Evidence map›Paper›PMID 32331503›Full record

ArticleAmerican journal of speech-language pathology2020

Using Crowdsourced Listeners' Ratings to Measure Speech Changes in Hypokinetic Dysarthria: A Proof-of-Concept Study.

Christopher Nightingale, Michelle Swartz, Lorraine Olson Ramig, Tara McAllister

Open access · greenAbstract read
In one paragraph

Article in American journal of speech-language pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

13 citing papers in PubMed, 23 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Christopher NightingaleNew York University, New York, NY.
Michelle SwartzMontclair State University, Bloomfield, NJ.
Lorraine Olson RamigUniversity of Colorado at Boulder, Boulder, CO.
Tara McAllisterNew York University, New York, NY.
New York University · USColumbia University · USMontclair State University · US

Funding

EFFICACY OF VOICE TREATMENT FOR PARKINSONS DISEASER01DC001150 · NIDCD · UNIVERSITY OF COLORADO AT BOULDER · PI RAMIG, LORRAINE O. · 1990 to 2011
$5.8M
Biofeedback-Enhanced Treatment for Speech Sound Disorder: Randomized Controlled Trial and Delineation of Sensorimotor SubtypesR01DC017476 · NIDCD · NEW YORK UNIVERSITY · PI Tara McAllister · 2019 to 2026
$5.3M
staRt: Enhancing speech treatment with smartphone-delivered biofeedbackR41DC016778 · NIDCD · GIRLFRIENDS LABS, LLC · PI MCALLISTER, TARA · 2018 to 2018
$223k
NIDCD NIH HHS R01 DC001150NIDCD NIH HHS R01 DC017476NIDCD NIH HHS R41 DC016778
6 · The paper itself

Abstract

Purpose Interventions for speech disorders aim to produce changes that are not only acoustically measurable or perceptible to trained professionals but are also apparent to naive listeners. Due to challenges associated with obtaining ratings from suitably large listener samples, however, few studies currently evaluate speech interventions by this criterion. Online crowdsourcing technologies could enhance the measurement of intervention effects by making it easier to obtain real-world listeners' ratings. Method Stimuli, drawn from a published study by Sapir et al. ("Effects of intensive voice treatment (Lee Silverman Voice Treatment [LSVT]) on vowel articulation in dysarthric individuals with idiopathic Parkinson disease: Acoustic and perceptual findings" in

Indexed as

CrowdsourcingSpeech PerceptionDysarthriaHumansSpeechSpeech AcousticsSpeech IntelligibilitySpeech Production MeasurementSpeech Therapy

Identifiers

PMID32331503
PMCPMC7842862
OpenAlexW2950428927

What OpenQuestion holds

Textmetadata
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.