ArticleThe AAPS journal2024
An Explanation of Why Dose-Corrected Area Under the Curve for Alternate Administration Routes Can Be Greater than for Intravenous Dosing.
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.
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.
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.
Who cites it
12 citing papers in PubMed.
- Enhancing Bioavailability of Ultra-High Concentration Antibody Formulations Using Ionic Liquids.Advanced healthcare materials · 2026Article
- Mathematical Modeling in Drug Metabolism and Pharmacokinetics: Correct In Vitro, Not Always Valid In Vivo.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Recalling the Definition of Basic Pharmacokinetic Parameters to Avoid Potential Pitfalls.European journal of drug metabolism and pharmacokinetics · 2026Article
- Net Influx Rather Than Directional Rates: Re-evaluating Transporter Characterization In Vivo and In Vitro for Renal and Hepatic Clearance.The AAPS journal · 2025Review
- Simplifying Pharmacokinetics, Applying it to Drug and Dosage Form Development, and Making Drug Dosage Decisions in Clinical Medicine: The Adaptation of Kirchhoff's Laws from Physics.The AAPS journal · 2025Article
- Response to the commentary on "are all measures of liver KpEuropean journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2025Article
- Application of Kirchhoff's Laws to pharmacologic and pharmacokinetic analyses.Pharmacological reviews · 2025Review
- Structure-based discovery of highly bioavailable, covalent, broad-spectrum coronavirus MScience advances · 2025Article
- Concerns Regarding the Use of Kirchhoff's Laws in Pharmacokinetics.AAPS PharmSciTech · 2025Article
- 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 · 2024Article
- Commentary: Pharmacokinetic Theory Must Consider Published Experimental Data.Drug metabolism and disposition: the biological fate of chemicals · 2024Article
- EvaluatingFrontiers in pharmacology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.