Evidence map›Paper›PMID 29370964›Full record

ArticleJournal of critical care2018

The effect of community socioeconomic status on sepsis-attributable mortality.

Panagis Galiatsatos, Emily P Brigham, Juliana Pietri, Kathleen Littleton, Seungyoung Hwang, Michael C Grant, Nadia N Hansel, Edward S Chen

Abstract read
In one paragraph

Article in Journal of critical care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Panagis GaliatsatosCritical Care Medicine Department, National Institutes of Health, Bethesda, MD, United States; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Medicine for the Greater Good, Department of Medicine, Johns Hopkins Bayview Medical Center, United States. Electronic address: panagis@jhmi.edu.
Emily P BrighamDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Juliana PietriMedicine for the Greater Good, Department of Medicine, Johns Hopkins Bayview Medical Center, United States.
Kathleen LittletonJohns Hopkins University School of Nursing, Baltimore, MD, United States.
Seungyoung HwangDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Michael C GrantDepartment of Anesthesiology and Critical Care, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Nadia N HanselDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Edward S ChenDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Funding

Institute for Clinical and Translational ResearchKL2TR001077 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$9.2M
The Environmental Assessments Core (FSC)P50MD010431 · NIMHD · JOHNS HOPKINS UNIVERSITY · PI MATSUI, ELIZABETH C. · 2015 to 2019
$3.5M
Intramural NIH HHS Z99 CL999999NCATS NIH HHS KL2 TR001077NIMHD NIH HHS P50 MD010431
6 · The paper itself

Abstract

purposeCommunity factors may play a role in determining individual risk for sepsis, as well as sepsis-related morbidity and mortality. We sought to define the relationship between community socioeconomic status and mortality due to sepsis in an urban locale.

methodsUsing community statistical areas of Baltimore City, we dichotomized neighborhoods at median household income, and compared distribution of outcomes of interest within the two income categories. We performed multivariable regression analyses to determine the relationship between socioeconomic variables and sepsis-attributable mortality.

resultsThe collective median household income was $38,660 (IQR $32,530, 54,480), family poverty rate was 28.4% (IQR 13.5, 38.8%), and rate of death from sepsis was 3.1 per 10,000 persons (IQR 2.60, 4.10). Lower household income communities demonstrated higher rates of death from sepsis (3.65 (IQR 2.78, 4.40)) than higher household income communities (2.80 (IQR 2.05, 3.55)) (p = .02). In regression models, household income (β = -8.42, p = .006) and percentage of poverty in communities (β = 2.71, p = .01) demonstrated associations with sepsis-attributable mortality. DISCUSSION: Our findings suggest that socioeconomic variables play significant role in sepsis-attributable mortality. Such confirmation of regional disparities in mortality due to sepsis warrants further consideration, as well as integration, for future national sepsis policies.

Indexed as

Social ClassAgedBaltimoreBlack or African AmericanCitiesFemaleHealthcare DisparitiesHumansIncomeMaleMiddle AgedMortalityMultivariate AnalysisPovertyRegression AnalysisResidence CharacteristicsCommunityHealth disparitiesPovertySepsis

Identifiers

PMID29370964
PMCPMC6014883

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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.