Evidence map›Paper›PMID 27572411›Full record

ArticleAntimicrobial agents and chemotherapy2016

Bayesian Estimation of Tobramycin Exposure in Patients with Cystic Fibrosis.

Michael A Barras, David Serisier, Stefanie Hennig, Katrina Jess, Ross L G Norris

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review of Tobramycin Dosing in Pediatric Patients With Cystic Fibrosis.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Michael A BarrasPharmacy Department, Mater Health Services, South Brisbane, Queensland, Australia michael.barras@health.qld.gov.au.ORCID 0000-0001-8105-0090
David SerisierRespiratory Department, Mater Health Services, South Brisbane, Queensland, Australia.ORCID 0000-0002-7484-7904
Stefanie HennigSchool of Pharmacy, The University of Queensland, Woolloongabba, Queensland, Australia.ORCID 0000-0001-5972-3711
Katrina JessRespiratory Department, Mater Health Services, South Brisbane, Queensland, Australia.
Ross L G NorrisPharmacy Department, Mater Health Services, South Brisbane, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fixed tobramycin (mg/kg) dosing is often inappropriate in patients with cystic fibrosis (CF), as pharmacokinetics are highly variable. The area under the concentration-time curve (AUC) is an exposure metric suited to monitoring in this population. Bayesian strategies to estimate AUC have been available for over 20 years but are not standard practice in the clinical setting. To assess their suitability for use in clinical practice, three AUC estimation methods using limited sampling were compared to measured true exposure by using intensive sampling tobramycin data. Adults prescribed once daily intravenous tobramycin had eight concentrations taken over 24 h. An estimate of true exposure within one dosing interval was calculated using the trapezoidal method and compared to three alternate estimates determined using (i) a two-sample log-linear regression (LLR) method (local hospital practice); (ii) a Bayesian estimate using one concentration (AUC

Indexed as

AdolescentAdultAnti-Bacterial AgentsArea Under CurveBayes TheoremCystic FibrosisDrug Administration ScheduleDrug Dosage CalculationsFemaleHumansInjections, IntravenousMaleProspective StudiesPseudomonas aeruginosaPseudomonas InfectionsRegression AnalysisAnti-Bacterial AgentsTobramycin

Identifiers

PMID27572411
PMCPMC5075075

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.