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Record W2153224292 · doi:10.1097/ftd.0b013e318167909a

First Clinical Experience With the New Once-Daily Formulation of Tacrolimus

2008· review· en· W2153224292 on OpenAlexaboutno aff
M. Roy First

Bibliographic record

VenueTherapeutic Drug Monitoring · 2008
Typereview
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsnot available
FundersAstellas Pharma
KeywordsTacrolimusMedicineDosingTrough levelLiver transplantationRegimenCalcineurinKidney transplantationKidney transplantIntensive care medicineInternal medicineTransplantation

Abstract

fetched live from OpenAlex

Once-daily tacrolimus is a new oral formulation of the established immunosuppressive agent tacrolimus (Prograf, Astellas Pharma US, Inc., Deerfield, IL), which is administered twice daily. It has been approved in the European Union for prophylaxis of rejection in liver and kidney transplant recipients, where it is registered as Advagraf, and in Canada for the prophylaxis of rejection in kidney transplant recipients, and is currently under review in the United States and Japan. Studies with once-daily tacrolimus have been performed in de novo kidney and liver transplant recipients, and conversion studies have been performed in stable adult kidney and liver transplant recipients and stable pediatric liver transplant recipients, who were converted on an mg:mg basis from twice-daily tacrolimus to a single morning dose of the new formulation. Results of these studies have established the safety and efficacy of this once-daily dosing alternative. Therapeutic regimens for transplant recipients are often complex, contributing to a high incidence of medication noncompliance and its consequences of increased mortality and morbidity. The tacrolimus once-daily regimen may improve compliance while enabling the use of the same patient care strategies, total daily dose, target trough concentrations, and therapeutic monitoring techniques as currently used with the twice-a-day formulation of tacrolimus.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.980
Threshold uncertainty score0.649

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)0.0000.000

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 head0.128
GPT teacher head0.424
Teacher spread0.296 · 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 designOther design
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

Citations58
Published2008
Admission routes1
Has abstractyes

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