Evidence map›Paper›PMID 40834489›Full record

ArticleSurgery2025

Association of injury-related mortality with unique domains of social determinants of health across the urban-rural continuum.

Tamara Byrd, Nicholas Kass, Liling Lu, David Silver, Sebastian Boland, Joshua B Brown

Abstract read
In one paragraph

Article in Surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Tamara ByrdDivision of Trauma and General Surgery, Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA.
Nicholas KassDivision of Trauma and General Surgery, Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA.
Liling LuDivision of Trauma and General Surgery, Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA.
David SilverDivision of Trauma and General Surgery, Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA.
Sebastian BolandDivision of Trauma and General Surgery, Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA.
Joshua B BrownDivision of Trauma and General Surgery, Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA. Electronic address: brownjb@upmc.edu.

Funding

TRAINING IN TRAUMA AND SEPSIS RESEARCHT32GM008516 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TIMOTHY R BILLIAR · 1994 to 2026
$9.4M
NIGMS NIH HHS T32 GM008516
6 · The paper itself

Abstract

backgroundSocial determinants of health impact outcomes after traumatic injury. Little is known regarding if and how this impact of social determinants of health in trauma varies across different geographic settings. Our objective was to evaluate whether social determinants of health associated with injury-related mortality vary based on geographic region.

methodsWe conducted a retrospective cohort study using the Pennsylvania Trauma Study Outcomes database merged with data from the Association for Healthcare, Research, and Quality social determinants of health database. Bootstrapped elastic net regression determined the association between risk-adjusted mortality and social determinants of health factors in urban, suburban, and rural areas.

resultsA total of 374,136 patients were included in the study (285,062 urban, 71,847 suburban, and 17,227 rural). Economic context and physical infrastructure were the most important domains for urban populations, whereas social context was the most important domain for suburban and rural populations. In urban populations, the increasing proportion of White race was most strongly associated with lower morality risk (coefficient: -0.045; 95% confidence interval: -0.044, -0.046), whereas income/poverty, transportation, and health insurance were the most common features associated with mortality. In suburban and rural communities, US born citizens were most strongly associated with lower mortality risk (coefficient: -0.024; 95% confidence interval: -0.023, -0.025), while demographics and housing were most commonly associated with mortality.

conclusionThe social determinants of health associated with mortality after injury vary across geographic settings. This may inform risk stratification and more effectively target policy and community interventions by geography to reduce the burden of injury.

Indexed as

Rural PopulationSocial Determinants of HealthUrban PopulationWounds and InjuriesAdolescentAdultAgedFemaleHumansMaleMiddle AgedPennsylvaniaRetrospective StudiesSocioeconomic FactorsYoung Adult

Identifiers

PMID40834489
PMCPMC13227100

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.