Evidence map›Paper›PMID 35397189›Full record

ArticleActa paediatrica (Oslo, Norway : 1992)2022

Perinatal risk factors for mortality in very preterm infants-A nationwide, population-based discriminant analysis.

Mikael Norman, David Nilsson, Johan Trygg, Stellan Håkansson

Open access · hybridAbstract read
In one paragraph

Article in Acta paediatrica (Oslo, Norway : 1992), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

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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.

Mikael NormanDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-4191-3781
David NilssonDepartment of Chemistry, Umeå University, Umeå, Sweden.
Johan TryggDepartment of Chemistry, Umeå University, Umeå, Sweden.
Stellan HåkanssonDepartment of Clinical Sciences, Pediatrics, Umeå University, Umeå, Sweden.
Umeå University · SEKarolinska University Hospital · SE

Funding

Karolinska Institutet and Region Stockholm ALF 2020-0443The Childhood Foundation of the Swedish Order of Freemasons
6 · The paper itself

Abstract

aimTo assess the strength of associations between interrelated perinatal risk factors and mortality in very preterm infants.

methodsInformation on all live-born infants delivered in Sweden at 22-31 weeks of gestational age (GA) from 2011 to 2019 was gathered from the Swedish Neonatal Quality Register, excluding infants with major malformations or not resuscitated because of anticipated poor prognosis. Twenty-seven perinatal risk factors available at birth were exposures and in-hospital mortality outcome. Orthogonal partial least squares discriminant analysis was applied to assess proximity between individual risk factors and mortality, and receiver operating characteristic (ROC) curves were used to estimate discriminant ability.

resultsIn total, 638 of 8,396 (7.6%) infants died. Thirteen risk factors discriminated reduced mortality; the most important were higher Apgar scores at 5 and 10 min, GA and birthweight. Restricting the analysis to preterm infants <28 weeks' GA (n = 2939, 16.9% mortality) added antenatal corticosteroid therapy as significantly associated with lower mortality. The area under the ROC curve (the C-statistic) using all risk factors was 0.86, as determined after both internal and external validation.

conclusionApgar scores, gestational age and birthweight show stronger associations with mortality in very preterm infants than several other perinatal risk factors available at birth.

Indexed as

Infant, PrematureInfant, Premature, DiseasesBirth WeightDiscriminant AnalysisFemaleFetal Growth RetardationGestational AgeHumansInfantInfant MortalityInfant, NewbornPerinatal MortalityPregnancyRisk Factorsinfant mortalityorthogonal partial least squares discriminant analysispreterm infant

Identifiers

PMID35397189
PMCPMC9546293
OpenAlexW4223448677

What OpenQuestion holds

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LicenceCC BY-NC
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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.