Evidence map›Paper›PMID 33200052›Full record

ArticleTranslational vision science & technology2020

Quantifying Color Vision Changes Associated With Cataracts Using Cone Contrast Thresholds.

Urmi Mehta, Anna Diep, Kevin Nguyen, Bryan Le, Clara Yuh, Caroline Frambach, John Doan, Ang Wei, Anton M Palma, Marjan Farid and 7 more

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Factors affecting color vision: a systematic review.International journal of ophthalmology · 2026
    Review
  4. Observational
  5. Review
  6. Article
  7. Article
  8. Article
  9. Multimodal Imaging in Ocular Siderosis.Journal of vitreoretinal diseases
    Article
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

17 authors at 5 institutions in 1 country.

Urmi MehtaGavin Herbert Eye Institute, Department of Ophthalmology, University of California, Irvine, Irvine, California, USA.
Anna DiepUniversity of California, Irvine School of Medicine, Irvine, California USA.
Kevin NguyenCreighton University School of Medicine, Omaha, Nebraska, USA.
Bryan LeDrexel University College of Medicine, Philadelphia, Pennsylvania, USA.
Clara YuhWestern University of Health Sciences, Pomona, California USA.
Caroline FrambachUniversity of California, Irvine School of Medicine, Irvine, California USA.
John DoanMedical College of Wisconsin, Wauwatosa, Wisconsin, USA.
Ang WeiUniversity of California, Irvine School of Medicine, Irvine, California USA.
Anton M PalmaInstitute for Clinical and Translational Sciences, University of California, Irvine, Irvine, California, USA.
Marjan FaridGavin Herbert Eye Institute, Department of Ophthalmology, University of California, Irvine, Irvine, California, USA.
Sumit GargGavin Herbert Eye Institute, Department of Ophthalmology, University of California, Irvine, Irvine, California, USA.
Sanjay KedharGavin Herbert Eye Institute, Department of Ophthalmology, University of California, Irvine, Irvine, California, USA.
Matthew WadeGavin Herbert Eye Institute, Department of Ophthalmology, University of California, Irvine, Irvine, California, USA.
Kailey A MarshallGavin Herbert Eye Institute, Department of Ophthalmology, University of California, Irvine, Irvine, California, USA.
Kimberly A JamesonInstitute for Mathematical Behavioral Sciences, University of California, Irvine, Irvine, California, USA.
M Cristina KenneyGavin Herbert Eye Institute, Department of Ophthalmology, University of California, Irvine, Irvine, California, USA.
Andrew W BrowneGavin Herbert Eye Institute, Department of Ophthalmology, University of California, Irvine, Irvine, California, USA.
University of California, Irvine · USWestern University of Health Sciences · USCreighton University · USDrexel University · USMedical College of Wisconsin · US

Funding

Institutional Career Development CoreKL2TR001416 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI CAIOZZO, VINCENT JAMES, DEMETRIOU, MICHAEL · 2015 to 2023
$5.6M
NCATS NIH HHS KL2 TR001416
6 · The paper itself

Abstract

Purpose: To evaluate effects of age and simulated and real cataractous changes on color vision as measured by the high-definition cone contrast test (CCT). Methods: Twenty-four healthy volunteers from two cohort studies performed CCT using best-corrected visual acuity, filters, mydriasis, and pinhole correction. Retrospective cross-sectional study of patients seen in eye clinics evaluated the relationship between age and color vision, and age and lens status in 355 eyes. Last, 25 subjects underwent CCT before and after cataract surgery. Results: CCT scores were most reliable in the nonmydriatic condition without pinhole correction. Progressively dense brown filters produced small decreases in S-cone sensitivity. Linear regression analysis of phakic subjects showed a decline for all cone classes with age. Rate of decline was greater for S-cones (slope = -1.09; 95% confidence interval [CI], -1.30 to 0.86) than M-cones (slope = -0.80; 95% CI, -1.03 to -0.58) and L-cones (slope = -0.66; 95% CI, -0.88 to -0.44). CCT scores increased for S-cones but reduced for L- and M-cones in pseudophakic subjects compared with phakic patients. CCT scores after cataract surgery increased for S-cones, M-cones, and L-cones by 33.0 (95% CI, 8.6 to 57.4), 24.9 (95% CI, 3.8 to 46.0), and 22.0 (95% CI, -3.2 to 47.3), respectively. Conclusions: CCT assessment allows for clinically practical quantitation of color and contrast vision improvement after cataract surgery and aging patients who note poor vision despite good visual acuity. Translational Relevance: CCT testing, which quantifies hereditary and acquired color deficiency, can also quantify the degree of cataract severity and, combined with other parameters, can provide more precise guidance for cataract extraction to optimize patient care.

Indexed as

CataractColor VisionColor Vision DefectsCross-Sectional StudiesHumansRetrospective Studiesage-related decline in color visioncolor vision changes associated with agingcolor vision changes before and after cataract surgerycone contrast testcone contrast threshold

Identifiers

PMID33200052
PMCPMC7645251
OpenAlexW3096942076

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.