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Record W4411251678 · doi:10.1002/acn3.70075

<scp>CSF</scp> Biomarker‐Based Cognitive Trajectories in Parkinson's Disease‐Subjective Cognitive Decline

2025· article· en· W4411251678 on OpenAlexaboutno aff
J. Muñoz, Arnau Puig‐Davi, Iñigo Ruíz‐Barrio, Javier Pagonabarraga, Anna Vázquez‐Oliver, Andrea Horta‐Barba, Jaime Kulisevsky, Saül Martínez‐Horta

Bibliographic record

VenueAnnals of Clinical and Translational Neurology · 2025
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
FundersInstituto de Salud Carlos IIIAvid RadiopharmaceuticalsAllerganGenentechItalfarmacoIpsenH. Lundbeck A/SSun PharmaVoyager TherapeuticsNeurocrine BiosciencesBiogenCelgeneVerily Life SciencesTeva Pharmaceutical IndustriesSanofiServierPfizerBristol-Myers SquibbEli Lilly and Company
KeywordsMedicineBiomarkerCognitive declineCognitionParkinson's diseaseDiseaseCognitive agingInternal medicinePsychiatryDementia

Abstract

fetched live from OpenAlex

ABSTRACT Objective Cognitive complaints without objective cognitive impairment in Parkinson's Disease, termed Parkinson's Disease‐Subjective Cognitive Decline (PD‐SCD), have been associated with cognitive decline. However, its progression is heterogeneous, highlighting the need for improved identification of patients at greater risk for deterioration. This cohort study aims to investigate associations between CSF biomarkers and cognitive decline in PD‐SCD. Methods We included patients from the PPMI cohort with PD‐SCD, available baseline CSF beta‐amyloid1‐42 (Aβ42) and phosphorylated‐tau181 (p‐tau181), and longitudinal Montreal Cognitive Assessment (MoCA). Results A total of 80 patients were included, with a mean age of 62.1 years and a median disease duration of 5.6 months at baseline. Five patients were identified with biological AD, who showed a more pronounced decline in MoCA (year 7: β = −4.15, p = 0.009). After excluding AD patients, linear mixed‐effects models (LMEM) demonstrated an association between baseline log‐transformed Aβ42 and MoCA progression (β = 2, p = 0.004). Based on these data, we created three CSF‐based subgroups: Normal Aβ42 (n = 50), Low Aβ42 (n = 25), and Biological AD (n = 5). LMEM predicted greater cognitive decline for Low Aβ42 versus Normal Aβ42 (β = −0.161 points‐per‐year, p = 0.007), and for Biological AD versus Normal Aβ42 (β = −0.390 points‐per‐year, p < 0.001). The risk of dementia was increased for Low Aβ42 (HR = 5.2, p = 0.029) and Biological AD subgroups (HR = 7.7, p = 0.013). Interpretation In PD‐SCD, baseline CSF Aβ42 is associated with cognitive progression. Furthermore, we identified three CSF biomarker‐based cognitive trajectories (Normal Aβ42, Low Aβ42, and Biological AD), each characterized by progressively worse cognitive outcomes. These findings could be useful for implementing enrichment strategies in future clinical trials targeting PD‐associated cognitive decline.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.080
GPT teacher head0.395
Teacher spread0.315 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2025
Admission routes1
Has abstractyes

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