Evidence map›Paper›PMID 37498499›Full record

ArticlePharmaceutical research2023

A Physiology-Based Mathematical Model to Understand Drug Delivery from Contact Lenses to the Back of the Eye.

Nadia Toffoletto, Benilde Saramago, Ana Paula Serro, Anuj Chauhan

Abstract read
In one paragraph

Article in Pharmaceutical research, 2023. 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. Pharmacokinetic model for drug delivery by Ozurdex.Drug delivery and translational research · 2026
    Article
  2. Article
  3. Back of the Eye Drug Delivery: Advances, Challenges, and Emerging Opportunities for Transformative Therapies.Journal of ocular pharmacology and therapeutics : the official journal of the Association for Ocular Pharmacology and Therapeutics · 2025
    Article
  4. Article
  5. Mathematical Models of Topically and Intravitreally Applied Ranibizumab.Investigative ophthalmology & visual science · 2025
    Article
  6. Article
  7. 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

4 authors.

Nadia ToffolettoCentro de Química Estrutural, Institute of Molecular Sciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001, Lisbon, Portugal. nadia.toffoletto@tecnico.ulisboa.pt.ORCID http://orcid.org/0000-0002-2321-906X
Benilde SaramagoCentro de Química Estrutural, Institute of Molecular Sciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001, Lisbon, Portugal.
Ana Paula SerroCentro de Química Estrutural, Institute of Molecular Sciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001, Lisbon, Portugal.
Anuj ChauhanChemical and Biological Engineering Department, Colorado School of Mines, Golden, CO, 80401, USA.

Funding

Fundação para a Ciência e a Tecnologia 2022.10004.BDFundação para a Ciência e a Tecnologia UID/QUI/00100/2019, UIDB/00100/2020, UID/BIM/04585/2020, UIDP/00100/2020, IMS-LA/P/0056/2020 and PTDC/CTM-CTM/2353/2021.HORIZON EUROPE Framework Programme 813440
6 · The paper itself

Abstract

objectiveTherapeutic contact lenses, able to store drug and deliver it to the eye surface in a sustained fashion, gained interest as an effective and patient-friendly alternative to eye drops. Recent animal studies also demonstrated the presence of therapeutic drug levels in the back of the eye after wearing drug-loaded contact lenses, thus opening the possibility of treating the posterior segment without need of invasive intraocular injections. The drug pathways from contact lenses to the back of the eye require further investigation.

methodsA mechanistic mathematical model was developed to evaluate the drug concentration over time in the tears, sclera and choroid, retina, aqueous humor and vitreous humor after the application of a therapeutic contact lens. The main drug transport mechanisms of the eye and the barrier properties of the different tissues were included in the model. Validation was performed by comparison with experimental data in literature.

resultsThe model predictions of drug concentration over time reflected the experimental data both in the anterior and posterior segment of the eye. The model can differentiate between contributions to transport from different pathways.

conclusionsThe model constitutes a first step towards the possibility of predicting the ocular drug distribution and the treatment efficacy in the early stage of contact lens development, and it may help reduce both the need for in vivo tests (with ethical and economic advantages) and the gap between the lens design and clinical application. It also allows for an improved understanding of drug transport in the eye.

Indexed as

Contact LensesDrug Delivery SystemsAnimalsModels, TheoreticalRetinaScleraback of the eyecontact lensdrug deliverymathematical modelpharmacokinetics

Identifiers

PMID37498499
PMCPMC10447275

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Registered trials

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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.