Evidence map›Paper›PMID 35483444›Full record

ArticleGastroenterology2022

Factors Associated With Geographic Disparities in Gastrointestinal Cancer Mortality in the United States.

Christopher Ma, Stephen E Congly, Darius E Chyou, Katherine Ross-Driscoll, Nauzer Forbes, Erica S Tsang, Daniel A Sussman, David S Goldberg

Abstract read
In one paragraph

Article in Gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

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  17. Common Risk Factors in Gastrointestinal Cancers: A Narrative Review.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Christopher MaDivision of Gastroenterology & Hepatology, Department of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada. Electronic address: christopher.ma@ucalgary.ca.
Stephen E ConglyDivision of Gastroenterology & Hepatology, Department of Medicine, University of Calgary, Calgary, Alberta, Canada.
Darius E ChyouMiller School of Medicine, University of Miami, Miami, Florida.
Katherine Ross-DriscollDepartment of Surgery, Emory University School of Medicine, Atlanta, Georgia.
Nauzer ForbesDivision of Gastroenterology & Hepatology, Department of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Erica S TsangDepartment of Medicine, Division of Hematology & Oncology, University of California, San Francisco, California; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California.
Daniel A SussmanDivision of Digestive Health and Liver Diseases, Department of Medicine, University of Miami Miller School of Medicine, Miami, Florida.
David S GoldbergDivision of Digestive Health and Liver Diseases, Department of Medicine, University of Miami Miller School of Medicine, Miami, Florida.

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Institutional Career Development CoreKL2TR002381 · NCATS · EMORY UNIVERSITY · PI HENRY M BLUMBERG, Anandi Nayan Sheth · 2017 to 2026
$14.1M
Neuro HPA Project 1U54AG062334 · NIA · EMORY UNIVERSITY · PI Ighovwerha Ofotokun · 2018 to 2026
$12.2M
NCATS NIH HHS KL2 TR002381NCATS NIH HHS UL1 TR002378NIA NIH HHS U54 AG062334
6 · The paper itself

Abstract

BACKGROUND &

aimsSignificant geographic variability in gastrointestinal (GI) cancer-related death has been reported in the United States. We aimed to evaluate both modifiable and nonmodifiable factors associated with intercounty differences in mortality due to GI cancer.

methodsData from the Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research platform were used to calculate county-level mortality from esophageal, gastric, pancreatic, and colorectal cancers. Multivariable linear regression models were fit to adjust for county-level covariables, considering both patient (eg, sex, race, obesity, diabetes, alcohol, and smoking) and structural factors (eg, specialist density, poverty, insurance prevalence, and colon cancer screening prevalence). Intercounty variability in GI cancer-related mortality explained by these covariables was expressed as the multivariable model R

resultsThere were significant geographic disparities in GI cancer-related county-level mortality across the US from 2010-2019 with the ratio of mortality between 90th and 10th percentile counties ranging from 1.5 (pancreatic) to 2.1 (gastric cancer). Counties with the highest 5% mortality rates for gastric, pancreatic, and colorectal cancer were primarily in the Southeastern United States. Multivariable models explained 43%, 61%, 14%, and 39% of the intercounty variability in mortality rates for esophageal, gastric, pancreatic, and colorectal cancer, respectively. Cigarette smoking and rural residence (independent of specialist density) were most strongly associated with GI cancer-related mortality.

conclusionsBoth patient and structural factors contribute to significant geographic differences in mortality from GI cancers. Our findings support continued public health efforts to reduce smoking use and improve care for rural patients, which may contribute to a reduction in disparities in GI cancer-related death.

Indexed as

Colonic NeoplasmsGastrointestinal NeoplasmsEarly Detection of CancerHumansLinear ModelsRural PopulationUnited StatesCancerColonColorectalCountyDeath

Identifiers

PMID35483444
PMCPMC9703359

What OpenQuestion holds

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Registered trials

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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.