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Record W4248028102 · doi:10.1177/00912700122010960

Evaluating Possible Pharmacokinetic Interactions between Tobramycin, Piperacillin, and a Combination of Piperacillin and Tazobactam in Patients with Various Degrees of Renal Impairment

2001· article· en· W4248028102 on OpenAlexaff
J A Dowell, J Korth-Bradley, M Milisci, K Tantillo, P Amorusi, S Tse

Bibliographic record

VenueThe Journal of Clinical Pharmacology · 2001
Typearticle
Languageen
FieldMedicine
TopicAntibiotics Pharmacokinetics and Efficacy
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsPiperacillinTobramycinPiperacillin/tazobactamPharmacokineticsMedicineRenal functionCrossover studyTazobactamPharmacologyAntibacterial agentInternal medicineAntibioticsChemistryGentamicinPathology

Abstract

fetched live from OpenAlex

A study was performed to further investigate the apparent instability of tobramycin when coadministered with piperacillin/tazobactam in subjects with renal impairment. Twenty-six otherwise healthy volunteers between 23 and 74 years of age were studied. Eight subjects had moderate renal impairment, 10 had mild renal impairment, and 8 had normal renal function. Each subject received single doses of piperacillin/tazobactam and tobramycin alone as well as combined doses in a randomized, three-way crossover design. The subjects with normal renal function also received combined doses of piperacillin and tobramycin. Considerable care was taken to protect against in vitro inactivation of plasma and urine samples after collection. No systematic changes in pharmacokinetic parameters were observed. It is concluded that piperacillin, either alone or with tazobactam, did not change the pharmacokinetics of tobramycin in subjects with renal impairment. The apparent in vivo inactivation of tobramycin in the presence of piperacillin or piperacillin/tazobactam reported by others may be an artifact of ex vivo inactivation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
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 head0.071
GPT teacher head0.441
Teacher spread0.370 · 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

Citations6
Published2001
Admission routes1
Has abstractyes

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