ArticlePharmaceutical research2020
Ocular Physiologically Based Pharmacokinetic Modeling for Ointment Formulations.
Article in Pharmaceutical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 23 citations in OpenAlex.
- Advancements in Nanodrug Delivery Systems as Controlled-Release Systems for Glaucoma Therapy: An Inspirational Step Toward Translation from Research to Clinic.Biomedicines · 2026Review
- Clinical Ocular Exposure Extrapolation for an Ophthalmic Ointment Using PBPK Modeling and Simulation.The AAPS journal · 2025Article
- Impact of Mechanistic Modeling and Simulation Methodologies on Product-Specific Guidance Development for Non-Orally Administered Drug Products.CPT: pharmacometrics & systems pharmacology · 2025Review
- Quasi-3D Mechanistic Model for Predicting Eye Drop Distribution in the Human Tear Film.Bioengineering (Basel, Switzerland) · 2025Article
- Regulatory and Industry Perspective on the Model Master File Framework for Locally Acting Drug Products.Pharmaceutical research · 2025Article
- Leveraging Model Master Files from a Technology Company Perspective: Facilitating Quantitative Medicine in Regulatory Frameworks.Pharmaceutical research · 2025Article
- Formulation Strategy of BCS-II Drugs by Coupling Mechanistic In-Vitro and Nonclinical In-Vivo Data with PBPK: Fundamentals of Absorption-Dissolution to Parameterization of Modelling and Simulation.AAPS PharmSciTech · 2025Review
- Translational physiologically-based pharmacokinetic model for ocular disposition of monoclonal antibodies.Journal of pharmacokinetics and pharmacodynamics · 2024Article
- Development of Gentamicin Bilosomes LadenAdvanced pharmaceutical bulletin · 2024Article
- Mathematical Models of Ocular Drug Delivery.Investigative ophthalmology & visual science · 2024Review
- Clinical Ocular Exposure Extrapolation for a Complex Ophthalmic Suspension Using Physiologically Based Pharmacokinetic Modeling and Simulation.Pharmaceutics · 2024Article
- Experimental and mathematical approaches for drug delivery for the treatment of wet age-related macular degeneration.Journal of controlled release : official journal of the Controlled Release Society · 2023Review
- Mechanistic modeling of ophthalmic, nasal, injectable, and implant generic drug products: A workshop summary report.CPT: pharmacometrics & systems pharmacology · 2023Review
- Clinical Ocular Exposure Extrapolation for Ophthalmic Solutions Using PBPK Modeling and Simulation.Pharmaceutical research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
purposeThe purpose of this study is to show how the Ocular Compartmental Absorption & Transit (OCAT™) model in GastroPlus
methodsA newly OCAT™ model developed for fluorometholone, as well as a previously verified model for dexamethasone, were used to characterize the aqueous humor (AH) concentration following the administration of multiple ointment formulations to rabbit. The model uses the following parameters: application surface area (SA), a fitted application time, and the fitted Higuchi release constant to characterize the rate of passage of the active pharmaceutical ingredient from the ointment formulations into the tears in vivo.
resultsParameter sensitivity analysis was performed to understand the impact of ointment formulation changes on ocular exposure. While application time was found to have a significant impact on the time of maximal concentration in AH, both the application SA and the Higuchi release constant significantly influenced both the maximum concentration and the ocular exposure.
conclusionsThis initial model for ointment ophthalmic formulations is a first step to better understand the interplay between physiological factors and ophthalmic formulation physicochemical properties and their impact on in vivo ocular drug pharmacokinetic performance in rabbits.
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.