Evidence map›Paper›PMID 30811443›Full record

ArticlePloS one2019

Individual and community characteristics associated with premature natural and drug-related deaths in 25-59 year old decedents.

Stacy A Drake, Yijiong Yang, Dwayne A Wolf, Thomas Reynolds, Sherhonda Harper, Antoinette Hudson, Janet C Meininger

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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 at 4 institutions in 1 country.

Stacy A DrakeDepartment of Research, The University of Texas Health Science Center at Houston, Cizik School of Nursing, Houston, Texas, United States of America.ORCID 0000-0003-0249-7156
Yijiong YangDepartment of Research, The University of Texas Health Science Center at Houston, Cizik School of Nursing, Houston, Texas, United States of America.ORCID 0000-0002-6644-4179
Dwayne A WolfPathology Department, Harris County Institute of Forensic Sciences, Houston, Texas, United States of America.
Thomas ReynoldsDepartment of Management, Policy and Community Health, The University of Texas Health Science Center at Houston, School of Public Health, Houston, Texas, United States of America.
Sherhonda HarperRecovery Department, Americares, Stamford, Connecticut, United States of America.
Antoinette HudsonAdministration, CHI Baylor St. Luke's Medical Center Houston, Texas, United States of America.
Janet C MeiningerSystems Department, The University of Texas Health Science Center at Houston, Cizik School of Nursing, Houston, Texas, United States of America.
The University of Texas Health Science Center at Houston · USAmeriCares · USInstitute of Forensic Sciences · USSt. Luke's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of the study was to identify circumstances of death, disease states, and sociodemographic characteristics associated with premature natural and drug-related deaths among 25-59 year olds. The study also aimed to address the paucity of research on personal, community-based, and societal factors contributing to premature death. A population-based retrospective chart review of medical examiner deaths within a highly populated and ethnically diverse county [in Texas] was undertaken to identify individuals dying prematurely and circumstances surrounding cause of death [in 2013]. The sample data (n = 1282) allowed for analysis of decedent demographic variables as well as community characteristics. Descriptive statistics, multivariable logistic regression, and geospatial analyses were used to test for associations between the type of death (natural or drug-related) and demographics, circumstances of death, disease types and community characteristics. Census tract data were used to determine community characteristics. Highly clustered premature deaths were concentrated in areas with low income and under-educated population characteristics. Two-thirds of decedents whose death were due to disease had not seen a healthcare provider 30 days before death despite recent illness manifestations. Opioids were found in 187 (50.5%) of the drug-related deaths, with 92.5% of deaths by opioids occurring in combination with other substances. The study findings went beyond the cause of death to identify circumstances surrounding death, which present a more comprehensive picture of the decedent disease states and external circumstances. In turn, these findings may influence the initiation of interventions for medically underserved and impoverished communities.

Indexed as

Cause of DeathAdultCoroners and Medical ExaminersFemaleHumansLogistic ModelsMaleMiddle AgedRetrospective StudiesSocioeconomic FactorsSubstance-Related Disorders

Identifiers

PMID30811443
PMCPMC6392257
OpenAlexW2917555015

What OpenQuestion holds

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LicenceCC BY
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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.