Evidence map›Paper›PMID 30607577›Full record

ArticleJournal of racial and ethnic health disparities2019

Disparities in Sepsis Mortality by Region, Urbanization, and Race in the USA: a Multiple Cause of Death Analysis.

Funmilola Ogundipe, Vijay Kodadhala, Temitayo Ogundipe, Alem Mehari, Richard Gillum

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In one paragraph

Article in Journal of racial and ethnic health disparities, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
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  10. Urban Scaling of Health Outcomes: a Scoping Review.Journal of urban health : bulletin of the New York Academy of Medicine · 2022
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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

5 authors.

Funmilola OgundipeHoward University Hospital, Washington, DC, USA. ogundipef@gmail.com.ORCID http://orcid.org/0000-0001-6429-2469
Vijay KodadhalaHoward University Hospital, Washington, DC, USA.
Temitayo OgundipeHoward University Hospital, Washington, DC, USA.
Alem MehariHoward University Hospital, Washington, DC, USA.
Richard GillumHoward University College of Medicine, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess gender, race/ethnicity, and geographic disparities in sepsis-associated mortality. MATERIALS AND

methodsThe US data for multiple causes of death (MCOD) for years 2013-2016 were used to determine numbers of deaths and age-adjusted rates for sepsis as underlying or contributing cause of death using the International Classification of Diseases-10 (ICD-10) codes for non-Hispanic blacks (NHB) and whites (NHW) aged 15 years and older.

resultsThere were a total of 746,725 sepsis-associated deaths. Among females, age-adjusted death rate for NHB was 88.6 (95% CI 87.8-89.3) and for NHW, 55.4 (95% CI 55.1-55.6). Among males, age-adjusted death rate for NHB was 115.2 (95% CI 114.1-116.3) and for NHW, 69.5 (95% CI 69.2-69.8). Rates were generally higher in divisions of the south region (West South Central in NHB). Within the South, NHW and NHB who resided in non-metropolitan areas had the highest rates, while the lowest were in suburban metropolitan areas.

conclusionsSepsis-related MCOD mortality rates were highest in males, in NHB, in the South region, and, within the South, non-metropolitan areas.

Indexed as

Health Status DisparitiesUrbanizationAdolescentAdultAgedAged, 80 and overCause of DeathFemaleHumansMaleMiddle AgedRacial GroupsSepsisUnited StatesYoung AdultEthnic groupsRaceSepsisSepticemiaSystemic inflammatory response syndrome

Identifiers

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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.