Evidence map›Paper›PMID 29588296›Full record

ArticleArchives of disease in childhood. Fetal and neonatal edition2019

Estimating neonatal length of stay for babies born very preterm.

Sarah E Seaton, Lisa Barker, Elizabeth S Draper, Keith R Abrams, Neena Modi, Bradley N Manktelow, UK Neonatal Collaborative

Abstract read
In one paragraph

Article in Archives of disease in childhood. Fetal and neonatal edition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. A systematic review of medication costs associated with preterm infants.Cost effectiveness and resource allocation : C/E · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Sarah E SeatonDepartment of Health Sciences, University of Leicester, Leicester, UK.ORCID http://orcid.org/0000-0001-8711-4817
Lisa BarkerNeonatal Unit, University Hospitals of Leicester NHS Trust, Leicester, UK.
Elizabeth S DraperDepartment of Health Sciences, University of Leicester, Leicester, UK.
Keith R AbramsDepartment of Health Sciences, University of Leicester, Leicester, UK.
Neena ModiNeonatal Data Analysis Unit, Section of Neonatal Medicine, Department of Medicine, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-2093-0681
Bradley N ManktelowDepartment of Health Sciences, University of Leicester, Leicester, UK.ORCID http://orcid.org/0000-0002-3264-0323
UK Neonatal Collaborative

Funding

Department of Health DRF-2013-06-011Department of Health RP-PG-0707-10010
6 · The paper itself

Abstract

objectiveTo predict length of stay in neonatal care for all admissions of very preterm singleton babies.

settingAll neonatal units in England. PATIENTS: Singleton babies born at 24-31 weeks gestational age from 2011 to 2014. Data were extracted from the National Neonatal Research Database.

methodsCompeting risks methods were used to investigate the competing outcomes of death in neonatal care or discharge from the neonatal unit. The occurrence of one event prevents the other from occurring. This approach can be used to estimate the percentage of babies alive, or who have been discharged, over time.

resultsA total of 20 571 very preterm babies were included. In the competing risks model, gestational age was adjusted for as a time-varying covariate, allowing the difference between weeks of gestational age to vary over time. The predicted percentage of death or discharge from the neonatal unit were estimated and presented graphically by week of gestational age. From these percentages, estimates of length of stay are provided as the number of days following birth and corrected gestational age at discharge.

conclusionsThese results can be used in the counselling of parents about length of stay and the risk of mortality.

Indexed as

Infant, Extremely PrematureEnglandGestational AgeHumansInfantInfant MortalityInfant, NewbornLength of StayRisk Factorslength of stayneonatalneonatal intensive care

Identifiers

PMID29588296
PMCPMC6580734

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.