Evidence map›Paper›PMID 32477245›Full record

ArticleFrontiers in neurology2020

Dopamine Buffering Capacity Imaging: A Pharmacodynamic fMRI Method for Staging Parkinson Disease.

Kevin J Black, Haley K Acevedo, Jonathan M Koller

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03205956 (Dopamine Buffering Capacity Measured by phMRI as a Novel Biomarker of Disease Progression in PD), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 27% 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.

NCT03205956 phase1completednot on this map

Dopamine Buffering Capacity Measured by phMRI as a Novel Biomarker of Disease Progression in PD

TypeinterventionalSponsorKevin J. Black, MDRan2017 to 2019Enrolled31ConditionsParkinson's DiseaseArmsLevodopa
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Review
  6. Refining the clinical diagnosis of Parkinson's disease.Parkinsonism & related disorders · 2024
    Review
  7. Article
  8. Article
  9. 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

3 authors at 1 institution in 1 country.

Kevin J BlackDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO, United States.
Haley K AcevedoDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO, United States.
Jonathan M KollerDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO, United States.
Washington University in St. Louis · US

Funding

Dopamine D1 Effects on Blood Flow, Metabolism, and BOLDR01NS044598 · NINDS · WASHINGTON UNIVERSITY · PI BLACK, KEVIN J · 2002 to 2004
$1.1M
NINDS NIH HHS R01 NS044598
6 · The paper itself

Abstract

We propose a novel pharmacological fMRI (phMRI) method for objectively quantifying disease severity in Parkinson disease (PD). It is based on the clinical observation that the benefit from a dose of levodopa wears off more quickly as PD progresses. Biologically this has been thought to represent decreased buffering capacity for dopamine as nigrostriatal cells die. Buffering capacity has been modeled based on clinical effects, but clinical measurements are influenced by confounding factors. The new method proposes to measure the effect objectively based on the timing of the known response of several brain regions to exogenous levodopa. Such responses are robust and can be quantified using perfusion MRI. Here we present simulation studies based on published clinical dose-response data and an intravenous levodopa infusion. Standard pharmacokinetic-pharmacodynamic methods were used to model the response. Then the effect site rate constant

Indexed as

ASLdrug discovery and developmenthysteresislevodopapharmacodynamicspharmacokinetic-pharmacodynamic modelingpharmacological biomarkersphMRI

Identifiers

PMID32477245
PMCPMC7232584
OpenAlexW3021330735

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.