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Metabolic Clearance Rate

Pharmacology · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 4 min read

Volume of biological fluid completely cleared of drug metabolites as measured in unit time.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (770 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

Volume of biological fluid completely cleared of drug metabolites as measured in unit time. Elimination occurs as a result of metabolic processes in the kidney, liver, saliva, sweat, intestine, heart, brain, or other site.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Clearance Rate, Metabolic; Clearance Rates, Metabolic; Metabolic Clearance Rates; Rate, Metabolic Clearance; Rates, Metabolic Clearance; Total Body Clearance Rate.

Where it fits in the MeSH classification

Broader topics
Clinical Laboratory Techniques; Metabolism; Pharmacological and Toxicological Phenomena; Pharmacokinetics
See also
Renal Elimination; Hepatobiliary Elimination

Research landscape

PubMed indexes 24,151 records tagged with the MeSH heading “Metabolic Clearance Rate” (counts retrieved 2026-10-29). 793 of them (3.3%) were published from 2020 onward, and the busiest period so far is through 1999 with 13,131 records.

Reviews account for 1,772 records (7.3%) and meta-analyses for 37. Randomized controlled trials number 1,470 (6.1%) as a share of all records on the topic.

PubMed records by publication periodthrough 1999: 13,131 records; 2000-2009: 6,314 records; 2010-2019: 3,913 records; 2020 onward: 793 records13,131through 19996,3142000-20093,9132010-20197932020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 199913,131
2000-20096,314
2010-20193,913
2020 onward793
Share of records by publication typeReviews: 7.3 percent; Meta-analyses: 0.2 percent; Randomized controlled trials: 6.1 percentReviews7.3% (1,772)Meta-analyses0.2% (37)Randomized controlled trials6.1% (1,470)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 24,151 PubMed records
TypeRecordsShare
Reviews1,7727.3%
Meta-analyses370.2%
Randomized controlled trials1,4706.1%

Method: PubMed query "Metabolic Clearance Rate"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in pharmacology

Drug evidence builds in layers: laboratory pharmacology describes how a compound acts, pharmacokinetic studies describe how the body handles it, and randomized trials test whether it helps and what harms it causes. Post-marketing surveillance and observational studies reveal rarer adverse effects but cannot prove causation. This page is educational and is not a recommendation to start, stop or change any medicine; decisions about treatment belong with a qualified clinician.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Peripheral clearance of brain-derived Aβ in Alzheimer's disease: pathophysiology and therapeutic perspectives
Cheng Y, Tian DY, Wang YJ, Wang YJ
2020Review article
Design not recorded in structured metadata
165cc by
PMID 32381118 · DOI · PMC7204069
Meropenem and piperacillin/tazobactam prescribing in critically ill patients: does augmented renal clearance affect pharmacokinetic/pharmacodynamic target attainment when extended infusions are used?
Carlier M, Carrette S, Roberts JA, Stove V, Verstraete A, Hoste E, et al.
2013Research article
Design not recorded in structured metadata
150cc by
PMID 23642005 · DOI · PMC4056350
Augmented renal clearance in septic and traumatized patients with normal plasma creatinine concentrations: identifying at-risk patients
Udy AA, Roberts JA, Shorr AF, Boots RJ, Lipman J
2013Research article
Design not recorded in structured metadata
146cc by
PMID 23448570 · DOI · PMC4056783
Distribution Clearance: Significance and Underlying Mechanisms
Weiss M
2024Research article
Design not recorded in structured metadata
2cc by
PMID 38981900 · DOI · PMC11263435

Peripheral clearance of brain-derived Aβ in Alzheimer's disease: pathophysiology and therapeutic perspectives [1]

Review article Cheng Y, Tian DY, Wang YJ, Wang YJ · · 2020 · cited 165 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Alzheimer's disease (AD) is the most common type of dementia, and no disease-modifying treatments are available to halt or slow its progression.
Closing excerpt
This review provides a novel perspective to understand the pathogenesis of AD and develop interventions for this disease from a systemic approach.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (164 words)

Alzheimer's disease (AD) is the most common type of dementia, and no disease-modifying treatments are available to halt or slow its progression. Amyloid-beta (Aβ) is suggested to play a pivotal role in the pathogenesis of AD, and clearance of Aβ from the brain becomes a main therapeutic strategy for AD. Recent studies found that Aβ clearance in the periphery contributes substantially to reducing Aβ accumulation in the brain. Therefore, understanding the mechanism of how Aβ is cleared in the periphery is important for the development of effective therapies for AD. In this review, we summarized recent findings on the mechanisms of Aβ efflux from the brain to the periphery and discuss where and how the brain-derived Aβ is cleared in the periphery. Based on these findings, we propose future strategies to enhance peripheral Aβ clearance for the prevention and treatment of AD. This review provides a novel perspective to understand the pathogenesis of AD and develop interventions for this disease from a systemic approach.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 32381118 · DOI · PMC7204069

Meropenem and piperacillin/tazobactam prescribing in critically ill patients: does augmented renal clearance affect pharmacokinetic/pharmacodynamic target attainment when extended infusions are used? [2]

Research article Carlier M, Carrette S, Roberts JA, Stove V, Verstraete A, Hoste E, et al. · · 2013 · cited 150 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundCorrect antibiotic dosing remains a challenge for the clinician.
Closing excerpt
Consequently, these patients may be at risk for treatment failure without dose up-titration.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (248 words)

BackgroundCorrect antibiotic dosing remains a challenge for the clinician. The aim of this study was to assess the influence of augmented renal clearance on pharmacokinetic/pharmacodynamic target attainment in critically ill patients receiving meropenem or piperacillin/tazobactam, administered as an extended infusion.MethodsThis was a prospective, observational, pharmacokinetic study executed at the medical and surgical intensive care unit at a large academic medical center. Elegible patients were adult patients without renal dysfunction receiving meropenem or piperacillin/tazobactam as an extended infusion. Serial blood samples were collected to describe the antibiotic pharmacokinetics. Urine samples were taken from a 24-hour collection to measure creatinine clearance. Relevant data were drawn from the electronic patient file and the intensive care information system.ResultsWe obtained data from 61 patients and observed extensive pharmacokinetic variability. Forty-eight percent of the patients did not achieve the desired pharmacokinetic/pharmacodynamic target (100% fT>MIC), of which almost 80% had a measured creatinine clearance>130 mL/min. Multivariate logistic regression demonstrated that high creatinine clearance was an independent predictor of not achieving the pharmacokinetic/pharmacodynamic target. Seven out of nineteen patients (37%) displaying a creatinine clearance>130 mL/min did not achieve the minimum pharmacokinetic/pharmacodynamic target of 50% fT>MIC.ConclusionsIn this large patient cohort, we observed significant variability in pharmacokinetic/pharmacodynamic target attainment in critically ill patients. A large proportion of the patients without renal dysfunction, most of whom displayed a creatinine clearance>130 mL/min, did not achieve the desired pharmacokinetic/pharmacodynamic target, even with the use of alternative administration methods. Consequently, these patients may be at risk for treatment failure without dose up-titration.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 23642005 · DOI · PMC4056350

Augmented renal clearance in septic and traumatized patients with normal plasma creatinine concentrations: identifying at-risk patients [3]

Research article Udy AA, Roberts JA, Shorr AF, Boots RJ, Lipman J · · 2013 · cited 146 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
IntroductionImproved methods to optimize drug dosing in the critically ill are urgently needed.
Closing excerpt
5%, P ConclusionsDiagnosis, illness severity and age, are likely to significantly influence renal drug elimination in the critically ill, and must be regularly considered in future study design and daily prescribing practice.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (228 words)

IntroductionImproved methods to optimize drug dosing in the critically ill are urgently needed. Traditional prescribing culture involves recognition of factors that mandate dose reduction (such as renal impairment), although optimizing drug exposure, through more frequent or augmented dosing, represents an evolving strategy. Elevated creatinine clearance (CLCR) has been associated with sub-therapeutic antibacterial concentrations in the critically ill, a concept termed augmented renal clearance (ARC). We aimed to determine the prevalence of ARC in a cohort of septic and traumatized critically ill patients, while also examining demographic, physiological and illness severity characteristics that may help identify this phenomenon.MethodsThis prospective observational study was performed in a 30-bed tertiary level, university affiliated, adult intensive care unit. Consecutive traumatized and septic critically ill patients, receiving antibacterial therapy, with a plasma creatinine concentration ≤110 μmol/L, were eligible for enrolment. Pulse contour analysis (Vigileo / Flo Trac system, Edwards Lifesciences, Irvine, CA, USA), was used to provide continuous cardiac index (CI) assessment over a single six-hour dosing interval. Urinary CLCR measures were obtained concurrently.ResultsSeventy-one patients contributed data (sepsis n = 43, multi-trauma n = 28). Overall, 57.7% of the cohort manifested ARC, although there was a greater prevalence in trauma (85.7% versus 39.5%, P ConclusionsDiagnosis, illness severity and age, are likely to significantly influence renal drug elimination in the critically ill, and must be regularly considered in future study design and daily prescribing practice.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 23448570 · DOI · PMC4056783

Distribution Clearance: Significance and Underlying Mechanisms [4]

Research article Weiss M · · 2024 · cited 2 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
PurposeEvaluation of distribution kinetics is a neglected aspect of pharmacokinetics.
Closing excerpt
Its estimation as an adjunct to the model-independent parameters clearance and steady-state volume of distribution is advocated.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (130 words)

PurposeEvaluation of distribution kinetics is a neglected aspect of pharmacokinetics. This study examines the utility of the model-independent parameter whole body distribution clearance (CLD) in this respect.MethodsSince mammillary compartmental models are widely used, CLD was calculated in terms of parameters of this model for 15 drugs. The underlying distribution processes were explored by assessment of relationships to pharmacokinetic parameters and covariates.ResultsThe model-independence of the definition of the parameter CLD allowed a comparison of distributional properties of different drugs and provided physiological insight. Significant changes in CLD were observed as a result of drug-drug interactions, transporter polymorphisms and a diseased state.ConclusionTotal distribution clearance CLD is a useful parameter to evaluate distribution kinetics of drugs. Its estimation as an adjunct to the model-independent parameters clearance and steady-state volume of distribution is advocated.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 38981900 · DOI · PMC11263435

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Clinical Pharmacogenetics Implementation Consortium (CPIC) Guidelines for CYP2C19 and Voriconazole Therapy [5]
    Moriyama B, Obeng AO, Barbarino J, Penzak SR, Henning SA, Scott SA, et al. · Clin Pharmacol Ther · 2017 · cited 311 times (Europe PMC)
  • Research article Clearance approaches in pharmacology [6]
    Wilkinson GR · Pharmacol Rev · 1987 · cited 212 times (Europe PMC)
  • Research article Pharmacokinetics [7]
    Fan J, de Lannoy IA · Biochem Pharmacol · 2014 · cited 209 times (Europe PMC)
  • Research article The pharmacokinetics and metabolism of ivermectin in domestic animal species [8]
    González Canga A, Sahagún Prieto AM, José Diez Liébana M, Martínez NF, Vega MS, Vieitez JJ · Vet J · 2009 · cited 175 times (Europe PMC)
  • Research article Clinical Studies on Drug-Drug Interactions Involving Metabolism and Transport: Methodology, Pitfalls, and Interpretation [9]
    Tornio A, Filppula AM, Niemi M, Backman JT · Clin Pharmacol Ther · 2019 · cited 144 times (Europe PMC)
  • Research article Clearance in Drug Design [10]
    Smith DA, Beaumont K, Maurer TS, Di L · J Med Chem · 2019 · cited 122 times (Europe PMC)

References

  1. Cheng Y, Tian DY, Wang YJ, Wang YJ. Peripheral clearance of brain-derived Aβ in Alzheimer's disease: pathophysiology and therapeutic perspectives. . 2020. PMID 32381118 · DOI · PMC7204069
  2. Carlier M, Carrette S, Roberts JA, Stove V, Verstraete A, Hoste E, et al.. Meropenem and piperacillin/tazobactam prescribing in critically ill patients: does augmented renal clearance affect pharmacokinetic/pharmacodynamic target attainment when extended infusions are used?. . 2013. PMID 23642005 · DOI · PMC4056350
  3. Udy AA, Roberts JA, Shorr AF, Boots RJ, Lipman J. Augmented renal clearance in septic and traumatized patients with normal plasma creatinine concentrations: identifying at-risk patients. . 2013. PMID 23448570 · DOI · PMC4056783
  4. Weiss M. Distribution Clearance: Significance and Underlying Mechanisms. . 2024. PMID 38981900 · DOI · PMC11263435
  5. Moriyama B, Obeng AO, Barbarino J, Penzak SR, Henning SA, Scott SA, et al.. Clinical Pharmacogenetics Implementation Consortium (CPIC) Guidelines for CYP2C19 and Voriconazole Therapy. Clin Pharmacol Ther. 2017. PMID 27981572 · DOI · PMC5474211
  6. Wilkinson GR. Clearance approaches in pharmacology. Pharmacol Rev. 1987. PMID 3554275 · DOI
  7. Fan J, de Lannoy IA. Pharmacokinetics. Biochem Pharmacol. 2014. PMID 24055064 · DOI
  8. González Canga A, Sahagún Prieto AM, José Diez Liébana M, Martínez NF, Vega MS, Vieitez JJ. The pharmacokinetics and metabolism of ivermectin in domestic animal species. Vet J. 2009. PMID 17851096 · DOI
  9. Tornio A, Filppula AM, Niemi M, Backman JT. Clinical Studies on Drug-Drug Interactions Involving Metabolism and Transport: Methodology, Pitfalls, and Interpretation. Clin Pharmacol Ther. 2019. PMID 30916389 · DOI · PMC6563007
  10. Smith DA, Beaumont K, Maurer TS, Di L. Clearance in Drug Design. J Med Chem. 2019. PMID 30281973 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

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Related research topics

  • BiotransformationPharmacology
  • AbsorptionPharmacology
  • Area Under CurvePharmacology
  • BioaccumulationPharmacology
  • PharmacokineticsPharmacology
  • Tissue DistributionPharmacology

All 99 articles in Pharmacology →

At a glance

24,151
PubMed records on this heading
3%
published since 2020
1,772
review articles
1,470
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • BiotransformationPharmacology
  • AbsorptionPharmacology
  • Area Under CurvePharmacology
  • BioaccumulationPharmacology
  • PharmacokineticsPharmacology

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