Effect of number of dissected lymph nodes on prognosis of patients with stage II and III colorectal cancer
Bibliographic record
Abstract
Aim: There is a correlation between the number of resected lymph nodes (LNs) and survival as well as staging in patients with colorectal cancer (CRC). This cohort discussed the effect of the number of dissected LNs on the prognosis [survival, disease-free survival (DFS)] of patients with stage II and III CRC. Methods: In this historical prospective cohort study, the records of 946 patients with CRC operated in the Seyyed-Al-Shohada hospital in Isfahan from 1998 to 2014 were enrolled. Then the impact of LNs on the overall survival (OS) and DFS were analyzed. Results: The number of removed LNs was higher among males [mean difference = 1.38, t (944) = 2.232, P-value = 0.02]. The median of the DFS for the patients with 1 to 20 LN removal was 104 months [95% confidence interval (CI): 90.97–117.03], while this number for the patients with more than 20 nodes was 166 months (95% CI: 140.41–191.58). DFS between two groups of CRCs, LN removal 1–20, and greater than 20. Age and number of LN removal were significant predictors of the DFS. There was a strong and statistically significant correlation between DFS and OS among CRC patients. Conclusions: This study shows that if the number of resected LNs in patients with CRC is more than 20, it will increase in DFS and OS.
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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 | 0.001 |
| 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".