Evidence map›Paper›PMID 31304311›Full record

ArticleNPJ digital medicine2018

Using photoplethysmography data to estimate heart rate variability and its association with organ dysfunction in pediatric oncology patients.

Anoop Mayampurath, Samuel L Volchenboum, L Nelson Sanchez-Pinto

Abstract read
In one paragraph

Article in NPJ digital medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Observational
  4. Review
  5. Article
  6. Article
  7. Review
  8. A Vital Sign-Based Model to Predict Clinical Deterioration in Hospitalized Children.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2020
    Observational
  9. Review
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

3 authors.

Anoop Mayampurath1Department of Pediatrics, The University of Chicago, Chicago, IL USA.
Samuel L Volchenboum1Department of Pediatrics, The University of Chicago, Chicago, IL USA.
L Nelson Sanchez-Pinto3Division of Critical Care Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL USA.ORCID 0000-0002-7434-6747

Funding

Re-Engineering Translational Research at the University of ChicagoKL2TR000431 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$2.1M
Training of Junior Faculty for Careers in Omics of Lung DiseasesK12HL119995 · NHLBI · UNIVERSITY OF CHICAGO · PI GOZAL, DAVID, GROSSMAN, ROBERT L. · 2013 to 2017
$1.3M
NCATS NIH HHS KL2 TR000431NHLBI NIH HHS K12 HL119995
6 · The paper itself

Abstract

Pediatric oncology patients are at high risk of developing clinical deterioration and organ dysfunction during their illness. Heart rate variability (HRV) measured using electrocardiography waveforms is associated with increased organ dysfunction and clinical deterioration in adult and pediatric patients in the intensive care unit (ICU). Here, we explore the feasibility of using photoplethysmography (PPG)-derived integer pulse rate variability (PRVi) to estimate HRV and determine its association with organ dysfunction in pediatric oncology patients in the ward and pediatric ICU. The advantage of using PPG sensor data over electrocardiography is its higher availability in most healthcare settings and in wearable technology. In a cohort of 38 patients, reduced median daily PRVi was significantly associated with increase in two pediatric organ dysfunction scores after adjusting for confounders (

Indexed as

Paediatric researchRisk factors

Identifiers

PMID31304311
PMCPMC6550162

What OpenQuestion holds

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Registered trials

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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.