Evidence map›Paper›PMID 31038832›Full record

SynthesisNew directions for child and adolescent development2019

Combining Old and New for Better Understanding and Predicting Dyslexia.

Richard K Wagner, Ashley A Edwards, Antje Malkowski, Chris Schatschneider, Rachel E Joyner, Sarah Wood, Fotena A Zirps

Abstract readMeta-Analysis
In one paragraph

Synthesis in New directions for child and adolescent development, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. A Bayesian Probabilistic Framework for Identification of Individuals with Dyslexia.Scientific studies of reading : the official journal of the Society for the Scientific Study of Reading · 2023
    Article
  6. Article
  7. Article
  8. 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

7 authors.

Richard K WagnerFlorida State University.
Ashley A EdwardsFlorida State University.
Antje MalkowskiFlorida State University.
Chris SchatschneiderFlorida State University.
Rachel E JoynerFlorida State University.
Sarah WoodFlorida State University.
Fotena A ZirpsFlorida State University.

Funding

THE FLORIDA LONGITUDINAL STUDYP50HD052120 · NICHD · FLORIDA STATE UNIVERSITY · PI Nicole Sandi Patton-Terry · 2006 to 2026
$31.7M
National Institute of Child Health and Human Development P50 HD52120NICHD NIH HHS P50 HD052120
6 · The paper itself

Abstract

Despite decades of research, it has been difficult to achieve consensus on a definition of common learning disabilities such as dyslexia. This lack of consensus represents a fundamental problem for the field. Our approach to addressing this issue is to use model-based meta-analyses and Bayesian models with informative priors to combine the results of a large number of studies for the purpose of yielding a more stable and well-supported conceptualization of reading disability. A prerequisite to implementing these models is establishing informative priors for dyslexia. We illustrate a new approach for doing so based on the known distribution of the difference between correlated variables, and use this distribution to determine the proportion of poor readers whose poor reading is unexpected (i.e., likely to be due to dyslexia) as opposed to expected.

Indexed as

DyslexiaModels, TheoreticalChildHumans

Identifiers

PMID31038832
PMCPMC6522266

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.