Evidence map›Paper›PMID 31161304›Full record

ArticleJournal of autism and developmental disorders2019

Developing a Diagnostic Algorithm for the Music-Based Scale for Autism Diagnostics (MUSAD) Assessing Adults with Intellectual Disability.

Thomas Bergmann, Manuel Heinrich, Matthias Ziegler, Isabel Dziobek, Albert Diefenbacher, Tanja Sappok

Abstract readValidation Study
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In one paragraph

Article in Journal of autism and developmental disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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.

Thomas BergmannEvangelisches Krankenhaus Königin Elisabeth Herzberge, Herzbergstrasse 79, 10365, Berlin, Germany. bergmann.t@t-online.de.ORCID http://orcid.org/0000-0003-2147-4793
Manuel HeinrichDivision of Clinical-Psychological Intervention, Department of Education and Psychology, Freie Universität Berlin, Schwendenerstrasse 27, 14195, Berlin, Germany.
Matthias ZieglerFaculty of Life Sciences/Department of Psychology, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099, Berlin, Germany.
Isabel DziobekBerlin School of Mind and Brain, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099, Berlin, Germany.
Albert DiefenbacherEvangelisches Krankenhaus Königin Elisabeth Herzberge, Herzbergstrasse 79, 10365, Berlin, Germany.
Tanja SappokEvangelisches Krankenhaus Königin Elisabeth Herzberge, Herzbergstrasse 79, 10365, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Initial studies have presented the Music-based Scale for Autism Diagnostics (MUSAD) as a promising DSM-5-based observational tool to identify autism spectrum disorder (ASD) in adults with intellectual disability (ID). The current study is the first to address its clinical utility in a new sample of 124 adults with ID (60.5% diagnosed with ASD). The derived diagnostic algorithm differentiated well between individuals with and without ASD (sensitivity 79%, specificity 74%, area under the curve = 0.81). Inter-rater reliability, assessed by the scorings of four independent experts in 22 consensus cases, was excellent (ICC = 0.92). Substantial correlations with scores from other ASD-specific measures indicated convergent validity. The MUSAD yields accurate and reliable scores, supporting comprehensive ASD diagnostics in adults with ID.

Indexed as

AlgorithmsAdultArea Under CurveAutism Spectrum DisorderDiagnostic and Statistical Manual of Mental DisordersFemaleHumansIntellectual DisabilityMaleMusicPsychological TestsReproducibility of ResultsSensitivity and SpecificityAdultsAutism spectrum disorderDiagnosticIntellectual disabilityMusic

Identifiers

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.