Evidence map›Paper›PMID 30232650›Full record

ReviewCurrent neurology and neuroscience reports2018

Imaging the Autonomic Nervous System in Parkinson's Disease.

Karoline Knudsen, Per Borghammer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current neurology and neuroscience reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. [Molecular imaging and biology · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Biomarkers of Parkinson's disease: 20 years later.Journal of neural transmission (Vienna, Austria : 1996) · 2019
    Review
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

2 authors at 1 institution in 1 country.

Karoline KnudsenDepartment of Nuclear Medicine and PET Centre Aarhus University Hospital, Institute of Clinical Medicine Aarhus University, Norrebrogade 44, Building 10, 8000, Aarhus C, Denmark.
Per BorghammerDepartment of Nuclear Medicine and PET Centre Aarhus University Hospital, Institute of Clinical Medicine Aarhus University, Norrebrogade 44, Building 10, 8000, Aarhus C, Denmark. perborgh@rm.dk.
Aarhus University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewPatients with Parkinson's disease (PD) often display gastrointestinal and genitourinary autonomic symptoms years or even decades prior to diagnosis. These symptoms are thought to be caused in part by pathological α-synuclein inclusions in the peripheral autonomic and enteric nervous systems. It has been proposed that the initial α-synuclein aggregation may in some PD patients originate in peripheral nerve terminals and then spread centripetally to the spinal cord and brainstem. In vivo imaging methods can directly quantify the degeneration of the autonomic nervous system as well as the functional consequences such as perturbed motility. Here, we review the methodological principles of these imaging techniques and the major findings in patients with PD and atypical parkinsonism. RECENT

findingsLoss of sympathetic and parasympathetic nerve terminals in PD can be visualized using radiotracer imaging, including

Indexed as

Autonomic Nervous SystemHumansParkinson DiseaseParkinsonian DisordersPositron-Emission TomographyRadionuclide ImagingTomography, Emission-Computed, Single-PhotonAutonomic nervous systemParkinsonPETSPECT

Identifiers

PMID30232650
OpenAlexW2889698214

What OpenQuestion holds

Textmetadata
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.