Evidence map›Paper›PMID 32723128›Full record

ArticleJournal of geriatric psychiatry and neurology2021

Using Automatic Assessment of Speech Production to Predict Current and Future Cognitive Function in Older Adults.

Rachel Ostrand, John Gunstad

Open access · hybridAbstract read
In one paragraph

Article in Journal of geriatric psychiatry and neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

27 citing papers in PubMed, 44 citations in OpenAlex.

  1. Age and Discourse Task Independently Influence Disfluency Production.Journal of speech, language, and hearing research : JSLHR · 2026
    Article
  2. Evaluating Components of Vocal Effort in Transgender Women.Laryngoscope investigative otolaryngology · 2026
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  13. Detecting the Impact of Older Adult Healthy Brain Aging Behaviour Adoption Using Smart Home Technology.Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science · 2024
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  16. Distinguishable features of spontaneous speech in Alzheimer's clinical syndrome and healthy controls.Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition · 2024
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  18. SayProceedings of the 6th ACM Conference on Conversational User Interfaces. ACM Conference on Conversational User Interfaces (6th : 2024 : Luxembourg, Luxembourg) · 2024
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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

2 authors at 2 institutions in 1 country.

Rachel OstrandDepartment of Healthcare and Life Sciences, 74286IBM Research, Yorktown Heights, NY, USA.ORCID 0000-0001-5491-7656
John GunstadDepartment of Psychological Sciences & Brain Health Research Institute, 4229Kent State University, Kent, OH, USA.
IBM (United States) · USKent State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodegenerative conditions like Alzheimer disease affect millions and have no known cure, making early detection important. In addition to memory impairments, dementia causes substantial changes in speech production, particularly lexical-semantic characteristics. Existing clinical tools for detecting change often require considerable expertise or time, and efficient methods for identifying persons at risk are needed. This study examined whether early stages of cognitive decline can be identified using an automated calculation of lexical-semantic features of participants' spontaneous speech. Unimpaired or mildly impaired older adults (N = 39, mean 81 years old) produced several monologues (picture descriptions and expository descriptions) and completed a neuropsychological battery, including the Modified Mini-Mental State Exam. Most participants (N = 30) returned one year later for follow-up. Lexical-semantic features of participants' speech (particularly lexical frequency) were significantly correlated with cognitive status at the same visit and also with cognitive status one year in the future. Thus, automated analysis of speech production is closely associated with current and future cognitive test performance and could provide a novel, scalable method for longitudinal tracking of cognitive health.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAgedAged, 80 and overCognitionHumansNeuropsychological TestsSpeech3MSautomated assessmentcognitive declinedementiaearly detectionlexical frequency

Identifiers

PMID32723128
PMCPMC8326891
OpenAlexW3046170740

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.