Evidence map›Paper›PMID 39659971›Full record

ArticleBrain communications2024

Lexical markers of disordered speech in primary progressive aphasia and 'Parkinson-plus' disorders.

Shalom K Henderson, Siddharth Ramanan, Karalyn E Patterson, Peter Garrard, Nikil Patel, Katie A Peterson, Ajay Halai, Stefano F Cappa, James B Rowe, Matthew A Lambon Ralph

Abstract read
In one paragraph

Article in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

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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

10 authors.

Shalom K HendersonMedical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 7EF, UK.ORCID https://orcid.org/0000-0001-5522-2098
Siddharth RamananMedical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 7EF, UK.
Karalyn E PattersonMedical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 7EF, UK.ORCID https://orcid.org/0000-0003-1927-7424
Peter GarrardMolecular and Clinical Sciences Research Institute, St George's University of London, London SW17 ORE, UK.ORCID https://orcid.org/0000-0001-8268-9718
Nikil PatelMolecular and Clinical Sciences Research Institute, St George's University of London, London SW17 ORE, UK.ORCID https://orcid.org/0000-0003-2888-9668
Katie A PetersonDepartment of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK.
Ajay HalaiMedical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 7EF, UK.ORCID https://orcid.org/0000-0003-1725-7948
Stefano F CappaUniversity Institute for Advanced Studies IUSS, 27100, Pavia, Italy.ORCID https://orcid.org/0000-0003-1003-3925
James B RoweMedical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 7EF, UK.
Matthew A Lambon RalphMedical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 7EF, UK.ORCID https://orcid.org/0000-0001-5907-2488

Funding

Medical Research Council MR/P01271X/1Wellcome Trust
6 · The paper itself

Abstract

Connected speech samples elicited by a picture description task are widely used in the assessment of aphasias, but it is not clear what their interpretation should focus on. Although such samples are easy to collect, analyses of them tend to be time-consuming, inconsistently conducted and impractical for non-specialist settings. Here, we analysed connected speech samples from patients with the three variants of primary progressive aphasia (semantic, svPPA

Indexed as

connected speechlexico-semantic word propertiesParkinson-plus disorderspicture description word checklistprimary progressive aphasia

Identifiers

PMID39659971
PMCPMC11630745

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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.