Evidence map›Paper›PMID 37371150›Full record

ArticleChildren (Basel, Switzerland)2023

Machine Learning Detects Intraventricular Haemorrhage in Extremely Preterm Infants.

Minoo Ashoori, John M O'Toole, Ken D O'Halloran, Gunnar Naulaers, Liesbeth Thewissen, Jan Miletin, Po-Yin Cheung, Afif El-Khuffash, David Van Laere, Zbyněk Straňák and 2 more

Open access · goldAbstract read
In one paragraph

Article in Children (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Development of a machine learning model for prediction of intraventricular hemorrhage in premature neonates.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2024
    Article
  8. Article
  9. Monitoring and evaluation of hypotension in the extremely preterm.Frontiers in cardiovascular medicine · 2024
    Review
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

12 authors at 6 institutions in 4 countries.

Minoo AshooriINFANT Research Centre, University College Cork, T12 AK54 Cork, Ireland.
John M O'TooleINFANT Research Centre, University College Cork, T12 AK54 Cork, Ireland.ORCID 0000-0001-9021-1183
Ken D O'HalloranINFANT Research Centre, University College Cork, T12 AK54 Cork, Ireland.ORCID 0000-0002-8832-1153
Gunnar NaulaersDepartment of Development and Regeneration, Katholieke Universiteit Leuven, Herestraat 49, 3000 Leuven, Belgium.
Liesbeth ThewissenNeonatal Intensive Care, Katholieke Universiteit Hospital Leuven, Herestraat 49, 3000 Leuven, Belgium.
Jan MiletinPaediatric and Newborn Medicine, Coombe Women's Hospital, D08 XW7X Dublin, Ireland.ORCID 0000-0003-0489-6054
Po-Yin CheungDepartment of Paediatrics, University of Alberta, Edmonton, AB T6G 1C9, Canada.ORCID 0000-0002-7141-1523
Afif El-KhuffashFaculty of Medicine and Health Sciences, Royal College of Surgeons in Ireland, D02 P796 Dublin, Ireland.ORCID 0000-0002-2933-822X
David Van LaereNeonatale Intensive Care Unit, Universitair Ziekenhuis, (UZ) Antwerp, Drie Eikenstraat 655, 2650 Antwerp, Belgium.
Zbyněk StraňákInstitute for the Care of Mother and Child, Third Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic.
Eugene M DempseyINFANT Research Centre, University College Cork, T12 AK54 Cork, Ireland.
Fiona B McDonaldINFANT Research Centre, University College Cork, T12 AK54 Cork, Ireland.ORCID 0000-0002-8644-1004
University College Cork · IEKU Leuven · BECharles University · CZCoombe Women & Infants University Hospital · IERoyal College of Surgeons in Ireland · IEUniversity of Alberta · CA

Funding

Science Foundation Ireland 12/RC/2272Science Foundation Ireland SFI 15/SIRG/3580Science Foundation Ireland SFI 18/SIRG/5483
6 · The paper itself

Abstract

objectiveTo test the potential utility of applying machine learning methods to regional cerebral (rcSO STUDY

designA subset of infants enrolled in the Management of Hypotension in Preterm infants (HIP) trial were analysed (

resultsThe area under the receiver operating characteristic curve (AUC) for the PRD rcSO

conclusionThere was a significant association between the data-driven definition of PRDs in rcSO

Indexed as

extreme gradient boosting (XGBoost)near-infrared spectroscopy (NIRS)peripheral oxygen saturation (SpO2)prolonged relative desaturation (PRD)regional cerebral oxygen saturation (rcSO2)

Identifiers

PMID37371150
PMCPMC10297241
OpenAlexW4377987141

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.