Evidence map›Paper›PMID 31579557›Full record

ArticleTranslational vision science & technology2019

Development and Validation of a Smartphone-based Contrast Sensitivity Test.

Esmael Habtamu, Andrew Bastawrous, Nigel M Bolster, Zerihun Tadesse, E Kelly Callahan, Bizuayehu Gashaw, David Macleod, Matthew J Burton

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 36 citations in OpenAlex.

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  11. Scoping review of health information technology usability methods leveraged in Africa.Journal of the American Medical Informatics Association : JAMIA · 2023
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  19. Could telehealth help eye care practitioners adapt contact lens services during the COVID-19 pandemic?Contact lens & anterior eye : the journal of the British Contact Lens Association · 2020
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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

8 authors at 5 institutions in 3 countries.

Esmael HabtamuInternational Centre for Eye Health, London School of Hygiene & Tropical Medicine, London, UK.
Andrew BastawrousInternational Centre for Eye Health, London School of Hygiene & Tropical Medicine, London, UK.
Nigel M BolsterPeek Vision Limited, London, UK.
Zerihun TadesseThe Carter Center, Addis Ababa, Ethiopia.
E Kelly CallahanThe Carter Center, Atlanta, GA, USA.
Bizuayehu GashawAmhara Regional Health Bureau, Bahirdar, Ethiopia.
David MacleodInternational Centre for Eye Health, London School of Hygiene & Tropical Medicine, London, UK.
Matthew J BurtonInternational Centre for Eye Health, London School of Hygiene & Tropical Medicine, London, UK.
London School of Hygiene & Tropical Medicine · GBLondon Vision Clinic · GBAmhara Regional Health Bureau · ETCarter Center · USThe Carter Center · ET

Funding

Medical Research Council G1001934Medical Research Council MR/R010161/1Wellcome Trust
6 · The paper itself

Abstract

purposeContrast sensitivity (CS) testing is an important measure of visual function reflecting variations in everyday visual experience in different conditions and helps to identify more subtle vision loss. However, it is only infrequently used. To make this more accessible, we have developed and validated a smartphone-based CS test.

methodsA new tumbling-E smartphone-based CS test was developed, Peek Contrast Sensitivity (PeekCS). This was field tested and refined through several iterations. Reference standard was a tumbling-E Pelli-Robson CS test (PRCS). The validation study was conducted in community clinics in Ethiopia. Test-retest variability was measured for both PRCS and PeekCS. PRCS and PeekCS were then compared. Correlation coefficients and 95% confidence intervals (CIs) were calculated; 95% limits of agreement were calculated and displayed on Bland-Altman plots.

resultsPeekCS showed strong repeatability (correlation coefficient: 0.93; 95% CI: 0.91-0.95), which was comparable with PRCS (correlation coefficient: 0.96; 95% CI: 0.95-0.97). The 95% limit of agreement for test-retest variability of PRCS and PeekCS were -0.20 to 0.21 and -0.31 to 0.29, respectively. PRCS and PeekCS were highly correlated: 0.94 (95% CI: 0.93-0.95); 95% limits of agreement -0.27 to 0.29; and mean difference 0.010 (95% CI: -0.001 to 0.022). PeekCS had a faster testing time (44.6 seconds) than PRCS (48.6 seconds): mean difference -3.98 (95% CI: -5.38 to -2.58);

conclusionsThe smartphone-based PeekCS is a repeatable and rapid test, providing results that are highly comparable with the commonly used PRCS test. TRANSLATIONAL RELEVANCE: PeekCS provides an accessible and easy to perform alternative for CS testing, particularly in the community setting.

Indexed as

contrast sensitivitysmartphonetrachoma

Identifiers

PMID31579557
PMCPMC6743644
OpenAlexW2972946335

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.