Evidence map›Paper›PMID 31058570›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2019

Language Growth Predicts Stuttering Persistence Over and Above Family History and Treatment Experience: Response to Marcotte.

Kathryn A Leech, Nan Bernstein Ratner, Barbara Brown, Christine M Weber

Abstract readLetterComment
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Multiple-Community-Based Epidemiological Study of Stuttering among 3-Year-Old Children in Japan.Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP) · 2025
    Article
  2. Article
  3. Article
  4. What Is the Role of Questioning in Young Children's Fluency?American journal of speech-language pathology · 2022
    Article
  5. Article
  6. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Kathryn A LeechHarvard University, Graduate School of Education, Cambridge, MA.
Nan Bernstein RatnerUniversity of Maryland, Department of Hearing and Speech Sciences, College Park.
Barbara BrownPurdue University, Department of Speech, Language, and Hearing Sciences, West Lafayette, IN.
Christine M WeberPurdue University, Department of Speech, Language, and Hearing Sciences, West Lafayette, IN.

Funding

PHYSIOLOGICAL CORRELATES OF STUTTERINGR01DC000559 · NIDCD · PURDUE UNIVERSITY WEST LAFAYETTE · PI SMITH, ANNE, WEBER, CHRISTINE M · 1989 to 2017
$9.4M
A shared database for the study of the development of language fluencyR01DC015494 · NIDCD · CARNEGIE-MELLON UNIVERSITY · PI MACWHINNEY, BRIAN · 2016 to 2020
$1.6M
NIDCD NIH HHS R01 DC000559NIDCD NIH HHS R01 DC015494
6 · The paper itself

Abstract

Purpose This response addresses comments made by Marcotte (2019) regarding our recent publication, "Preliminary Evidence That Growth in Productive Language Differentiates Childhood Stuttering Persistence and Recovery" ( Leech, Bernstein Ratner, Brown, & Weber, 2017 ). Marcotte calls into question our finding that language growth is a valid predictor of recovery from stuttering because we did not account for treatment and family history. Conclusions In response to her comments, we provide additional empirical analyses couched in a larger discussion of the difficulty of calibrating treatment and family history of stuttering. In short, we show that once treatment history and family history of stuttering are accounted for, the effect of language growth remains a significant predictor of stuttering persistence.

Indexed as

StutteringAttentionChildFemaleHumansLanguage

Identifiers

PMID31058570
PMCPMC6808319

What OpenQuestion holds

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Registered trials

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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.