Evidence map›Paper›PMID 38291293›Full record

ArticleThe AAPS journal2024

An Explanation of Why Dose-Corrected Area Under the Curve for Alternate Administration Routes Can Be Greater than for Intravenous Dosing.

Hirokazu Wakuda, Yue Xiang, Jasleen K Sodhi, Naoto Uemura, Leslie Z Benet

Abstract read
In one paragraph

Article in The AAPS journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Recalling the Definition of Basic Pharmacokinetic Parameters to Avoid Potential Pitfalls.European journal of drug metabolism and pharmacokinetics · 2026
    Article
  4. Review
  5. Article
  6. Response to the commentary on "are all measures of liver KpEuropean journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. The potential of developing high hepatic clearance drugs via controlled release: Lessons from Kirchhoff's Laws.Journal of controlled release : official journal of the Controlled Release Society · 2024
    Article
  11. Commentary: Pharmacokinetic Theory Must Consider Published Experimental Data.Drug metabolism and disposition: the biological fate of chemicals · 2024
    Article
  12. EvaluatingFrontiers in pharmacology · 2024
    Review
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.

Hirokazu WakudaDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California, 94143-0912, USA.
Yue XiangDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California, 94143-0912, USA.
Jasleen K SodhiDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California, 94143-0912, USA.
Naoto UemuraDepartment of Clinical Pharmacology and Therapeutics, School of Medicine, Oita University, 1-1 Idai gaoka, Hasama-machi, Yufu City, Oita, 879-5593, Japan.
Leslie Z BenetDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California, 94143-0912, USA. Leslie.Benet@ucsf.edu.ORCID 0000-0002-9678-2371

Funding

UCSF Liver Core CenterP30DK026743 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Holger Willenbring · 1986 to 2026
$30.7M
NIDDK NIH HHS P30 DK026743
6 · The paper itself

Abstract

It is generally believed that bioavailability (F) calculated based on systemic concentration area under the curve (AUC) measurements cannot exceed 1.0, yet some published studies report this inconsistency. We teach and believe, based on differential equation derivations, that rate of absorption has no influence on measured systemic clearance following an oral dose, i.e., determined as available dose divided by AUC. Previously, it was thought that any difference in calculating F from urine data versus that from systemic concentration AUC data was due to the inability to accurately measure urine data. A PubMed literature search for drugs exhibiting F > 1.0 and studies for which F was measured using both AUC and urinary excretion dose-corrected analyses yielded data for 35 drugs. We show and explain, using Kirchhoff's Laws, that these universally held concepts concerning bioavailability may not be valid in all situations. Bioavailability, determined using systemic concentration measurements, for many drugs may be overestimated since AUC reflects not only systemic elimination but also absorption rate characteristics, which is most easily seen for renal clearance measures. Clearance of drug from the absorption site must be significantly greater than clearance following an iv bolus dose for F(AUC) to correctly correspond with F(urine). The primary purpose of this paper is to demonstrate that studies resulting in F > 1.0 and/or greater systemic vs urine bioavailability predictions may be accurate. Importantly, these explications have no significant impact on current regulatory guidance for bioequivalence testing, nor on the use of exposure (AUC) measures in making drug dosing decisions.

Indexed as

Pharmaceutical PreparationsAdministration, OralArea Under CurveBiological AvailabilityInjections, IntravenousPharmaceutical PreparationsbioavailabilityKirchhoff’s Lawssystemic concentrationsurinary excretion

Identifiers

PMID38291293
PMCPMC13115556

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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.