Evidence map›Paper›PMID 33718848›Full record

ArticleEClinicalMedicine2021

Estimating cancer survival and prevalence with the Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS): An empirical study in China.

Hongrui Tian, Yanjun Hu, Qingxiang Li, Liang Lei, Zhen Liu, Mengfei Liu, Chuanhai Guo, Fangfang Liu, Ying Liu, Yaqi Pan and 3 more

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 10% 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.

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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Pronounced ethnic and sex disparities in gastric cancer burden and healthcare utilization in Inner Mongolia: a 9-year population-based cohort study.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Challenge and future of cancer screening in China: Insights from esophageal cancer screening practice.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2023
    Article
  9. Article
  10. 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

13 authors at 2 institutions in 2 countries.

Hongrui TianKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China.
Yanjun HuHealthcare Security Administration of Hua County, Henan Province, China.
Qingxiang LiCenter for Disease Control and Prevention of Hua County, Henan Province, China.
Liang LeiHealthcare Security Administration of Hua County, Henan Province, China.
Zhen LiuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China.
Mengfei LiuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China.
Chuanhai GuoKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China.
Fangfang LiuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China.
Ying LiuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China.
Yaqi PanKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China.
Isabel Dos-Santos-SilvaDepartment of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Zhonghu HeKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China.
Yang KeKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China.
Peking University · CNLondon School of Hygiene & Tropical Medicine · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to establish a new approach for surveillance of cancer prevalence and survival in China, based on the Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS).

methodsWe constructed a standard procedure for data collection, cleaning, processing, linkage, verification, analysis, and estimation of cancer prevalence and survival (including both actual observations and model estimates) by conjoint use of medical insurance claims data and all-cause death surveillance data. As a proof-of-principle study, we evaluated the performance of this surveillance approach by estimating the latest prevalence and survival for upper gastrointestinal cancers in Hua County, a high-risk region for oesophageal cancer in China.

findingsIn Hua County, the age-standardised relative 5-year survival was 39·2% (male: 36·8%; female: 43·6%) for oesophageal cancer and 33·3% (male: 29·6%; female: 43·4%) for stomach cancer. For oesophageal cancer, better survival was observed in patients of 45-64 years compared with national average estimates, and women of <75 years had better survival than men. The 5-year prevalence rate in Hua County was 99·8/100,000 (male: 105·9/100,000; female: 93·3/100,000) for oesophageal cancer and 41·5/100,000 (male: 57·4/100,000; female: 24·5/100,000) for stomach cancer. For both of these cancers, the prevalence burden peaked at 65-79 years. The model estimates for survival and prevalence were close to the observations in real investigation, with a relative difference of less than 4·5%.

interpretationThis novel approach allows accurate estimation of cancer prevalence and survival with a short delay, which has great potential for regular use in general Chinese populations, especially those not covered by cancer registries.

fundingThe National Key R&D Program of China (2016YFC0901404), the National Science & Technology Fundamental Resources Investigation Program of China (2019FY101102), the National Natural Science Foundation of China (82073626), the Taikang Yicai Public Health and Epidemic Control Fund (TKYC-GW-2020), the Beijing-Tianjin-Hebei Basic Research Cooperation Project (J200016), and the Digestive Medical Coordinated Development Center of Beijing Hospitals Authority (XXZ0204).

Indexed as

Cancer surveillanceChinaHealth-related big dataPrevalenceSurvival

Identifiers

PMID33718848
PMCPMC7921516
OpenAlexW3131826498

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.