Evidence map›Paper›PMID 28650831›Full record

ArticleIEEE journal of biomedical and health informatics2018

New Precision Metrics for Contrast Sensitivity Testing.

Michael Dorr, Tobias Elze, Hui Wang, Zhong-Lin Lu, Peter J Bex, Luis A Lesmes

Abstract read
In one paragraph

Article in IEEE journal of biomedical and health informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

  1. Differences in Contrast Sensitivity Measurement With Letters and Gratings.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
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  14. Vision Parameters Most Important to Functionality in Glaucoma.Investigative ophthalmology & visual science · 2019
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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

6 authors at 6 institutions in 3 countries.

Michael Dorr
Tobias Elze
Hui Wang
Zhong-Lin Lu
Peter J Bex
Luis A Lesmes
Jilin University of Finance and Economics · CNMassachusetts Eye and Ear Infirmary · USNortheastern University · USSensory (United States) · USTechnical University of Munich · DEThe Ohio State University · US

Funding

Efficient Assessment of Visual Deficits and Rehabilitation Methods in AmblyopiaR01EY021553 · NEI · OHIO STATE UNIVERSITY · PI LU, ZHONG-LIN · 2012 to 2016
$2.1M
Psychophysical Correlates of Neurodegeneration in GlaucomaR01EY018664 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI BEX, PETER JOHN · 2009 to 2012
$1.9M
Eye Movement Rehabilitation in Low Vision PatientsR01EY029713 · NEI · NORTHEASTERN UNIVERSITY · PI BEX, PETER JOHN · 2019 to 2023
$1.9M
A Rapid, Portable Test to Monitor Gradual Vision Loss in Dry Age-Related MacularR43EY023902 · NEI · ADAPTIVE SENSORY TECHNOLOGY, LLC · PI LESMES, LUIS ANDRES · 2014 to 2014
$121k
NEI NIH HHS R01 EY018664NEI NIH HHS R01 EY021553NEI NIH HHS R01 EY029713NEI NIH HHS R43 EY023902
6 · The paper itself

Abstract

Visual sensitivity is comprehensively described by the contrast sensitivity function (CSF), but current routine clinical care does not include its assessment because of the time-consuming need to estimate thresholds for a large number of spatial frequencies. The quick CSF method, however, dramatically reduces testing times by using a Bayesian information maximization rule. We evaluate the test-retest variability of a tablet-based quick CSF implementation in a study with 100 subjects who repeatedly assessed their vision with and without optical correction. We first discuss two commonly used measures of repeatability, intraclass correlation and the Bland-Altman Coefficient of Repeatability, and show that they are vulnerable to artifacts. Instead, we propose to formulate precision as an information retrieval task: from all repeat test scores, can we retrieve a certain individual based on their first test score? We then use rank-based analyses such as mean average precision as a better measure to compare different test metrics, and show that the highest test-retest precision is achieved using a summary statistic, the area under the log CSF (AULCSF). This demonstrates the benefit of assessment of the whole CSF compared to sensitivity at individual spatial frequencies only. AULCSF also yields best discrimination performance (99.2%) between measurements that were taken with and without glasses, respectively, even better than CSF Acuity. The tablet-based quick CSF thus enables the rapid and reliable home monitoring of visual function, which has the potential to improve early diagnosis and treatment of ophthalmic pathologies such as diabetic retinopathy or age-related macular degeneration.

Indexed as

AdolescentAdultAgedAlgorithmsBayes TheoremContrast SensitivityHumansMiddle AgedPsychometricsReproducibility of ResultsYoung Adult

Identifiers

PMID28650831
PMCPMC6706861
OpenAlexW2659241165

What OpenQuestion holds

Textmetadata
LicenceTDM
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.