Evidence map›Paper›PMID 41235207›Full record

ArticleFrontiers in public health2025

Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999-2023) using CDC WONDER data.

Xuefei Yang, Yinyan Shao, Junhua Guo, Ting Huang, Heran Zhou

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

5 authors.

Xuefei Yang *Department of Oncology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Yinyan Shao *Department of General Medicine, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Junhua GuoDepartment of Oncology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Ting HuangDepartment of Oncology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Heran Zhou *Department of Oncology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Esophageal cancer continues to pose a significant public health challenge worldwide. However, the extent to which advancements in treatment have reduced mortality at the population level remains unclear. This study examines trends in esophageal cancer mortality in the United States from 1999 to 2023, focusing on variations based on sex, ethnicity, urbanization level, census region, and age group. Methods: Mortality data were obtained from the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database using ICD-10 codes (C15.0-C15.9) to identify esophageal cancer-related deaths. The analysis included individuals aged 25 years and older. Temporal trends in age-adjusted mortality rates (AAMR) were analyzed using the Joinpoint Regression Program. Data were stratified by census region, metropolitan/non-metropolitan residence, and state. Annual percentage change (APC) and average annual percentage change (AAPC) were calculated along with their 95% confidence intervals (CI). Results: Between 1999 and 2023, a total of 357,606 deaths from esophageal cancer were recorded. A significant decline in the mortality rate was observed over this period, with the overall AAMR decreasing from 6.74 to 5.61 per 100,000, corresponding to an AAPC of -0.81* (* Conclusion: Despite an overall decline in the mortality rate of esophageal cancer, significant disparities persist across geographic, urban-rural, and age subgroups. These findings highlight the need for targeted public health interventions to address ongoing inequalities, particularly among NH white individuals, those living in non-metropolitan areas, and older adult.

Indexed as

Esophageal NeoplasmsMortalityAdultAgedAged, 80 and overCenters for Disease Control and Prevention, U.S.EthnicityFemaleHumansLongitudinal StudiesMaleMiddle AgedUnited Statesage-adjusted mortality rateCDC WONDERepidemiologyesophageal cancermortality trends

Identifiers

PMID41235207
PMCPMC12605218

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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.