Evidence map›Paper›PMID 32061407›Full record

ArticleThe Journal of pediatrics2020

Geographic Variation in Sudden Unexpected Infant Death in the United States.

Edwin A Mitchell, Xiaohan Yan, Shirley You Ren, Tatiana M Anderson, Jan-Marino Ramirez, Juan M Lavista Ferres, Richard Johnston

Abstract read
In one paragraph

Article in The Journal of pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. THE ROLE OF HEALTH POLICY IN IMPROVING HEALTH OUTCOMES AND HEALTH EQUITY.Transactions of the American Clinical and Climatological Association · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. 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.

Edwin A MitchellDepartment of Paediatrics, Child and Youth Health, University of Auckland, Auckland, New Zealand.
Xiaohan YanAI For Good Research Lab, Microsoft, Redmond, WA.
Shirley You RenAI For Good Research Lab, Microsoft, Redmond, WA.
Tatiana M AndersonCenter for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA.
Jan-Marino RamirezCenter for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA; Department of Neurological Surgery, University of Washington School of Medicine, Seattle, WA; Department of Pediatrics, University of Washington School of Medicine, Seattle, WA.
Juan M Lavista FerresAI For Good Research Lab, Microsoft, Redmond, WA.
Richard JohnstonAI For Good Research Lab, Microsoft, Redmond, WA.

Funding

Integrative Consequences of HypoxiaP01HL090554 · NHLBI · UNIVERSITY OF CHICAGO · PI PRABHAKAR, NANDURI R · 2008 to 2017
$21.4M
Mechanisms Underlying Sympathetic Activation-dependent Endothelial Cell Activation by Chronic Intermittent HypoxiaP01HL144454 · NHLBI · UNIVERSITY OF CHICAGO · PI MUTLU, GOKHAN M. · 2019 to 2023
$12.7M
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
Neuroglial interactions underlying the generation of the sighR01HL151389 · NHLBI · SEATTLE CHILDREN'S HOSPITAL · PI RAMIREZ, JAN M. · 2020 to 2023
$3.2M
NHLBI NIH HHS P01 HL090554NHLBI NIH HHS P01 HL144454NHLBI NIH HHS R01 HL126523NHLBI NIH HHS R01 HL144801NHLBI NIH HHS R01 HL151389
6 · The paper itself

Abstract

objectivesTo assess the geographic variation of sudden unexpected infant death (SUID) and test if variation in geographic factors, such as state, latitude, and longitude, play a role in SUID risk across the US. STUDY

designWe analyzed the Centers for Disease Control and Prevention's Cohort Linked Birth/Infant Death dataset (2005-2010; 22 882 SUID cases, 25 305 837 live births, rate 0.90/1000). SUID was defined as infant deaths (ages 7-364 days) that included sudden infant death syndrome, ill-defined and unknown cause of mortality, and accidental suffocation and strangulation in bed. SUID geographic variation was analyzed using 2 statistical models, logistic regression and generalized additive model (GAM).

resultsBoth models produced similar results. Without adjustment, there was marked geographic variation in SUID rates, but the variation decreased after adjusting for covariates including known risk factors for SUID. After adjustment, nine states demonstrated significantly higher or lower SUID mortality than the national average. Geographic contribution to SUID risk in terms of latitude and longitude were also attenuated after adjustment for covariates.

conclusionUnderstanding why some states have lower SUID rates may enhance SUID prevention strategies.

Indexed as

Centers for Disease Control and Prevention, U.S.Datasets as TopicGeography, MedicalHumansInfantInfant, NewbornModels, StatisticalSudden Infant DeathUnited StatesclimatepovertySIDSsocioeconomic disadvantagesudden infant deathSUID

Identifiers

PMID32061407
PMCPMC7995635

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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.