Evidence map›Paper›PMID 28118455›Full record

ArticleJAMA2017

Trends and Patterns of Disparities in Cancer Mortality Among US Counties, 1980-2014.

Ali H Mokdad, Laura Dwyer-Lindgren, Christina Fitzmaurice, Rebecca W Stubbs, Amelia Bertozzi-Villa, Chloe Morozoff, Raghid Charara, Christine Allen, Mohsen Naghavi, Christopher J L Murray

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in JAMA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04297826 (Expanding Our Cancer Prevention and Control Infrastructure to Reduce Cancer and Other Chronic Disease Health Disparities in the Deep South), which is not on this map. Cited by 233 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
233citing papers in PubMed, 5 pooled it
26.6field-weighted citation impact, top 1% of its field
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.

NCT04297826 nacompletednot on this mapstarted 2021, after this paper: background citation

Expanding Our Cancer Prevention and Control Infrastructure to Reduce Cancer and Other Chronic Disease Health Disparities in the Deep South

TypeinterventionalSponsorUniversity of Alabama at BirminghamRan2021 to 2022Enrolled137ConditionsChronic DiseaseArmsHarvest for Health
3 · Its place in the literature

Who cites it

233 citing papers in PubMed, 5 syntheses or guidelines pooled it, 392 citations in OpenAlex.

  1. Pooled it
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  5. Assessing the Effectiveness of Cancer Screening Interventions Targeting Appalachian Populations: A Systematic Review.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2021
    Pooled it
  6. Trial
  7. Article
  8. Article
  9. Spatiotemporal Modeling Approach to Mapping Geographic and Temporal Variation in Cancer Incidence Rates for US Counties.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  10. Article
  11. Article
  12. The impact of social determinants on care for veterans with cancer: a qualitative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
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  19. Review
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173 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Ali H MokdadInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Laura Dwyer-LindgrenInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Christina FitzmauriceInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Rebecca W StubbsInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Amelia Bertozzi-VillaInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Chloe MorozoffInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Raghid ChararaInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Christine AllenInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Mohsen NaghaviInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Christopher J L MurrayInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
University of Washington · USInstitute for Health Metrics and Evaluation · US

Funding

University of Washington Center for Demography and Economics of Aging-OverallP30AG047845 · NIA · UNIVERSITY OF WASHINGTON · PI MURRAY, CHRISTOPHER J.L. · 2014 to 2019
$3.8M
NIA NIH HHS P30 AG047845
6 · The paper itself

Abstract

Introduction: Cancer is a leading cause of morbidity and mortality in the United States and results in a high economic burden. Objective: To estimate age-standardized mortality rates by US county from 29 cancers. Design and Setting: Deidentified death records from the National Center for Health Statistics (NCHS) and population counts from the Census Bureau, the NCHS, and the Human Mortality Database from 1980 to 2014 were used. Validated small area estimation models were used to estimate county-level mortality rates from 29 cancers: lip and oral cavity; nasopharynx; other pharynx; esophageal; stomach; colon and rectum; liver; gallbladder and biliary; pancreatic; larynx; tracheal, bronchus, and lung; malignant skin melanoma; nonmelanoma skin cancer; breast; cervical; uterine; ovarian; prostate; testicular; kidney; bladder; brain and nervous system; thyroid; mesothelioma; Hodgkin lymphoma; non-Hodgkin lymphoma; multiple myeloma; leukemia; and all other cancers combined. Exposure: County of residence. Main Outcomes and Measures: Age-standardized cancer mortality rates by county, year, sex, and cancer type. Results: A total of 19 511 910 cancer deaths were recorded in the United States between 1980 and 2014, including 5 656 423 due to tracheal, bronchus, and lung cancer; 2 484 476 due to colon and rectum cancer; 1 573 593 due to breast cancer; 1 077 030 due to prostate cancer; 1 157 878 due to pancreatic cancer; 209 314 due to uterine cancer; 421 628 due to kidney cancer; 487 518 due to liver cancer; 13 927 due to testicular cancer; and 829 396 due to non-Hodgkin lymphoma. Cancer mortality decreased by 20.1% (95% uncertainty interval [UI], 18.2%-21.4%) between 1980 and 2014, from 240.2 (95% UI, 235.8-244.1) to 192.0 (95% UI, 188.6-197.7) deaths per 100 000 population. There were large differences in the mortality rate among counties throughout the period: in 1980, cancer mortality ranged from 130.6 (95% UI, 114.7-146.0) per 100 000 population in Summit County, Colorado, to 386.9 (95% UI, 330.5-450.7) in North Slope Borough, Alaska, and in 2014 from 70.7 (95% UI, 63.2-79.0) in Summit County, Colorado, to 503.1 (95% UI, 464.9-545.4) in Union County, Florida. For many cancers, there were distinct clusters of counties with especially high mortality. The location of these clusters varied by type of cancer and were spread in different regions of the United States. Clusters of breast cancer were present in the southern belt and along the Mississippi River, while liver cancer was high along the Texas-Mexico border, and clusters of kidney cancer were observed in North and South Dakota and counties in West Virginia, Ohio, Indiana, Louisiana, Oklahoma, Texas, Alaska, and Illinois. Conclusions and Relevance: Cancer mortality declined overall in the United States between 1980 and 2014. Over this same period, there were important changes in trends, patterns, and differences in cancer mortality among US counties. These patterns may inform further research into improving prevention and treatment.

Indexed as

Cause of DeathFemaleGeographic MappingHumansMaleNeoplasmsRegression AnalysisRisk FactorsTime FactorsUnited States

Identifiers

PMID28118455
PMCPMC5617139
OpenAlexW2582242977

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.