Evidence map›Paper›PMID 40186646›Full record

ReviewJournal of neurology2025

Biological frameworks for Parkinson's disease: the heterogeneity SAAgged.

Annamaria Landolfi, Cristiano Sorrentino, Paolo Barone, Roberto Erro

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of neurology, 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

4 authors.

Annamaria LandolfiDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Via S. Allende, 84081, Baronissi, SA, Italy.
Cristiano SorrentinoDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Via S. Allende, 84081, Baronissi, SA, Italy.
Paolo BaroneDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Via S. Allende, 84081, Baronissi, SA, Italy.
Roberto ErroDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Via S. Allende, 84081, Baronissi, SA, Italy. rerro@unisa.it.ORCID http://orcid.org/0000-0002-7800-7419

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent biological frameworks of Parkinson's disease (PD) rely on the new advances in α-synuclein detection in biological tissues, mostly through α-synuclein seed amplification assays, and are mainly aimed at intercepting pre-clinical or early phases of disease to be subjected to disease-modifying therapies targeting α-synuclein. However, α-synuclein pathology alone is insufficient to explain the observed clinical heterogeneity of PD. Indeed, it has been demonstrated that a number of additional elements, such as genetics, comorbidities, co-pathology, and environmental factors, may influence PD phenotype and progression. Such factors have been partially accounted for or completely overlooked by both biological frameworks and would instead represent features which could explain, at least partially, the clinical and pathophysiologic diversities of PD and further represent potential druggable targets. Recognizing that the clinical heterogeneity of PD is a window to understand the pathophysiologic complexity of the disease might turn useful for a refinement of the current biological frameworks and move the field to satisfy the unmet need of establishing a precision medicine framework for this prevalent disorder.

Indexed as

alpha-SynucleinParkinson DiseaseHumansalpha-SynucleinParkinson’s diseasePD biological definitionsPD heterogeneityα-Synuclein

Identifiers

What OpenQuestion holds

Textmetadata
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.