Evidence map›Paper›PMID 37842762›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2023

Establishing the consistency of a voice recognition symbol digit modalities test analogue.

Margaret Wishart, Marina R Everest, Sarah A Morrow, Jonathan Rose, Lingkai Shen, Anthony Feinstein

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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 at 3 institutions in 1 country.

Margaret WishartDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada.ORCID 0009-0009-6543-847X
Marina R EverestDepartment of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada.ORCID 0009-0003-6044-464X
Sarah A MorrowDepartment of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada.
Jonathan RoseThe Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-3551-2175
Lingkai ShenThe Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto, Toronto, ON, Canada.
Anthony FeinsteinDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-0132-0909
Sunnybrook Health Science Centre · CAUniversity of Toronto · CAWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe previously demonstrated the convergent validity of a fully automated voice recognition analogue of the Symbol Digit Modalities Test (VR-SDMT) for evaluating processing speed in people with multiple sclerosis (pwMS). OBJECTIVE/

methodsWe aimed to replicate these results in 54 pwMS and 18 healthy controls (HCs), demonstrating the VR-SDMT's reliability.

resultsSignificant correlations were found between the VR-SDMT and the traditional oral SDMT in the multiple sclerosis (MS) (

conclusionTaken collectively, our two studies demonstrate the reliability and validity of the VR-SDMT for assessing processing speed in pwMS.

Indexed as

Multiple SclerosisVoice RecognitionHumansNeuropsychological TestsProcessing SpeedReproducibility of Resultsautomated testingcognitive assessmentinformation processing speedMultiple sclerosisSDMT

Identifiers

PMID37842762
PMCPMC10637108
OpenAlexW4387661542

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.