Evidence map›Paper›PMID 31572166›Full record

ArticleFrontiers in aging neuroscience2019

PET Imaging of Astrogliosis and Tau Facilitates Diagnosis of Parkinsonian Syndromes.

Sonja Schönecker, Matthias Brendel, Carla Palleis, Leonie Beyer, Günter U Höglinger, Elisabeth Schuh, Boris-Stephan Rauchmann, Julia Sauerbeck, Guido Rohrer, Stefan Sonnenfeld and 9 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 9% 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

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

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Clinical application of MAO-B PET usingGeriatrics & gerontology international · 2024
    Review
  6. Article
  7. Review
  8. [Journal of neuroinflammation · 2023
    Article
  9. Article
  10. PET imaging of reactive astrocytes in neurological disorders.European journal of nuclear medicine and molecular imaging · 2022
    Review
  11. Review
  12. Review
  13. Novel Tracers and Radionuclides in PET Imaging.Radiologic clinics of North America · 2021
    Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Scientific reports · 2020
    Article
  20. 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

19 authors at 7 institutions in 3 countries.

Sonja SchöneckerDepartment of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany.
Matthias BrendelDepartment of Nuclear Medicine, University Hospital LMU Munich, Munich, Germany.
Carla PalleisDepartment of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany.
Leonie BeyerDepartment of Nuclear Medicine, University Hospital LMU Munich, Munich, Germany.
Günter U HöglingerGerman Center for Neurodegenerative Diseases (DZNE), Munich, Germany.
Elisabeth SchuhInstitute of Clinical Neuroimmunology, Biomedical Center and University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany.
Boris-Stephan RauchmannInstitute for Clinical Radiology, Ludwig-Maximilians-Universität München, Munich, Germany.
Julia SauerbeckDepartment of Nuclear Medicine, University Hospital LMU Munich, Munich, Germany.
Guido RohrerDepartment of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany.
Stefan SonnenfeldDepartment of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany.
Katsutoshi FurukawaDivision of Community Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan.
Aiko IshikiDepartment of Geriatrics and Gerontology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Nobuyuki OkamuraDivision of Pharmacology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan.
Peter BartensteinDepartment of Nuclear Medicine, University Hospital LMU Munich, Munich, Germany.
Marianne DieterichDepartment of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany.
Kai BötzelDepartment of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany.
Adrian DanekDepartment of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany.
Axel RomingerDepartment of Nuclear Medicine, University Hospital LMU Munich, Munich, Germany.
Johannes LevinDepartment of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany.
Ludwig-Maximilians-Universität München · DELMU Klinikum · DETohoku Medical and Pharmaceutical University · JPGerman Center for Neurodegenerative Diseases · DEMunich Cluster for Systems Neurology · DETechnical University of Munich · DETohoku University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodegenerative parkinsonian syndromes comprise a number of disorders that are characterized by similar clinical features but are separated on the basis of different pathologies, i.e., aggregates of α-synuclein or tau protein. Due to the overlap of signs and symptoms a precise differentiation is often difficult, especially early in the disease course. Enormous efforts have been taken to develop tau-selective PET imaging agents, but strong off-target binding to monoamine oxidase B (MAO-B) has been observed across first generation ligands. Nonetheless, astrogliosis-related MAO-B elevation is a common histopathological known feature of all parkinsonian syndromes and might be itself an interesting imaging target. Therefore, this study aimed to investigate the performance of [

Indexed as

[18F]-THK5351astrogliosisMAO-Bparkinsonian syndromestau-PET

Identifiers

PMID31572166
PMCPMC6749151
OpenAlexW2969365254

What OpenQuestion holds

Textmetadata
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.