Evidence map›Paper›PMID 40149621›Full record

ReviewBiomedicines2025

Absorption of Toxicants from the Ocular Surface: Potential Applications in Toxicology.

Ivan Šoša, Manuela Perković, Ivanka Baniček Šoša, Petra Grubešić, Dijana Tomić Linšak, Ines Strenja

Abstract readReview
In one paragraph

Review in Biomedicines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ivan ŠošaDepartment of Anatomy, Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia.ORCID 0000-0002-6869-3734
Manuela PerkovićDepartment of Pathology and Cytology, Pula General Hospital, 52100 Pula, Croatia.
Ivanka Baniček ŠošaClinical Hospital Centre Rijeka, University Department of Physical and Rehabilitation Medicine, Krešimirova 42, 51000 Rijeka, Croatia.
Petra GrubešićDepartment of Ophthalmology, Clinical Hospital Center Rijeka, Krešmirova 42, 51000 Rijeka, Croatia.
Dijana Tomić LinšakDepartment for Health Ecology, Faculty of Medicine, University of Rijeka, Braće Branchetta 20, 51000 Rijeka, Croatia.
Ines StrenjaDepartment of Neurology University Hospital Centre Rijeka, Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia.ORCID 0000-0002-2910-2217

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In relation to the eye, the body can absorb substances from the ocular surface fluid (OSF) in a few ways: directly through the conjunctival sac, through the nasal mucosa as the fluid drains into the nose, or through ingestion. Regardless of the absorption method, fluid from the conjunctival sac should be used as a toxicological matrix, even though only small quantities are needed. Contemporary analytical techniques make it a suitable matrix for toxicological research. Analyzing small quantities of the matrix and nano-quantities of the analyte requires high-cost, sophisticated tools, which is particularly relevant in the high-throughput environment of new drug or cosmetics testing. Environmental toxicology also presents a challenge, as many pollutants can enter the system using the same ocular surface route. A review of the existing literature was conducted to assess potential applications in clinical and forensic toxicology related to the absorption of toxicants from the ocular surface. The selection of the studies used in this review aimed to identify new, more efficient, and cost-effective analytical technology and diagnostic methods.

Indexed as

drugeyematrixmodeled tissueocular surface fluidparticle pollutiontoxicantstoxicology

Identifiers

PMID40149621
PMCPMC11940235

What Socratic 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 Socratic graph.