Evidence map›Paper›PMID 32215367›Full record

ArticleEClinicalMedicine2020

Estimating cancer incidence based on claims data from medical insurance systems in two areas lacking cancer registries in China.

Hongrui Tian, Wei Yang, Yanjun Hu, Zhen Liu, Lei Chen, Liang Lei, Fan Zhang, Fen Cai, Huawen Xu, Mengfei Liu and 12 more

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 49 citations in OpenAlex.

  1. Trial
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  4. [Perioperative hyperglycemia predicts poorer prognosis of esophageal squamous cell carcinoma patients treated with esophagectomy].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026
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  11. Cancer and the risk of perioperative arterial ischaemic events.European heart journal. Quality of care & clinical outcomes · 2024
    Article
  12. 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
  13. Article
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  16. Gastric Cancer Growth Modulated by circSNTB2/miR-6938-5p/G0S2 and PDCD4.Combinatorial chemistry & high throughput screening · 2023
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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

22 authors at 6 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.
Wei YangCancer Hospital of Shantou University Medical College, Guangdong Province, China.
Yanjun HuHealthcare 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.
Lei ChenCancer Hospital of Shantou University Medical College, Guangdong Province, China.
Liang LeiHealthcare Security Administration of Hua County, Henan Province, China.
Fan ZhangCancer Hospital of Shantou University Medical College, Guangdong Province, China.
Fen CaiCancer Hospital of Shantou University Medical College, Guangdong Province, China.
Huawen XuCancer Hospital of Shantou University Medical College, Guangdong Province, 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.
Yun ChenPeking University Shenzhen Hospital, Guangdong Province, China.
Ping XiaoPeking University Shenzhen Hospital, Guangdong Province, China.
Junhui ChenPeking University Shenzhen Hospital, Guangdong Province, China.
Ping JiPeking University Shenzhen Hospital, Guangdong Province, China.
Zhengyu FangPeking University Shenzhen Hospital, Guangdong Province, 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 · CNPeking University Shenzhen Hospital · CNCancer Hospital of Shantou University Medical College · CNPeking University Cancer Hospital · CNLondon School of Hygiene & Tropical Medicine · GBShantou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to establish a Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS) in China and evaluate the completeness and timeliness of this system through reporting cancer incidence rates using claims data in two regions in northern and southern China.

methodsWe extracted claims data from medical insurance systems in Hua County of Henan Province, and Shantou City in Guangdong Province in China from Jan 1, 2012 to Jun 30, 2019. These two regions have been considered to be high risk regions for oesophageal cancer. We developed a rigorous procedure to establish the MIS-CASS, which includes data extraction, cleaning, processing, case ascertainment, privacy protection, etc. Text-based diagnosis in conjunction with ICD-10 codes were used to determine cancer diagnosis.

findingsIn 2018, the overall age-standardised (Segi population) incidence rates (ASR World) of cancer in Hua County and Shantou City were 167·39/100,000 and 159·78/100,000 respectively. In both of these areas, lung cancer and breast cancer were the most common cancers in males and females respectively. Hua County is a high-risk region for oesophageal cancer (ASR World: 25·95/100,000), whereas Shantou City is not a high-risk region for oesophageal cancer (ASR World: 11·43/100,000). However, Nanao island had the highest incidence of oesophageal cancer among all districts and counties in Shantou (ASR World: 36·39/100,000). The age-standardised male-to-female ratio for oesophageal cancer was lower in Hua County than in Shantou (1·69 vs. 4·02). A six-month lag time was needed to report these cancer incidences for the MIS-CASS.

interpretationMIS-CASS efficiently reflects cancer burden in real-time, and has the potential to provide insight for improvement of cancer surveillance in China.

fundingThe National Key R&D Program of China (2016YFC0901404), the Digestive Medical Coordinated Development Center of Beijing Municipal Administration of Hospitals (XXZ0204), the Sanming Project of Shenzhen (SZSM201612061), and the Shantou Science and Technology Bureau (190829105556145, 180918114960704).

Indexed as

Cancer incidenceCancer surveillanceChinaClaims dataMedical insurance system

Identifiers

PMID32215367
PMCPMC7090368
OpenAlexW3011089332

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.