Evidence map›Paper›PMID 27398953›Full record

ArticleAnnals of neurology2016

Imaging and cerebrospinal fluid biomarkers in early preclinical alzheimer disease.

Andrei G Vlassenko, Lena McCue, Mateusz S Jasielec, Yi Su, Brian A Gordon, Chengjie Xiong, David M Holtzman, Tammie L S Benzinger, John C Morris, Anne M Fagan

Abstract read
In one paragraph

Article in Annals of neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 2 pooled it
10.8field-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

79 citing papers in PubMed, 2 syntheses or guidelines pooled it, 102 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
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  7. Article
  8. Article
  9. Article
  10. Review
  11. Observational
  12. Article
  13. New Research on Biomarkers in Alzheimer's Continuum.Reviews on recent clinical trials · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. PET molecular imaging for pathophysiological visualization in Alzheimer's disease.European journal of nuclear medicine and molecular imaging · 2023
    Review

19 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 at 2 institutions in 1 country.

Andrei G VlassenkoDepartment of Radiology, Washington University School of Medicine, Saint Louis, MO. andrei@npg.wustl.edu.
Lena McCueDivision of Biostatistics, Washington University School of Medicine, Saint Louis, MO.
Mateusz S JasielecDivision of Biostatistics, Washington University School of Medicine, Saint Louis, MO.
Yi SuDepartment of Radiology, Washington University School of Medicine, Saint Louis, MO.
Brian A GordonDepartment of Radiology, Washington University School of Medicine, Saint Louis, MO.
Chengjie XiongKnight Alzheimer's Disease Research Center, Washington University School of Medicine, Saint Louis, MO.
David M HoltzmanHope Center for Neurological Disorders, Washington University School of Medicine, Saint Louis, MO.
Tammie L S BenzingerDepartment of Radiology, Washington University School of Medicine, Saint Louis, MO.
John C MorrisHope Center for Neurological Disorders, Washington University School of Medicine, Saint Louis, MO.
Anne M FaganHope Center for Neurological Disorders, Washington University School of Medicine, Saint Louis, MO.
Washington University in St. Louis · USHope Center for Neurological Disorders · US

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
WASHINGTON UNIVERSITY ALZHEIMERS DISEASE RESEARCH CENTERP50AG005681 · NIA · WASHINGTON UNIVERSITY · PI FAGAN, ANNE · 1985 to 2019
$52.1M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
THE XNAT IMAGING INFORMATICS PLATFORMR01EB009352 · NIBIB · WASHINGTON UNIVERSITY · PI Daniel Scott Marcus · 2009 to 2026
$9.3M
NINDS CENTER CORE FOR BRAIN IMAGINGP30NS098577 · NINDS · WASHINGTON UNIVERSITY · PI HERSHEY, TAMARA G, MARCUS, DANIEL SCOTT · 2016 to 2019
$2.4M
NCATS NIH HHS UL1 TR000448NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P50 AG005681NIBIB NIH HHS R01 EB009352NINDS NIH HHS P30 NS098577
6 · The paper itself

Abstract

objectiveDeposition of amyloid β (Aβ)-containing plaques as evidenced by amyloid imaging and cerebrospinal fluid (CSF) Aβ1-42 (Aβ42) is an early indicator of preclinical Alzheimer disease (AD). To better understand their relationship during the earliest preclinical stages, we investigated baseline CSF markers in cognitively normal individuals at different stages of amyloid deposition defined by longitudinal amyloid imaging with Pittsburgh compound B (PIB): (1) PIB-negative at baseline and follow-up (PIB(-) ; normal), (2) PIB-negative at baseline but PIB-positive at follow-up (PIB converters; early preclinical AD), and (3) PIB-positive at baseline and follow-up (PIB(+) ; preclinical AD).

methodsCognitively normal individuals (n = 164) who had undergone baseline PIB scan and CSF collection within 1 year of each other and at least 1 additional PIB follow-up were included. Amyloid status was defined dichotomously using an a priori mean cortical cutoff.

resultsPIB converters (n = 20) at baseline exhibited significantly lower CSF Aβ42 compared to those who remained PIB-negative (n = 123), but higher compared to the PIB(+) group (n = 21). A robust negative correlation (r = -0.879, p = 0.0001) between CSF Aβ42 and absolute (but subthreshold) PIB binding was observed during this early preclinical stage. The negative correlation was not as strong once individuals were PIB-positive (r = -0.456, p = 0.038), and there was no correlation in the stable PIB(-) group (p = 0.905) or in the group (n = 10) with early symptomatic AD (p = 0.537).

interpretationCSF Aβ42 levels are tightly coupled with cortical amyloid load in the earliest stages of preclinical AD, and begin to decrease dramatically prior to the point when an abnormal threshold of cortical accumulation is detected with amyloid imaging. Ann Neurol 2016;80:379-387.

Indexed as

Aniline CompoundsDisease ProgressionProdromal SymptomsThiazolesAgedAged, 80 and overAlzheimer DiseaseAmyloid beta-PeptidesEarly DiagnosisFemaleFollow-Up StudiesHumansMaleMiddle AgedPeptide Fragments2-(4'-(methylamino)phenyl)-6-hydroxybenzothiazoleAmyloid beta-Peptidesamyloid beta-protein (1-42)Aniline CompoundsPeptide FragmentsThiazoles

Identifiers

PMID27398953
PMCPMC5016232
OpenAlexW2492380270

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.