ArticleJournal of ophthalmic inflammation and infection2023
Investigating the effect of eye drops based on iodine nanoparticles in the treatment of corneal ulcers in rabbit eyes.
Article in Journal of ophthalmic inflammation and infection, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 3 citations in OpenAlex.
- Mesoporous Silica Nanoparticles for Quercetin-Controlled Delivery to Protect Cisplatin-Induced Ototoxicity.ACS applied bio materials · 2025Article
- Comparison of Collagen Cross-Linking Alone to 1% Povidone-Iodine Treatment of Refractory Corneal Ulcers: A Randomized Clinical Trial.Journal of ophthalmology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundVarious organisms, such as bacteria, viruses, and fungi, can cause corneal ulcers. One of the leading causes of vision loss and disability worldwide is corneal ulceration. Practical, accessible, and affordable treatment for this disease seems essential. MATERIALS AND
methodsFifteen New Zealand rabbits infected with Staphylococcus aureus (ATCC 25923) corneal ulcers were randomly divided into three groups of five for the present study. (I, II, and III). Group I was used as the control group (without treatment). The second group received an iodine solution (1.25%) without a nanoparticle structure (betadine). The third group received an iodine solution with a nanoparticle structure used as eye drops. Drops in the corneal ulcer group were used five times daily for 14 days. Microbial counts and disease severity scores were measured on the first, second, fifth, and fourteenth days and compared between groups separately for each disease.
resultsThe results showed that the changes in microbial load were significant in the group that received betadine and nanoparticles. The microbial load was further reduced when using iodine nanoparticles than betadine. The betadine and nano-iodine groups significantly reduced the severity of the disease in rabbits with corneal ulcers (p < 0.05). The average changes in disease severity score were 4.8 ± 1.3, -2.6 ± 0.89, and -2.22 ± 1.22 in the untreated, nano iodine, and betadine groups, respectively. However, a significant increase in disease severity was observed in the untreated group (p = 0.001). It shows a significant difference (p < 0.001) between the nano iodine, betadine, and untreated groups. However, the difference in disease severity changes between nano iodine and non-nano iodine groups was insignificant.
conclusionNanoparticle iodine is more effective than non-nanoparticle iodine in reducing bacterial load. In reducing the severity of the disease, both types of iodine were superior to no treatment. But there was no apparent difference between the two groups treated with iodine.
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.