Evidence map›Paper›PMID 27120074›Full record

ArticleJournal of vision2016

Evaluating the performance of the quick CSF method in detecting contrast sensitivity function changes.

Fang Hou, Luis Andres Lesmes, Woojae Kim, Hairong Gu, Mark A Pitt, Jay I Myung, Zhong-Lin Lu

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Journal of vision, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
3.3field-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

57 citing papers in PubMed, 91 citations in OpenAlex.

  1. MAGIC: Study Design and Rationale for the Phase 2 Clinical Trial of Faricimab for Non-Proliferative Diabetic Retinopathy.Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift fur Augenheilkunde · 2026
    Trial
  2. Trial
  3. Evaluation and comparison of three popular computer-based contrast sensitivity measurement techniques.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The effect of femtosecond laser-assistedFrontiers in neuroscience · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors at 2 institutions in 1 country.

Fang Hou
Luis Andres Lesmes
Woojae Kim
Hairong Gu
Mark A Pitt
Jay I Myung
Zhong-Lin Lu
The Ohio State University · USSensory Cloud (United States) · 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
Adaptive Experimental Methods for Evaluating Computational Models of CognitionR01MH093838 · NIMH · OHIO STATE UNIVERSITY · PI PITT, MARK A · 2011 to 2015
$1.6M
NEI NIH HHS EY021553NEI NIH HHS R01 EY021553NIMH NIH HHS MH093838NIMH NIH HHS R01 MH093838
6 · The paper itself

Abstract

The contrast sensitivity function (CSF) has shown promise as a functional vision endpoint for monitoring the changes in functional vision that accompany eye disease or its treatment. However, detecting CSF changes with precision and efficiency at both the individual and group levels is very challenging. By exploiting the Bayesian foundation of the quick CSF method (Lesmes, Lu, Baek, & Albright, 2010), we developed and evaluated metrics for detecting CSF changes at both the individual and group levels. A 10-letter identification task was used to assess the systematic changes in the CSF measured in three luminance conditions in 112 naïve normal observers. The data from the large sample allowed us to estimate the test-retest reliability of the quick CSF procedure and evaluate its performance in detecting CSF changes at both the individual and group levels. The test-retest reliability reached 0.974 with 50 trials. In 50 trials, the quick CSF method can detect a medium 0.30 log unit area under log CSF change with 94.0% accuracy at the individual observer level. At the group level, a power analysis based on the empirical distribution of CSF changes from the large sample showed that a very small area under log CSF change (0.025 log unit) could be detected by the quick CSF method with 112 observers and 50 trials. These results make it plausible to apply the method to monitor the progression of visual diseases or treatment effects on individual patients and greatly reduce the time, sample size, and costs in clinical trials at the group level.

Indexed as

Bayes TheoremContrast SensitivityHumansReproducibility of ResultsVision Tests

Identifiers

PMID27120074
PMCPMC4898274
OpenAlexW2342473815

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.