Evidence map›Paper›PMID 41688680›Full record

ReviewNature reviews. Neurology2026

Towards biomarker-based diagnosis of Parkinson disease.

Eduardo Tolosa, Werner Poewe, Alastair J Noyce, Per Svenningsson, Philipp Mahlknecht, Maria Jose Marti

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
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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

6 authors.

Eduardo TolosaParkinson's Disease & Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain. eduardtolosa@gmail.com.ORCID 0000-0002-3781-0854
Werner PoeweDepartment of Neurology, Medical University Innsbruck, Innsbruck, Austria.ORCID 0000-0003-4367-0971
Alastair J NoyceCentre for Preventive Neurology, Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK.
Per SvenningssonDepartment of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.ORCID 0000-0001-6727-3802
Philipp MahlknechtDepartment of Neurology, Medical University Innsbruck, Innsbruck, Austria.
Maria Jose MartiParkinson's Disease & Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current clinical diagnostic criteria for Parkinson disease (PD) have limitations and are inherently insensitive to the earliest stages of disease, when classical motor signs can be absent. Imaging and genetic tests are currently used to support or establish a diagnosis of PD, but no validated biomarker-based diagnostic framework currently exists. Substantial progress has been made in the field of molecular disease markers, most notably with the development and validation of seed amplification assays (SAAs), which enable detection of very low levels of pathological α-synuclein in the cerebrospinal fluid and other biofluids and tissue. In this Review, we discuss the potential of α-synuclein SAAs and other biomarkers to improve diagnostic accuracy and enable earlier diagnosis of PD. We consider biological disease definitions that have been proposed on the basis of these biomarkers, highlighting their merits, limitations and implications for PD research and clinical management. Research is ongoing to determine the predictive value of PD biomarkers in healthy people and people with prodromal PD and to develop markers that are sensitive to disease progression, both of which are key for implementation of trials involving drugs designed to modify or prevent disease. Integrating clinical, genetic, molecular and imaging biomarkers should enable earlier, more accurate diagnosis of PD and characterization of PD subtypes, thereby enabling personalized treatment to slow or even prevent PD.

Indexed as

alpha-SynucleinBiomarkersParkinson DiseaseHumansalpha-SynucleinBiomarkers

Identifiers

PMID41688680

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.