ArticleLearning disabilities research & practice : a publication of the Division for Learning Disabilities, Council for Exceptional Children2022
Predicting Risk for Comorbid Reading and Mathematics Disability Using Fluency-Based Screening Assessments.
Article in Learning disabilities research & practice : a publication of the Division for Learning Disabilities, Council for Exceptional Children, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
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Who cites it
2 citing papers in PubMed.
- Prevalence of risk for dyslexia, risk for dyscalculia, and their comorbidity in Spanish primary education: gender difference and socioeconomic status.Frontiers in psychology · 2025Article
- Comorbid Word Reading and Mathematics Computation Difficulty at Start of First Grade.Journal of learning disabilitiesArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The first purpose of this study was to examine the prevalence of risk for comorbid reading and mathematics disabilities (RMD) at start of first grade, when measured in a representative sample of 3,062 students with first-grade fluency measures (word reading; computation). The second purpose was to examine the utility of these measures for predicting RMD status within a sample of 577 students when RMD status was assessed at the end of second grade in terms of reading and math accuracy. When set at or below the 16
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Registered trials
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.