Evidence map›Paper›PMID 36648169›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2023

Optimal combinations of CSF biomarkers for predicting cognitive decline and clinical conversion in cognitively unimpaired participants and mild cognitive impairment patients: A multi-cohort study.

Gemma Salvadó, Victoria Larsson, Karly A Cody, Nicholas C Cullen, Erin M Jonaitis, Erik Stomrud, Gwendlyn Kollmorgen, Norbert Wild, Sebastian Palmqvist, Shorena Janelidze and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
9.3field-weighted citation impact, top 1% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Comparison of TDP-43, NfL, and GFAP in cerebrospinal fluid and serum in Alzheimer's disease.European archives of psychiatry and clinical neuroscience · 2026
    Article
  4. Article
  5. Observational
  6. Observational
  7. [Progress on prognostic assessment methods for mild cognitive impairment].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026
    Review
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  16. Article
  17. 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
  18. Review
  19. Article
  20. Revised criteria for diagnosis and staging of Alzheimer's disease: Alzheimer's Association Workgroup.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    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

16 authors at 4 institutions in 5 countries.

Gemma SalvadóClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.ORCID 0000-0002-5210-9230
Victoria LarssonClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Karly A CodyWisconsin Alzheimer's Disease Research Center University of Wisconsin School of Medicine and Public Health Madison Wisconsin, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Nicholas C CullenClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Erin M JonaitisWisconsin Alzheimer's Disease Research Center University of Wisconsin School of Medicine and Public Health Madison Wisconsin, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Erik StomrudClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Gwendlyn KollmorgenRoche Diagnostics GmbH, Penzberg, Germany.
Norbert WildRoche Diagnostics GmbH, Penzberg, Germany.
Sebastian PalmqvistClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Shorena JanelidzeClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Niklas Mattsson-CarlgrenClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Kaj BlennowDepartment of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Sterling C JohnsonWisconsin Alzheimer's Disease Research Center University of Wisconsin School of Medicine and Public Health Madison Wisconsin, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Rik OssenkoppeleClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Oskar HanssonClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.ORCID 0000-0001-8467-7286
Lund University · SEUniversity of Wisconsin–Madison · USRoche Pharma AG (Germany) · DESahlgrenska University Hospital · SE

Funding

Wisconsin Registry for Alzheimer's Prevention: Sex Differences in DNA MethylationR01AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Nathaniel Ark Chin, Sterling C Johnson · 2007 to 2026
$35.6M
Wisconsin Alzheimer's Disease Research CenterP30AG062715 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Barbara Brigitta Bendlin · 2019 to 2026
$34.5M
The Longitudinal Course of Neural Function and Amyloid in People At Risk for ADR01AG021155 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sterling C Johnson · 2004 to 2026
$27.0M
NRSA Training CoreTL1TR002375 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI Vivek Prabhakaran · 2017 to 2026
$8.4M
White matter degeneration: biomarkers in preclinical Alzheimer's DiseaseR01AG037639 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI BENDLIN, BARBARA BRIGITTA · 2012 to 2023
$5.3M
NCATS NIH HHS TL1 TR002375NIA NIH HHS P30 AG062715NIA NIH HHS R01 AG021155NIA NIH HHS R01 AG027161NIA NIH HHS R01 AG037639
6 · The paper itself

Abstract

introductionOur objective was determining the optimal combinations of cerebrospinal fluid (CSF) biomarkers for predicting disease progression in Alzheimer's disease (AD) and other neurodegenerative diseases.

methodsWe included 1,983 participants from three different cohorts with longitudinal cognitive and clinical data, and baseline CSF levels of Aβ42, Aβ40, phosphorylated tau at threonine-181 (p-tau), neurofilament light (NfL), neurogranin, α-synuclein, soluble triggering receptor expressed on myeloid cells 2 (sTREM2), glial fibrillary acidic protein (GFAP), YKL-40, S100b, and interleukin 6 (IL-6) (Elecsys NeuroToolKit).

resultsChange of modified Preclinical Alzheimer's Cognitive Composite (mPACC) in cognitively unimpaired (CU) was best predicted by p-tau/Aβ42 alone (R DISCUSSION: P-tau/Aβ42 is sufficient for predicting progression in AD, with very high accuracy. Adding NfL improves the prediction of all-cause dementia conversion and cognitive decline.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAmyloid beta-PeptidesBiomarkersCohort StudiesHumanstau ProteinsAmyloid beta-PeptidesBiomarkerstau Proteinsamyloid-βBioFINDERcognitive declineconversion to dementiaglial activationinflammationneurodegenerationtau ratioWADRCWRAP

Identifiers

PMID36648169
PMCPMC10350470
OpenAlexW4316928094

What OpenQuestion holds

Textmetadata
LicenceTDM
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.