Evidence map›Paper›PMID 32127869›Full record

ArticleAfrican health sciences2019

Development and Validation of the Minnesota Low Vision Reading Test (MNRead) Acuity Chart for the Asante Twi Language.

Samuel Bert Boadi-Kusi, Michael Agyemang Kwarteng, Emmanuel Asubonteng

Open access · hybridAbstract readValidation Study
In one paragraph

Article in African health sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Samuel Bert Boadi-KusiDepartment of Optometry and Vision Science, School of Allied Health Sciences, University of Cape Coast, Ghana.
Michael Agyemang KwartengDiscipline of Optometry, University of KwaZulu-Natal, Durban, South Africa.
Emmanuel AsubontengDepartment of Ghanaian Languages and linguistics, Faculty of Arts, University of Cape Coast, Ghana.
University of Cape Coast · GHUniversity of KwaZulu-Natal · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo design and validate a MNREAD Asante Twi version reading chart, to aid in the assessment of near visual acuity of natives Ghanaians.

methodsCross-sectional and experimental designs were employed in phases I and II respectively of this study. The chart was developed using 20 transited pupils in class four in the Kumasi metropolis in phase I and validated in a clinical setting at the Manhyia District Hospital, Kumasi, using students in phase II.

resultsA total of 100 participants (mean age; 22.19 ± 1.61 years) were involved in the second phase of this study. A Pearson product-moment correlation coefficient was computed to assess the relationship between MNREAD Asante Twi charts logMAR scores in both eyes. The MNREAD-Asante Twi acuity charts had very strong correlations (r = 0.94, p < 0.001) for MNREAD set 1A (black on white background) scores and MNREAD set 2A (black on white background) for acuity scores. Correlation between MNREAD set 1B (white on black background) scores and MNREAD set 2B (white on black background) scores was r = 0.95, p < 0.001.

conclusionMNREAD Asante Twi reading chart will enhance the measurement of near visual function in native Ghanaians.

Indexed as

ReadingVision, LowAdolescentCross-Sectional StudiesFemaleGhanaHumansMaleReproducibility of ResultsVision TestsVisual AcuityYoung AdultAsante TwiGhanaMNREADNear chartVisual Acuity

Identifiers

PMID32127869
PMCPMC7040334
OpenAlexW3000114568

What OpenQuestion holds

Textmetadata
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.