Evidence map›Paper›PMID 31947944›Full record

ReviewPharmaceutics2020

In Vitro Dissolution and in Silico Modeling Shortcuts in Bioequivalence Testing.

Moawia M Al-Tabakha, Muaed J Alomar

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
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.

Moawia M Al-TabakhaDepartment of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, Ajman University, P.O. Box 346, Ajman, UAE.ORCID 0000-0001-6425-3582
Muaed J AlomarDepartment of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University, P.O. Box 346, Ajman, UAE.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo review in vitro testing and simulation platforms that are in current use to predict in vivo performances of generic products as well as other situations to provide evidence for biowaiver and support drug formulations development.

methodsPubmed and Google Scholar databases were used to review published literature over the past 10 years. The terms used were "simulation AND bioequivalence" and "modeling AND bioequivalence" in the title field of databases, followed by screening, and then reviewing.

resultsA total of 22 research papers were reviewed. Computer simulation using software such as GastroPlus™, PK-Sim

conclusionsComputer simulation platforms need to improve their mechanistic physiologically based pharmacokinetic (PBPK) modeling, and if prospectively validated within a small percentage of error from the observed clinical data, they can be valuable tools in bioequivalence (BE) testing and formulation development.

Indexed as

bioequivalencebiopharmaceutics classification systembiowaiverdissolutionin silico pharmacokinetic simulationspublication biassimilarity factor

Identifiers

PMID31947944
PMCPMC7022479

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.