Evidence map›Paper›PMID 40007094›Full record

Observational studyKorean journal of ophthalmology : KJO2025

Reliability and Accuracy of Smart Eye Camera in Determining Grading of Nuclear Cataract.

Anak Agung Mas Putrawati Triningrat, Angelo Doniho, Wayan Gede Jayanegara, I Gde Raka Widiana, Siska Wigono, Ni Made Laksmi Utari, Eisuke Shimizu, Shintaro Nakayama, Thendy Foraldy

Abstract readObservational Study
In one paragraph

Observational study in Korean journal of ophthalmology : KJO, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

9 authors.

Anak Agung Mas Putrawati TriningratDepartment of Ophthalmology, Faculty of Medicine, Udayana University, Bali, Indonesia.
Angelo DonihoDepartment of Ophthalmology, Faculty of Medicine, Udayana University, Bali, Indonesia.
Wayan Gede JayanegaraDepartment of Ophthalmology, Faculty of Medicine, Udayana University, Bali, Indonesia.
I Gde Raka WidianaDepartment of Ophthalmology, Faculty of Medicine, Udayana University, Bali, Indonesia.
Siska WigonoDepartment of Ophthalmology, Faculty of Medicine, Udayana University, Bali, Indonesia.
Ni Made Laksmi UtariDepartment of Ophthalmology, Faculty of Medicine, Udayana University, Bali, Indonesia.
Eisuke ShimizuDepartment of Ophthalmology, Keio University School of Medicine, Tokyo, Japan.
Shintaro NakayamaDepartment of Ophthalmology, Keio University School of Medicine, Tokyo, Japan.
Thendy ForaldyDepartment of Ophthalmology, Faculty of Medicine and Health Science, Atma Jaya University, Jakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCataracts are the cause of more than 50% of blindness in the world. Cataract is diagnosed using a slit lamp to evaluate the opacity of the lens. Slit lamps as the primary tools cataract are not available in primary care units. Smart Eye Camera (SEC) is a medical device placed on smartphone, capable of creating slit beam similar to conventional slit lamp. Previous studies have been conducted in Japan. We wanted to further compare ocular examination between SEC and conventional slit lamp with samples taken from UPTD Eye Clinic Ambon Vlissingen in Indonesia.

methodsObservational analytical study with a cross-sectional study design. The research sample consisted of 67 people selected by consecutive sampling. All samples were examined for cataracts using a conventional slit lamp and SEC. To evaluate the accuracy of SEC, diagnosis of cataract was carried out by one observer based on slit-lamp images. The results of examinations were then compared with the examinations by two observers based on the SEC video, where the videos were read two times in a span of 1 week.

resultsSixty-seven eye samples were taken with average age of 61.76 ± 5.83 years, visual acuity was 0.07 ± 0.12, intraocular pressure was 14.12 ± 2.06 mmHg, and SEC video duration was 4.15 ± 1.09 seconds. SEC intraobserver reliability has a κ of 0.795/0.818, SEC interobserver reliability has a κ of 0.795/0.817. SEC assessment accuracy for observer 1 has a κ of 0.606/0.681 and for observer 2 has a κ of 0.629/0.717, with the highest accuracy for cataract grade 3 (86.67% and 91.18%, respectively).

conclusionsThis study shows SEC has good consistency and reliability in assessing the degree of nuclear cataract compared to conventional slit lamp. This tool could be used for cataract screening in remote areas.

Indexed as

CataractPhotographySmartphoneAgedCross-Sectional StudiesEquipment DesignFemaleHumansMaleMiddle AgedReproducibility of ResultsSlit Lamp MicroscopyVisual AcuityCataractNuclear cataractSlit lampSmart eye camera

Identifiers

PMID40007094
PMCPMC12010183

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