Evidence map›Paper›PMID 40768840›Full record

ArticleJournal of optometry

Effect of high-energy visible light-filtering spectacle lenses on high and low contrast distance visual acuity.

Nishanee Rampersad, Rekha Hansraj

Abstract read
In one paragraph

Article in Journal of optometry. 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
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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

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

2 authors.

Nishanee RampersadDiscipline of Optometry, School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa. Electronic address: rampersadn@ukzn.ac.za.
Rekha HansrajDiscipline of Optometry, School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHigh-energy visible (HEV) light has been the subject of considerable debate recently despite its critical role in several physiological functions. High-energy visible light-filtering spectacle lenses, which attenuate transmission of HEV light, are being widely marketed as protective measures for ocular health and interventions to improve visual function and sleep quality. This study reports on the effect of HEV light-filtering spectacle lenses on high and low contrast (10 % and 2.5 %) distance VA.

methodsHigh and low contrast binocular distance VA was measured in 30 young adults in photopic and mesopic illumination. The VA measurements were taken with four test lenses including three commercially available HEV light-filtering lenses and a control lens. Data were analysed with descriptive and inferential statistics.

resultsThere was no significant difference in mean photopic high contrast (F(2.5, 73.5) = 1.30, p = 0.28), low contrast 10 % (F(3, 87) = 0.24, p = 0.87) and 2.5 % (F(3, 87) = 0.72, p = 0.54) VA measurements with the four test lenses. Similarly, in mesopic illumination the mean VA measurements were similar among the four test lenses (high contrast (F(3, 87) = 1.06, p = 0.37), low contrast 10 % (F(3, 87) = 0.70, p = 0.55) and low contrast 2.5 % (F(3, 87 = 0.49, p = 0.69)).

conclusionThe HEV light-filtering spectacle lenses produced no meaningful changes in VA compared with the control lens in varying illumination. Eye care personnel should consider this information when considering HEV light-filtering spectacle lenses in clinical practice.

Indexed as

Contrast SensitivityEyeglassesLightVisual AcuityAdultEquipment DesignFemaleHumansMaleVision, BinocularYoung AdultHigh-energy visible lightHigh-energy visible light–filtering spectacle lensesVisual acuityVisual function

Identifiers

PMID40768840
PMCPMC12546411

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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.