Evidence map›Paper›PMID 30679791›Full record

ArticlePediatric research2019

Continuous pulse oximetry and respiratory rate trends predict short-term respiratory and growth outcomes in premature infants.

Alyssa Warburton, Ranjan Monga, Venkatesh Sampath, Navin Kumar

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Pediatric research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Article
  6. Laser spectroscopic method for remote sensing of respiratory rate.Physical and engineering sciences in medicine · 2023
    Article
  7. Assessment of neonatal respiratory rate variability.Journal of clinical monitoring and computing · 2022
    Article
  8. Observational
  9. Review
  10. Article
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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

4 authors at 2 institutions in 1 country.

Alyssa WarburtonDivision of Neonatology, Hurley Children's Hospital, Flint, MI, 48503, USA.
Ranjan MongaDivision of Neonatology, Hurley Children's Hospital, Flint, MI, 48503, USA.
Venkatesh Sampath *Division of Neonatology, Children's Mercy Hospital, 2401 Gillham Road, Kansas, MO, 64108, USA.
Navin Kumar *Division of Neonatology, Hurley Children's Hospital, Flint, MI, 48503, USA. nkumar1@hurleymc.com.
Hurley Medical Center · USChildren's Mercy Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo examine the correlation between interval vital signs recorded by nursing staff and continuous monitor recordings, and to determine whether aggregated monitor recordings can better predict impending escalation of respiratory support in premature infants.

methodPreterm infants on noninvasive respiratory support or room air (RA) were prospectively enrolled. Nursing-and monitor-recorded pulse oximetry (SpO2) and respiratory rates (RR) data were recorded daily.

resultsNinety four infants were recruited with median gestational age of 32 weeks and birth weight of 1848 g. > 3 × 10

conclusionsMonitor-recorded trends for tachypnea and oxygen saturations < 90% were able to predict short-term respiratory outcomes, and were associated with growth outcomes. This study emphasizes the potential for monitor-recorded data to augment clinical decision making at the bedside.

Indexed as

Infant, PrematureRespiratory RateFemaleHumansHypoxiaInfant, NewbornLength of StayMaleMonitoring, PhysiologicOximetryProspective StudiesWeight GainWork of Breathing

Identifiers

PMID30679791
OpenAlexW2909913580

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.