Evidence map›Paper›PMID 32328158›Full record

ArticleComputational and mathematical methods in medicine2020

Preprocessing Unevenly Sampled RR Interval Signals to Enhance Estimation of Heart Rate Deceleration and Acceleration Capacities in Discriminating Chronic Heart Failure Patients from Healthy Controls.

Ping Cao, Bailu Ye, Linghui Yang, Fei Lu, Luping Fang, Guolong Cai, Qun Su, Gangmin Ning, Qing Pan

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2020. 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
–field-weighted citation impact
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.

  1. Article
  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

9 authors.

Ping CaoCollege of Information Engineering, Zhejiang University of Technology, 288 Liuhe Road, Hangzhou 310023, China.ORCID https://orcid.org/0000-0002-7981-6517
Bailu YeCollege of Information Engineering, Zhejiang University of Technology, 288 Liuhe Road, Hangzhou 310023, China.ORCID https://orcid.org/0000-0001-8309-0600
Linghui YangCollege of Information Engineering, Zhejiang University of Technology, 288 Liuhe Road, Hangzhou 310023, China.ORCID https://orcid.org/0000-0002-3527-9940
Fei LuCollege of Information Engineering, Zhejiang University of Technology, 288 Liuhe Road, Hangzhou 310023, China.ORCID https://orcid.org/0000-0002-5536-3779
Luping FangCollege of Information Engineering, Zhejiang University of Technology, 288 Liuhe Road, Hangzhou 310023, China.ORCID https://orcid.org/0000-0001-7752-4839
Guolong CaiDepartment of ICU, Zhejiang Hospital, 12 Lingyin Road, Hangzhou 310013, China.
Qun SuDepartment of ICU, First Affiliated Hospital Zhejiang University, 79 Qingchun Road, Hangzhou 310003, China.ORCID https://orcid.org/0000-0002-7306-5716
Gangmin NingDepartment of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang University, 38 Zheda Road, Hangzhou 310027, China.ORCID https://orcid.org/0000-0001-9107-5785
Qing PanCollege of Information Engineering, Zhejiang University of Technology, 288 Liuhe Road, Hangzhou 310023, China.ORCID https://orcid.org/0000-0001-7145-6011

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AlgorithmsAnalysis of VarianceAutonomic Nervous SystemCase-Control StudiesChronic DiseaseComputational BiologyComputer SimulationDatabases, FactualDiagnosis, Computer-AssistedElectrocardiographyHeart FailureHeart RateHumansModels, CardiovascularSignal Processing, Computer-AssistedWavelet Analysis

Identifiers

PMID32328158
PMCPMC7150734

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.