Evidence map›Paper›PMID 32999915›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2020

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

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Considerations in the clinical use of amyloid PET and CSF biomarkers for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Racial differences in longitudinal Alzheimer's disease biomarkers among cognitively normal adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2022
    Article
  8. Article
  9. 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

17 authors at 5 institutions in 2 countries.

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.
University College London · GBNational Hospital for Neurology and Neurosurgery · GBUK Dementia Research Institute · GBQueen Mary University of London · GBUniversity of Gothenburg · SE

Funding

British Heart Foundation PG/17/90/33415Medical Research Council MC_UU_00019/1Medical Research Council MC_UU_00019/3Medical Research Council MR/L023784/1Medical Research Council MR/L023784/2
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 were derived. Logistic regressions and receiver-operating characteristic analysis generated CSF cut-points optimizing concordance with

resultsMeasurements of CSF Aβ, p-tau181, and their ratios correlated well across platforms (r 0.84-.94, DISCUSSION: The Lumipulse platform provides comparable sensitivity and specificity to established CSF immunoassays in identifying pre-symptomatic AD pathology.

Indexed as

amyloidCSFLumipulsePETtau

Identifiers

PMID32999915
PMCPMC7503103
OpenAlexW4240314385

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.