Evidence map›Paper›PMID 34575610›Full record

ReviewJournal of personalized medicine2021

Are Parkinson's Disease Patients the Ideal Preclinical Population for Alzheimer's Disease Therapeutics?

Thomas F Tropea, Alice Chen-Plotkin

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Review
  3. Plasma GFAP associates with secondary Alzheimer's pathology in Lewy body disease.Annals of clinical and translational neurology · 2023
    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

2 authors.

Thomas F TropeaDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0003-0766-1496
Alice Chen-PlotkinDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

Funding

UPenn ADCC Biomarker CoreP30AG010124 · NIA · UNIVERSITY OF PENNSYLVANIA · PI XIE, SHARON XIANGWEN · 1991 to 2020
$35.1M
Research Education ComponentP30AG072979 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DAVID A WOLK · 2021 to 2026
$24.8M
Project IV "Tackling Heterogeneity of Cognitive Trajectory in LBD"U19AG062418 · NIA · UNIVERSITY OF PENNSYLVANIA · PI TROJANOWSKI, JOHN Q. · 2019 to 2023
$18.1M
TMEM106B in neurodegenerative diseaseR01NS082265 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI CHEN-PLOTKIN, ALICE S · 2013 to 2024
$4.7M
Biomarkers of cognitive decline in Parkinson's DiseaseR01NS115139 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI CHEN-PLOTKIN, ALICE S · 2019 to 2023
$3.6M
NIA NIH HHS P30 AG072979NIA NIH HHS U19 AG062418NINDS NIH HHS K23-NS11416-01A1NINDS NIH HHS P30 AG010124NINDS NIH HHS R01 NS115139NINDS NIH HHS RO1 NS082265NINDS NIH HHS RO1 NS115139NINDS NIH HHS U19 AG062418
6 · The paper itself

Abstract

Concomitant neuropathological hallmarks of Alzheimer's Disease (AD) are common in the brains of people with Parkinson's disease (PD). Furthermore, AD biomarkers are associated with cognitive decline and dementia in PD patients during life. Here, we highlight the considerable overlap between AD and PD, emphasizing neuropathological, biomarker, and mechanistic studies. We suggest that precision medicine approaches may successfully identify PD patients most likely to develop concomitant AD. The ability to identify PD patients at high risk for future concomitant AD in turn provides an ideal cohort for trials of AD-directed therapies in PD patients, aimed at delaying or preventing cognitive symptoms.

Indexed as

Alzheimer’s diseaseclinical trialParkinson’s diseaseprecision medicine

Identifiers

PMID34575610
PMCPMC8472048

What OpenQuestion holds

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Registered trials

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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.