Evidence map›Paper›PMID 22490326›Full record

ArticleArchives of neurology2012

Comparison of cerebrospinal fluid levels of tau and Aβ 1-42 in Alzheimer disease and frontotemporal degeneration using 2 analytical platforms.

David J Irwin, Corey T McMillan, Jon B Toledo, Steven E Arnold, Leslie M Shaw, Li-San Wang, Vivianna Van Deerlin, Virginia M-Y Lee, John Q Trojanowski, Murray Grossman

Abstract readComparative Study
In one paragraph

Article in Archives of neurology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Automatic classification of AD pathology in FTD phenotypes using natural speech.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  6. Article
  7. Article
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  10. Article
  11. Rates of longitudinal change inAlzheimer's & dementia : the journal of the Alzheimer's Association · 2022
    Article
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  13. Article
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  15. Article
  16. Article
  17. Observational
  18. Article
  19. Article
  20. Article

15 more citing papers are in PubMed but not listed here.

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

10 authors.

David J IrwinCenter for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Institute on Aging, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
Corey T McMillan
Jon B Toledo
Steven E Arnold
Leslie M Shaw
Li-San Wang
Vivianna Van Deerlin
Virginia M-Y Lee
John Q Trojanowski
Murray Grossman

Funding

TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
Transgenic Mouse Models of Tau PathologiesP01AG017586 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LEE, VIRGINIA M · 2000 to 2021
$37.3M
UPenn ADCC Biomarker CoreP30AG010124 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DETRE, JOHN A · 1991 to 2020
$35.1M
Project IV: "Alpha-Synuclein Strains & Diverse Synucleinopathies"P50NS053488 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI TROJANOWSKI, JOHN Q. · 2007 to 2017
$20.9M
Training in Alzheimer’s and Age-Related Neurodegenerative DiseasesT32AG000255 · NIA · UNIVERSITY OF PENNSYLVANIA · PI ALICE S CHEN-PLOTKIN, VIRGINIA M LEE · 1997 to 2026
$12.5M
Neural Basis of Generalized QuantifiersR01NS044266 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI GROSSMAN, MURRAY · 2004 to 2014
$6.8M
TDP-43 Proteinopathies in ALS-DementiaP01AG032953 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LEE, VIRGINIA M · 2010 to 2014
$5.8M
CONCEPTUAL PROCESSING IN ALZHEIMERS DISEASER01AG015116 · NIA · UNIVERSITY OF PENNSYLVANIA · PI GROSSMAN, MURRAY · 1998 to 2010
$4.3M
NIA NIH HHS P01 AG017586NIA NIH HHS P01 AG019724NIA NIH HHS P01 AG032953NIA NIH HHS P01 AG32953NIA NIH HHS P30 AG010124NIA NIH HHS P30AG010124-20NIA NIH HHS R01 AG015116NIA NIH HHS R01 AG15116NIA NIH HHS T32 AG000255NIA NIH HHS T32-AG000255NINDS NIH HHS P01 NS53488NINDS NIH HHS P50 NS053488NINDS NIH HHS R01 NS044266NINDS NIH HHS R01 NS44266
6 · The paper itself

Abstract

objectiveTo use values of cerebrospinal fluid tau and β-amyloid obtained from 2 different analytical immunoassays to differentiate Alzheimer disease (AD) from frontotemporal lobar degeneration (FTLD).

designCerebrospinal fluid values of total tau (T-tau) and β-amyloid 1-42 (Aβ 1-42) obtained using the Innotest enzyme-linked immunosorbent assay were transformed using a linear regression model to equivalent values obtained using the INNO-BIA AlzBio3 (xMAP; Luminex) assay. Cutoff values obtained from the xMAP assay were developed in a series of autopsy-confirmed cases and cross validated in another series of autopsy-confirmed samples using transformed enzyme-linked immunosorbent assay values to assess sensitivity and specificity for differentiating AD from FTLD.

settingTertiary memory disorder clinics and neuropathologic and biomarker core centers.

participantsSeventy-five samples from patients with cerebrospinal fluid data obtained from both assays were used for transformation of enzyme-linked immunosorbent assay values. Forty autopsy-confirmed cases (30 with AD and 10 with FTLD) were used to establish diagnostic cutoff values and then cross validated in a second sample set of 21 autopsy-confirmed cases (11 with AD and 10 with FTLD) with transformed enzyme-linked immunosorbent assay values.

main outcome measureDiagnostic accuracy using transformed biomarker values.

resultsData obtained from both assays were highly correlated. The T-tau to Aβ 1-42 ratio had the highest correlation between measures (r = 0.928, P < .001) and high reliability of transformation (intraclass correlation coefficient= 0.89). A cutoff of 0.34 for the T-tau to Aβ 1-42 ratio had 90% and 100% sensitivity and 96.7% and 91% specificity to differentiate FTLD cases in the validation and cross-validation samples, respectively.

conclusionsValues from 2 analytical platforms can be transformed into equivalent units, which can distinguish AD from FTLD more accurately than the clinical diagnosis.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseAmyloid beta-PeptidesBiomarkersEnzyme-Linked Immunosorbent AssayFemaleFrontotemporal Lobar DegenerationHumansMaleMiddle AgedPeptide Fragmentstau ProteinsAmyloid beta-Peptidesamyloid beta-protein (1-42)BiomarkersPeptide Fragmentstau Proteins

Identifiers

PMID22490326
PMCPMC3528180

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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.