Pharmacokinetics¶
Gibaldi, M., & Perrier, D. (1982). Pharmacokinetics.
Cited by¶
7 citations across 7 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Accumulation
- And in pharmacology, drug stock in the bloodstream accumulates from absorption minus clearance, with chronic regimens designed around the convergence of stock to a steady state under constant flow.
This sourceStandard pharmacokinetics reference deriving plasma drug concentration as the integral of absorption minus clearance and the convergence of drug stock to a steady state under repeated dosing — the half-life logic of chronic regimens. (Book; no DOI — ISBN 9780824710422.)
- And in pharmacology, drug stock in the bloodstream accumulates from absorption minus clearance, with chronic regimens designed around the convergence of stock to a steady state under constant flow.
- Bioaccumulation
- At high chronic exposures or when metabolic elimination becomes saturated, kinetics may shift to zero-order (constant elimination rate regardless of dose) or show Michaelis-Menten kinetics — a regime Gibaldi and Perrier (1982) treat in detail in their canonical compartmental-modeling exposition of pharmacokinetics.
This sourceMarcel Dekker. Standard reference developing compartmental models and saturable (Michaelis-Menten / zero-order) elimination kinetics.
- At high chronic exposures or when metabolic elimination becomes saturated, kinetics may shift to zero-order (constant elimination rate regardless of dose) or show Michaelis-Menten kinetics — a regime Gibaldi and Perrier (1982) treat in detail in their canonical compartmental-modeling exposition of pharmacokinetics.
- Dose-Response Relationship
- The construct manages the complexity of input-output mappings in systems by parameterizing them: rather than describing the entire response surface case-by-case, a fitted functional form summarizes the mapping in a few interpretable parameters (ED50, slope, Emax, threshold), in the spirit of the parameter-based pharmacokinetic-pharmacodynamic compression formalized by Gibaldi and Perrier (1982).
This sourceMarcel Dekker. Standard pharmacokinetics reference developing compartmental models that compress absorption-distribution-elimination kinetics into a few interpretable parameters; supports D47-027 (parameter-based PK/PD compression paralleling dose-response parameterization).
- The construct manages the complexity of input-output mappings in systems by parameterizing them: rather than describing the entire response surface case-by-case, a fitted functional form summarizes the mapping in a few interpretable parameters (ED50, slope, Emax, threshold), in the spirit of the parameter-based pharmacokinetic-pharmacodynamic compression formalized by Gibaldi and Perrier (1982).
- PK/PD Modeling (Pharmacokinetics / Pharmacodynamics)
- The full model is a composition, in the formalism systematized by Gibaldi and Perrier (1982): dose D input → PK model → time course of plasma or effect-site concentration C(t) → PD model → time course of effect E(t).
This sourceMarcel Dekker. Standard pharmacokinetics reference: develops compartmental models that compress complex absorption-distribution-elimination kinetics into a small number of interpretable parameters, paralleling the parameterization that dose-response curves achieve for input-output relationships.
Supported in partVerified against the publisher's abstract
The abstract shows this is the standard systematic pharmacokinetic-methods reference, backing the 'PK model → C(t)' half of the composition but saying nothing about a PD model, effect site, or E(t).
“This book is based on research papers and commentaries on pharmacokinetic methods and applications published since 1975. It offers detailed examinations of new developments in the pharmacokinetic field with enhanced clarity of presentation and simplified organization.”
- The full model is a composition, in the formalism systematized by Gibaldi and Perrier (1982): dose D input → PK model → time course of plasma or effect-site concentration C(t) → PD model → time course of effect E(t).
- Reservoir-Flux Network
- Pharmacokinetics. Compartmental PK/PD models represent the body as one to three reservoirs with first-order rate constants between them and to elimination; drug mass is conserved minus elimination.
This sourceCanonical text on one- and multi-compartment models with first-order rate constants and conserved drug mass minus elimination.
- Pharmacokinetics. Compartmental PK/PD models represent the body as one to three reservoirs with first-order rate constants between them and to elimination; drug mass is conserved minus elimination.
- Signal Decay and Fadeout
- Half-life determines dosing intervals; multiple doses must account for decay of prior doses, as Gibaldi and Perrier (1982) detail in the canonical pharmacokinetics treatment of multi-dose plasma-level superposition.
This sourceMarcel Dekker. Standard pharmacokinetics reference: develops compartmental models that compress complex absorption-distribution-elimination kinetics into a small number of interpretable parameters, paralleling the parameterization that dose-response curves achieve for input-output relationships.
- Half-life determines dosing intervals; multiple doses must account for decay of prior doses, as Gibaldi and Perrier (1982) detail in the canonical pharmacokinetics treatment of multi-dose plasma-level superposition.
Domain-specific¶
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Read against the text for 1 of 7 citations: 1 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Registry ID ref:998beacf042e · see in the full table