Evidence map›Paper›PMID 37602355›Full record

ArticleInternational journal of ophthalmology2023

A new software for automated counting of glistenings in intraocular lenses

Nick Stanojcic, Christopher C Hull, Eduardo Mangieri, Nathan Little, David O'Brart

Abstract read
In one paragraph

Article in International journal of ophthalmology, 2023. 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

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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

5 authors.

Nick StanojcicDepartment of Ophthalmology, Guy's and St Thomas' NHS Foundation Trust, London SE1 7EH, UK.
Christopher C HullCentre for Applied Vision Research, School of Health Sciences, University of London, London EC1V 0HB, UK.
Eduardo MangieriSparca Ltd, Croydon, Surrey CR0 1QQ, UK.
Nathan LittleSparca Ltd, Croydon, Surrey CR0 1QQ, UK.
David O'BrartDepartment of Ophthalmology, Guy's and St Thomas' NHS Foundation Trust, London SE1 7EH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo assess the performance of a bespoke software for automated counting of intraocular lens (IOL) glistenings in slit-lamp images.

methodsIOL glistenings from slit-lamp-derived digital images were counted manually and automatically by the bespoke software. The images of one randomly selected eye from each of 34 participants were used as a training set to determine the threshold setting that gave the best agreement between manual and automatic grading. A second set of 63 images, selected using randomised stratified sampling from 290 images, were used for software validation. The images were obtained using a previously described protocol. Software-derived automated glistenings counts were compared to manual counts produced by three ophthalmologists.

resultsA threshold value of 140 was determined that minimised the total deviation in the number of glistenings for the 34 images in the training set. Using this threshold value, only slight agreement was found between automated software counts and manual expert counts for the validating set of 63 images (

conclusionThe low levels of agreement show between an initial release of software used to automatically count glistenings in

Indexed as

automated countingglisteningsintraocular lensesnew softwareslit-lamp images

Identifiers

PMID37602355
PMCPMC10398534

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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.