Evidence map›Paper›PMID 30563515›Full record

ArticleBiomedical engineering online2018

A refined method of quantifying deceleration capacity index for heart rate variability analysis.

Hongyun Liu, Ping Zhan, Jinlong Shi, Guojing Wang, Buqing Wang, Weidong Wang

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Hongyun LiuDepartment of Biomedical Engineering, Chinese PLA General Hospital, Room_105, South Ward Building, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China.
Ping ZhanCenter of Medical Device R & D and Clinical Evaluation, Chinese PLA General Hospital, Beijing, 100853, China.
Jinlong ShiDepartment of Biomedical Engineering, Chinese PLA General Hospital, Room_105, South Ward Building, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China.
Guojing WangDepartment of Biomedical Engineering, Chinese PLA General Hospital, Room_105, South Ward Building, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China.
Buqing WangDepartment of Biomedical Engineering, Chinese PLA General Hospital, Room_105, South Ward Building, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China.
Weidong WangDepartment of Biomedical Engineering, Chinese PLA General Hospital, Room_105, South Ward Building, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China. wang_weidong301@163.com.
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhase-rectified signal averaging (PRSA) was often applied to assess the cardiac vagal modulation. Despite its broad use, this method suffers from the confounding effects of anomalous variants of sinus rhythm. This study aimed to improve the original PRSA method in deceleration capacity (DC) quantification.

methodsThe refined deceleration capacity (DC

resultsExperimental results demonstrate that the original and refined DCs calculated from 24-h, 2-h, and 30-min Holter recordings are significantly lower in patients with ESRD than those in the healthy group. In receiver operating characteristic curve analysis, the DC

conclusionsThe DC

Indexed as

DecelerationElectrocardiographyHeart RateSignal Processing, Computer-AssistedAdultCase-Control StudiesFemaleHumansKidney Failure, ChronicMaleMiddle AgedAutonomic nervous systemDeceleration capacityHeart rate variabilityPhase-rectified signal averaging

Identifiers

PMID30563515
PMCPMC6299532
OpenAlexW2905374294

What OpenQuestion holds

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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.