Evidence map›Paper›PMID 42346985›Full record

ArticlePaediatric and perinatal epidemiology2026

Neonatal Adverse Outcomes in Métis Children in Alberta, Canada: A Retrospective Cohort Study.

Jesus Serrano-Lomelin, Reagan Bartel, Ashton Anderson, Kelsey Bradburn, Susan Crawford, Jeffrey A Bakal, Amy Colquhoun, Anne Hicks, Matthew Hicks, Manoj Kumar and 4 more

Abstract read
In one paragraph

Article in Paediatric and perinatal epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Jesus Serrano-LomelinDepartment of Public Health Sciences, Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada.
Reagan BartelOtipemisiwak Métis Government of the Métis Nation Within Alberta (MNA), Edmonton, Alberta, Canada.
Ashton AndersonOtipemisiwak Métis Government of the Métis Nation Within Alberta (MNA), Edmonton, Alberta, Canada.
Kelsey BradburnOtipemisiwak Métis Government of the Métis Nation Within Alberta (MNA), Edmonton, Alberta, Canada.
Susan CrawfordAlberta Health Services Provincial Research Data Services, Edmonton, Alberta, Canada.
Jeffrey A BakalAlberta Health Services Provincial Research Data Services, Edmonton, Alberta, Canada.
Amy ColquhounHealth Analytics, Primary and Preventative Health Services, Edmonton, Alberta, Canada.
Anne HicksDepartment of Pediatrics, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Matthew HicksDepartment of Pediatrics, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Manoj KumarDepartment of Pediatrics, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Rhonda J RosychukDepartment of Pediatrics, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Alvaro Osornio-VargasDepartment of Pediatrics, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Radha ChariDepartment of Obstetrics and Gynecology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Maria B OspinaDepartment of Public Health Sciences, Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada.ORCID https://orcid.org/0000-0001-9305-7521

Funding

Alberta Women's Health FoundationCanada Excellence Research Chairs, Government of Canada CRC-2023-00153CIHR 427862Women and Children's Health Research Institute
6 · The paper itself

Abstract

backgroundComposite indicators of neonatal morbidity specific to Métis populations in Canada are lacking.

objectivesTo estimate the incidence of neonatal morbidity and neonatal death among Métis neonates in Alberta, and to identify maternal and neonatal factors associated with neonatal morbidity.

methodsPopulation-based retrospective cohort study including all singleton live births to Métis mothers in Alberta between April 2006 and March 2016. Hospital discharge data were used to evaluate the Neonatal Adverse Outcome Indicator (NAOI), which comprises a set of newborn medical complications and neonatal death. We estimated overall and annual NAOI incidence proportions and overall neonatal mortality. Multilevel regression models were used to estimate adjusted risk ratios (aRRs) with 95% confidence intervals (CIs) for maternal and neonatal characteristics associated with NAOI.

resultsAmong 7853 neonates, the overall NAOI incidence proportion was 10.1% (95% CI 9.5, 10.8), ranging annually from 7.7% (95% CI 6.1, 9.7) to 11.9% (95% CI 8.1, 17.2). The most common conditions were respiratory conditions originating in the perinatal period (4.8%, 95% CI 4.3, 5.3) and birth trauma (3.4%, 95% CI 3.0, 3.8). The overall neonatal mortality rate was 2.9 per 1000 live births (95% CI 1.9, 4.4). Increased risk of NAOI was associated with pre-pregnancy disease (aRR 1.27, 95% CI 1.03, 1.51), pregnancy-related disease (aRR 1.92, 95% CI 1.65, 2.18), assisted vaginal delivery (aRR 2.52, 95% CI 2.09, 2.94), caesarean delivery (aRR 1.23, 95% CI 1.04, 1.41), male sex (aRR 1.27, 95% CI 1.09, 1.42), preterm birth (aRR 4.36, 95% CI 3.71, 5.00) and any congenital malformation (aRR 2.71, 95% CI 1.87, 3.56).

conclusionsThe incidence of neonatal morbidity among Métis neonates in Alberta highlights the importance of continued surveillance using standardised indicators. Incorporating NAOI into perinatal and obstetric care may inform culturally responsive improvements in care.

Indexed as

Indians, North AmericanInfant MortalityInfant, Newborn, DiseasesAdultAlbertaFemaleHumansIncidenceInfantInfant, NewbornMalePregnancyRetrospective StudiesRisk Factorschildren's healthIndigenous populationsMétis childrenneonatal adverse outcome indicatorneonatal healthneonatal morbidity

Identifiers

PMID42346985
PMCPMC13522652

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.