ReviewClinical oral investigations2023
Intraoral medical devices for sustained drug delivery.
Review in Clinical oral investigations, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Is continuous dopaminergic delivery still a major goal to be achieved in the treatment of Parkinson's disease?Journal of Parkinson's disease · 2026Review
- Gelatin/Lignin Hydrogel Loaded with Mesenchymal Stem Cell-Derived Exosomes Enriched in Microrna-185 Inhibits Progression of Oral Cancer.Pharmaceutics · 2026Article
- Characterization of Liquid Formulations for Enhanced Buccal Permeation: Exploring Key Attributes.Biomedicines · 2026Article
- Targeted repair of oral mucosal injury: emerging applications of biomaterials-based drug delivery systems.Journal of nanobiotechnology · 2026Review
- Targeting the Oral Mucosa: Emerging Drug Delivery Platforms and the Therapeutic Potential of Glycosaminoglycans.Pharmaceutics · 2025Review
- Prolonged Gel Delivery to Oral Cavity from a Silicone Tube: In Vivo Assessment.Pharmaceutics · 2025Article
- Bioavailability Enhancement and Formulation Technologies of Oral Mucosal Dosage Forms: A Review.Pharmaceutics · 2025Review
- Challenges in Optimizing Nanoplatforms Used for Local and Systemic Delivery in the Oral Cavity.Pharmaceutics · 2024Review
- Oromucosal Administration of Oxytocin: The Development of 'Oxipops'.Pharmaceutics · 2024Review
- In vitro and ex vivo models of the oral mucosa as platforms for the validation of novel drug delivery systems.Journal of tissue engineeringReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe oral cavity constitutes an attractive organ for the local and systemic application of drug substances. Oromucosal tablets, gels, or sprays are examples of the formulations applied. Due to the elution through the saliva, the residence time of the formulation at the application site is relatively short. Medical devices placed in the oral cavity, with a reservoir for an active substance, play an important role in solving this problem. MATERIALS AND
methodsIn this review, we discuss the devices described in the literature that are designed to be used in the oral cavity, highlighting the advantages, disadvantages, and clinical applications of each of them.
resultsAmong the intraoral medical devices, special types are personalized 3D-printed devices, iontophoretic devices, and microneedle patches.
conclusionWe anticipate that with the development of 3D printing and new polymers, the technology of flexible and comfortable devices for prolonged drug delivery in the oral cavity will develop intensively. CLINICAL RELEVANCE: The presented review is therefore a useful summary of the current technological state, when in fact none of the existing devices has been widely accepted clinically.
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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.