Evidence map›Paper›PMID 30881321›Full record

ArticleFrontiers in psychology2019

Correlates of Orthographic Learning in Swedish Children With Cochlear Implants.

Malin Wass, Ulrika Löfkvist, Lena Anmyr, Eva Karltorp, Elisabet Östlund, Björn Lyxell

Abstract read
In one paragraph

Article in Frontiers in psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Malin WassDepartment of Business Administration, Technology and Social Sciences, Luleå University of Technology, Luleå, Sweden.
Ulrika LöfkvistDepartment of Special Needs Education, University of Oslo, Oslo, Norway.
Lena AnmyrDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, Solna, Sweden.
Eva KarltorpDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, Solna, Sweden.
Elisabet ÖstlundDepartment of Otorhinolaryngology, Karolinska University Hospital, Stockholm, Sweden.
Björn LyxellDepartment of Special Needs Education, University of Oslo, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study set out to explore the cognitive and linguistic correlates of orthographic learning in a group of 32 deaf and hard of hearing children with cochlear implants, to better understand the factors that affect the development of fluent reading in these children. To date, the research about the mechanisms of reading fluency and orthographic learning in this population is scarce. The children were between 6:0 and 10:11 years of age and used oral language as their primary mode of communication. They were assessed on orthographic learning, reading fluency and a range of cognitive and linguistic skills including working memory measures, word retrieval and paired associate learning. The results were analyzed in a set of correlation analyses. In line with previous findings from children with typical hearing, orthographic learning was strongly correlated with phonological decoding, receptive vocabulary, phonological skills, verbal-verbal paired-associate learning and word retrieval. The results of this study suggest that orthographic learning in children with CI is strongly dependent on similar cognitive and linguistic skills as in typically hearing peers. Efforts should thus be made to support phonological decoding skill, vocabulary, and phonological skills in this population.

Indexed as

cochlear implantsdeaf and hard of hearing childrenorthographic learningreading developmentreading fluency

Identifiers

PMID30881321
PMCPMC6405438

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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.