Evidence map›Paper›PMID 29807371›Full record

ArticleAmerican journal of perinatology2018

Early Pulse Oximetry Data Improves Prediction of Death and Adverse Outcomes in a Two-Center Cohort of Very Low Birth Weight Infants.

B A Sullivan, A Wallman-Stokes, J Isler, R Sahni, J R Moorman, K D Fairchild, D E Lake

Abstract read
In one paragraph

Article in American journal of perinatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities.Journal of perinatology : official journal of the California Perinatal Association · 2024
    Review
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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

7 authors.

B A SullivanDepartment of Pediatrics, University of Virginia, Charlottesville, Virginia.
A Wallman-StokesDepartment of Pediatrics, Columbia University, New York, New York.
J IslerDepartment of Pediatrics, Columbia University, New York, New York.
R SahniDepartment of Pediatrics, Columbia University, New York, New York.
J R MoormanDepartment of Medicine, University of Virginia, Charlottesville, Virginia.
K D FairchildDepartment of Pediatrics, University of Virginia, Charlottesville, Virginia.
D E LakeDepartment of Medicine, University of Virginia, Charlottesville, Virginia.

Funding

Predictive Informatics Monitoring in the Neonatal Intensive Care UnitR01HD072071 · NICHD · UNIVERSITY OF VIRGINIA · PI KAREN D FAIRCHILD, Brynne Archer Sullivan · 2014 to 2026
$7.6M
NICHD NIH HHS R01 HD072071
6 · The paper itself

Abstract

backgroundWe previously showed, in a single-center study, that early heart rate (HR) characteristics predicted later adverse outcomes in very low birth weight (VLBW) infants. We sought to improve predictive models by adding oxygenation data and testing in a second neonatal intensive care unit (NICU).

methodsHR and oxygen saturation (SpO

resultsModels using clinical or pulse oximetry variables alone performed well for each outcome. POPS performed better than clinical variables for predicting death, sIVH, and BPD (NRI > 0.5,

conclusionAnalysis of early HR-SpO

Indexed as

Infant, Premature, DiseasesOximetryEarly DiagnosisFemaleGestational AgeHumansInfantInfant MortalityInfant, NewbornInfant, Very Low Birth WeightIntensive Care Units, NeonatalMalePredictive Value of TestsRisk AssessmentUnited States

Identifiers

PMID29807371
PMCPMC6262889

What OpenQuestion holds

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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.