Evidence map›Paper›PMID 26381474›Full record

ArticleAmerican journal of speech-language pathology2015

Verbal Description of Concrete Objects: A Method for Assessing Semantic Circumlocution in Persons With Aphasia.

Sharon M Antonucci, Colleen MacWilliam

Open access · bronzeAbstract read
In one paragraph

Article in American journal of speech-language pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 95% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Observational
  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

2 authors at 1 institution in 1 country.

Sharon M Antonucci
Colleen MacWilliam
Worcester State University · US

Funding

SEMANTIC FEATURE PROCESSING IN INDIVIDUALS WITH STROKE APHASIAR03DC010262 · NIDCD · WORCESTER STATE COLLEGE · PI ANTONUCCI, SHARON · 2010 to 2012
$409k
NIDCD NIH HHS R03 DC010262NIDCD NIH HHS R03DC010262
6 · The paper itself

Abstract

purposeWe investigated from a theoretically motivated perspective what information differentiated sufficient from insufficient descriptions of objects provided by persons with aphasia.

methodTwenty-one adults with aphasia consequent to single left-hemisphere stroke verbally described 9 living and 9 nonliving objects. Responses were scored for accuracy (i.e., sufficiency) and tallied for type and quantity of semantic feature information provided. Main effects and interactions were identified using repeated measures analyses of variance, with significant findings followed up with planned comparisons.

resultsDifferences between correct and incorrect descriptions were identified with respect to both feature type and feature distinctiveness for living and nonliving items, in particular highlighting the importance of distinctive features in descriptions of both domains.

conclusionsThese findings add to the relatively small body of literature investigating semantic feature processing in adults with aphasia. This is a critical gap to close when considered in light of the preponderance of semantically based treatments for word-retrieval impairment in stroke-aphasia. Our findings provide preliminary support for the notion that semantically guided treatments for word-retrieval impairment in stroke-aphasia may be geared toward increasing specificity of semantic circumlocution to increase semantic self-cueing and to improve communication of information to conversation partners.

Indexed as

Neuropsychological TestsPattern Recognition, VisualSemanticsVerbal BehaviorAdultAgedAphasiaCerebral InfarctionFemaleHumansMaleMiddle AgedSpeech Production Measurement

Identifiers

PMID26381474
PMCPMC4698471
OpenAlexW1903496222

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.