Evidence map›Paper›PMID 40265100›Full record

ArticleJournal of the National Cancer Center2025

Projections of esophageal cancer incidence trend in Jiangsu Province, China: a Bayesian modeling study.

Weigang Miao, Yuanyuan Feng, Bijia Jiang, Yanan Wan, Xikang Fan, Renqiang Han, Jinyi Zhou

Abstract read
In one paragraph

Article in Journal of the National Cancer Center, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Weigang MiaoDepartment of Non-communicable Chronic Disease and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yuanyuan FengDepartment of Non-communicable Chronic Disease and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Bijia JiangDepartment of Non-communicable Chronic Disease and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yanan WanDepartment of Non-communicable Chronic Disease and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Xikang FanDepartment of Non-communicable Chronic Disease and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Renqiang HanDepartment of Non-communicable Chronic Disease and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Jinyi ZhouDepartment of Non-communicable Chronic Disease and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Esophageal cancer has made a great contribution to the cancer burden in Jiangsu Province, East China. This study was aimed at reporting esophageal cancer incidence trend in 2009-2019 and its prediction to 2030. Methods: The burden of esophageal cancer in Jiangsu in 2019 was estimated using 54 cancer registries' data selected from Jiangsu Cancer Registry. Incident cases of 16 cancer registries were applied for the temporal trend from 2009 to 2019. The burden of esophageal cancer by 2030 was projected using the Bayesian age-period-cohort (BAPC) model. Results: About 24,886 new cases of esophageal cancer (17,233 males and 7,653 females) occurred in Jiangsu in 2019. Rural regions of Jiangsu had the highest incidence rate. The age-standardized incidence rate (ASIR, per 100,000 population) of esophageal cancer in Jiangsu decreased from 27.72 per 100,000 in 2009 to 14.18 per 100,000 in 2019. The BAPC model showed that the ASIR would decline from 13.01 per 100,000 in 2020 to 4.88 per 100,000 in 2030. Conclusions: According to the data, esophageal cancer incidence rates were predicted to decline until 2030, yet the disease burden is still significant in Jiangsu. The existing approaches to prevention and control are effective and need to be maintained.

Indexed as

Bayesian methodEsophageal cancerIncidencePrediction

Identifiers

PMID40265100
PMCPMC12010353

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.