Development and Validation of a Digital Optotype for Near Vision in Greek Language.

NCT ID: NCT04242836

Last Updated: 2020-01-27

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

100 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-03-28

Study Completion Date

2019-11-28

Brief Summary

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Primary objective of our study is to develop and validate a computer-based digital near-vision optotype based on the Greek version of the print MNREAD.

Detailed Description

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Present study aims to develop and validate a computer-based digital near-vision optotype based on the Greek version of the print MNREAD.

Specifically, it aims to evaluate the level of agreement between the conventional printed greek MNREAD chart and the corresponding digital chart, as well as test-retest reliability of the digital optotype.

To address these aims, four reading parameters measured with the print and the digital version are compared. These parameters are the following:

1. Reading Acuity (RA)
2. Maximum Reading Speed (MRS)
3. Critical Print Size (CPS)
4. Accessibility Index (ACC)

All the comparisons take place in two groups: a) a Normal Vision Group (NVG), and b) a Low Vision Group (LVG) in order to estimate the reading capacity in a population with a wide range of vision.

Conditions

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Presbyopia Low Vision Near Vision

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Control group

1. 70 patients with normal vision (NVG) with adequate literacy of written Greek language
2. 30 patients with low vision (LVG) with adequate literacy of written Greek language

These patients are tested on the printed Greek MNREAD

MNREAD testing

Intervention Type DIAGNOSTIC_TEST

One randomly selected eye is included for each study participant. Participants respond to the near vision chart with defined environmental circumstances at 40cm viewing distance. All four parameters (RA, MRS, CPS and ACC) are evaluated.

Study group

The same patients as those in the control group (NVG, LVG) are tested on the digital version of the Greek MNREAD (DeDART)

MNREAD testing

Intervention Type DIAGNOSTIC_TEST

One randomly selected eye is included for each study participant. Participants respond to the near vision chart with defined environmental circumstances at 40cm viewing distance. All four parameters (RA, MRS, CPS and ACC) are evaluated.

Interventions

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MNREAD testing

One randomly selected eye is included for each study participant. Participants respond to the near vision chart with defined environmental circumstances at 40cm viewing distance. All four parameters (RA, MRS, CPS and ACC) are evaluated.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* adequate literacy of written Greek language

Exclusion Criteria

* dyslexia
* attention-deficiency
* former diagnosis of mental diseases
* former diagnosis of psychiatric diseases
Minimum Eligible Age

18 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Democritus University of Thrace

OTHER

Sponsor Role lead

Responsible Party

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Georgios Labiris

Associate Professor of Ophthalmology

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Georgios Labiris, MD, PhD

Role: STUDY_CHAIR

University Hospital of Alexandroupolis, Alexandroupolis, Greece

Locations

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University Hospital of Alexandroupolis

Alexandroupoli, Evros, Greece

Site Status

Countries

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Greece

References

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Labiris G, Panagiotopoulou EK, Chatzimichael E, Tzinava M, Mataftsi A, Delibasis K. Introduction of a digital near-vision reading test for normal and low vision adults: development and validation. Eye Vis (Lond). 2020 Oct 22;7:51. doi: 10.1186/s40662-020-00216-0. eCollection 2020.

Reference Type DERIVED
PMID: 33102611 (View on PubMed)

Other Identifiers

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ES3/Th2/27-03-2019

Identifier Type: -

Identifier Source: org_study_id

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