Evidence map›Paper›PMID 27716336›Full record

Trial reportJournal of neuroengineering and rehabilitation2016

Adaptive vs. non-adaptive cognitive training by means of a personalized App: a randomized trial in people with multiple sclerosis.

Ludovico Pedullà, Giampaolo Brichetto, Andrea Tacchino, Claudio Vassallo, Paola Zaratin, Mario Alberto Battaglia, Laura Bonzano, Marco Bove

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06598163 (Efficacy of a Digital Health App Five Lives MED to Improve Cognitive Function in Patients With Mild Cognitive Impairment), which is not on this map. Cited by 35 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing 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.

NCT06598163 narecruitingnot on this mapstarted 2025, after this paper: background citation

Efficacy of a Digital Health App Five Lives MED to Improve Cognitive Function in Patients With Mild Cognitive Impairment: a Randomised Controlled Trial

TypeinterventionalSponsorSharpTxRan2025 to 2026Enrolled170ConditionsMild Cognitive ImpairmentArmsFive Lives MED
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Memory rehabilitation for people with multiple sclerosis.The Cochrane database of systematic reviews · 2021
    Pooled it
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  19. Digital therapeutics in neurology.Journal of neurology · 2022
    Review
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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.

Ludovico PedullàDepartment of Experimental Medicine, Section of Human Physiology, University of Genoa, Genoa, Italy.
Giampaolo BrichettoItalian Multiple Sclerosis Foundation, Scientific Research Area, Genoa, Italy. giampaolo.brichetto@aism.it.
Andrea TacchinoItalian Multiple Sclerosis Foundation, Scientific Research Area, Genoa, Italy.
Claudio VassalloItalian Multiple Sclerosis Foundation, Scientific Research Area, Genoa, Italy.
Paola ZaratinItalian Multiple Sclerosis Foundation, Scientific Research Area, Genoa, Italy.
Mario Alberto BattagliaDepartment of Life Science, University of Siena, Siena, Italy.
Laura BonzanoDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy.
Marco BoveDepartment of Experimental Medicine, Section of Human Physiology, University of Genoa, Genoa, Italy. marco.bove@unige.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCognitive impairment is common in multiple sclerosis (MS), but the definition of the best cognitive rehabilitation tools and features is still an open issue among researchers. The aims of the present study were to evaluate the effectiveness of COGNI-TRAcK (a customized application software delivering personalized working memory-based exercises) on cognitively impaired people with MS and to investigate the effects of an adaptive vs. a non-adaptive cognitive training administered by means of COGNI-TRAcK.

methodsTwenty eight patients (20 women, age 47.5 ± 9.3 years, Expanded Disability Status Scale score 3.8 ± 1.9) were randomized in two homogeneous groups, both performing a 8-week home-based cognitive rehabilitation treatment by means of COGNI-TRAcK. The study group (ADAPT-gr) underwent an adaptive training given by the automatic adjustment of tasks difficulty to the subjects' performance, whilst the control group (CONST-gr) was trained at constant difficulty levels. Before and after the treatment, patients' cognitive status was assessed using a gold standard neuropsychological evaluation. Moreover, the mostly affected cognitive domains in MS (i.e., attention, concentration and information processing speed) were also assessed 6 months after the end of the treatment.

resultsThe analysis of variance showed a significant Group*Time interaction in six out of ten tests of the cognitive evaluation. Post-hoc analysis revealed a significant improvement between the performances before and after the intervention only in the ADAPT-gr in tests evaluating verbal memory acquisition (p <0.05) and delayed recall (p = 0.001), verbal fluency (p = 0.01), sustained attention, concentration and information processing speed (p < 0.01). This last effect was maintained also after 6 months (p < 0.05).

conclusionsWe concluded that COGNI-TRAcK represents a suitable tool to administer a personalized training to cognitively impaired subjects and that an adaptive working load is a crucial feature determining the effectiveness of cognitive treatment, allowing transfer effects to several cognitive domains and long-term maintenance of results.

Indexed as

SoftwareAdultCognition DisordersFemaleHumansMaleMiddle AgedMultiple SclerosisAdaptive working loadApplication softwareCognitive rehabilitationMultiple sclerosisPersonalized treatment

Identifiers

PMID27716336
PMCPMC5050994

What OpenQuestion holds

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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.