Evidence map›Paper›PMID 36320609›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2022

Speech and language characteristics differentiate Alzheimer's disease and dementia with Lewy bodies.

Yasunori Yamada, Kaoru Shinkawa, Miyuki Nemoto, Miho Ota, Kiyotaka Nemoto, Tetsuaki Arai

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Article
  5. Article
  6. Speech patterns during memory recall relates to early tau burden across adulthood.Alzheimer's & dementia : the journal of the Alzheimer's Association · 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

6 authors.

Yasunori YamadaDigital Health IBM Research Chuo-ku Tokyo Japan.ORCID https://orcid.org/0000-0003-3333-4368
Kaoru ShinkawaDigital Health IBM Research Chuo-ku Tokyo Japan.ORCID https://orcid.org/0000-0002-3869-1922
Miyuki NemotoDepartment of Psychiatry Division of Clinical Medicine Faculty of Medicine University of Tsukuba Tsukuba Ibaraki Japan.ORCID https://orcid.org/0000-0002-1969-5098
Miho OtaDepartment of Psychiatry Division of Clinical Medicine Faculty of Medicine University of Tsukuba Tsukuba Ibaraki Japan.ORCID https://orcid.org/0000-0001-8873-0822
Kiyotaka NemotoDepartment of Psychiatry Division of Clinical Medicine Faculty of Medicine University of Tsukuba Tsukuba Ibaraki Japan.ORCID https://orcid.org/0000-0001-8623-9829
Tetsuaki AraiDepartment of Psychiatry Division of Clinical Medicine Faculty of Medicine University of Tsukuba Tsukuba Ibaraki Japan.ORCID https://orcid.org/0000-0003-4355-3900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Early differential diagnosis of Alzheimer's disease (AD) and dementia with Lewy bodies (DLB) is important, but it remains challenging. Different profiles of speech and language impairments between AD and DLB have been suggested, but direct comparisons have not been investigated. Methods: We collected speech responses from 121 older adults comprising AD, DLB, and cognitively normal (CN) groups and investigated their acoustic, prosodic, and linguistic features. Results: The AD group showed larger differences from the CN group than the DLB group in linguistic features, while the DLB group showed larger differences in prosodic and acoustic features. Machine-learning classifiers using these speech features achieved 87.0% accuracy for AD versus CN, 93.2% for DLB versus CN, and 87.4% for AD versus DLB. Discussion: Our findings indicate the discriminative differences in speech features in AD and DLB and the feasibility of using these features in combination as a screening tool for identifying/differentiating AD and DLB.

Indexed as

acousticdigital healthlanguage impairmentlinguisticmachine learningnatural language processingprosodicspontaneous speech

Identifiers

PMID36320609
PMCPMC9614050

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.