Evidence map›Paper›PMID 40469897›Full record

ArticleOphthalmology science

A Comparative Validation Study of Near Visual Acuity Assessment Using Different Handheld Acuity Charts.

David Ziyou Chen, Yih-Chung Tham, Liang Shen, Soon-Phaik Chee

Abstract read
In one paragraph

Article in Ophthalmology science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. How Accurate are Our Near Reading Charts? An Assessment of 19 Charts Against ISO Standards.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Article
  2. 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

4 authors.

David Ziyou ChenDepartment of Ophthalmology, National University Hospital, Singapore.
Yih-Chung ThamCentre for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Liang ShenBiostatistics Unit, Yong Loo Lin School of Medicine, Singapore.
Soon-Phaik CheeDepartment of Ophthalmology, National University Hospital, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop a conversion table and compare the cross-validity of 3 types of widely utilized near vision charts: the ETDRS near chart, the N-notation chart, and the Rosenbaum chart. Design: A prospective, cross-sectional, comparative validation study. Participants: Aged ≥40 years. Methods: A conversion table for the 3 types of near charts was created using objective character sizing based on vertical height captured using a surgical microscope with a 10× magnification. Eligible presbyopic patients had their near vision tested sequentially with 3 near charts in a randomized order. Main Outcome Measures: Pearson correlation coefficient ( Results: A total of 204 participants (129 women, 63.2%) were recruited for the study (mean age, 58.9 ± 7.1 years). For correlation, Conclusions: We have developed a conversion table for 3 types of commonly used near vision charts. When compared with the ETDRS near chart, the Rosenbaum chart had a smaller range of difference than the N-notation chart. Both the Rosenbaum and N-notation charts tended to underestimate near vision at worse vision. Financial Disclosures: The author(s) have no proprietary or commercial interest in any materials discussed in this article.

Indexed as

ETDRS near chartNear visual acuityN-notation chartPresbyopiaRosenbaum chart

Identifiers

PMID40469897
PMCPMC12135357

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.