Evidence map›Paper›PMID 32110519›Full record

ArticleTzu chi medical journal

Compatibility of pulse-pulse intervals with R-R intervals in assessing cardiac autonomic function and its relation to risks of atherosclerosis.

Cheuk-Kwan Sun, Cyuan-Cin Liu, Wei-Min Liu, Hsien-Tsai Wu, Ruay-Ming Huang, An-Bang Liu

Open access · diamondAbstract read
In one paragraph

Article in Tzu chi medical journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Observational
  2. Article
  3. 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

6 authors at 4 institutions in 1 country.

Cheuk-Kwan SunDepartment of Emergency Medicine, E-Da Hospital and I-Shou University College of Medicine, Kaohsiung, Taiwan.
Cyuan-Cin LiuDepartment of Electrical Engineering, National Dong Hwa University, Hualien, Taiwan.
Wei-Min LiuDepartment of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan.
Hsien-Tsai WuDepartment of Electrical Engineering, National Dong Hwa University, Hualien, Taiwan.
Ruay-Ming HuangDepartment of Internal Medicine, Hualien Hospital, Ministry of Health and Welfare, Executive Yuan, Hualien, Taiwan.
An-Bang LiuDepartment of Neurology, Buddhist Tzu Chi General Hospital and Tzu Chi University, Hualien, Taiwan.
Ministry of Health and Welfare · TWNational Dong Hwa University · TWBuddhist Tzu Chi General Hospital · TWE-Da Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHeart rate variability (HRV) analysis using electrocardiographic R-R intervals (RRIs) in either a time or a frequency domain is a useful tool for assessing cardiac autonomic dysfunction in clinical research. For convenience, pulse-pulse intervals (PPIs) acquired by photoplethysmography have been used to assess HRV. However, the compatibility of PPI with RRI is controversial. MATERIALS AND

methodsIn this study, we investigated the compatibility of PPI with RRI in five groups of participants, including nonoverweight young individuals with a body mass index (BMI) <24 kg/m

resultsThe CAE values in Group 1 were significantly lower than those in Group 2 (1.68 ± 0.16 vs. 1.78 ± 0.15,

conclusionPPI may be an alternative parameter for effectively assessing cardiac autonomic function in nonoverweight healthy individuals. It should be used carefully in overweight, elderly, or diabetic individuals.

Indexed as

Cross-approximate entropyHeart rate variabilityPulse transit timeR–R intervals

Identifiers

PMID32110519
PMCPMC7015001
OpenAlexW2915766961

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.