Evidence map›Paper›PMID 33220253›Full record

ArticleGastroenterology2021

County Differences in Liver Mortality in the United States: Impact of Sociodemographics, Disease Risk Factors, and Access to Care.

David Goldberg, Katherine Ross-Driscoll, Raymond Lynch

Abstract read
In one paragraph

Article in Gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 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

3 authors.

David GoldbergDivision of Digestive Health and Liver Diseases, Department of Medicine, University of Miami Miller School of Medicine, Miami, Florida. Electronic address: dsgoldberg@med.miami.edu.
Katherine Ross-DriscollDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia; Division of Transplantation, Department of Surgery, Emory University School of Medicine, Atlanta, Georgia.
Raymond LynchDivision of Transplantation, Department of Surgery, Emory University School of Medicine, Atlanta, Georgia.

Funding

Using ethics, epidemiology and high-quality data to optimize the allocation of livers for transplantationR01DK120561 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI GOLDBERG, DAVID SETH · 2019 to 2023
$2.7M
NIDDK NIH HHS R01 DK120561
6 · The paper itself

Abstract

BACKGROUND AND

aimsData have demonstrated state-wide variability in mortality rates from liver disease (cirrhosis + hepatocellular carcinoma), but data are lacking at the local level (eg, county) to identify factors associated with variability in liver disease-related mortality and hotspots of liver disease mortality.

methodsWe used Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research data from 2009 to 2018 to calculate county-level, age-adjusted liver disease-related death rates. We fit multivariable linear regression models to adjust for county-level covariates related to demographics (ie, race and ethnicity), medical comorbidities (eg, obesity), access to care (eg, uninsured rate), and geographic (eg, distance to closest liver transplant center) variables. We used optimized hotspot analysis to identify clusters of liver disease mortality hotspots based on the final multivariable models.

resultsIn multivariable models, 61% of the variability in among-county mortality was explained by county-level race/ethnicity, poverty, uninsured rates, distance to the closest transplant center, and local rates of obesity, diabetes, and alcohol use. Despite adjustment, significant within-state variability in county-level mortality rates was found. Of counties in the top fifth percentile (ie, highest mortality) of fully adjusted mortality, 60% were located in 3 states: Oklahoma, Texas, and New Mexico. Adjusted mortality rates were highly spatially correlated, representing 5 clusters: South Florida; Appalachia and the eastern part of the Midwest; Texas and Oklahoma; New Mexico, Arizona, California, and southern Oregon; and parts of Washington and Montana.

conclusionsOur data demonstrate significant intrastate differences in liver disease-related mortality, with more than 60% of the variability explained by patient demographics, clinical risk factors for liver disease, and access to specialty liver care.

Indexed as

Socioeconomic FactorsAdultAgedCarcinoma, HepatocellularCause of DeathFemaleGeographyHealth Services AccessibilityHumansLiver CirrhosisLiver NeoplasmsMaleMiddle AgedRisk FactorsSpatio-Temporal AnalysisUnited StatesChronic Liver DiseaseCirrhosisHepatocellular CarcinomaLiver Mortality

Identifiers

PMID33220253
PMCPMC8650724

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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.