Evidence map›Paper›PMID 33627777›Full record

ArticleNPJ digital medicine2021

Smartphone-based symbol-digit modalities test reliably captures brain damage in multiple sclerosis.

Linh Pham, Thomas Harris, Mihael Varosanec, Vanessa Morgan, Peter Kosa, Bibiana Bielekova

Open access · goldAbstract read
In one paragraph

Article in NPJ digital medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. A smartphone sensor-based digital outcome assessment of multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2022
    Trial
  5. Trial
  6. Article
  7. Article
  8. Assessing verbal and spatial memory via smartphone.Frontiers in digital health · 2026
    Article
  9. Article
  10. Review
  11. Plateau of practice effects and noise with repeat SDMT testing in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025
    Article
  12. Differential Validity in the Written, Oral, and Electronic SDMT in Multiple Sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025
    Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Linh PhamNeuroimmunological Diseases Section (NDS), Laboratory of Clinical Immunology and Microbiology (LCIM), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-6664-726X
Thomas HarrisNeuroimmunological Diseases Section (NDS), Laboratory of Clinical Immunology and Microbiology (LCIM), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA.
Mihael VarosanecNeuroimmunological Diseases Section (NDS), Laboratory of Clinical Immunology and Microbiology (LCIM), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA.
Vanessa MorganNeuroimmunological Diseases Section (NDS), Laboratory of Clinical Immunology and Microbiology (LCIM), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-5854-8277
Peter KosaNeuroimmunological Diseases Section (NDS), Laboratory of Clinical Immunology and Microbiology (LCIM), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA.
Bibiana BielekovaNeuroimmunological Diseases Section (NDS), Laboratory of Clinical Immunology and Microbiology (LCIM), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA. bibi.bielekova@nih.gov.ORCID http://orcid.org/0000-0002-0959-9430
National Institutes of Health · US

Funding

Comprehensive multimodal analysis of patients with neuroimmunological diseasesZIAAI001242 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI BIELEKOVA, BIBIANA · 2019 to 2025
$12.9M
South Texas Medical Scientist Training Program (STX-MSTP)T32GM113896 · NIGMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CAVAZOS, JOSE E · 2018 to 2022
$1.1M
Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID) AI001242Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID) AI001243NIGMS NIH HHS T32 GM113896
6 · The paper itself

Abstract

As the burden of neurodegenerative diseases increases, time-limited clinic encounters do not allow quantification of complex neurological functions. Patient-collected digital biomarkers may remedy this, if they provide reliable information. However, psychometric properties of digital tools remain largely un-assessed. We developed a smartphone adaptation of the cognitive test, the Symbol-Digit Modalities Test (SDMT) by randomizing the test's symbol-number codes and testing sequences. The smartphone SDMT showed comparable psychometric properties in 154 multiple sclerosis (MS) patients and 39 healthy volunteers (HV). E.g., smartphone SDMT achieved slightly higher correlations with cognitive subscores of neurological examinations and with brain injury measured by MRI (R

Identifiers

PMID33627777
PMCPMC7904910
OpenAlexW3129378743

What OpenQuestion holds

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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.