffabout
Michaël Iskedjian, John H. Walker, Olivier Desjardins, David Covert, Thomas R. Einarson

Bibliographic record

VenueJournal of Medical Economics · 2008
Typearticle
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsUniversity of TorontoBrock UniversityPharmIdeas (Canada)
Fundersnot available
KeywordsTravoprostBimatoprostLatanoprostMedicinePharmacoeconomicsIndirect costsInternal medicineGlaucomaOphthalmologyIntensive care medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: Glaucoma is a fairly common disease, however, little is known about the costs associated with prostaglandin analogues (PAs). The costs between the three available PAs (Lumigan (bimatoprost), Xalatan (latanoprost) and Travatan (travoprost)) were compared as monotherapy and when adjunctive therapy was used. METHODS: From the Québec drug claims database, all patients who used these drugs for 1 full year were identified. From the Ministry of Health (MoH) perspective, the average cost for all reimbursed costs (drug costs and pharmacist fees) were calculated. Those costs plus the patient out-of-pocket copayments were used for the payer + user (PU) perspective. RESULTS: Data from 4,653 patients were analysed (3,606 on monotherapy and 1,047 on combination treatment with adjunctive therapy), 59.7% were females, and the average age was 72.6 +/- 10.4 years. MoH perspective costs were $410 +/- $167 for bimatoprost, $381 +/- $145 for latanoprost and $298 +/- $121 for travoprost (all differences p<0.001), for patients on monotherapy. Costs of combination treatment with adjunctive therapy were $786 +/- $416, $686 +/- $313, and $623 +/- $521, respectively (travoprost significantly lower than each of the other two p<0.001, others=not significant). Results from the PU perspective were comparable. CONCLUSIONS: Travoprost had the lowest cost, both as monotherapy and in conjunction with other glaucoma treatments. Further comparative pharmacoeconomic evaluation is warranted.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.035
GPT teacher head0.307
Teacher spread0.272 · 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

Citations1
Published2008
Admission routes2
Has abstractyes

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