Evidence map›Paper›PMID 40541958›Full record

ArticleNPJ Parkinson's disease2025

Impact of an intensive outpatient rehabilitation on non-motor patients' reported outcomes in PD: the INTENSO study.

Marianna Capecci, Nicolò Baldini, Elisa Andrenelli, Alice Lambertucci, Paola Bisoglio, Martina Grugnetti, Hibel Margherita, Maria Gabriella Ceravolo

Abstract read
In one paragraph

Article in NPJ Parkinson's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. 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.

Marianna CapecciDepartment of Experimental and Clinical Medicine, Politecnica delle Marche University, Ancona, Italy.
Nicolò BaldiniDepartment of Experimental and Clinical Medicine, Politecnica delle Marche University, Ancona, Italy. nicolo.baldini@pm.univpm.it.
Elisa AndrenelliDepartment of Experimental and Clinical Medicine, Politecnica delle Marche University, Ancona, Italy.
Alice LambertucciDepartment of Experimental and Clinical Medicine, Politecnica delle Marche University, Ancona, Italy.
Paola BisoglioDepartment of Experimental and Clinical Medicine, Politecnica delle Marche University, Ancona, Italy.
Martina GrugnettiNeurorehabilitation Clinic, Marche University Hospital, Ancona, Italy.
Hibel MargheritaNeurorehabilitation Clinic, Marche University Hospital, Ancona, Italy.
Maria Gabriella CeravoloDepartment of Experimental and Clinical Medicine, Politecnica delle Marche University, Ancona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-motor symptoms in Parkinson's disease (PD) can reduce quality of life and increase disability. This historical cohort study investigated how rehabilitation intensity influences non-motor symptoms. The primary outcomes were changes in non-motor symptoms in the short and medium term. Secondary outcomes were changes in disability burden, motor symptom severity, and freezing of gait after treatment. Measurements were taken before (T0) and after treatment (T1) and 6 ± 1 months after T1 (T2). According to total training duration, 24 patients with PD were assigned to High-Intensity Training group (HIT, 1800 min) and 24 to Low-Intensity Training (LIT, less than 900 minutes). At T1, only the HIT group showed clinically significant improvements in non-motor symptoms, which were maintained at T2. In contrast, the LIT group experienced worsening disability at follow-up. Multivariate analysis revealed training intensity and baseline disability as predictors of improvement. These findings support the benefits of high intensity exercise in PD management.

Identifiers

PMID40541958
PMCPMC12181338

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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.