Evidence map›Paper›PMID 35178527›Full record

ArticleFrontiers in medical technology2021

Assessment of Smartphone-Based Spiral Tracing in Multiple Sclerosis Reveals Intra-Individual Reproducibility as a Major Determinant of the Clinical Utility of the Digital Test.

Komi S Messan, Linh Pham, Thomas Harris, Yujin Kim, Vanessa Morgan, Peter Kosa, Bibiana Bielekova

Abstract read
In one paragraph

Article in Frontiers in medical technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Assessing verbal and spatial memory via smartphone.Frontiers in digital health · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

7 authors.

Komi S MessanNational Institutes of Health, National Institute of Allergy and Infectious Diseases, Office of Data Science and Emerging Technologies, Rockville, MD, United States.
Linh PhamNational Institutes of Health, National Institute of Allergy and Infectious Diseases, Laboratory of Clinical Immunology and Microbiology, Neuroimmunological Diseases Section, Bethesda, MD, United States.
Thomas HarrisNational Institutes of Health, National Institute of Allergy and Infectious Diseases, Laboratory of Clinical Immunology and Microbiology, Neuroimmunological Diseases Section, Bethesda, MD, United States.
Yujin KimNational Institutes of Health, National Institute of Allergy and Infectious Diseases, Laboratory of Clinical Immunology and Microbiology, Neuroimmunological Diseases Section, Bethesda, MD, United States.
Vanessa MorganNational Institutes of Health, National Institute of Allergy and Infectious Diseases, Laboratory of Clinical Immunology and Microbiology, Neuroimmunological Diseases Section, Bethesda, MD, United States.
Peter KosaNational Institutes of Health, National Institute of Allergy and Infectious Diseases, Laboratory of Clinical Immunology and Microbiology, Neuroimmunological Diseases Section, Bethesda, MD, United States.
Bibiana BielekovaNational Institutes of Health, National Institute of Allergy and Infectious Diseases, Laboratory of Clinical Immunology and Microbiology, Neuroimmunological Diseases Section, Bethesda, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological advances, lack of medical professionals, high cost of face-to-face encounters, and disasters such as the COVID-19 pandemic fuel the telemedicine revolution. Numerous smartphone apps have been developed to measure neurological functions. However, their psychometric properties are seldom determined. It is unclear which designs underlie the eventual clinical utility of the smartphone tests. We have developed the smartphone Neurological Function Tests Suite (NeuFun-TS) and are systematically evaluating their psychometric properties against the gold standard of complete neurological examination digitalized into the NeurEx

Indexed as

clinical utilitydisabilitydominant and non-dominant handmultiple sclerosisneurological functionsreproducibilitysmartphone testsupper extremity function

Identifiers

PMID35178527
PMCPMC8844508

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.