Evidence map›Paper›PMID 28355886›Full record

ArticleAmyotrophic lateral sclerosis & frontotemporal degeneration2017

The diagnostic utility of patient-report and speech-language pathologists' ratings for detecting the early onset of bulbar symptoms due to ALS.

Kristen M Allison, Yana Yunusova, Thomas F Campbell, Jun Wang, James D Berry, Jordan R Green

Open access · greenAbstract read
In one paragraph

Article in Amyotrophic lateral sclerosis & frontotemporal degeneration, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

49 citing papers in PubMed, 87 citations in OpenAlex.

  1. Trial
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  3. A Cross-Language Study of Oral Diadochokinesis: Rates and Rhythm.Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP) · 2026
    Article
  4. Differentiating upper- and lower motor neuron diseases using automated acoustic analysis.Amyotrophic lateral sclerosis & frontotemporal degeneration · 2025
    Article
  5. Article
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  8. Review
  9. Multimodal Technologies for Remote Assessment of Neurological and Mental Health.Journal of speech, language, and hearing research : JSLHR · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Multimodal Speech Biomarkers for Remote Monitoring of ALS Disease Progression.medRxiv : the preprint server for health sciences · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Improving Dysarthric Speech Segmentation With Emulated and Synthetic Augmentation.IEEE journal of translational engineering in health and medicine · 2024
    Article
  18. Article
  19. Article
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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

6 authors at 4 institutions in 2 countries.

Kristen M Allisona Department of Communication Sciences and Disorders , MGH Institute of Health Professions , Boston , MA , USA.
Yana Yunusovab Department of Speech-Language Pathology , University of Toronto , Toronto , Canada.
Thomas F Campbellc Callier Center for Communication Disorders , University of Texas at Dallas , Dallas , TX , USA , and.
Jun Wangc Callier Center for Communication Disorders , University of Texas at Dallas , Dallas , TX , USA , and.
James D Berryd MDA ALS Clinic, Massachusetts General Hospital , Boston , MA , USA.
Jordan R Greena Department of Communication Sciences and Disorders , MGH Institute of Health Professions , Boston , MA , USA.
MGH Institute of Health Professions · USThe University of Texas at Dallas · USMassachusetts General Hospital · USUniversity of Toronto · CA

Funding

SPEECH MOVEMENT CLASSIFICATION FOR ASSESSING AND TREATING ALSR01DC013547 · NIDCD · MGH INSTITUTE OF HEALTH PROFESSIONS · PI GREEN, JORDAN R · 2014 to 2018
$3.2M
Bulbar Motor Deterioration in ALSR01DC009890 · NIDCD · UNIVERSITY OF NEBRASKA LINCOLN · PI GREEN, JORDAN R, YUNUSOVA, YANA · 2009 to 2013
$2.3M
NIDCD NIH HHS R01 DC009890NIDCD NIH HHS R01 DC013547
6 · The paper itself

Abstract

objectiveThis study aimed to determine the diagnostic utility of clinician speech ratings and patient self-report for detecting early bulbar changes associated with amyotrophic lateral sclerosis (ALS), compared to instrumentation-based speech measures.

methodsThirty-six individuals with ALS and 17 healthy control participants were included. Patients' awareness of early bulbar motor involvement was assessed using self-reported scores on the Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised (ALSFRS-R). Clinicians' detection of early bulbar motor involvement was assessed through perceptual speech ratings by two experienced speech-language pathologists. Participants with ALS were grouped as 'bulbar pre-symptomatic' or 'bulbar symptomatic' based on self-report and clinician ratings, and compared to healthy controls on six instrumentation-based speech measures. ROC analysis was used to compare the sensitivity and specificity of perceptual and instrumentation-based measures for detecting bulbar changes in pre-symptomatic individuals.

resultsEarly bulbar changes that were documented using instrumentation-based measures were undetected by both patients and clinicians. ROC analyses indicated that instrumentation-based measures outperformed clinicians' scaled severity ratings, and that percent pause time was the best measure for differentiating healthy controls from bulbar pre-symptomatic individuals with ALS.

conclusionsFindings suggested that instrumentation-based measures of speech may be necessary for early detection of bulbar changes due to ALS.

Indexed as

AdultAgedAmyotrophic Lateral SclerosisFemaleHumansMaleMiddle AgedSelf ReportSpeech DisordersSpeech-Language PathologySpeech TherapyBulbarearly detectionspeech motor impairment

Identifiers

PMID28355886
PMCPMC5530595
OpenAlexW2600737526

What OpenQuestion holds

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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.