Evidence map›Paper›PMID 20623313›Full record

ArticleClinical autonomic research : official journal of the Clinical Autonomic Research Society2010

Catecholamines 101.

David S Goldstein

Open access · greenAbstract readHistorical Article
In one paragraph

Article in Clinical autonomic research : official journal of the Clinical Autonomic Research Society, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
1.1field-weighted citation impact, top 18% 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

44 citing papers in PubMed, 104 citations in OpenAlex.

  1. Trial
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  4. Lack of regional and whole body sympathetic normalization during antihypertensive drug treatment: a potential link for the residual risk.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2026
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  10. Peripheral catecholamine systems: an evolutionary perspective.American journal of physiology. Regulatory, integrative and comparative physiology · 2025
    Review
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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

1 author at 1 institution in 1 country.

David S GoldsteinClinical Neurocardiology Section, Clinical Neurosciences Program, Division of Intramural Research, National Institute of Neurological Disorders and Stroke, National Institutes of Health, 10 Center Drive MSC-1620, 9000 Rockville Pike, Bldg. 10 Rm. 5N220, Bethesda, MD 20892, USA. goldsteind@ninds.nih.gov
National Institutes of Health · US

Funding

Biomarkers of Parkinson Disease and Related DisordersZIANS003034 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI GOLDSTEIN, DAVID · 2009 to 2025
$22.8M
Intramural NIH HHS Z99 NS999999
6 · The paper itself

Abstract

This review of clinical catecholamine neurochemistry is based on the Streeten Memorial Lecture at the 19th annual meeting of the American Autonomic Society and lectures at a satellite of the 6th Congress of the International Society of Autonomic Neuroscience. Here I provide historical perspective, describe sources and meanings of plasma levels of catecholamines and their metabolites, present a model of a sympathetic noradrenergic neuron that conveys how particular aspects of sympathetic nervous function affect plasma levels of catecholamines and their metabolites, and apply the model to understand plasma neurochemical patterns associated with some drugs and disease states.

Indexed as

AnimalsAutonomic Nervous SystemAutonomic Nervous System DiseasesCatecholaminesCholinergic AgentsHistory, 20th CenturyHumansModels, NeurologicalNobel PrizeParasympathetic Nervous SystemCatecholaminesCholinergic Agents

Identifiers

PMID20623313
PMCPMC3046107
OpenAlexW4211125082

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.