The Role of Preoperative Carcinoembryonic Antigen in Recurrence of Resectable Colorectal Carcinoma
Bibliographic record
Abstract
in colorectal carcinoma, carcinoembryonic antigen (CEA) is a recommended marker for surveillance after curative resection.The aim of the present study was to determine the association of preoperative CEA with recurrence of colorectal carcinoma in our population.The study included 55 patients with all operable stages of colorectal adenocarcinoma treated during the 2012-2014 period, evaluated retrospectively and followed-up for recurrence for 2 years.Data on the baseline (preoperative) CEA levels were retrieved from patient files.On data analysis, SPSS 16.0 was used. in patients with normal preoperative CEA, the rate of recurrence was significantly low (p=0.008)and the likelihood of no recurrence 1.55-fold greater as compared to patients with raised initial CEA levels (p=0.028). in patients with raised preoperative CEA, the risk of recurrence was 5.26-fold greater as compared to those with normal CEA levels (p=0.028).A significant weak positive correlation (r s =0.297) was found between raised CEA and recurrence.A highly significant (p=0.002)moderate positive correlation was recorded in patients aged <50 and moderate positive correlation of borderline significance in males (r s =0.324, p=0.058).Sensitivity was 94.4% and specificity 32.4% in predicting recurrence.Accordingly, preoperative elevated CEA showed a significant weak positive correlation with recurrence while normal preoperative CEA moderately decreased the likelihood of recurrence.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".