Evidence map›Paper›PMID 31178987›Full record

ArticleJournal of healthcare engineering2019

Quantitative Assessment of Autonomic Regulation of the Cardiac System.

Jian Kang Wu, Zhipei Huang, Zhiqiang Zhang, Wendong Xiao, Hong Jiang

Open access · hybridAbstract read
In one paragraph

Article in Journal of healthcare engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Visit-to-visit blood pressure variability and sleep architecture.Journal of clinical hypertension (Greenwich, Conn.) · 2021
    Article
  5. Heart rate variability and hematological parameters in pregnant women.Journal of clinical laboratory analysis · 2020
    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

5 authors at 5 institutions in 2 countries.

Jian Kang WuThe University of Chinese Academy of Sciences, Beijing, China.ORCID 0000-0003-2867-8676
Zhipei HuangThe University of Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-8034-939X
Zhiqiang ZhangUniversity of Leeds, West Yorkshire, UK.ORCID 0000-0003-0204-3867
Wendong XiaoBeijing University of Science and Technology, Beijing, China.ORCID 0000-0002-2270-7889
Hong JiangChina-Japan Friendship Hospital, Beijing, China.
China-Japan Friendship Hospital · CNChinese Academy of Sciences · CNUniversity of Chinese Academy of Sciences · CNUniversity of Leeds · GBUniversity of Science and Technology Beijing · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autonomic neural system (ANS) regulates the circulation to provide optimal perfusion of every organ in accordance with its metabolic needs, and the quantitative assessment of autonomic regulation is crucial for personalized medicine in cardiovascular diseases. In this paper, we propose the Dystatis to quantitatively evaluate autonomic regulation of the human cardiac system, based on homeostatis and probabilistic graphic model, where homeostatis explains ANS regulation while the probability graphic model systematically defines the regulation process for quantitative assessment. The indices and measurement methods for three well-designed scenarios are also illustrated to evaluate the proposed Dystatis: (1) heart rate variability (HRV), blood pressure variability (BPV), and respiration synchronization (Synch) in resting situation; (2) chronotropic competence indices (CCI) in graded exercise testing; and (3) baroreflex sensitivity (BRS), sympathetic nerve activity (SNA), and parasympathetic nerve activity (PNA) in orthostatic testing. The previous clinical results have shown that the proposed method and indices for autonomic cardiac system regulation have great potential in prediction, diagnosis, and rehabilitation of cardiovascular diseases, hypertension, and diabetes.

Indexed as

Autonomic Nervous SystemCardiovascular DiseasesDiagnostic Techniques, CardiovascularHeartHemodynamicsHumansModels, CardiovascularRespiratory Rate

Identifiers

PMID31178987
PMCPMC6501147
OpenAlexW2938148978

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.