Evidence map›Paper›PMID 23150213›Full record

ArticleClinical pharmacokinetics2013

The clinical relevance of plasma protein binding changes.

Jason A Roberts, Federico Pea, Jeffrey Lipman

Abstract read
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In one paragraph

Article in Clinical pharmacokinetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 4 pooled it
–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

121 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Membrane-Dependent Adsorption of Lacosamide in CRRT: Implications for Drug Dosing in Critically Ill Renal Patients.Medical science monitor : international medical journal of experimental and clinical research · 2026
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  13. Review
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  15. Radiolabeled Antimicrobials for Infection Imaging: A Scoping Review.International journal of molecular sciences · 2026
    Article
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  19. Article
  20. Article

61 more citing papers are in PubMed but not listed here.

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

3 authors.

Jason A RobertsBurns, Trauma and Critical Care Research Centre, The University of Queensland, Level 3, Ned Hanlon Building, Royal Brisbane and Women's Hospital, Herston, Brisbane, QLD, 4029, Australia. j.roberts2@uq.edu.au
Federico Pea
Jeffrey Lipman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Controversy reigns as to how protein binding changes alter the time course of unbound drug concentrations in patients. Given that the unbound concentration is responsible for drug efficacy and potential drug toxicity, this area is of significant interest to clinicians and academics worldwide. The present uncertainty means that many questions relating to this area exist, including "How important is protein binding?", "Is protein binding always constant?", "Do pH and temperature changes alter binding?" and "How do protein binding changes affect dosing requirements?". In this paper, we seek to address these questions and consider the data associated with altered pharmacokinetics in the presence of changes in protein binding and the clinical consequences that these may have on therapy, using examples from the critical care area. The published literature consistently indicates that a change in the protein binding and unbound concentrations of some drugs are common in certain specific patient groups such as the critically ill. Changes in pharmacokinetic parameters, including clearance and apparent volume of distribution (V(d)), may be dramatic. Drugs with high protein binding, high intrinsic clearance (e.g. clearance by glomerular filtration) and where dosing is not titrated to effect are most likely to be affected in a clinical context. Drugs such as highly protein bound antibacterials with multiple half-lives within a dosing interval and that have some level of renal clearance, such as ertapenem, teicoplanin, ceftriaxone and flucloxacillin, are commonly affected. In response to these challenges, clinicians need to adapt dosing regimens rationally based on the pharmacokinetic/pharmacodynamic characteristics of the drug. We propose that further pharmacokinetic modelling-based research is required to enable the design of robust dosing regimens for drugs affected by altered protein binding.

Indexed as

PharmacokineticsAnti-Bacterial AgentsBlood ProteinsBody TemperatureDrug MonitoringHumansHydrogen-Ion ConcentrationKidneyKidney Function TestsMetabolic Clearance RateProtein BindingAnti-Bacterial AgentsBlood Proteins

Identifiers

What OpenQuestion holds

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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.