Evidence map›Paper›PMID 32830289›Full record

ArticleThe AAPS journal2020

Using Physiologically Based Pharmacokinetic Modeling to Assess the Risks of Failing Bioequivalence Criteria: a Tale of Two Ibuprofen Products.

Ioannis Loisios-Konstantinidis, Bart Hens, Amitava Mitra, Sarah Kim, Chang Chiann, Rodrigo Cristofoletti

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in The AAPS journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Surge DosePharmaceutics · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. 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

6 authors.

Ioannis Loisios-KonstantinidisInstitute of Pharmaceutical Technology, Goethe University, Frankfurt am Main, Germany.
Bart HensDepartment of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.
Amitava MitraClinical Pharmacology and Pharmacometrics, Janssen Pharmaceutical Companies of Johnson & Johnson, Horsham, Pennsylvania, USA.
Sarah KimCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy,, University of Florida, 6550 Sanger Road, Office 146, Orlando, Florida, 32827, USA.
Chang ChiannInstitute of Mathematics and Statistics, University of Sao Paulo, Sao Paulo, Brazil.
Rodrigo CristofolettiCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy,, University of Florida, 6550 Sanger Road, Office 146, Orlando, Florida, 32827, USA. rcristofoletti@cop.ufl.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aims of the proposed study were to develop and verify a quantitative model-based framework to anticipate the in vivo bioequivalence of ibuprofen immediate release formulations. This stepwise approach integrated virtual bioequivalence trials to simulate the test to reference (T/R) ratio for positive (i.e., bioequivalent) and negative (i.e., non-bioequivalent) control formulations containing ibuprofen, approximated distribution of interoccasion variability (IOV) on ibuprofen peak (C

Indexed as

Models, TheoreticalTherapeutic EquivalencyIbuprofenIbuprofenbioequivalencein vitro-in vivo extrapolationphysiology-based pharmacokineticsquantitative methodsregulatory sciences

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.