Evidence map›Paper›PMID 39885591›Full record

ArticleJMIR cancer2025

Spatiotemporal Correlation Analysis for the Incidence of Esophageal and Gastric Cancer From 2010 to 2019: Ecological Study.

Zixuan Cui, Chen Suo, Yidan Zhao, Shuo Wang, Ming Zhao, Ruilin Chen, Linyao Lu, Tiejun Zhang, Xingdong Chen

Abstract read
In one paragraph

Article in JMIR cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Microbiota and cancer: Elucidating the role ofWorld journal of clinical oncology · 2025
    Review
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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

9 authors.

Zixuan CuiDepartment of Epidemiology, School of Public Health, Fudan University, Dongan Road 130, Shanghai, 200032, China, 86 15618218427.ORCID 0009-0007-6563-6738
Chen Suo *Department of Epidemiology, School of Public Health, Fudan University, Dongan Road 130, Shanghai, 200032, China, 86 15618218427.ORCID 0000-0002-5274-4584
Yidan ZhaoDepartment of Epidemiology, School of Public Health, Fudan University, Dongan Road 130, Shanghai, 200032, China, 86 15618218427.ORCID 0009-0009-3871-5996
Shuo WangDepartment of Epidemiology, School of Public Health, Fudan University, Dongan Road 130, Shanghai, 200032, China, 86 15618218427.ORCID 0009-0008-6060-6019
Ming ZhaoDepartment of Epidemiology, School of Public Health, Fudan University, Dongan Road 130, Shanghai, 200032, China, 86 15618218427.ORCID 0009-0001-8435-6930
Ruilin ChenDepartment of Epidemiology, School of Public Health, Fudan University, Dongan Road 130, Shanghai, 200032, China, 86 15618218427.ORCID 0009-0004-7184-6895
Linyao LuFudan University Taizhou Institute of Health Sciences, Jiangsu, China.ORCID 0000-0001-8849-6626
Tiejun ZhangDepartment of Epidemiology, School of Public Health, Fudan University, Dongan Road 130, Shanghai, 200032, China, 86 15618218427.ORCID 0000-0002-5187-7393
Xingdong Chen *Fudan University Taizhou Institute of Health Sciences, Jiangsu, China.ORCID 0000-0003-3763-160X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Esophageal and gastric cancer were among the top 10 most common cancers worldwide. In addition, sex-specific differences were observed in the incidence. Due to their anatomic proximity, the 2 cancers have both different but also shared risk factors and epidemiological features. Exploring the potential correlated incidence pattern of them, holds significant importance in providing clues in the etiology and preventive strategies. Objective: This study aims to explore the spatiotemporal correlation between the incidence patterns of esophageal and gastric cancer in 204 countries and territories from 2010 to 2019 so that prevention and control strategies can be more effective. Methods: The data of esophageal and gastric cancer were sourced from the Global Burden of Disease (GBD). Spatial autocorrelation analysis using Moran I in ArcGIS 10.8 (Esri) was performed to determine spatial clustering of each cancer incidence. We classified different risk areas based on the risk ratio (RR) of the 2 cancers in various countries to the global, and the correlation between their RR was evaluated using Pearson correlation coefficient. Temporal trends were quantified by calculating the average annual percent change (AAPC), and the correlation between the temporal trends of both cancers was evaluated using Pearson correlation coefficients. Results: In 2019, among 204 countries and territories, the age-standardized incidence rates (ASIR) of esophageal cancer ranged from 0.91 (95% CI 0.65-1.58) to 24.53 (95% CI 18.74-32.51), and the ASIR of gastric cancer ranged from 3.28 (95% CI 2.67-3.91) to 43.70 (95% CI 34.29-55.10). Malawi was identified as the highest risk for esophageal cancer (male RR=3.27; female RR=5.19) and low risk for gastric cancer (male RR=0.21; female RR=0.23) in both sexes. Spatial autocorrelation analysis revealed significant spatial clustering of the incidence for both cancers (Moran I>0.20 and P<.001). A positive correlation between the risk of esophageal and gastric cancer was observed in males (r=0.25, P<.001). The ASIR of both cancers showed a decreasing trend globally. The ASIR for esophageal and gastric cancer showed an AAPC of -1.43 (95% CI -1.58 to -1.27) and -1.76 (95% CI -2.08 to -1.43) in males, and -1.93 (95% CI -2.11 to -1.75) and -1.79 (95% CI -2.13 to -1.46) in females. In addition, a positive correlation between the temporal trends in ASIR for both cancers was observed at the global level across sexes (male r=0.98; female r=0.98). Conclusions: Our study shows that there was a significant spatial clustering of the incidence for esophageal and gastric cancer and a positive correlation between the risk of both cancers across countries was observed in males. In addition, a codescending incidence trend between both cancers was observed at the global level.

Indexed as

Esophageal NeoplasmsStomach NeoplasmsFemaleHumansIncidenceMaleMiddle AgedRisk FactorsSpatio-Temporal Analysisaverage annual percentage changecancerepidemiologyesophageal cancergastric cancerGBDglobal burden of diseaseincidencespatiotemporal analysisspatiotemporal correlation

Identifiers

PMID39885591
PMCPMC11798535

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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.