Evidence map›Paper›PMID 37521149›Full record

ArticleClinical ophthalmology (Auckland, N.Z.)2023

Interobserver Reliability of Tear Break-Up Time Examination Using "Smart Eye Camera" in Indonesian Remote Area.

Ariesanti Tri Handayani, Clara Valentina, I Gusti Ayu Ratna Suryaningrum, Putu Dian Megasafitri, I Gusti Ayu Made Juliari, Ida Ayu Ary Pramita, Shintaro Nakayama, Eisuke Shimizu, Anak Agung Mas Putrawati Triningrat

Abstract read
In one paragraph

Article in Clinical ophthalmology (Auckland, N.Z.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  11. Development of the AI Pipeline for Corneal Opacity Detection.Bioengineering (Basel, Switzerland) · 2024
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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.

Ariesanti Tri HandayaniOphthalmology Study Program Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.ORCID 0000-0002-2981-0280
Clara ValentinaOphthalmology Study Program Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.
I Gusti Ayu Ratna SuryaningrumOphthalmology Study Program Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.
Putu Dian MegasafitriOphthalmology Study Program Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.
I Gusti Ayu Made JuliariOphthalmology Study Program Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.
Ida Ayu Ary PramitaOphthalmology Study Program Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.
Shintaro NakayamaDepartment of Ophthalmology, Keio University School of Medicine, Shinjuku, Tokyo, Japan.
Eisuke ShimizuDepartment of Ophthalmology, Keio University School of Medicine, Shinjuku, Tokyo, Japan.
Anak Agung Mas Putrawati TriningratOphthalmology Study Program Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dry eye disease (DED) is a multifactorial disease of tears and ocular surface that results in symptoms of discomfort, visual disturbance, and tear film instability leading to decrease of vision, productivity and quality of life, and blindness. DED diagnosis remains difficult and underdiagnosed regarding inconsistency between subjective symptoms and clinical findings. Tear break-up time (TBUT) is an objective indicator of tear film stability in diagnostic DED. A novel smartphone attachment, namely SEC (smart eye camera), could mimic conventional slit lamp to assess TBUT and beneficial in facilitating DED diagnosis. Reliability between a non and an ophthalmologist in TBUT assessment and DED diagnosis is observed in this study. Purpose: To determine interobserver reliability of TBUT measurement for diagnosing DED using SEC. Design: This a cross-sectional analytic study involving 99 participants (198 eyes) aged 40 years who visited Pratama Gema Santi Hospital, Nusa Penida, from September 2nd to 4th, 2022, with consecutive sampling technique. Methods: Fluoresceined eyes were filmed using the SEC device and apps, continued by masked ophthalmologist and resident assessing TBUT based on the video. The primary outcome is interobserver reliability for TBUT measurement and DED diagnosis. Results: The mean age of participants was 55.22±9.78 years, 48.5% male and 51.5% female. The reliability of interobserver in assessing DED based on TBUT test is 0.78 (95% CI=0.31-1.26, Conclusion: SEC video has good interobserver reliability to assess TBUT for DED diagnosis. SEC can be used as one of the methods in assessing DED in limited health care facilities. The high reliability of interobserver assessment indicates that DED diagnosis using video taken with SEC may be useful for telemedicine evaluation in remote areas.

Indexed as

dry eye diseasesmart eye cameratelemedicine

Identifiers

PMID37521149
PMCPMC10378626

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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.