ReviewPediatric research2020
Continuous vital sign analysis for predicting and preventing neonatal diseases in the twenty-first century: big data to the forefront.
Review in Pediatric research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 68 papers, 1 of them a synthesis that pooled 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.
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.
Research on the Early Warning Model of Children Asthma Acute Attack Based on Wearable Wrist Smart Device of Huami
Vitls Feasibility Physiologic Monitoring
Who cites it
68 citing papers in PubMed, 1 synthesis or guideline pooled it, 136 citations in OpenAlex.
- Next generation of non-contact and wireless vital sign monitoring technology in the neonatal intensive care unit: a systematic review.Pediatric research · 2026Pooled it
- Aligning neonatal sepsis triage diagnostics with WHO target product profiles in low- and middle-income countries.BMJ global health · 2026Review
- Multimodal approach to intraventricular hemorrhage using echocardiography, near-infrared spectroscopy, and electrical cardiometry in preterm infants.Journal of perinatology : official journal of the California Perinatal Association · 2026Article
- Postnatal Steroids in Preterm Infants: A Narrative Review Series-Part 2: Cardiovascular Impacts.Children (Basel, Switzerland) · 2026Review
- A deep-learning approach to predict mortality in very-low-birth-weight infants treated in the intensive care units using DeepSurv.Frontiers in pediatrics · 2026Article
- Millimeter-Wave MIMO radar for contactless neonatal heart-rate assessment: performance under common resuscitation-related maneuvers and feasibility in clinical workflow.Frontiers in pediatrics · 2026Article
- Parents and Health Care Providers' Perspectives on Vital Signs Monitoring Technologies in the Neonatal Intensive Care Unit: An International Survey.American journal of perinatology · 2026Article
- Physiological responses to retinopathy of prematurity screening: indirect ophthalmoscopy versus ultra-widefield retinal imaging.Pediatric research · 2025Article
- Transforming neonatal care through informatics: A review of artificial intelligence, data, and implementation considerations.Seminars in perinatology · 2025Review
- Real-Time Health Monitoring Using 5G Networks: Deep Learning-Based Architecture for Remote Patient Care.JMIRx med · 2025Article
- Future perspectives of heart rate and oxygenation monitoring in the neonatal intensive care unit - a narrative review.Journal of clinical monitoring and computing · 2025Review
- A Framework to Evaluate Feasibility, Safety, and Accuracy of Wireless Sensors in the Neonatal Intensive Care Unit: Oxygen Saturation Monitoring.Sensors (Basel, Switzerland) · 2025Article
- Article
- Leveraging oxygen saturation monitoring for improved detection of pulmonary hypertension in preterm infants.Pediatric research · 2025Article
- Continuous non-contact vital sign monitoring of neonates in intensive care units using RGB-D cameras.Scientific reports · 2025Article
- Heart rate patterns predicting cerebral palsy in preterm infants.Pediatric research · 2025Article
- Cardiorespiratory interactions during the transitional period in extremely preterm infants: a narrative review.Pediatric research · 2025Review
- Oxycardiorespirograms in neonatal monitoring-current gaps and future potential of artificial intelligence: a mini-review.Frontiers in pediatrics · 2025Review
- Enhancing bronchopulmonary dysplasia prediction in preterm infants using artificial intelligence and multimodal data integration.Frontiers in pediatrics · 2025Review
- Wireless skin sensors for electrocardiogram and heart rate monitoring in the neonatal intensive care unit: a prospective feasibility, safety, and accuracy study.Frontiers in bioengineering and biotechnology · 2025Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
In the neonatal intensive care unit (NICU), heart rate, respiratory rate, and oxygen saturation are vital signs (VS) that are continuously monitored in infants, while blood pressure is often monitored continuously immediately after birth, or during critical illness. Although changes in VS can reflect infant physiology or circadian rhythms, persistent deviations in absolute values or complex changes in variability can indicate acute or chronic pathology. Recent studies demonstrate that analysis of continuous VS trends can predict sepsis, necrotizing enterocolitis, brain injury, bronchopulmonary dysplasia, cardiorespiratory decompensation, and mortality. Subtle changes in continuous VS patterns may not be discerned even by experienced clinicians reviewing spot VS data or VS trends captured in the monitor. In contrast, objective analysis of continuous VS data can improve neonatal outcomes by allowing heightened vigilance or preemptive interventions. In this review, we provide an overview of the studies that have used continuous analysis of single or multiple VS, their interactions, and combined VS and clinical analytic tools, to predict or detect neonatal pathophysiology. We make the case that big-data analytics are promising, and with continued improvements, can become a powerful tool to mitigate neonatal diseases in the twenty-first century.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.