Evidence map›Paper›PMID 39280915›Full record

ArticleGastro hep advances2024

Association Between Social Vulnerability and Gastrointestinal Cancer Mortality in the United States Counties.

Chun-Han Lo, Kyaw Min Tun, Chun-Wei Pan, Jeffrey K Lee, Harminder Singh, N Jewel Samadder

Abstract read
In one paragraph

Article in Gastro hep advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

6 authors.

Chun-Han LoDepartment of Internal Medicine, Kirk Kerkorian School of Medicine at UNLV, Las Vegas, Nevada.
Kyaw Min TunDepartment of Internal Medicine, Kirk Kerkorian School of Medicine at UNLV, Las Vegas, Nevada.
Chun-Wei PanCook County Health, John H. Stroger Hospital, Chicago, Illinois.
Jeffrey K LeeDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Harminder SinghCancerCare Manitoba Research Institute, Winnipeg, Manitoba, Canada.
N Jewel SamadderDivision of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Phoenix, Arizona.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Social determinants of health contribute to disparities in gastrointestinal (GI) cancer mortality between individuals in the US. Their effects on count-level mortality rates remain uncertain. We aimed to assess the association between county social vulnerability and GI cancer mortality. Methods: In this ecological study (2016-2020), we obtained US county Social Vulnerability Index (SVI) from the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry and age-adjusted mortality rates (AAMRs) for GI cancers from Centers for Disease Control and Prevention WONDER (Wide-Ranging Online Data for Epidemiological Research). SVI ranges from 0 to 1, with higher indices indicating greater vulnerability. We presented AAMRs by quintiles of SVIs. We used Poisson regression through generalized estimating equation to calculate rate ratios (RRs) and 95% confidence intervals (CIs) for GI cancer mortality by quintiles of SVI. Results: There were 799,968 deaths related to GI cancers from 2016 to 2020, resulting in an AAMR (95% CI) of 39.9 (41.4-51.2) deaths per 100,000 population. The largest concentration of counties with greater SVI and GI cancer mortality was clustered in the southern US. Counties with greater SVI had higher mortality related to all GI cancers (RR Conclusion: Socially disadvantaged counties face a disproportionately high burden of GI cancer mortality in the US. Targeted public health interventions should aim to address social inequities faced by underserved communities.

Indexed as

DisparityEpidemiologyPublic HealthSocial InequitiesSocioeconomic Status

Identifiers

PMID39280915
PMCPMC11401585

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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.