Evidence map›Paper›PMID 31818863›Full record

ArticlePediatrics2020

Distinct Populations of Sudden Unexpected Infant Death Based on Age.

Juan M Lavista Ferres, Tatiana M Anderson, Richard Johnston, Jan-Marino Ramirez, Edwin A Mitchell

Open access · greenAbstract read
In one paragraph

Article in Pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 55 citations in OpenAlex.

  1. Review
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  3. The effect of fertility treatment and socioeconomic status on neonatal and post-neonatal mortality in the United States.Journal of perinatology : official journal of the California Perinatal Association · 2024
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  7. Maternal, infant, and environmental risk factors for sudden unexpected infant deaths: results from a large, administrative cohort.The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Juan M Lavista FerresMicrosoft Corporation, Redmond, Washington.
Tatiana M AndersonCenter for Integrative Brain Research, Seattle Children's Research Institute, Seattle, Washington; tatianaa@uw.edu.
Richard JohnstonMicrosoft Corporation, Redmond, Washington.
Jan-Marino RamirezCenter for Integrative Brain Research, Seattle Children's Research Institute, Seattle, Washington.
Edwin A MitchellDepartment of Paediatrics: Child and Youth Health, University of Auckland, Auckland, New Zealand.
Microsoft (United States) · USNeurological Surgery · USUniversity of Auckland · NZ

Funding

Unraveling respiratory rhythm generation in the medullary networkR01HL126523 · NHLBI · SEATTLE CHILDREN'S HOSPITAL · PI Jan M. Ramirez · 2015 to 2026
$8.3M
Unraveling the dynamic mechanisms underlying opioid respiratory depressionR01HL144801 · NHLBI · SEATTLE CHILDREN'S HOSPITAL · PI Jan M. Ramirez · 2019 to 2026
$5.2M
NHLBI NIH HHS R01 HL126523NHLBI NIH HHS R01 HL144801
6 · The paper itself

Abstract

objectivesIn most recent studies, authors combine all cases of sudden infant death syndrome, other deaths from ill-defined or unknown causes, and accidental suffocation and strangulation in bed as a single population to analyze sudden unexpected infant death (SUID). Our aim with this study is to determine if there are statistically different subcategories of SUID that are based on the age of death of an infant.

methodsIn this retrospective, cross-sectional analysis, we analyzed the Centers for Disease Control and Prevention Birth Cohort Linked Birth/Infant Death Data Set (2003-2013: 41 125 233 births and 37 624 SUIDs). Logistic regression models were developed to identify subpopulations of SUID cases by age of death, and we subsequently analyzed the effects of a set of covariates on each group.

resultsTwo groups were identified: sudden unexpected early neonatal deaths (SUENDs; days 0-6) and postperinatal SUIDs (days 7-364). These groups significantly differed in the distributions of assigned

conclusionsSUEND should be considered as a discrete entity from postperinatal SUID in future studies. These data could help improve the epidemiological understanding of SUEND and SUID and provide clues to a mechanistic understanding underlying the causes of death.

Indexed as

Sudden Infant DeathAge FactorsAsphyxiaBedsCause of DeathCross-Sectional StudiesFemaleHumansInfantInfant MortalityInfant, NewbornLogistic ModelsPregnancyPrenatal Exposure Delayed EffectsRetrospective StudiesRisk Factors

Identifiers

PMID31818863
PMCPMC6939839
OpenAlexW2993921035

What OpenQuestion holds

Textmetadata
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.