Evidence map›Paper›PMID 38304648›Full record

ArticleCureus2024

The Use of Infrared Auto Refractometer for Meibomian Gland Imaging.

Mohammed Alsaab, Abdulrhman S Alsadun, Eyad Alrsheed, Khaled Almutairi, Abdullah Alkhudhayr, Meshari A Alharbi, Waleed Alghamdi, Omar Solyman

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 36% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Mohammed AlsaabOptometry, Qassim University Medical City, Buraydah, SAU.
Abdulrhman S AlsadunOptometry, Qassim University Medical City, Buraydah, SAU.
Eyad AlrsheedOptometry, Qassim University Medical City, Buraydah, SAU.
Khaled AlmutairiOptometry, Qassim University Medical City, Buraydah, SAU.
Abdullah AlkhudhayrOptometry, Qassim University Medical City, Buraydah, SAU.
Meshari A AlharbiOphthalmology, Qassim University, Buraydah, SAU.
Waleed AlghamdiOptometry, Qassim University, Qassim, SAU.
Omar SolymanOphthalmology, Qassim University Medical City, Buraydah, SAU.
Qassim University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction This study proposes the utility of an infrared auto refractometer for meibography and compares miebographs obtained by an auto refractometer to meibographs obtained by a designated meibography machine. Methods A prospective observational comparative study of meibographs of patients with clinical signs of meibomian gland dysfunction (MGD) using a designated meibography machine and an infrared auto refractometer. Five masked, experienced interpreters graded the images of the two machines. The Kappa test was used to calculate Intra-rater and inter-rater agreements between the meibography machine and automated refractor grading of meibomian gland dysfunction. Results High-quality photos of all 30 eyes delineating the meibomian glands (MG) were successfully obtained with both the meibography machine and the autorefractor. Both methods had a good intra-rater agreement (κ= 0.667 to 0.784, average 0.738). Poor to fair interrater agreement was noticed in the grading of autorefractor images (k= -0.030 to 0.343, average 0.092) and poor to moderate agreements between investigators for meibography machine images (K= -0.016 to 0.420, average 0.173). Conclusion A commercially available auto refractometer could capture high-quality non-contact IR digital meibographs.

Indexed as

autorefractorimagingmeibographymeibomian glandmgd

Identifiers

PMID38304648
PMCPMC10831776
OpenAlexW4390501376

What OpenQuestion holds

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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.