Evidence map›Paper›PMID 33811226›Full record

ArticleScientific reports2021

Innovative motor and cognitive dual-task approaches combining upper and lower limbs may improve dementia early detection.

Gianmaria Mancioppi, Laura Fiorini, Erika Rovini, Radia Zeghari, Auriane Gros, Valeria Manera, Philippe Robert, Filippo Cavallo

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 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

19 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Combining transcranial electrical stimulation with training in older adults: Effects on dual-task ability.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Trial
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

8 authors.

Gianmaria MancioppiThe BioRobotics Institute, Scuola Superiore Sant'Anna, Viale Rinaldo Piaggio 34, Pontedera, 56025, Pisa, Italy.
Laura FioriniThe Department of Industrial Engineering, University of Florence, via Santa Marta 3, 50139, Florence, Italy.
Erika RoviniThe BioRobotics Institute, Scuola Superiore Sant'Anna, Viale Rinaldo Piaggio 34, Pontedera, 56025, Pisa, Italy.
Radia ZeghariThe CoBTeK, Université Cote d'Azur (UCA), 10 Rue Molière, 06100, Nice, France.
Auriane GrosThe CoBTeK, Université Cote d'Azur (UCA), 10 Rue Molière, 06100, Nice, France.
Valeria ManeraThe CoBTeK, Université Cote d'Azur (UCA), 10 Rue Molière, 06100, Nice, France.
Philippe RobertThe CoBTeK, Université Cote d'Azur (UCA), 10 Rue Molière, 06100, Nice, France.
Filippo CavalloThe BioRobotics Institute, Scuola Superiore Sant'Anna, Viale Rinaldo Piaggio 34, Pontedera, 56025, Pisa, Italy. filippo.cavallo@unifi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motor and Cognitive Dual-Task (MCDT) represents an innovative chance to assess Mild Cognitive Impairment (MCI). We compare two novel MCDTs, fore-finger tapping (FTAP), toe-tapping (TTHP), to gold standards for cognitive screening (Mini-Mental State Examination-MMSE), and to a well-established MCDT (GAIT). We administered the aforementioned MCDTs to 44 subjects (MCIs and controls). Motor parameters were extracted, and correlations with MMSE investigated. Logistic regression models were built, and AUC areas computed. Spearman's correlation demonstrated that FTAP and TTHP significantly correlate with MMSE, at each cognitive load. AUC areas computed report similar (FTAP, 0.87), and even higher (TTHP, 0.97) capability to identify MCIs, if compared to GAIT (0.92). We investigated the use of novel MCDT approaches to assess MCI, aiming to enrich the clinical repertoire with objective and non-invasive tools. Our protocol shows good correlations with MMSE, and reaches high performances in identifying MCI, adopting simpler exercises.

Indexed as

CreativityEarly DiagnosisTask Performance and AnalysisAgedCognitionCognitive DysfunctionDementiaDiagnosis, DifferentialFemaleGaitHumansLower ExtremityMaleMental Status and Dementia TestsMotor ActivityROC Curve

Identifiers

PMID33811226
PMCPMC8018979

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.