Evidence map›Paper›PMID 34880742›Full record

ArticleFrontiers in aging neuroscience2021

Neuroimaging Biomarkers Predicting the Efficacy of Multimodal Rehabilitative Intervention in the Alzheimer's Dementia Continuum Pathology.

Sonia Di Tella, Monia Cabinio, Sara Isernia, Valeria Blasi, Federica Rossetto, Francesca Lea Saibene, Margherita Alberoni, Maria Caterina Silveri, Sandro Sorbi, Mario Clerici and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Biomarkers for dementia in Latin American countries: Gaps and opportunities.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    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

11 authors at 2 institutions in 1 country.

Sonia Di TellaIRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Monia CabinioIRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Sara IserniaIRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Valeria BlasiIRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Federica RossettoIRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Francesca Lea SaibeneIRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Margherita AlberoniIRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Maria Caterina SilveriDepartment of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy.
Sandro SorbiIRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Mario ClericiIRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Francesca BaglioIRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Don Carlo Gnocchi Foundation · ITAgostino Gemelli University Polyclinic · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work we aimed to identify neural predictors of the efficacy of multimodal rehabilitative interventions in AD-continuum patients in the attempt to identify ideal candidates to improve the treatment outcome. Subjects in the AD continuum who participated in a multimodal rehabilitative treatment were included in the analysis [

Indexed as

biomarkerbrain reservecognitive reservedementiaMRIneurodegenerative diseasesrehabilitation

Identifiers

PMID34880742
PMCPMC8645692
OpenAlexW3215530341

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.