Evidence map›Paper›PMID 37693879›Full record

ArticleThe Lancet regional health. Western Pacific2023

Survival differences between the USA and an urban population from China for all cancer types and 20 individual cancers: a population-based study.

Ruiying Fu, Ke Sun, Xiaofeng Wang, Bingsheng Liu, Tao Wang, Jakub Morze, Sergiusz Nawrocki, Lan An, Siwei Zhang, Li Li and 19 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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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

29 authors.

Ruiying FuNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Ke SunDalian Center for Disease Control and Prevention, Liaoning, 116035, China.
Xiaofeng WangDalian Center for Disease Control and Prevention, Liaoning, 116035, China.
Bingsheng LiuSchool of Public Policy and Administration, Chongqing University, No.174 Shazhengjie, Shapingba District, Chongqing, 400044, China.
Tao WangSchool of Public Policy and Administration, Chongqing University, No.174 Shazhengjie, Shapingba District, Chongqing, 400044, China.
Jakub MorzeCollege of Medical Sciences, SGMK University, Olsztyn, Poland.
Sergiusz NawrockiDepartment of Oncology, Collegium Medicum, University of Warmia and Mazury in Olsztyn, 10-228, Olsztyn, Poland.
Lan AnNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Siwei ZhangNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Li LiNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Shaoming WangNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Ru ChenNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Kexin SunNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Bingfeng HanNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Hong LinDalian Center for Disease Control and Prevention, Liaoning, 116035, China.
Huinan WangDalian Center for Disease Control and Prevention, Liaoning, 116035, China.
Dan LiuDalian Center for Disease Control and Prevention, Liaoning, 116035, China.
Yang WangDalian Center for Disease Control and Prevention, Liaoning, 116035, China.
Youwei LiDalian Center for Disease Control and Prevention, Liaoning, 116035, China.
Qian ZhangDalian Center for Disease Control and Prevention, Liaoning, 116035, China.
Huijuan MuLiaoning Provincial Center for Disease Control and Prevention, Shenyang, 110005, China.
Qiushuo GengSchool of Medical Device, Shenyang Pharmaceutical University, Benxi, 117004, China.
Feng SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing, 100191, China.
Haitao ZhaoPeking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100021, China.
Xuehong ZhangChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Lingeng LuDepartment of Chronic Disease Epidemiology, Yale School of Public Health, Yale Cancer Center, Yale University, New Haven, CT, 06520, USA.
Dan MeiDalian Center for Disease Control and Prevention, Liaoning, 116035, China.
Hongmei ZengNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Wenqiang WeiNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The systematic comparison of cancer survival between China and the USA is rare. Here we aimed to assess the magnitude of survival disparities and disentangle the impact of the stage at diagnosis between a Chinese metropolitan city and the USA on cancer survival. Methods: We included 11,046 newly diagnosed cancer patients in Dalian Cancer Registry, China, 2015, with the follow-up data for vital status until December 2020. We estimated age-standardised 5-year relative survival and quantified the excess hazard ratio (EHR) of death using generalised linear models for all cancers and 20 individual cancers. We compared these estimates with 17 cancer registries' data from the USA, using the Surveillance, Epidemiology, and End Results database. We further estimated the stage-specific survival for five major cancers by region. Findings: Age-standardised 5-year relative survival for all patients in Dalian was lower than that in the USA (49.9% vs 67.9%). By cancer types, twelve cancers with poorer prognosis were observed in Dalian compared to the USA, with the largest gap seen in prostate cancer (Dalian: 55.8% vs USA: 96.0%). However, Dalian had a better survival for lung cancer, cervical cancer, and bladder cancer. Dalian patients had a lower percentage of stage Ⅰ colorectal cancer (Dalian: 17.9% vs USA: 24.2%) and female breast cancer (Dalian: 40.9% vs USA: 48.9%). However, we observed better stage-specific survival among stage Ⅰ-Ⅱ lung cancer patients in Dalian than in the USA. Interpretation: This study suggests that although the overall prognosis for patients was better in the USA than in Dalian, China, survival deficits existed in both countries. Improvement in cancer early detection and cancer care are needed in both countries. Funding: National Key R&D Program (2021YFC2501900, 2022YFC3600805), Major State Basic Innovation Program of the Chinese Academy of Medical Sciences (2021-I2M-1-010, 2021-I2M-1-046), and Talent Incentive Program of Cancer Hospital of Chinese Academy of Medical Sciences.

Indexed as

5-year relative survivalPopulation-based studyThe United StatesUrban China, Dalian

Identifiers

PMID37693879
PMCPMC10485681

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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.