Evidence map›Paper›PMID 29269842›Full record

ArticleScientific reports2017

Using newborn screening analytes to identify cases of neonatal sepsis.

Deshayne B Fell, Steven Hawken, Coralie A Wong, Lindsay A Wilson, Malia S Q Murphy, Pranesh Chakraborty, Thierry Lacaze-Masmonteil, Beth K Potter, Kumanan Wilson

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

  1. Observational
  2. Article
  3. Review
  4. Article
  5. Metabolomics in neonatal sepsis: A critical appraisal of current evidence.Computational and structural biotechnology journal · 2025
    Review
  6. Article
  7. Observational
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Using Self Organizing Maps to Compare Sepsis Patients from the Neonatal and Adult Intensive Care Unit.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019
    Article
  17. 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

9 authors.

Deshayne B FellSchool of Epidemiology and Public Health, University of Ottawa, Ottawa Ontario, Canada.
Steven HawkenSchool of Epidemiology and Public Health, University of Ottawa, Ottawa Ontario, Canada.
Coralie A WongInstitute for Clinical Evaluative Sciences (ICES), University of Ottawa, Ottawa Ontario, Canada.
Lindsay A WilsonClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa Ontario, Canada.
Malia S Q MurphyClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa Ontario, Canada.
Pranesh ChakrabortyDepartment of Pediatrics, University of Ottawa, Ottawa Ontario, Canada.
Thierry Lacaze-MasmonteilDepartment of Pediatrics, University of Calgary, Calgary Alberta, Canada.
Beth K PotterSchool of Epidemiology and Public Health, University of Ottawa, Ottawa Ontario, Canada.
Kumanan WilsonInstitute for Clinical Evaluative Sciences (ICES), University of Ottawa, Ottawa Ontario, Canada. kwilson@ohri.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neonatal sepsis is associated with high mortality and morbidity, yet challenges with available diagnostic approaches can lead to delays in therapy. Our study assessed whether newborn screening analytes could be utilized to identify associations with neonatal sepsis. We linked a newborn screening registry with health databases to identify cases of sepsis among infants born in Ontario from 2010-2015. Correlations between sepsis and screening analytes were examined within three gestational age groups (early preterm: <34 weeks; late preterm: 34-36 weeks; term: ≥37 weeks), using multivariable logistic regression models. We started with a model containing only clinical factors, then added groups of screening analytes. Among 793,128 infants, 4,794 were diagnosed with sepsis during the neonatal period. Clinical variables alone or in combination with hemoglobin values were not strongly predictive of neonatal sepsis among infants born at term or late preterm. However, model fit improved considerably after adding markers of thyroid and adrenal function, acyl-carnitines, and amino acids. Among infants born at early preterm gestation, neither clinical variables alone nor models incorporating screening analytes adequately predicted neonatal sepsis. The combination of clinical variables and newborn screening analytes may have utility in identifying term or late preterm infants at risk for neonatal sepsis.

Indexed as

Neonatal ScreeningFemaleHumansInfant, NewbornInfant, PrematureMaleModels, TheoreticalNeonatal SepsisRegistries

Identifiers

PMID29269842
PMCPMC5740154

What OpenQuestion holds

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Registered trials

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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.