Evidence map›Paper›PMID 37782540›Full record

ArticleJMIR formative research2023

Assessment of Upper Extremity Function in Multiple Sclerosis: Feasibility of a Digital Pinching Test.

Jennifer S Graves, Marcin Elantkowski, Yan-Ping Zhang, Frank Dondelinger, Florian Lipsmeier, Corrado Bernasconi, Xavier Montalban, Luciana Midaglia, Michael Lindemann

Registry-linked trialAbstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02952911 (Monitoring of Multiple Sclerosis), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

NCT02952911 nacompletednot on this map

Monitoring of Multiple Sclerosis (MS) Participants With the Use of Digital Technology (Smartphones and Smartwatches) - A Feasibility Study

TypeinterventionalSponsorHoffmann-La RocheRan2016 to 2018Enrolled100ConditionsMultiple SclerosisArmsSmartphone and Smartwatch
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Sensors in Multiple Sclerosis.Current neurology and neuroscience reports · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Observational
  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

9 authors.

Jennifer S GravesDepartment of Neurosciences, University of California, San Diego, CA, United States.ORCID https://orcid.org/0000-0003-1539-1940
Marcin ElantkowskiF. Hoffmann-La Roche Ltd, Basel, Switzerland.ORCID https://orcid.org/0000-0001-5841-153X
Yan-Ping ZhangF. Hoffmann-La Roche Ltd, Basel, Switzerland.ORCID https://orcid.org/0000-0001-7602-4453
Frank DondelingerF. Hoffmann-La Roche Ltd, Basel, Switzerland.ORCID https://orcid.org/0000-0003-1816-6300
Florian LipsmeierF. Hoffmann-La Roche Ltd, Basel, Switzerland.ORCID https://orcid.org/0000-0002-8663-819X
Corrado BernasconiF. Hoffmann-La Roche Ltd, Basel, Switzerland.ORCID https://orcid.org/0000-0002-1019-5468
Xavier MontalbanDepartment of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia, Vall d'Hebron University Hospital, Barcelona, Spain.ORCID https://orcid.org/0000-0002-0098-9918
Luciana MidagliaDepartment of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia, Vall d'Hebron University Hospital, Barcelona, Spain.ORCID https://orcid.org/0000-0001-7981-2228
Michael LindemannF. Hoffmann-La Roche Ltd, Basel, Switzerland.ORCID https://orcid.org/0000-0003-1010-3890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe development of touchscreen-based assessments of upper extremity function could benefit people with multiple sclerosis (MS) by allowing convenient, quantitative assessment of their condition. The Pinching Test forms a part of the Floodlight smartphone app (F. Hoffmann-La Roche Ltd, Basel, Switzerland) for people with MS and was designed to capture upper extremity function.

objectiveThis study aimed to evaluate the Pinching Test as a tool for remotely assessing upper extremity function in people with MS.

methodsUsing data from the 24-week, prospective feasibility study investigating the Floodlight Proof-of-Concept app for remotely assessing MS, we examined 13 pinching, 11 inertial measurement unit (IMU)-based, and 13 fatigability features of the Pinching Test. We assessed the test-retest reliability using intraclass correlation coefficients [second model, first type; ICC(2,1)], age- and sex-adjusted cross-sectional Spearman rank correlation, and known-groups validity (data aggregation: median [all features], SD [fatigability features]).

resultsWe evaluated data from 67 people with MS (mean Expanded Disability Status Scale [EDSS]: 2.4 [SD 1.4]) and 18 healthy controls. In this cohort of early MS, pinching features were reliable [ICC(2,1)=0.54-0.81]; correlated with standard clinical assessments, including the Nine-Hole Peg Test (9HPT) (|r|=0.26-0.54; 10/13 features), EDSS (|r|=0.25-0.36; 7/13 features), and the arm items of the 29-item Multiple Sclerosis Impact Scale (MSIS-29) (|r|=0.31-0.52; 7/13 features); and differentiated people with MS-Normal from people with MS-Abnormal (area under the curve: 0.68-0.78; 8/13 features). IMU-based features showed similar test-retest reliability [ICC(2,1)=0.47-0.84] but showed little correlations with standard clinical assessments. In contrast, fatigability features (SD aggregation) correlated with 9HPT time (|r|=0.26-0.61; 10/13 features), EDSS (|r|=0.26-0.41; 8/13 features), and MSIS-29 arm items (|r|=0.32-0.46; 7/13 features).

conclusionsThe Pinching Test provides a remote, objective, and granular assessment of upper extremity function in people with MS that can potentially complement standard clinical evaluation. Future studies will validate it in more advanced MS.

trial registrationClinicalTrials.gov NCT02952911; https://clinicaltrials.gov/study/NCT02952911.

Indexed as

digital health technology toolshand-motor dexteritymultiple sclerosissmartphone sensorupper extremity function

Identifiers

PMID37782540
PMCPMC10580133

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Registered trials

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.