Evidence map›Paper›PMID 37487988›Full record

ArticleChest2023

Indicators of Neighborhood-Level Socioeconomic Position and Pediatric Critical Illness.

Carlie N Myers, Aruna Chandran, Kevin J Psoter, Jules P Bergmann, Panagis Galiatsatos

Open access · greenAbstract read
In one paragraph

Article in Chest, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Carlie N MyersDivision of Critical Care Medicine, Cincinnati Children's Hospital, Cincinnati, OH; University of Cincinnati School of Medicine, Cincinnati, OH. Electronic address: Carlie.myers@cchmc.org.
Aruna ChandranJohns Hopkins Bloomberg School of Public Health, Johns Hopkins School of Medicine, Baltimore, MD.
Kevin J PsoterDepartment of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD.
Jules P BergmannJohns Hopkins Bloomberg School of Public Health, Johns Hopkins School of Medicine, Baltimore, MD.
Panagis GaliatsatosDepartment of Pulmonary and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD.
Johns Hopkins University · USCincinnati Children's Hospital Medical Center · US

Funding

QAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7M
NCATS NIH HHS UL1 TR003098
6 · The paper itself

Abstract

backgroundWith recent prioritization of equity in pediatric health outcomes, a shift to examine neighborhood-level health care disparities within pediatric populations has occurred, specifically in the context of critical illness. RESEARCH QUESTION: Does an association exist between individual indicators of neighborhood-level disadvantage and incidence of PICU admission? STUDY DESIGN AND

methodsPediatric patients younger than 18 years admitted to a PICU in a large urban tertiary pediatric hospital from January 1, 2016, through December 31, 2019, with a residential address in the city of Baltimore or Baltimore County on the day of admission were included in this ecological study. Demographic and clinical characteristics of children admitted to the PICU were summarized, with the primary outcome being PICU admission. Unadjusted negative binomial regression was used to examine the association between census tract-level PICU admissions and the previously described census tract-level indicators of neighborhood socioeconomic position. Regression models included an offset term for the population younger than 18 years for each census tract; results of models are reported as incidence rate ratios (IRRs) with corresponding 95% CIs.

resultsWe identified 2,476 PICU admissions: 1,351 patients from the city of Baltimore (10.25 per 1,000 children) and 1,125 patients from Baltimore County (6.31 per 1,000 children). Most PICU admissions (n = 906 [68%]) for the city of Baltimore represented an area deprivation index (ADI) of > 60, whereas most Baltimore County PICU admissions (n = 919 [82.3%]) represented an ADI of < 60. At the neighborhood level, the percentage of families living below the poverty line was associated with greater incidence of PICU admission in the city of Baltimore (IRR, 1.09; 95% CI, 1.00-1.18) and Baltimore County (IRR, 1.19; 95% CI, 1.05-1.36). For every $10,000 increase in median household income, PICU admission rates dropped by 9% for the city of Baltimore (IRR, 0.91; 95% CI, 0.86-0.95) and Baltimore County (IRR, 0.91; 95% CI, 0.88-0.94). Neighborhoods with vacant housing units also were associated with a higher incidence of PICU admission in the city of Baltimore (IRR, 1.10; 95% CI, 1.01-1.21) and Baltimore County (IRR, 1.46; 95% CI, 1.21-1.77), as was a 10% increase in occupied homes without vehicles (city of Baltimore: IRR, 1.14; 95% CI, 1.07-1.21; Baltimore County: IRR, 1.23; 95% CI, 1.11-1.37).

interpretationHealth outcomes of pediatric critical illness should be examined in the context of structural determinants of health, including neighborhood-level and environmental characteristics.

Indexed as

Critical IllnessResidence CharacteristicsChildHospitalizationHumansIncomePovertydisparitieshealth outcomesneighborhood-level characteristicspediatric critical care, neighborhood-level disparities

Identifiers

PMID37487988
PMCPMC10925544
OpenAlexW4385155223

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.