Observational studyMedicine2018
Predicting the risk for colorectal cancer with personal characteristics and fecal immunochemical test.
Observational study in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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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.
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.
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Who cites it
13 citing papers in PubMed.
- Stool-based methylated syndecan-2 test and fecal immunochemical test for advanced colorectal neoplasia screening in the Chinese population: A multicenter randomized noncomparative study.Chinese medical journal · 2026Trial
- Evaluation of NEUROG1 methylation status in stool specimens in the advanced adenomas and colorectal cancer.PeerJ · 2025Article
- Age- and sex-stratified detection rates and associated factors of colorectal neoplasia in the Tianjin colorectal cancer screening program from 2012 to 2020.BMC gastroenterology · 2023Article
- Development and Validation of Risk Prediction Models for Colorectal Cancer in Patients with Symptoms.Journal of personalized medicine · 2023Article
- Development of a multivariable prediction model for anal high-grade squamous intraepithelial lesions in persons living with HIV in Puerto Rico: a cross-sectional study.Lancet regional health. Americas · 2023Article
- A scoping review of risk-stratified bowel screening: current evidence, future directions.Cancer causes & control : CCC · 2022Article
- Status and associated factors of cross-regional healthcare-seeking among patients with advanced colorectal cancer in China: a multicenter cross-sectional study.Annals of translational medicine · 2022Article
- Out-of-pocket medical expenditure and associated factors of advanced colorectal cancer in China: a multi-center cross-sectional study.Annals of translational medicine · 2022Article
- Mitigating the impact of COVID-19 on colorectal cancer screening: Organized service screening perspectives from the Asia-Pacific region.Preventive medicine · 2021Article
- Assessing Individual Risk for High-Risk Early Colorectal Neoplasm for Pre-Selection of Screening in Shanghai, China: A Population-Based Nested Case-Control Study.Cancer management and research · 2021Article
- Motives for non-adherence to colonoscopy advice after a positive colorectal cancer screening test result: a qualitative study.Scandinavian journal of primary health care · 2020Article
- The use of electronic healthcare records for colorectal cancer screening referral decisions and risk prediction model development.BMC gastroenterology · 2020Article
- An early report of a screening program for colorectal cancer in Guangzhou, China.Annals of translational medicine · 2019Article
Corrections and comments
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We aimed to predict colorectal cancer (CRC) based on the demographic features and clinical correlates of personal symptoms and signs from Tianjin community-based CRC screening data.A total of 891,199 residents who were aged 60 to 74 and were screened in 2012 were enrolled. The Lasso logistic regression model was used to identify the predictors for CRC. Predictive validity was assessed by the receiver operating characteristic (ROC) curve. Bootstrapping method was also performed to validate this prediction model.CRC was best predicted by a model that included age, sex, education level, occupations, diarrhea, constipation, colon mucosa and bleeding, gallbladder disease, a stressful life event, family history of CRC, and a positive fecal immunochemical test (FIT). The area under curve (AUC) for the questionnaire with a FIT was 84% (95% CI: 82%-86%), followed by 76% (95% CI: 74%-79%) for a FIT alone, and 73% (95% CI: 71%-76%) for the questionnaire alone. With 500 bootstrap replications, the estimated optimism (<0.005) shows good discrimination in validation of prediction model.A risk prediction model for CRC based on a series of symptoms and signs related to enteric diseases in combination with a FIT was developed from first round of screening. The results of the current study are useful for increasing the awareness of high-risk subjects and for individual-risk-guided invitations or strategies to achieve mass screening for CRC.
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Registered trials
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.