Evidence map›Paper›PMID 32452713›Full record

ArticleJournal of learning disabilities

The Prevalence of Dyslexia: A New Approach to Its Estimation.

Richard K Wagner, Fotena A Zirps, Ashley A Edwards, Sarah G Wood, Rachel E Joyner, Betsy J Becker, Guangyun Liu, Bethany Beal

Abstract read
In one paragraph

Article in Journal of learning disabilities. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 8 pooled it
–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

101 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
  2. Visual and Oculomotor Function in Developmental Dyslexia: A Systematic Review and Meta-Analysis.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Trial
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Thoughts on the Definition of Dyslexia.Annals of dyslexia · 2026
    Article
  20. Article

41 more citing papers are in PubMed but not listed here.

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

8 authors.

Richard K WagnerFlorida State University, Tallahassee, USA.
Fotena A ZirpsFlorida State University, Tallahassee, USA.
Ashley A EdwardsFlorida State University, Tallahassee, USA.
Sarah G WoodFlorida State University, Tallahassee, USA.
Rachel E JoynerFlorida State University, Tallahassee, USA.
Betsy J BeckerFlorida State University, Tallahassee, USA.
Guangyun LiuFlorida State University, Tallahassee, USA.
Bethany BealFlorida State University, Tallahassee, USA.

Funding

THE FLORIDA LONGITUDINAL STUDYP50HD052120 · NICHD · FLORIDA STATE UNIVERSITY · PI Nicole Sandi Patton-Terry · 2006 to 2026
$31.7M
NICHD NIH HHS P50 HD052120
6 · The paper itself

Abstract

How prevalent is dyslexia? A definitive answer to this question has been elusive because of the continuous distribution of reading performance and predictors of dyslexia and because of the heterogeneous nature of samples of poor readers. Samples of poor readers are a mixture of individuals whose reading is consistent with or expected based on their performance in other academic areas and in language, and individuals with dyslexia whose reading is not consistent with or expected based on their other performances. In the present article, we replicate and extend a new approach for determining the prevalence of dyslexia. Using model-based meta-analysis and simulation, three main results were found. First, the prevalence of dyslexia is better represented as a distribution that varies as a function of severity as opposed to any single-point estimate. Second, samples of poor readers will contain more expected poor readers than unexpected or dyslexic readers. Third, individuals with dyslexia can be found across the reading spectrum as opposed to only at the lower tail of reading performance. These results have implications for screening and identification, and for recruiting participants for scientific studies of dyslexia.

Indexed as

ComprehensionModels, PsychologicalModels, StatisticalAcademic PerformanceBayes TheoremChildComputer SimulationDyslexiaHumansLanguage TestsMeta-Analysis as TopicPrevalenceBayesian modelsdiagnosisdyslexiaprevalencereading disability

Identifiers

PMID32452713
PMCPMC8183124

What OpenQuestion holds

Textmetadata
LicenceTDM
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.