Colorectal Cancer Treatment Characteristics and Concordance With Guidelines in Sri Lanka: Results From a Hospital-Based Cancer Registry
Bibliographic record
Abstract
PURPOSE: Colorectal cancer (CRC) ranks among the top five incident cancers in Sri Lanka (SL). Here, we describe disease characteristics and treatment patterns of patients with CRC in SL. METHODS: All adult patients (age > 18 years) diagnosed with CRC during 2016-2020 were identified from the National Cancer Institute SL cancer registry. Cancer stage at diagnosis was defined according to the seventh edition of the TNM staging system. Concordance between recommendations for adjuvant therapy and actual rates of delivery was also analyzed. Descriptive statistics were used to describe the study cohort and treatment patterns. RESULTS: A total of 1,578 patients were diagnosed with CRC during the study period, 53% (n = 830) with colon cancer and 47% (n = 748) with rectal cancer. Mean age was 61 (range, 18-91) years. Stage distribution was 13%, 28%, 46%, and 12% for stage I, II, III, and IV cancers, respectively. Adjuvant chemotherapy was delivered to 82% of patients with stage III colon cancer. There was a lack of concordance with delivery of neoadjuvant chemoradiotherapy, which was only delivered to 50% of patients with stage III rectal cancer for whom this treatment was indicated. CONCLUSION: Aging population and advanced stage of CRC at diagnosis will continue to challenge the provision of high-quality CRC care in SL. Further quantitative and qualitative research may help better understand the nonconcordance with treatment guidelines. Such information would help ease the burden of advanced-stage CRC in SL.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".