Evidence map›Paper›PMID 28028770›Full record

ReviewPharmaceutical research2017

On the Nature of Physiologically-Based Pharmacokinetic Models -A Priori or A Posteriori? Mechanistic or Empirical?

Ken Korzekwa, Swati Nagar

Abstract readReview
In one paragraph

Review in Pharmaceutical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Recent developments inDrug metabolism reviews · 2021
    Article
  7. Article
  8. Methods to Predict Volume of Distribution.Current pharmacology reports · 2019
    Article
  9. Article
  10. Review
  11. Drugs in Lactation.Pharmaceutical research · 2018
    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

2 authors.

Ken KorzekwaDepartment of Pharmaceutical Sciences, Temple University School of Pharmacy, 3307 N Broad Street, Philadelphia, Pennsylvania, 19140, USA. korzekwa@temple.edu.ORCID 0000-0002-7119-9200
Swati NagarDepartment of Pharmaceutical Sciences, Temple University School of Pharmacy, 3307 N Broad Street, Philadelphia, Pennsylvania, 19140, USA.

Funding

Predicting Intracellular Drug Concentrations In The Presence Of TransportersR01GM104178 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI Kenneth Ray Korzekwa, Swati Nagar · 2013 to 2026
$4.0M
Improving prediction of drug interactions mediated by time-dependent inhibitorsR01GM114369 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI KORZEKWA, KENNETH RAY, NAGAR, SWATI · 2016 to 2023
$3.2M
NIGMS NIH HHS R01 GM104178NIGMS NIH HHS R01 GM114369
6 · The paper itself

Abstract

Physiologically-based pharmacokinetic (PBPK) models explicitly incorporate tissue-specific blood flows, partition coefficients, and metabolic processes. Since PBPK models are derived using physiologic parameters and interactions of the compound with tissue components, these models are considered to be "bottom up" as opposed to "top down". Modeling approaches can be characterized as either a posteriori (observational) or a priori (based solely on theory). Furthermore, approaches can be mechanistic (structure and components based on mechanisms) or empirical (based on observations alone). Both "bottom up" and "top down" approaches can incorporate either empirical or mechanistic components. In this perspective, we discuss some of the methods and assumptions of current PBPK modeling approaches. Specifically, we discuss drug partitioning into phospholipids and neutral lipids, use of blood-plasma ratios to estimate basic drug tissue partitioning, and clearance of neutral and acidic drugs. Based on these discussions, we believe that current PBPK models are mechanistic but a posteriori and semi-empirical.

Indexed as

Models, BiologicalChemistry, PharmaceuticalHumansMolecular StructurePharmaceutical PreparationsPharmacokineticsPhospholipidsTissue DistributionPharmaceutical PreparationsPhospholipidsclearancePBPKtissue partitioning

Identifiers

PMID28028770
PMCPMC5469509

What OpenQuestion holds

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Registered trials

None linked

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.