Evidence map›Paper›PMID 40235891›Full record

ArticleWorld journal of gastrointestinal oncology2025

Oesophageal cancer-specific mortality risk and public health insurance: Prospective cohort study from China.

Xiang-Lin Wu, Xiao-Sheng Li, Jing-Han Cheng, Lin-Xin Deng, Zu-Hai Hu, Jun Qi, Hai-Ke Lei

Abstract read
In one paragraph

Article in World journal of gastrointestinal oncology, 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.

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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

7 authors.

Xiang-Lin WuChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing 400030, China.
Xiao-Sheng LiChongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing 400030, China.
Jing-Han ChengResearch Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China.
Lin-Xin DengResearch Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China.
Zu-Hai HuDepartment of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 400016, China.
Jun QiDepartment of Thoracic Surgery, The People's Hospital of Changshou Chongqing, Chongqing 401220, China.
Hai-Ke LeiChongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing 400030, China. tohaike@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOesophageal cancer is a significant health concern worldwide, with high incidence and mortality rates. In China, the disease burden is particularly high, accounting for a substantial proportion of oesophageal cancer cases and related deaths worldwide.

aimTo explore the relationship between the mortality rate of oesophageal cancer patients and insurance type, out-of-pocket ratio, and the joint effects of insurance type and out-of-pocket ratio.

methodsThe

resultsCompared with patients covered by basic medical insurance for urban and rural residents, patients covered by urban employee basic medical insurance for urban workers (UEBMI) had a 23.30% increased risk of oesophageal cancer-specific death [HR = 1.233, 95% confidence interval (CI): 1.093-1.391,

conclusionThis study reveals the relationships of the specific mortality rate of patients with oesophageal cancer with the out-of-pocket ratio and medical insurance types as well as their combined effects. This study provides practical suggestions and guidance for the formulation of relevant policies in this area.

Indexed as

InsuranceMortality riskOesophageal cancerPrognosisPublic health

Identifiers

PMID40235891
PMCPMC11995315

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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.