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Record W2025388676 · doi:10.1159/000187568

Pharmacoeconomic Comparison of Cyclosporine Oral Solution and Capsules after Kidney Transplantation

2008· article· en· W2025388676 on OpenAlexaff
Henry Gault, L. Longerich, Eli G. Vey, Elizabeth Evans

Bibliographic record

Venue˜The œNephron journals/Nephron journals · 2008
Typearticle
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineUrologyCreatinineTransplantationKidneyNephrologySignificant differenceSurgeryInternal medicine

Abstract

fetched live from OpenAlex

We studied 20 kidney transplant recipients who had received Sandimmune cyclosporine A (CSA) capsules for an average of 7.9 months at a mean dose of 312 mg/day. They were switched to CSA liquid in the same dosage for an average of 15.5 months. There was no significant difference between the means for the monthly values of either serum creatinine or whole blood CSA when the periods on capsules and liquid were compared. Fourteen bottles from 4 batches with volume stated as 50 ml CSA actually contained an average of 53.7 ml. Comparison of the amount of capsules and liquid CSA prescribed and the amount dispensed by the pharmacy showed that the amount neglected (prescribed > dispensed) was similar for patients on liquid and capsules. Wastage (prescribed < dispensed) was about 5% greater when on liquid, and as our cost for liquid was 18% less than for capsules, we saved about 13% by use of the liquid.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.049
GPT teacher head0.348
Teacher spread0.299 · 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 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

Citations2
Published2008
Admission routes1
Has abstractyes

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