Evidence map›Paper›PMID 42713179›Full record

ArticleChinese journal of cancer research = Chung-kuo yen cheng yen chiu2026

Long-term effectiveness of a two-step colorectal cancer screening strategy and risk of colorectal cancer after polypectomy.

Lijuan Dai, Le Wang, Yunfeng Zhu, Furong Chang, Weiwei Chen, Xueni Cheng, Yuefan Shen, Meng Zhu, Hongxia Ma, Guangfu Jin and 4 more

Abstract read
In one paragraph

Article in Chinese journal of cancer research = Chung-kuo yen cheng yen chiu, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Lijuan Dai *Department of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Changzhou Medical Center, Nanjing Medical University, Nanjing 211166, China.
Le Wang *Department of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310022, China.
Yunfeng Zhu *Haining Hospital of Traditional Chinese Medicine, Haining Cancer Prevention and Treatment Research Institute, Haining 314400, China.
Furong ChangDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Changzhou Medical Center, Nanjing Medical University, Nanjing 211166, China.
Weiwei ChenDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Changzhou Medical Center, Nanjing Medical University, Nanjing 211166, China.
Xueni ChengDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Changzhou Medical Center, Nanjing Medical University, Nanjing 211166, China.
Yuefan ShenDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Changzhou Medical Center, Nanjing Medical University, Nanjing 211166, China.
Meng ZhuDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Changzhou Medical Center, Nanjing Medical University, Nanjing 211166, China.
Hongxia MaDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Changzhou Medical Center, Nanjing Medical University, Nanjing 211166, China.
Guangfu JinDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Changzhou Medical Center, Nanjing Medical University, Nanjing 211166, China.
Zhibin HuDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Changzhou Medical Center, Nanjing Medical University, Nanjing 211166, China.
Lingbin DuDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310022, China.
Dong HangDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Changzhou Medical Center, Nanjing Medical University, Nanjing 211166, China.
Hongbing ShenDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Changzhou Medical Center, Nanjing Medical University, Nanjing 211166, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to evaluate the long-term effectiveness of a colorectal cancer (CRC) screening strategy combining fecal immunochemical testing (FIT) and questionnaire-based risk assessment (QRA), and to characterize post-polypectomy CRC risk within this screening framework. Methods: A total of 295,706 participants who underwent FIT or QRA were enrolled in a CRC screening program in China. Those with positive results were classified as high risk and referred for colonoscopy. Absolute risk reductions (ARRs) and numbers needed to screen (NNS) were estimated for CRC incidence and mortality. Cox proportional hazards models estimated hazard ratios (HRs) and 95% confidence intervals (95% CIs), compared to low-risk non-attenders. Among participants with polyps, post-polypectomy CRC risk was evaluated by comparing index colonoscopy findings with negative findings. Results: During a median follow-up of 11.41 years, 1,267 CRC cases and 387 CRC-specific deaths were identified. Among high-risk individuals, colonoscopy attendance was associated with 10-year ARRs of 0.83% for CRC incidence and 0.31% for CRC mortality, corresponding to NNS values of 121 and 323, respectively. Compared with low-risk colonoscopy non-attenders, high-risk colonoscopy attenders showed no significantly increased CRC incidence over 15 years and had lower CRC-specific mortality at 10 and 15 years, with HRs of 0.59 (95% CI: 0.36-0.97) and 0.57 (95% CI: 0.37-0.88), respectively. In contrast, high-risk colonoscopy non-attenders had markedly increased risks of both CRC incidence (HR=2.79, 95% CI: 2.39-3.25) and mortality (HR=2.82, 95% CI: 2.14-3.71). Individuals with high-risk polyps had a markedly elevated CRC risk as early as 3 years after index colonoscopy (HR=5.75, 95% CI: 1.90-17.36). Conclusions: Within a two-step FIT-QRA screening strategy, colonoscopy attendance among high-risk individuals was associated with long-term benefit and a risk profile closer to that of the low-risk population, whereas individuals with high-risk polyps showed markedly elevated CRC risk from 3 years after polypectomy.

Indexed as

Colorectal cancerfecal immunochemical testingpost-polypectomyscreening effectiveness

Identifiers

PMID42713179
PMCPMC13551359

What OpenQuestion holds

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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.