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Record W2328791540 · doi:10.1097/ftd.0000000000000280

Evaluation of Limited Sampling Methods for Oral Busulfan Pharmacokinetic Monitoring in Adult Patients Undergoing Hematopoietic Stem Cell Transplantation

2016· article· en· W2328791540 on OpenAlexaff
Philippe Bouchard, Sarah Bilodeau, Karine Alain, Barbara Vadnais, Martin Franco, Jacques Turgeon, Véronique Michaud

Bibliographic record

VenueTherapeutic Drug Monitoring · 2016
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsHôpital Maisonneuve-RosemontUniversité de Montréal
Fundersnot available
KeywordsBusulfanMedicineHematopoietic stem cell transplantationPharmacokineticsArea under the curveTransplantationTherapeutic drug monitoringBlood samplingSampling (signal processing)SurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Monitoring busulfan area under the plasma concentration-time curve (AUC) to establish the dose regimen for stem cell transplantation desirable to achieve efficacy while avoiding toxicity. OBJECTIVE: Our objective was to compare AUCs calculated by 18 limited sampling methods (LSMs) from 2 to 5 samples to reference AUCs determined from 10 samples in a retrospective study of 103 adult patients receiving oral busulfan. LSMs using 2 or 3 samples were ineffective. METHODS: Four LSMs using 4 or 5 blood samples that accurately characterized busulfan AUC were identified. The best 2 methods were obtained with sampling at 0.5, 1, 2, 4, and 6 hours and after 1, 1.5, 2, 4, and 6 hours postdose. For these LSMs, the incidence of 20% difference between AUCs from LSMs and reference AUCs was less than 1.3%. CONCLUSIONS: Effective and safe determination of AUC for oral busulfan can be made with strategies using only 4 or 5 concentration timepoints.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.089
GPT teacher head0.391
Teacher spread0.302 · 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.

Study designBench or experimental
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

Citations4
Published2016
Admission routes1
Has abstractyes

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