Evidence map›Paper›PMID 37630111›Full record

ReviewMicromachines2023

Ultrasound-Mediated Ocular Drug Delivery: From Physics and Instrumentation to Future Directions.

Blair Duncan, Raida Al-Kassas, Guangming Zhang, Dave Hughes, Yongqiang Qiu

Abstract readReview
In one paragraph

Review in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Advances in Ultrasonic Rehabilitation.Sensors (Basel, Switzerland) · 2026
    Article
  2. 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

5 authors.

Blair DuncanSchool of Engineering, Faculty of Engineering & Technology, Liverpool John Moores University, James Parsons Building, Byrom Street, Liverpool L3 3AF, UK.ORCID 0000-0002-8943-7422
Raida Al-KassasSchool of Pharmacy & Biomolecular Sciences, Faculty of Science, Liverpool John Moores University, James Parsons Building, Byrom Street, Liverpool L3 3AF, UK.
Guangming ZhangSchool of Engineering, Faculty of Engineering & Technology, Liverpool John Moores University, James Parsons Building, Byrom Street, Liverpool L3 3AF, UK.ORCID 0000-0002-2351-2661
Dave HughesNovosound Ltd., Biocity, BoNess Road, Newhouse, Glasgow ML1 5UH, UK.
Yongqiang QiuSchool of Engineering, Faculty of Engineering & Technology, Liverpool John Moores University, James Parsons Building, Byrom Street, Liverpool L3 3AF, UK.ORCID 0000-0003-0266-1294

Funding

EU H2020 Marie Skłodowska-Curie RISE 2019 grant 871163Liverpool John Moores University Vice-Chancellor PhD ScholarshipLJMU-FET Pump Priming Awards 913FET & 944FET
6 · The paper itself

Abstract

Drug delivery to the anterior and posterior segments of the eye is impeded by anatomical and physiological barriers. Increasingly, the bioeffects produced by ultrasound are being proven effective for mitigating the impact of these barriers on ocular drug delivery, though there does not appear to be a consensus on the most appropriate system configuration and operating parameters for this application. In this review, the fundamental aspects of ultrasound physics most pertinent to drug delivery are presented; the primary phenomena responsible for increased drug delivery efficacy under ultrasound sonication are discussed; an overview of common ocular drug administration routes and the associated ocular barriers is also given before reviewing the current state of the art of ultrasound-mediated ocular drug delivery and its potential future directions.

Indexed as

acoustic cavitationacoustic streamingocular barriersocular drug deliverytargeted drug deliveryultrasound

Identifiers

PMID37630111
PMCPMC10456754

What OpenQuestion holds

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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.