Evidence map›Paper›PMID 41296753›Full record

ArticlePLoS medicine2025

The impact of adherence on colorectal cancer screening cost-effectiveness: A modeling study.

Jiaxin Xie, Xuesi Dong, Zilin Luo, Chenran Wang, Yadi Zheng, Xiaolu Chen, Zeming Guo, Xiaoyue Shi, Fei Wang, Wei Cao and 6 more

Abstract read
In one paragraph

Article in PLoS medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

16 authors.

Jiaxin XieOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xuesi DongOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zilin LuoOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0001-5071-1423
Chenran WangOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0002-4202-126X
Yadi ZhengOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaolu ChenOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0009-0002-8472-0138
Zeming GuoOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaoyue ShiOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Fei WangOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Wei CaoOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yongjie XuOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Le WangDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0002-6142-7134
Weimiao WuDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 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, Nanjing Medical University, Nanjing, China.
Lingbin DuDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Ni LiOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0001-5530-7745

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdherence to colorectal cancer (CRC) screening remains suboptimal in many countries, reducing its cost-effectiveness. This study aimed to evaluate how multistage uptake rates influence the health benefit and cost-effectiveness of various CRC screening strategies in the Chinese population, incorporating both traditional and emerging screening methods. METHODS AND

findingsWe developed a multistate Markov model (CRC-SIM) to evaluate the impact of multistep uptake on CRC screening. A hypothetical cohort of 100,000 individuals aged 40 was simulated and followed until 79 or death. Two-step screening strategies were modeled: initial screening followed by colonoscopy after a positive result. Traditional initial screening methods include: questionnaire-based risk assessment, fecal immunochemical test (FIT), and questionnaire combined with FIT; Non-invasive biomarker-based initial strategies include a hypothetical test meeting the minimum standards of China National Medical Products Administration (NMPAmin), multitarget stool DNA (mt-sDNA) test, and blood-based strategies. All strategies were modeled as one-time screenings, with outcomes projected for CRC cases, deaths, quality-adjusted life years (QALYs), and lifetime costs. Incremental cost-effectiveness ratios (ICERs) were calculated, and a cost-effectiveness heatmap was conducted to assess the impact of multistep uptake (modeled in 10% steps) on economic outcomes. All strategies reduced CRC cases, deaths and increased QALYs compared to no screening, with biomarker-based strategies outperforming the traditional methods at the same uptake level (e.g., questionnaire combined with FIT prevented 224 (95% confidence interval (CI) [157, 292]) CRC cases and 151 (95% CI [109, 195]) deaths, whereas NMPAmin prevented 312 (95% CI [257, 360]) cases and 210 (95% CI [175, 241]) deaths at 100% uptake). The cost-effectiveness heatmap indicated that each 10% increase in initial and follow-up colonoscopy uptake improved ICERs in a non-linear pattern. The questionnaire combined with FIT was the most cost-effective strategy (ICER = $2,413 per QALY gained). Non-invasive biomarker-based tests were not cost-effective compared with the combined questionnaire and FIT strategy under current assumptions of test costs and identical uptake rate. Threshold analysis showed that non-invasive biomarker-based screening would become cost-effective if test costs fell below $131.7 or colonoscopy uptake increased to at least 70% for NMPAmin and 50% for blood-based tests and mt-sDNA. Limitations include the assumption of a one-time screening scenario; future iterations of the model and merging evidence in repeated screening will address these limitations.

conclusionImproving screening participation could enhance health benefits and cost-efficiency in CRC screening. Questionnaire-based risk assessment combined with FIT was a cost-effective strategy in China, whereas non-invasive biomarker-based methods require cost reduction and higher uptake to justify adoption. These findings provide evidence for policymakers to optimize CRC screening programs.

Indexed as

Colorectal NeoplasmsEarly Detection of CancerMass ScreeningPatient ComplianceAdultAgedChinaColonoscopyCost-Benefit AnalysisFemaleHumansMaleMarkov ChainsMiddle AgedOccult BloodQuality-Adjusted Life Years

Identifiers

PMID41296753
PMCPMC12654882

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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.