Evidence map›Paper›PMID 35859325›Full record

ArticlePhysiological reports2022

Linear and nonlinear identification of the carotid sinus baroreflex in the very low-frequency range.

Toru Kawada, Tadayoshi Miyamoto, Ramakrishna Mukkamala, Keita Saku

Open access · goldAbstract read
In one paragraph

Article in Physiological reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 2 countries.

Toru KawadaDepartment of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center, Osaka, Japan.ORCID https://orcid.org/0000-0002-4429-1802
Tadayoshi MiyamotoDepartment of Sport and Health Sciences, Faculty of Sport and Heath Sciences, Osaka Sangyo University, Osaka, Japan.
Ramakrishna MukkamalaDepartment of Bioengineering and Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Keita SakuDepartment of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center, Osaka, Japan.
National Cerebral and Cardiovascular Center · JPOsaka Sangyo University · JPUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the arterial baroreflex system is classified as an immediate control system, the focus has been on analyzing its dynamic characteristics in the frequency range between 0.01 and 1 Hz. Although the dynamic characteristics in the frequency range below 0.01 Hz are not expected to be large, actual experimental data are scant. The aim was to identify the dynamic characteristics of the carotid sinus baroreflex in the frequency range down to 0.001 Hz. The carotid sinus baroreceptor regions were isolated from the systemic circulation, and carotid sinus pressure (CSP) was changed every 10 s according to Gaussian white noise with a mean of 120 mmHg and standard deviation of 20 mmHg for 90 min in anesthetized Wistar-Kyoto rats (n = 8). The dynamic gain of the linear transfer function relating CSP to arterial pressure (AP) at 0.001 Hz tended to be greater than that at 0.01 Hz (1.060 ± 0.197 vs. 0.625 ± 0.067, p = 0.080), suggesting that baroreflex control was largely maintained at 0.001 Hz. Regarding nonlinear analysis, a second-order Uryson model predicted AP with a higher R

Indexed as

BaroreflexCarotid SinusAnimalsArterial PressureBlood PressurePressoreceptorsRatsRats, Inbred WKYSympathetic Nervous Systemarterial baroreflexGaussian white noisetransfer functionUryson model

Identifiers

PMID35859325
PMCPMC9300957
OpenAlexW4286512149

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.