Evidence map›Paper›PMID 37106459›Full record

ArticleBMC medicine2023

Development, validation, and evaluation of a risk assessment tool for personalized screening of gastric cancer in Chinese populations.

Xia Zhu, Jun Lv, Meng Zhu, Caiwang Yan, Bin Deng, Canqing Yu, Yu Guo, Jing Ni, Qiang She, Tianpei Wang and 19 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Plasma proteomic signatures improve risk stratification and personalized screening for gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026
    Article
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  5. Early detection of gastric cancer via multiplex blood assay targeting CfDNA methylation signatures.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026
    Article
  6. Observational
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  13. Risk Prediction Models for Gastric Cancer: A Scoping Review.Journal of multidisciplinary healthcare · 2024
    Article
  14. 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

29 authors at 8 institutions in 3 countries.

Xia Zhu *Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Rd, Nanjing, 211166, China.
Jun Lv *Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, China.
Meng Zhu *Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Rd, Nanjing, 211166, China.
Caiwang Yan *Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Rd, Nanjing, 211166, China.
Bin DengDepartment of Gastroenterology, The Affiliated Hospital of Yangzhou University, Yangzhou University, 88 Daxue South Rd, Yangzhou, 225000, China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, China.
Yu GuoFuwai Hospital Chinese Academy of Medical Sciences, Beijing, China.
Jing NiDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Rd, Nanjing, 211166, China.
Qiang SheDepartment of Gastroenterology, The Affiliated Hospital of Yangzhou University, Yangzhou University, 88 Daxue South Rd, Yangzhou, 225000, China.
Tianpei WangDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Rd, Nanjing, 211166, China.
Jiayu WangDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Rd, Nanjing, 211166, China.
Yue JiangDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Rd, Nanjing, 211166, China.
Jiaping ChenDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Rd, Nanjing, 211166, China.
Dong HangDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Rd, Nanjing, 211166, China.
Ci SongDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Rd, Nanjing, 211166, China.
Xuefeng GaoDepartment of Gastroenterology, The Affiliated Hospital of Yangzhou University, Yangzhou University, 88 Daxue South Rd, Yangzhou, 225000, China.
Jian WuDepartment of Gastroenterology, The Affiliated Hospital of Yangzhou University, Yangzhou University, 88 Daxue South Rd, Yangzhou, 225000, China.
Juncheng DaiDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Rd, Nanjing, 211166, China.
Hongxia MaDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Rd, Nanjing, 211166, China.
Ling YangClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Yiping ChenClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Mingyang SongDepartments of Epidemiology and Nutrition, Harvard University T.H. Chan School of Public Health, Boston, MA, USA.
Qingyi WeiDuke Cancer Institute, Duke University Medical Center, Durham, NC, USA.
Zhengming ChenClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Zhibin HuDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Rd, Nanjing, 211166, China.
Hongbing ShenDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Rd, Nanjing, 211166, China. hbshen@njmu.edu.cn.
Yanbing DingDepartment of Gastroenterology, The Affiliated Hospital of Yangzhou University, Yangzhou University, 88 Daxue South Rd, Yangzhou, 225000, China. ybding@yzu.edu.cn.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, China. lmlee@bjmu.edu.cn.
Guangfu JinDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Rd, Nanjing, 211166, China. guangfujin@njmu.edu.cn.
Nanjing Medical University · CNYangzhou University · CNPeking University · CNUniversity of Oxford · GBChinese Academy of Medical Sciences & Peking Union Medical College · CNDuke Medical Center · USHarvard University · USSuzhou Municipal Hospital · CN

Funding

Cancer Research UK 29186Medical Research Council MC_U137686851Medical Research Council MC_UU_00017/1Wellcome Trust 212946/Z/18/Z
6 · The paper itself

Abstract

backgroundEffective risk prediction models are lacking for personalized endoscopic screening of gastric cancer (GC). We aimed to develop, validate, and evaluate a questionnaire-based GC risk assessment tool for risk prediction and stratification in the Chinese population.

methodsIn this three-stage multicenter study, we first selected eligible variables by Cox regression models and constructed a GC risk score (GCRS) based on regression coefficients in 416,343 subjects (aged 40-75 years) from the China Kadoorie Biobank (CKB, development cohort). In the same age range, we validated the GCRS effectiveness in 13,982 subjects from another independent Changzhou cohort (validation cohort) as well as in 5348 subjects from an endoscopy screening program in Yangzhou. Finally, we categorized participants into low (bottom 20%), intermediate (20-80%), and high risk (top 20%) groups by the GCRS distribution in the development cohort.

resultsThe GCRS using 11 questionnaire-based variables demonstrated a Harrell's C-index of 0.754 (95% CI, 0.745-0.762) and 0.736 (95% CI, 0.710-0.761) in the two cohorts, respectively. In the validation cohort, the 10-year risk was 0.34%, 1.05%, and 4.32% for individuals with a low (≤ 13.6), intermediate (13.7~30.6), and high (≥ 30.7) GCRS, respectively. In the endoscopic screening program, the detection rate of GC varied from 0.00% in low-GCRS individuals, 0.27% with intermediate GCRS, to 2.59% with high GCRS. A proportion of 81.6% of all GC cases was identified from the high-GCRS group, which represented 28.9% of all the screened participants.

conclusionsThe GCRS can be an effective risk assessment tool for tailored endoscopic screening of GC in China. Risk Evaluation for Stomach Cancer by Yourself (RESCUE), an online tool was developed to aid the use of GCRS.

Indexed as

Stomach NeoplasmsAdultAgedEarly Detection of CancerEast Asian PeopleHumansMiddle AgedRisk AssessmentRisk FactorsGastric cancerPersonalized preventionRisk predictionRisk stratificationScreening

Identifiers

PMID37106459
PMCPMC10142220
OpenAlexW4367320472

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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.