Evidence map›Paper›PMID 36686519›Full record

ArticleFrontiers in neurology2022

Face and content validation of the amyotrophic lateral sclerosis-Bulbar dysfunction index (ALS-BDI).

Yana Yunusova, Ashley Waito, Carolina Barnett Tapia, Anna Huynh, Rosemary Martino, Agessandro Abrahao, Gary L Pattee, James D Berry, Lorne Zinman, Jordan R Green

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
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  4. 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

10 authors at 8 institutions in 2 countries.

Yana YunusovaDepartment of Speech-Language Pathology, Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada.
Ashley WaitoHurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.
Carolina Barnett TapiaDivision of Neurology, Department of Medicine, University of Toronto and University Health Network, Toronto, ON, Canada.
Anna HuynhDepartment of Speech-Language Pathology, Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada.
Rosemary MartinoDepartment of Speech-Language Pathology, Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada.
Agessandro AbrahaoDivision of Neurology, Department of Medicine, University of Toronto and University Health Network, Toronto, ON, Canada.
Gary L PatteeNeurology Associates, P.C., Lincoln, NE, United States.
James D BerrySean M. Healey and AMG Center for ALS, Massachusetts General Hospital, Boston, MA, United States.
Lorne ZinmanDivision of Neurology, Department of Medicine, University of Toronto and University Health Network, Toronto, ON, Canada.
Jordan R GreenDepartment of Communication Sciences and Disorders, MGH Institute of Health Professions, Boston, MA, United States.
Toronto Rehabilitation Institute · CAKrembil Research InstituteMassachusetts General Hospital · USMGH Institute of Health Professions · USPublic Health Ontario · CASunnybrook Research InstituteUniversity Health Network · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Early detection and tracking of bulbar dysfunction in amyotrophic lateral sclerosis (ALS) are critical for directing management of the disease. Existing physiological assessments of bulbar dysfunction are often inaccessible and cost-prohibitive for clinical application. Existing clinical assessments are limited. The overall goal of our research is to develop a brief and reliable, clinician-administered assessment tool, the ALS Bulbar Dysfunction Index (ALS-BDI) to evaluate bulbar dysfunction. The aim of this study was to establish content and face validity of the ALS-BDI through item generation and reduction, including item scoring. Methods: The design of the ALS-BDI followed guidelines outlined by the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN). The design stage of the ALS-BDI involved two steps: (Step 1) the generation of candidate items from a literature review of commonly used clinical tools, and selection of items following a review of item reliability and item relevance and expert consensus; (Step 2) the assessment of their content and face validity Results: Two drafts of the ALS-BDI were developed. The first draft contained 48 items, after a review of existing clinical tools for their relevance to bulbar dysfunction in ALS. Of the 48 items, 35 items were retained after surveying experts and clinician users for their relevance, feasibility, interpretability, and appropriateness. The second draft of the ALS-BDI contained 37 items, due to one item splitting, based on users cognitive interviews. Conclusions: The ALS-BDI described in this study aims to provide a brief and reliable, clinician-administered assessment tool to evaluate bulbar dysfunction in patients with ALS. Future research will evaluate the psychometric properties of this tool including its reliability, validity, and responsiveness to change over time.

Indexed as

ALS-BDIassessmentbulbar ALSCOSMINdevelopmentrehabilitation

Identifiers

PMID36686519
PMCPMC9849694
OpenAlexW4313509112

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.