The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Visual acuity measurements
Abstract
Modern visual acuity charts are designed so the letter sizes on each line follow a geometric progression (ie, change in a uniform step on a logarithmic scale).1–3 The accepted step size has been chosen to be 0.1 log unit, which is equivalent to letter sizes changing by a factor of 1.2589 between lines. This standard gave rise to the logMAR (logarithm of the minimum angle of resolution) notation as shown in Table 1, column 3. The bold values correspond to the accepted logMAR steps. Values that are not in logMAR steps such as 20/30, 20/60, 20/70, 20/150, and 20/300 are included because of their common appearance in older visual acuity charts. A geometric progression of lines on the visual acuity chart was chosen because it parallels the way our visual system functions. If patient 1 has a visual acuity of 20/20 and patient 2 has a visual acuity of 20/40, we conclude that patient 1 has two times better visual acuity than patient 2 because he/she can recognize a letter twice as small. Once we have chosen to compare vision as a ratio using a reference visual angle (20/20), a geometric progression results and a geometric mean must be calculated for a meaningful result.Table 1: Visual acuity conversion chart.Notice that in Table 1, the only values that increase linearly are the line numbers and the logMar notation. Snellen acuity, decimal acuity, and visual angle increase by the geometric factor of 1.2589. Once we have decided that equal steps in visual acuity measurement are geometric and not arithmetic, we must use the appropriate geometric mean to compute the correct average. In Table 1, we see that line 0 is the 20/20 Snellen acuity that corresponds to the logMAR value zero, since 20/20 is the standard. We also see that line 10 is 20/200 Snellen visual acuity, which corresponds to a logMAR value of 1.0 (10 times or 1 log unit worse than 20/20). Intuitively, it would appear that halfway between line 0 and line 10 would be line 5 or 20/63. This is the correct average, because geometrically it is halfway between 20/200 and 20/20. Calculating the average visual acuity and standard deviation in a series of patients is not difficult, but has been done incorrectly in most studies.4 The basic problem relates to the difference between the arithmetic and geometric mean for a set of numbers. For the correct average visual acuity, the geometric mean must be used, which gives significantly different values than the arithmetic mean. The simplest method for computing the proper average visual acuity from any notation is to convert the value to the logMAR equivalent and then take the average of the logMAR values. The easiest way to compute the logMAR value is to convert to the decimal notation and then take the negative of the logarithm. For example, 20/20 = 1 and the log of 1 is 0, and 20/200 = 0.10 and the negative of the log is +1.0; the average of 0 and +1.0 is 0.5 logMAR units. Converting back from the logMAR value of 0.5, the corresponding visual acuity is 20/63, the correct geometric average. The formulas for going from decimal to logMAR and then back are as follows: Two other considerations occur when sets of visual acuity measurements are evaluated: (1) what to do with values of counting fingers, hand motion, light perception, etc., and (2) how to compute the correct value if the patient did not read all the letters on the line completely. Counting Fingers, Hand Motion, Light Perception, No Light Perception Counting fingers at a given distance can be converted to a Snellen equivalent by assuming that the fingers are approximately the size of the elements of a 200 letter. Therefore, a person who can count fingers at 20 feet would have approximately 20/200 vision.5 A person able to count fingers at 2 feet would have 2/200 vision or the equivalent of 20/2000. This value is somewhat conservative because a hand against a white coat is much lower contrast than a black letter on a white background. Also, the examiner usually uses 4 or fewer fingers, making the number of forced choices less than the number of Snellen optotypes (10). From studies we have performed in our low-vision clinic, hand motion at a given distance is 10 times worse than counting fingers; ie, a person who can detect hand motion at 20 feet has approximately 20/2000 Snellen visual acuity equivalent. A person who has hand motion at 2 feet would have an equivalent Snellen acuity of 20/20000. Light perception with and without projection and no light perception are not actually visual acuity measurements, but simply the detection of a stimulus. These cases should be excluded and described in the materials and methods section of the manuscript. Patient Cannot Read Entire Line It is very common for visual acuity sets to include values in which the patient did not read all of the letters on a single line correctly. Although recording the last line that was read completely or the majority of letters (3 out of 5) is an acceptable method, it reduces the precision of
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
New Design Principles for Visual Acuity Letter Charts
Bailey, I. L., & Lovie, J. E. (1976) · American journal of optometry and physiological optic · doi:10.1002/j.2330-9512.1976.tb02218.x · Cited by 1,407
Faye, E. E. (1985) · Optometry and Vision Science · doi:10.1097/00006324-198503000-00014 · Cited by 132
Cited by
Russell, S., Bennett, J., Wellman, J. A., Chung, D. C., Yu, Z.-F., Tillman, A., Wittes, J., Pappas, J., Elci, O., McCague, S., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31868-8 · Cited by 1,952
Bennett, J., Wellman, J., Marshall, K. A., McCague, S., Ashtari, M., DiStefano-Pappas, J., Elci, O. U., Chung, D. C., Sun, J., Wright, J. F., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)30371-3 · Cited by 461
Natural History of Branch Retinal Vein Occlusion: An Evidence-Based Systematic Review
Rogers, S. L., McIntosh, R. L., Lim, L., Mitchell, P., Cheung, N., Kowalski, J. W., Nguyen, H. P., Wang, J. J., & Wong, T. Y. (2010) · Ophthalmology · doi:10.1016/j.ophtha.2010.01.058 · Cited by 422
Maguire, A. M., Russell, S., Wellman, J. A., Chung, D. C., Yu, Z.-F., Tillman, A., Wittes, J., Pappas, J., Elci, O., Marshall, K. A., et al. (2019) · Ophthalmology · doi:10.1016/j.ophtha.2019.06.017 · Cited by 409
Kuehlewein, L., Bansal, M., Lenis, T. L., Iafe, N. A., Sadda, S. R., Bonini Filho, M. A., De Carlo, T. E., Waheed, N. K., Duker, J. S., & Sarraf, D. (2015) · American Journal of Ophthalmology · doi:10.1016/j.ajo.2015.06.030 · Cited by 344
Metadata
- Authors
- Holladay, J. T.
- Venue
- Journal of Cataract and Refractive Surgery
- Published
- 2004-02
- Volume
- 30
- Issue
- 2
- Pages
- 287-290
- ISSN
- 0146-2776 (ISSN-L)
- 0886-3350
- OpenAlex
- W1964088771
- Cited by
- 686
- References
- 2
- FWCI
- 6.30
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Visual acuity measurements. https://app.cochat.ai/papers/10.1016/j.jcrs.2004.01.014
- The paper
- Holladay, J. T. (2004). Visual acuity measurements. Journal of Cataract and Refractive Surgery. https://doi.org/10.1016/j.jcrs.2004.01.014
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.