Evidence map›Paper›PMID 33598527›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2021

Concordance of CSF measures of Alzheimer's pathology with amyloid PET status in a preclinical cohort: A comparison of Lumipulse and established immunoassays.

Ashvini Keshavan, Henrietta Wellington, Zhongbo Chen, Ayesha Khatun, Miles Chapman, Melanie Hart, David M Cash, William Coath, Thomas D Parker, Sarah M Buchanan and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

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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

17 authors.

Ashvini KeshavanDementia Research Centre UCL Queen Square Institute of Neurology, University College London London UK.
Henrietta WellingtonUK Dementia Research Institute Fluid Biomarkers Laboratory UK DRI at University College London London UK.
Zhongbo ChenDementia Research Centre UCL Queen Square Institute of Neurology, University College London London UK.
Ayesha KhatunDementia Research Centre UCL Queen Square Institute of Neurology, University College London London UK.
Miles ChapmanNeuroimmunology and CSF Laboratory National Hospital for Neurology and Neurosurgery London UK.
Melanie HartNeuroimmunology and CSF Laboratory National Hospital for Neurology and Neurosurgery London UK.
David M CashDementia Research Centre UCL Queen Square Institute of Neurology, University College London London UK.
William CoathDementia Research Centre UCL Queen Square Institute of Neurology, University College London London UK.
Thomas D ParkerDementia Research Centre UCL Queen Square Institute of Neurology, University College London London UK.
Sarah M BuchananDementia Research Centre UCL Queen Square Institute of Neurology, University College London London UK.
Sarah E KeussDementia Research Centre UCL Queen Square Institute of Neurology, University College London London UK.
Matthew J HarrisDementia Research Centre UCL Queen Square Institute of Neurology, University College London London UK.
Heidi Murray-SmithDementia Research Centre UCL Queen Square Institute of Neurology, University College London London UK.
Amanda HeslegraveUK Dementia Research Institute Fluid Biomarkers Laboratory UK DRI at University College London London UK.
Nick C FoxDementia Research Centre UCL Queen Square Institute of Neurology, University College London London UK.
Henrik ZetterbergUK Dementia Research Institute Fluid Biomarkers Laboratory UK DRI at University College London London UK.
Jonathan M SchottDementia Research Centre UCL Queen Square Institute of Neurology, University College London London UK.

Funding

British Heart Foundation PG/17/90/33415Medical Research Council MC_UU_00019/1Medical Research Council MC_UU_00019/3
6 · The paper itself

Abstract

introductionWe assessed the concordance of cerebrospinal fluid (CSF) amyloid beta (Aβ) and tau measured on the fully automated Lumipulse platform with pre-symptomatic Alzheimer's disease (AD) pathology on amyloid positron emission tomography (PET).

methodsIn 72 individuals from the Insight 46 study, CSF Aβ40, Aβ42, total tau (t-tau), and phosphorylated tau at site 181 (p-tau181) were measured using Lumipulse, INNOTEST, and Meso Scale Discovery (MSD) assays and inter-platform Pearson correlations derived. Lumipulse Aβ42 measures were adjusted to incorporate standardization to certified reference materials. Logistic regressions and receiver operating characteristics analysis generated CSF cut-points optimizing concordance with

resultsMeasurements of CSF Aβ, p-tau181, and their ratios correlated well across platforms (r 0.84 to 0.94, DISCUSSION: The Lumipulse platform provides comparable sensitivity and specificity to established CSF immunoassays in identifying pre-symptomatic AD pathology.

Indexed as

amyloidcerebrospinal fluidLumipulsepositron emission tomographytau

Identifiers

PMID33598527
PMCPMC7867115

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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.