Evidence map›Paper›PMID 32409892›Full record

ArticlePharmaceutical research2020

An Integrated Dialysis Pharmacometric (IDP) Model to Evaluate the Pharmacokinetics in Patients Undergoing Renal Replacement Therapy.

Astrid Broeker, Matthias G Vossen, Florian Thalhammer, Steven C Wallis, Jeffrey Lipman, Jason A Roberts, Sebastian G Wicha

Open access · hybridAbstract read
In one paragraph

Article in Pharmaceutical research, 2020. 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
1.5field-weighted citation impact, top 18% 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, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Observational
  8. Target-controlled dialysis for antibiotics (TCD-ABx).Intensive care medicine experimental · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Frontiers in pharmacology · 2021
    Article
  15. 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

7 authors at 3 institutions in 4 countries.

Astrid BroekerDepartment of Clinical Pharmacy, Institute of Pharmacy, University of Hamburg, Bundesstraße 45, 20146, Hamburg, Germany.
Matthias G VossenDivision of Infectious Diseases and Tropical Medicine, Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria.
Florian ThalhammerDivision of Infectious Diseases and Tropical Medicine, Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria.
Steven C WallisUniversity of Queensland Centre of Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
Jeffrey LipmanUniversity of Queensland Centre of Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
Jason A RobertsUniversity of Queensland Centre for Clinical Research, Faculty of Medicine & Centre for Translational Anti-infective Pharmacodynamics, School of Pharmacy, The University of Queensland, Brisbane, Australia.
Sebastian G WichaDepartment of Clinical Pharmacy, Institute of Pharmacy, University of Hamburg, Bundesstraße 45, 20146, Hamburg, Germany. sebastian.wicha@uni-hamburg.de.ORCID http://orcid.org/0000-0002-8773-4845
The University of Queensland · AUMedical University of Vienna · ATUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeClearance via renal replacement therapy (RRT) can significantly alter the pharmacokinetic profile of drugs. The aim of this study was (i) to improve the use of clinical trial data and (ii) to provide a model that allows quantification of all aspects of drug elimination via RRT including adsorption to dialysis membranes and/or degradation of the drug in the dialysate.

methodsAn integrated dialysis pharmacometric (IDP) model was developed to simultaneously incorporate all available RRT information. The sensitivity, accuracy and precision of the IDP model was compared to conventional approaches in clinical trial simulations and applied to clinical datasets of teicoplanin and doripenem.

resultsThe IDP model was more accurate, precise and sensitive than conventional plasma-concentration-based approaches when estimating the clearance

conclusionThe IDP model allows accurate, precise and sensitive characterization of clearance

Indexed as

Models, BiologicalAcute Kidney InjuryAdsorptionAnti-Bacterial AgentsComputer SimulationDatabase Management SystemsDoripenemDrug StabilityHumansMetabolic Clearance RateProspective StudiesRenal DialysisRenal Replacement TherapyRisk AssessmentTeicoplaninAnti-Bacterial AgentsDoripenemTeicoplaninadsorptiondoripenempharmacokineticsrenal replacement therapyteicoplanin

Identifiers

PMID32409892
PMCPMC7225193
OpenAlexW3025362222

What OpenQuestion holds

Textmetadata
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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.