Evidence map›Paper›PMID 23403430›Full record

ArticleAntimicrobial agents and chemotherapy2013

Monte Carlo simulations based on phase 1 studies predict target attainment of ceftobiprole in nosocomial pneumonia patients: a validation study.

Anouk E Muller, Anne H Schmitt-Hoffmann, Nieko Punt, Johan W Mouton

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.8field-weighted citation impact, top 8% of its field
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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
  2. Trial
  3. A phase 3 randomized double-blind comparison of ceftobiprole medocaril versus ceftazidime plus linezolid for the treatment of hospital-acquired pneumonia.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2014
    Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Ceftobiprole: pharmacokinetics and PK/PD profile.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2019
    Review
  9. Mechanisms of action and antimicrobial activity of ceftobiprole.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2019
    Review
  10. Technologies to address antimicrobial resistance.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Rationale for eliminating Staphylococcus breakpoints for β-lactam agents other than penicillin, oxacillin or cefoxitin, and ceftaroline.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2014
    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

4 authors at 3 institutions in 2 countries.

Anouk E MullerDepartment of Medical Microbiology, Radboud University Nijmegen Medical Centre, HB Nijmegen, The Netherlands. muller.research@gmail.com
Anne H Schmitt-Hoffmann
Nieko Punt
Johan W Mouton
Basilea Pharmaceutica (Switzerland) · CHRadboud University Medical Center · NLRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monte Carlo simulation (MCS) of antimicrobial dosage regimens during drug development to derive predicted target attainment values is frequently used to choose the optimal dose for the treatment of patients in phase 2 and 3 studies. A criticism is that pharmacokinetic (PK) parameter estimates and variability in healthy volunteers are smaller than those in patients. In this study, the initial estimates of exposure from MCS were compared with actual exposure data in patients treated with ceftobiprole in a phase 3 nosocomial-pneumonia (NP) study (NTC00210964). Results of MCS using population PK data from ceftobiprole derived from 12 healthy volunteers were used (J. W. Mouton, A. Schmitt-Hoffmann, S. Shapiro, N. Nashed, N. C. Punt, Antimicrob. Agents Chemother. 48:1713-1718, 2004). Actual individual exposures in patients were derived after building a population pharmacokinetic model and were used to calculate the individual exposure to ceftobiprole (the percentage of time the unbound concentration exceeds the MIC [percent fT > MIC]) for a range of MIC values. For the ranges of percent fT > MIC used to determine the dosage schedule in the phase 3 NP study, the MCS using data from a single phase 1 study in healthy volunteers accurately predicted the actual clinical exposure to ceftobiprole. The difference at 50% fT > MIC at an MIC of 4 mg/liter was 3.5% for PK-sampled patients. For higher values of percent fT > MIC and MICs, the MCS slightly underestimated the target attainment, probably due to extreme values in the PK profile distribution used in the simulations. The probability of target attainment based on MCS in healthy volunteers adequately predicted the actual exposures in a patient population, including severely ill patients.

Indexed as

Drug Dosage CalculationsMonte Carlo MethodAdolescentAdultAgedAged, 80 and overAnti-Bacterial AgentsCephalosporinsClinical Trials, Phase I as TopicClinical Trials, Phase III as TopicCross InfectionFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedAnti-Bacterial AgentsceftobiproleCephalosporins

Identifiers

PMID23403430
PMCPMC3632954
OpenAlexW2070593812

What OpenQuestion holds

Textmetadata
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Registered trials

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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.