Evidence map›Paper›PMID 34207923›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Motor Cortical Activation Assessment in Progressive Multiple Sclerosis Patients Enrolled in Gait Rehabilitation: A Secondary Analysis of the RAGTIME Trial Assisted by Functional Near-Infrared Spectroscopy.

Nicola Lamberti, Fabio Manfredini, Andrea Baroni, Anna Crepaldi, Susanna Lavezzi, Nino Basaglia, Sofia Straudi

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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 at 1 institution in 1 country.

Nicola LambertiDepartment of Neuroscience and Rehabilitation, University of Ferrara, 44121 Ferrara, Italy.ORCID 0000-0001-5763-3069
Fabio ManfrediniDepartment of Neuroscience and Rehabilitation, University of Ferrara, 44121 Ferrara, Italy.
Andrea BaroniUnit of Rehabilitation Medicine, University Hospital of Ferrara, 44124 Ferrara, Italy.
Anna CrepaldiDepartment of Neuroscience and Rehabilitation, University of Ferrara, 44121 Ferrara, Italy.
Susanna LavezziUnit of Rehabilitation Medicine, University Hospital of Ferrara, 44124 Ferrara, Italy.
Nino BasagliaUnit of Rehabilitation Medicine, University Hospital of Ferrara, 44124 Ferrara, Italy.
Sofia StraudiDepartment of Neuroscience and Rehabilitation, University of Ferrara, 44121 Ferrara, Italy.
University of Ferrara · IT

Funding

Regione Emilia-Romagna 1786/2012
6 · The paper itself

Abstract

This study aimed to determine cortical activation responses to two different rehabilitative programs, as measured through functional near-infrared spectroscopy (fNIRS). As a secondary analysis of the RAGTIME trial, we studied 24 patients with progressive multiple sclerosis (MS) and severe disability who were randomized to a regimen of robot-assisted gait training (RAGT) or overground walking (OW). Cortical activation during a treadmill walking task, assessed through fNIRS recordings from the motor and premotor cortexes (M1/PM), was calculated as the area under the curve (AUC) of oxyhemoglobin for each hemisphere and the total area (Tot-Oxy

Indexed as

biomarkerexercise therapygaitmultiple sclerosisnear-infrared spectroscopyrehabilitationrobot-assisted gait training

Identifiers

PMID34207923
PMCPMC8227480
OpenAlexW3170402034

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.