Evidence map›Paper›PMID 26626621›Full record

SynthesisNeuropsychology review2015

Do CSF Biomarkers Predict Progression to Cognitive Impairment in Parkinson's disease patients? A Systematic Review.

Katherine Leaver, Kathleen L Poston

Abstract readSystematic Review
In one paragraph

Synthesis in Neuropsychology review, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Changes of cerebrospinal fluid AβNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2017
    Pooled it
  2. Review
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  16. Episodic recognition memory and the hippocampus in Parkinson's disease: A review.Cortex; a journal devoted to the study of the nervous system and behavior · 2019
    Review
  17. Article
  18. Article
  19. Review
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.

Katherine LeaverDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
Kathleen L PostonDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA. klposton@stanford.edu.

Funding

Statistics and Data Management CoreP50NS071675 · NINDS · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI EIDELBERG, DAVID · 2010 to 2014
$9.3M
Working Memory in Parkinson Disease: A Cognitive & Systems Neuroscience ApproachP50AG047366 · NIA · STANFORD UNIVERSITY · PI TIAN, LU · 2015 to 2019
$7.9M
Methods for Dynamic Causal Interactions in Human Brain Function and DysfunctionR01NS086085 · NINDS · STANFORD UNIVERSITY · PI MENON, VINOD · 2014 to 2025
$3.9M
Neurodegeneration and Brain Function in Aging with HIV and Parkinson's DiseaseR01AA023165 · NIAAA · SRI INTERNATIONAL · PI SCHULTE, TILMAN · 2014 to 2017
$3.0M
Dynamic regulation of whole brain circuit function by basal ganglia pathwaysR01NS091461 · NINDS · STANFORD UNIVERSITY · PI LEE, JIN HYUNG · 2015 to 2019
$2.4M
Computational modeling of dynamic causal brain circuits underlying cognitive dysfunction in Alzheimer's diseaseRF1NS086085 · NINDS · STANFORD UNIVERSITY · PI MENON, VINOD · 2021 to 2021
$2.0M
Basal Ganglia Modulation of Cognitive Systems in Parkinson's diseaseK23NS075097 · NINDS · STANFORD UNIVERSITY · PI POSTON, KATHLEEN LOMBARD · 2011 to 2015
$936k
NIAAA NIH HHS AA023165NIAAA NIH HHS R01 AA023165NIA NIH HHS AG047366NIA NIH HHS P50 AG047366NINDS NIH HHS K23 NS075097NINDS NIH HHS NS071675NINDS NIH HHS NS075097NINDS NIH HHS NS086085NINDS NIH HHS NS091461NINDS NIH HHS P50 NS071675NINDS NIH HHS R01 NS086085NINDS NIH HHS R01 NS091461NINDS NIH HHS RF1 NS086085
6 · The paper itself

Abstract

Many patients with Parkinson's disease (PD) will develop cognitive impairment. Cross-sectional studies have shown that certain protein levels are altered in the cerebrospinal fluid (CSF) of PD patients with dementia and are thought to represent potential biomarkers of underlying pathogenesis. Recent studies suggest that CSF biomarker levels may be predictive of future risk of cognitive decline in non-demented PD patients. However, the strength of this evidence and difference between specific CSF biomarkers is not well delineated. We therefore performed a systematic review to assess if levels of specific CSF protein biomarkers are predictive of progression to cognitive impairment. Nine articles were identified that met inclusion criteria for the review. Findings from the review suggest a convergence of evidence that a low baseline Aβ42 in the CSF of non-demented PD patients predicts development of cognitive impairment over time. Conversely, there is limited evidence that CSF levels of tau, either total tau or phosphorylated tau, is a useful predictive biomarker. There are mixed results for other CSF biomarkers such as α-synuclein, Neurofilament light chain, and Heart fatty acid-binding protein. Overall the results of this review show that certain CSF biomarkers have better predictive ability to identify PD patients who are at risk for developing cognitive impairment. Given the interest in developing disease-modifying therapies, identifying this group will be important for clinical trials as initiation of therapy prior to the onset of cognitive decline is likely to be more efficacious.

Indexed as

BiomarkersCognitionCognition DisordersHumansParkinson DiseasePrognosisBiomarkersCognitionCSF biomarkersLongitudinalParkinson’s Disease

Identifiers

PMID26626621
PMCPMC5152566

What OpenQuestion holds

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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.