Direct medical costs of young-onset colorectal cancer: a worldwide systematic review
Bibliographic record
Abstract
BACKGROUND: Given the rising incidence of young-onset colorectal cancer (yCRC) among individuals younger than 50 years old, understanding the economic burden of yCRC is required to inform the delivery of healthcare services. Therefore, we conducted a systematic review of studies assessing the direct medical costs of yCRC, and where relevant average-age onset CRC (aCRC). METHODS: We searched MEDLINE, EMBASE, and Web of Science from inception to May 2022 for original, peer-reviewed studies, that reported direct medical costs (e.g., chemotherapy, radiotherapy, outpatient visits, inpatient care, prescription medications) for yCRC and aCRC. We used a modified version of the Consolidated Health Economic Evaluation Reporting Standards checklist to appraise the studies. Costs were inflation-adjusted to 2020 US dollars. RESULTS: We included 14 studies from 10 countries, including the USA, England, France, Korea, Vietnam, China, Italy, Australia, Canada and Japan. Five studies focused on prevalent disease and reported annualized per-capita cost of prevalent yCRC, ranging from $2,263 to $16,801 and $1,412 to $14,997 among yCRC and aCRC cases, respectively. Nine studies estimated the cost of incident disease. Synthesis of per-capita costs incurred 12 months following colorectal cancer diagnosis ranged from $23,368 to $89,945 for yCRC and $19,929 to $67,195 for aCRC. Five studies used multivariable approaches to compare costs associated with yCRC and aCRC, four showed no differences and one suggested greater costs with yCRC. CONCLUSION: Our synthesis of direct medical costs of yCRC across multiple jurisdictions provide relevant information for healthcare decisions, including on-going considerations for expanding CRC screening strategies to younger adults.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.036 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.010 |
| Bibliometrics | 0.014 | 0.016 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".