Evidence map›Paper›PMID 40981262›Full record

ReviewNeuroSci2025

An Update on New Approaches to Cognitive Assessment in Multiple Sclerosis.

Jacob Balconi, Dawn Langdon, Bishal Dhakal, Ralph H B Benedict

Abstract readReview
In one paragraph

Review in NeuroSci, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Assessing verbal and spatial memory via smartphone.Frontiers in digital health · 2026
    Article
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

4 authors.

Jacob BalconiJacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA.ORCID 0009-0000-7280-337X
Dawn LangdonDepartment of Psychology, Royal Holloway University of London, Egham TW20 0EX, UK.ORCID 0000-0003-1128-7417
Bishal DhakalJacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA.ORCID 0000-0001-9432-5233
Ralph H B BenedictJacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accessible, dependable cognitive assessment is integral to patient care of people with multiple sclerosis (PwMS). Traditional neuropsychological tests are well validated in the multiple sclerosis (MS) population, but not without limitations, such as the time and financial cost associated with traditional in person administration. Recent endeavors have sought to refine assessment, with particular attention to psychometric properties, accessibility, efficiency, and other practical considerations. One approach has been to streamline neuropsychological batteries to brief measures of essential domains, such as the Brief International Cognitive Assessment for MS (BICAMS). Another approach is the use of computerized neuropsychological assessment devices (CNADs). A systematic review of CNADs in PwMS was published in 2019. However, research has continued to expand in the years since. Here, we present an updated review of the BICAMS and further development of CNADs in MS. Tests with strong psychometric foundations are highlighted.

Indexed as

BICAMScognitioncomputerized neuropsychological assessment devicesmultiple sclerosisneuropsychological testspsychometrics

Identifiers

PMID40981262
PMCPMC12452307

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.