Evidence map›Paper›PMID 30587904›Full record

ArticleClinical ophthalmology (Auckland, N.Z.)2018

Agreement between retinal images obtained via smartphones and images obtained with retinal cameras or fundoscopic exams - systematic review and meta-analysis.

Manuel Ap Vilela, Felipe M Valença, Pedro Km Barreto, Carlos Ev Amaral, Lúcia C Pellanda

Open access · goldAbstract read
In one paragraph

Article in Clinical ophthalmology (Auckland, N.Z.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

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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

5 authors at 1 institution in 2 countries.

Manuel Ap VilelaFederal University of Health Sciences of Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil, mapvilela@gmail.com.
Felipe M ValençaFederal University of Health Sciences of Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil, mapvilela@gmail.com.
Pedro Km BarretoFederal University of Health Sciences of Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil, mapvilela@gmail.com.
Carlos Ev AmaralFederal University of Health Sciences of Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil, mapvilela@gmail.com.
Lúcia C PellandaFederal University of Health Sciences of Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil, mapvilela@gmail.com.
Universidade Federal do Rio Grande do Sul · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmartphone fundoscopy is a new option for visualizing the ocular fundus but must be validated before being included in population-based examinations. Our aim was to evaluate the quality of fundoscopic images obtained via smartphone and to compare their agreement with retinal camera images or clinical examination.

methodsThe database for this study included all observational studies with smartphone fundoscopy that have comparative analyses with the gold standard methods.

resultsOut of 121 potentially relevant studies, nine were included in this analysis, comprising a total of 4,219 eyes. Mean age was 56.6 years (SD±8.5). Combined kappa (κ) agreement statistics were equal to 77.77% (95% CI: 70.34%, 83.70%). No heterogeneity was measured by random effects (

conclusionFundoscopic images obtained by using smartphones have substantial agreement with gold standards for clinical or photographic exams.

Indexed as

fundoscopyophthalmoscopysmartphones

Identifiers

PMID30587904
PMCPMC6294162
OpenAlexW2905255669

What OpenQuestion holds

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LicenceCC BY-NC
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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.