Evidence map›Paper›PMID 28436467›Full record

Trial reportScientific reports2017

Prediction of intraventricular haemorrhage in preterm infants using time series analysis of blood pressure and respiratory signals.

Jacqueline Huvanandana, Chinh Nguyen, Cindy Thamrin, Mark Tracy, Murray Hinder, Alistair L McEwan

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. IVH scoring system.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2018
    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

6 authors at 3 institutions in 1 country.

Jacqueline HuvanandanaSchool of Electrical and Information Engineering, University of Sydney, Sydney, Australia.
Chinh NguyenWoolcock Institute of Medical Research, University of Sydney, Sydney, Australia.
Cindy ThamrinWoolcock Institute of Medical Research, University of Sydney, Sydney, Australia.
Mark TracyWestmead Hospital, Sydney, Australia.
Murray HinderSchool of Electrical and Information Engineering, University of Sydney, Sydney, Australia.
Alistair L McEwanSchool of Electrical and Information Engineering, University of Sydney, Sydney, Australia.
The University of Sydney · AUWestmead Hospital · AUWoolcock Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the decline in mortality rates of extremely preterm infants, intraventricular haemorrhage (IVH) remains common in survivors. The need for resuscitation and cardiorespiratory management, particularly within the first 24 hours of life, are important factors in the incidence and timing of IVH. Variability analyses of heart rate and blood pressure data has demonstrated potential approaches to predictive monitoring. In this study, we investigated the early identification of infants at a high risk of developing IVH, using time series analysis of blood pressure and respiratory data. We also explore approaches to improving model performance, such as the inclusion of multiple variables and signal pre-processing to enhance the results from detrended fluctuation analysis. Of the models we evaluated, the highest area under receiver-operator characteristic curve (5th, 95th percentile) achieved was 0.921 (0.82, 1.00) by mean diastolic blood pressure and the long-term scaling exponent of pulse interval (PI α

Indexed as

Blood PressureCerebral HemorrhageInfant, PrematureInfant, Premature, DiseasesModels, BiologicalFemaleHumansInfant, NewbornMalePredictive Value of TestsRespiratory Function Tests

Identifiers

PMID28436467
PMCPMC5402275
OpenAlexW2609270370

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.