Evidence map›Paper›PMID 39233447›Full record

ArticleEuropean journal of neurology2025

Development and validation of an electronic Symbol-Digit Modalities Test for remote monitoring of people with multiple sclerosis.

Michelangelo Dini, Giulia Gamberini, Marta Tacchini, Angela Boschetti, Alessandro Gradassi, Luca Chiveri, Mariaemma Rodegher, Giancarlo Comi, Letizia Leocani

Abstract readValidation Study
In one paragraph

Article in European journal of neurology, 2025. 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

9 authors.

Michelangelo DiniVita-Salute San Raffaele University, Milan, Italy.ORCID 0000-0002-2430-8902
Giulia GamberiniDepartment of Neurorehabilitation Sciences, Casa di Cura Igea, Milan, Italy.
Marta TacchiniVita-Salute San Raffaele University, Milan, Italy.
Angela BoschettiVita-Salute San Raffaele University, Milan, Italy.
Alessandro GradassiDepartment of Neurorehabilitation Sciences, Casa di Cura Igea, Milan, Italy.
Luca ChiveriDepartment of Neurorehabilitation Sciences, Casa di Cura Igea, Milan, Italy.
Mariaemma RodegherDepartment of Neurorehabilitation Sciences, Casa di Cura Igea, Milan, Italy.
Giancarlo ComiDepartment of Neurorehabilitation Sciences, Casa di Cura Igea, Milan, Italy.
Letizia LeocaniVita-Salute San Raffaele University, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputerized cognitive tests may extend the reach of cognitive screening and monitoring to those with mobility issues or living in remote areas. Moreover, it could enable frequent and autonomous remote cognitive assessments in people with multiple sclerosis (pwMS) on account of its reduced economic and organizational costs. This may further improve our understanding of longitudinal trends and significantly improve the standard of care for pwMS living in remote areas or with mobility limitations. We aimed to evaluate the psychometric properties of an electronic Symbol-Digit Modalities Test (eSDMT) designed to allow pwMS to perform a rapid cognitive assessment independently from home using their own PC/laptop.

methodsSixty-two participants underwent a neuropsychological evaluation, and then performed the eSDMT in the clinic. Forty-two participants also repeated the eSDMT at home. We assessed concurrent validity (eSDMT vs. oral SDMT), test-retest reliability (in the clinic vs. at home), discriminant validity (pwMS with/without cognitive impairment), and other psychometric characteristics of the eSDMT (effect of age, sex, and education on test scores).

resultsWe observed good-to-excellent concurrent validity (r ≥ 0.84, all p < 0.0001) and test-retest reliability (intraclass correlation coefficients [ICCs]>0.87, all p < 0.0001). Discriminant validity was excellent (area under the curves [AUCs] >0.84, all p < 0.0001). eSDMT scores were only slightly influenced by demographic characteristics (all R

conclusionsWe provided evidence which supports the use of our eSDMT as a feasible, valid, and reliable remote assessment of cognitive function in pwMS. Future studies will investigate long-term reliability and predictive power.

Indexed as

Multiple SclerosisNeuropsychological TestsPsychometricsAdultAgedCognitive DysfunctionFemaleHumansMaleMiddle AgedReproducibility of Resultscognitiondigital healthmultiple sclerosistelemedicine

Identifiers

PMID39233447
PMCPMC11622282

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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.