Evidence map›Paper›PMID 37977216›Full record

ArticleJournal of cancer policy2023

Social vulnerability and lung malignancy mortality.

Ramzi Ibrahim, Lewjain Sakr, Jennifer A Lewis, Roger Y Kim, Bryan S Benn, See-Wei Low

Abstract read
In one paragraph

Article in Journal of cancer policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Social Vulnerability and Disparities in All-Cause Mortality in the United States.Journal of racial and ethnic health disparities · 2025
    Article
  6. Article
  7. Observational
  8. 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

6 authors.

Ramzi IbrahimDepartment of Medicine, University of Arizona - Banner University Medical Center, Tucson, AZ, USA.
Lewjain SakrDepartment of Medicine, Cleveland Clinic Florida, Weston, FL, USA.
Jennifer A LewisVeterans Health Administration-Tennessee Valley Healthcare System, Geriatric Research, Education and Clinical Center (GRECC) and Medicine Service, Nashville, TN, USA; Division of Hematology/Oncology, Department of Medicine, Vanderbilt University Medical Center, 2525 West End Ave, Suite 1200, Nashville, TN 37203, USA; Vanderbilt-Ingram Cancer Center, Nashville, TN, USA; Center for Clinical Quality and Implementation Research, Vanderbilt University Medical Center, Nashville, TN, USA.
Roger Y KimDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care, University of Pennsylvania, Philadelphia, PA, USA.
Bryan S BennDivision of Pulmonary Medicine, Respiratory Institute, Cleveland Clinic, Cleveland, OH, USA.
See-Wei LowDivision of Pulmonary Medicine, Respiratory Institute, Cleveland Clinic, Cleveland, OH, USA. Electronic address: lows5@ccf.org.

Funding

Vanderbilt Scholars in T4 Translational Research (V-STTaR) ProgramK12HL137943 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KRIPALANI, SUNIL, ROUMIE, CHRISTIANNE L. · 2017 to 2021
$2.9M
Assessment of a Radiomics-Based Computer-Aided Diagnosis Tool for Cancer Risk Stratification of Pulmonary NodulesK08CA279881 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Roger Yeon-Kyu Kim · 2023 to 2026
$998k
NCI NIH HHS K08 CA279881NHLBI NIH HHS K12 HL137943
6 · The paper itself

Abstract

introductionLung cancer is a major cause of death in the United States. Social determinants of health (SDOH) are important factors that impact the treatment and prognosis of lung cancer. The social vulnerability index (SVI) is a validated measure of SDOH. This cross-sectional study aimed to investigate the impact of the SVI on lung cancer mortality using descriptive epidemiology.

methodsMortality data for lung malignancies from 2014 to 2018 was obtained from the CDC database and was age-adjusted and standardized to the population in the year 2000. The SVI for the same years was obtained from the CDC Agency for Toxic Substances and Disease Registry database. Age-adjusted mortality rates (AAMR) were estimated for each SVI quartile (SVI-Q) and demographic subgroup.

resultsWe found that counties in SVI-Q4 (most vulnerable) had a higher cumulative AAMR compared to counties in SVI-Q1 (least vulnerable), accounting for a 4.48 excess death rate per 100,000 person-years. AAMR among males in SVI-Q4 was higher compared to SVI-Q1, accounting for a 9.96 excess death rate per 100,000 person-years, whereas no mortality differences were observed for female populations between SVI-Q4 and SVI-Q1. AAMR in SVI-Q4 was higher for both Hispanic and non-Hispanic populations, except for American Indian/Alaska Native populations. Similar trends were observed in both metropolitan and non-metropolitan counties.

conclusionOur study suggests that the SVI may play a significant role in lung cancer mortality and highlights the need for interventions targeting vulnerable populations to improve outcomes.

Indexed as

Lung NeoplasmsCross-Sectional StudiesFemaleHumansMaleSocial VulnerabilityVulnerable PopulationsDisparitiesEpidemiologicalLung cancerMortalitySocial vulnerability index

Identifiers

PMID37977216
PMCPMC10731466

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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.