Comparison of Simulated Outcomes Between Stool- and Blood-Based Colorectal Cancer Screening Tests
Fendrick, M.; Vahdat, V.; Chen, J. V.; Lieberman, D.; Karlitz, J. J.; Limburg, P. J.; Ozbay, A. B.; Kisiel, J. B.
Show abstract
ObjectivesThe Centers for Medicare & Medicaid Services (CMS) recommends covering blood-based tests meeting proposed minimum performance thresholds for colorectal cancer (CRC) screening. Outcomes were compared between currently available stool-based screening tests and a hypothetical blood-based test meeting CMS minimum thresholds. MethodsUsing the CRC-AIM model, outcomes were simulated for average-risk individuals screened between ages 45-75 years with triennial multi-target stool DNA (mt-sDNA), annual fecal immunochemical test (FIT), and annual fecal occult blood test (FOBT). Per CMS guidance, blood-based CRC screening was modeled triennially, with 74% CRC sensitivity and 90% specificity. Although not specified by CMS, adenoma sensitivity was set between 10-20%. Published adenoma and CRC sensitivity and specificity were used for stool-based tests. Adherence was set at (a) 100%, (b) 30-70%, in 10% increments, and (c) real-world rates for stool-based tests (mt-sDNA=65.6%; FIT=42.6%; FOBT=34.4%). ResultsAssuming perfect adherence, a blood-based test produced [≥]19 lower LYG than stool-based strategies. At the best-case scenario for blood-based tests (100% adherence and 20% adenoma sensitivity), mt-sDNA at real-world adherence achieved more LYG (287.2 vs 297.1, respectively) with 14% fewer colonoscopies. At 100% blood-based test adherence and real-world mt-sDNA and FIT adherence, the blood-based test would require advanced adenoma sensitivity of 30% to reach the LYG of mt-sDNA (297.1) and approximately 15% sensitivity to reach the LYG of FIT (258.9). ConclusionsThis model suggests that blood-based tests with CMS minimally-acceptable CRC sensitivity and low advanced adenoma sensitivity will frequently yield inferior outcomes to stool-based testing across a wide range of adherence assumptions.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Oral aspirin for preventing colorectal adenoma recurrence: a systematic review and network meta-analysis of randomized controlled trials 91%
- Ability of known colorectal cancer susceptibility SNPs to predict colorectal cancer risk: A cohort study within the UK Biobank 91%
- Colorectal cancer in patients with single versus double positive faecal immunochemical test results: A retrospective cohort study 90%
Similar papers in this journal
- Molecular pathways in post-colonoscopy versus detected colorectal cancers: results from a nested case-control study 91%
- Diagnostic performance of the faecal immunochemical test for patients with low-risk symptoms of colorectal cancer in primary care: a service evaluation in the South West of England 90%
- CA125 and age-based models for ovarian cancer detection in primary care: a population-based external validation study 90%
Similar papers in this journal
- Impact of Screening and Follow-up Colonoscopy Adenoma Sensitivity on Colorectal Cancer Screening Outcomes in the CRC-AIM Microsimulation Model 99%
- Associations of the 2018 World Cancer Research Fund/American Institute of Cancer Research (WCRF/AICR) Cancer Prevention Recommendations with Stages of Colorectal Carcinogenesis 92%
- A Video Intervention to Improve Patient Understanding of Tumor Genomic Testing in Patients with Cancer 89%
Similar papers in this journal
- Effects of Screening for Colorectal Cancer: Development, Documentation and Validation of a Multistate Markov Model 94%
- Developing and validating polygenic risk scores for colorectal cancer risk prediction in East Asians 90%
- Prediction of Colorectal Cancer Risk Based on Profiling with Common Genetic Variants 89%
Similar papers in this journal
- Identification of patients at risk for pancreatic cancer in a 3-year timeframe based on machine learning algorithms 89%
- Early screening of colorectal cancer using feature engineering with artificial intelligence-enhanced analysis of nanoscale chromatin modifications 89%
- A semi-automated technique for adenoma quantification in the ApcMin mouse using FeatureCounter 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.