Evidence map›Paper›PMID 31430334›Full record

Observational studyPloS one2019

Amyloid-β PET-Correlation with cerebrospinal fluid biomarkers and prediction of Alzheimer´s disease diagnosis in a memory clinic.

Ebba Gløersen Müller, Trine Holt Edwin, Caroline Stokke, Sigrid Stensby Navelsaker, Almira Babovic, Nenad Bogdanovic, Anne Brita Knapskog, Mona Elisabeth Revheim

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Diagnostic accuracy of plasma p-tau217 against amyloid PET: A meta-analysis of technical platform variability and ratio versus single marker comparisons.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Pooled it
  2. Article
  3. Alzheimer's Amyloid Hypothesis and Antibody Therapy: Melting Glaciers?International journal of molecular sciences · 2024
    Review
  4. Lower Cerebrospinal Fluid Amyloid-βJournal of Alzheimer's disease reports · 2023
    Article
  5. Review
  6. Evaluation of semi-quantitative measures ofQuantitative imaging in medicine and surgery · 2022
    Article
  7. Observational
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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

8 authors.

Ebba Gløersen MüllerDepartment of Nuclear Medicine, Oslo University Hospital, Oslo, Norway.ORCID 0000-0003-3964-6055
Trine Holt EdwinInstitute of Clinical Medicine, University of Oslo, Oslo, Norway.
Caroline StokkeDepartment of Diagnostic Physics, Oslo University Hospital, Oslo, Norway.ORCID 0000-0003-4465-9635
Sigrid Stensby NavelsakerInstitute of Clinical Medicine, University of Oslo, Oslo, Norway.
Almira BabovicDepartment of Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
Nenad BogdanovicDepartment for Neurobiology, Caring Science and Society, Division of Clinical Geriatrics, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.
Anne Brita KnapskogDepartment of Geriatric Medicine, The Memory Clinic, Oslo University Hospital, Oslo, Norway.ORCID 0000-0003-4867-551X
Mona Elisabeth RevheimDepartment of Nuclear Medicine, Oslo University Hospital, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) remains a clinical diagnosis but biomarkers from cerebrospinal fluid (CSF) and more lately amyloid imaging with positron emission tomography (PET), are important to support a diagnosis of AD.

objectiveTo compare amyloid-β (Aβ) PET imaging with biomarkers in CSF and evaluate the prediction of Aβ PET on diagnosis in a memory clinic setting.

methodsWe included 64 patients who had lumbar puncture and Aβ PET with 18F-Flutemetamol performed within 190 days. PET was binary classified (Flut+ or Flut-) and logistic regression analyses for correlation to each CSF biomarker; Aβ 42 (Aβ42), total tau (T-tau) and phosphorylated tau (P-tau), were performed. Cut-off values were assessed by receiver operating characteristic (ROC) curves. Logistic regression was performed for prediction of clinical AD diagnosis. We assessed the interrater agreement of PET classification as well as for diagnoses, which were made both with and without knowledge of PET results.

resultsThirty-two of the 34 patients (94%) in the Flut+ group and nine of the 30 patients (30%) in the Flut- group had a clinical AD diagnosis. There were significant differences in all CSF biomarkers in the Flut+ and Flut- groups. Aβ42 showed the highest correlation with 18F-Flutemetamol PET with a cut-off value of 706.5 pg/mL, corresponding to sensitivity of 88% and specificity of 87%. 18F-Flutemetamol PET was the best predictor of a clinical AD diagnosis. We found a very high interrater agreement for both PET classification and diagnosis.

conclusionsThe present study showed an excellent correlation of Aβ42 in CSF and 18F-Flutemetamol PET and the presented cut-off value for Aβ42 yields high sensitivity and specificity for 18F-Flutemetamol PET. 18F-Flutemetamol PET was the best predictor of clinical AD diagnosis.

Indexed as

AgedAlzheimer DiseaseAmyloid beta-PeptidesAniline CompoundsBenzothiazolesBiomarkersBrainCross-Sectional StudiesFemaleHumansImaging, Three-DimensionalMaleMental Health ServicesMental Status and Dementia TestsMiddle AgedPeptide FragmentsAmyloid beta-Peptidesamyloid beta-protein (1-42)Aniline CompoundsBenzothiazolesBiomarkersflutemetamolPeptide FragmentsRadiopharmaceuticals

Identifiers

PMID31430334
PMCPMC6701762

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Registered trials

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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.