Evidence map›Paper›PMID 30588312›Full record

ReviewArrhythmia & electrophysiology review2018

Heart Rate Variability: An Old Metric with New Meaning in the Era of Using mHealth technologies for Health and Exercise Training Guidance. Part Two: Prognosis and Training.

Nikhil Singh, Kegan James Moneghetti, Jeffrey Wilcox Christle, David Hadley, Victor Froelicher, Daniel Plews

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Arrhythmia & electrophysiology review, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 6 pooled it
–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

76 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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16 more citing papers are in PubMed but not listed here.

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.

Nikhil SinghDepartment of Medicine, Keck School of Medicine of University of Southern California Los Angeles, CA, USA.
Kegan James MoneghettiDepartment of Medicine, St Vincent's Hospital, University of Melbourne Australia.
Jeffrey Wilcox ChristleDivision of Cardiovascular Medicine, Department of Medicine, Stanford School of Medicine Stanford, CA, USA.
David HadleyCardiac Insight Inc Seattle, USA.
Victor FroelicherDivision of Cardiovascular Medicine, Department of Medicine, Stanford School of Medicine Stanford, CA, USA.
Daniel PlewsSports Performance Research Institute New Zealand, Auckland University of Technology Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been demonstrated that heart rate variability (HRV) is predictive of all-cause and cardiovascular mortality using clinical ECG recordings. This is true for rest, exercise and ambulatory HRV clinical ECG device recordings in prospective cohorts. Recently, there has been a rapid increase in the use of mobile health technologies (mHealth) and commercial wearable fitness devices. Most of these devices use ECG or photo-based plethysmography and both are validated for providing accurate heart rate measurements. This offers the opportunity to make risk information from HRV more widely available. The physiology of HRV and the available technology by which it can be assessed has been summarised in Part 1 of this review. In Part 2 the association between HRV and risk stratification is addressed by reviewing the current evidence from data acquired by resting ECG, exercise ECG and medical ambulatory devices. This is followed by a discussion of the use of HRV to guide the training of athletes and as a part of fitness programmes.

Indexed as

athletic performanceathletic trainingexerciseHeart rate variabilitymobile health technologiesprognosis

Identifiers

PMID30588312
PMCPMC6304793

What OpenQuestion holds

Textmetadata
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.