Evidence map›Paper›PMID 39178814›Full record

ArticleJournal of electrocardiology

Technical article: Overview of hospital-based data capture systems that acquire continuous ECG and physiologic data.

Michele M Pelter, Priya A Prasad, David W Mortara, Fabio Badilini

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of electrocardiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Time-series ECG Imputation Using a Pattern-Based Masking Framework.medRxiv : the preprint server for health sciences · 2026
    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

4 authors.

Michele M PelterDepartment of Physiological Nursing, University of California San Francisco School of Nursing, California, USA. Electronic address: michele.pelter@ucsf.edu.
Priya A PrasadDepartment of Medicine, Division of Hospital Medicine, University of California San Francisco School of Medicine, California, USA. Electronic address: priya.prasad@ucsf.edu.
David W MortaraDepartment of Physiological Nursing, University of California San Francisco School of Nursing, California, USA; Division of Cardiology, University of California San Francisco School of Medicine, California, USA. Electronic address: david.mortara@ucsf.edu.
Fabio BadiliniDepartment of Physiological Nursing, University of California San Francisco School of Nursing, California, USA; Division of Cardiology, University of California San Francisco School of Medicine, California, USA. Electronic address: fabio.badilini@ucsf.edu.

Funding

Evaluation of a novel ECG algorithm to identify and predict ventricular tachycardia in ICU and non-ICU patients with in-hospital cardiac arrestR01HL167975 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Michele M. Pelter · 2024 to 2026
$2.3M
NHLBI NIH HHS R01 HL167975
6 · The paper itself

Abstract

Data capture systems that acquire continuous hospital-based electrocardiographic (ECG) and physiologic (vital signs) data can foster robust research (i.e., large sample sizes from consecutive patients). However, the application of these systems and the data generated are complex and requires careful human oversight to ensure that accurate and high quality data are procured. This technical article will describe two different data capture systems created by our research group designed to examine false alarms associated with alarm fatigue in nurses. The following aspects regarding these data capture systems will be discussed: (1) history of development; (2) summary of advantages, challenges, and important considerations; (3) their use in research; (4) their use in clinical care; and (5) future developments.

Indexed as

ElectrocardiographyClinical AlarmsHumansMonitoring, PhysiologicData capture systemData collectionECG monitoringIntensive care unitPhysiologic monitoringResearch methodsTechnical aspects of research

Identifiers

PMID39178814
PMCPMC11580441

What OpenQuestion holds

Textmetadata
LicenceTDM
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.