Evidence map›Paper›PMID 36824390›Full record

ArticleBrain communications2023

Plasma biomarkers predict amyloid pathology in cognitively normal monozygotic twins after 10 years.

Anouk den Braber, Inge M W Verberk, Jori Tomassen, Ben den Dulk, Erik Stoops, Jeffrey L Dage, Lyduine E Collij, Frederik Barkhof, Gonneke Willemsen, Michel G Nivard and 5 more

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Heritability of Alzheimer's disease plasma biomarkers: A nuclear twin family design.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  3. Article
  4. Article
  5. 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

15 authors at 5 institutions in 4 countries.

Anouk den BraberAlzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-3377-2627
Inge M W VerberkAmsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.
Jori TomassenAlzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.
Ben den DulkAmsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.
Erik StoopsADx NeuroSciences, Ghent, Belgium.
Jeffrey L DageStark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, USA.
Lyduine E CollijDepartment of Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0001-6263-1762
Frederik BarkhofDepartment of Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.
Gonneke WillemsenDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Michel G NivardDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Bart N M van BerckelDepartment of Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.
Philip ScheltensAlzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.
Pieter Jelle VisserAlzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.
Eco J C de GeusDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Charlotte E TeunissenAmsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-4061-0837
Amsterdam Neuroscience · NLVrije Universiteit Amsterdam · NLADx NeuroSciencesIndiana University School of MedicineKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood-based biomarkers could prove useful to predict Alzheimer's disease core pathologies in advance of clinical symptoms. Implementation of such biomarkers requires a solid understanding of their long-term dynamics and the contribution of confounding to their association with Alzheimer's disease pathology. Here we assess the value of plasma amyloid-β

Indexed as

amyloid pathologyconfoundinglongitudinal dynamicsmonozygotic twinsplasma biomarkers

Identifiers

PMID36824390
PMCPMC9942541
OpenAlexW4319777408

What OpenQuestion holds

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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.