Visfatin level in patients with colorectal adenoma.
Bibliographic record
Abstract
BACKGROUND: Visfatin is an adipocytokine secreted by visceral adipose tissue. It has been shown that adipocytokines may contribute to the induction of carcinogens and progression of tumors. Previously, we found a significant increase in the visfatin serum level in colorectal cancer patients. Herein, we investigated if this cytokine increases in patients with colorectal adenoma as a precursor of colorectal cancer. METHODS: In this case-control analytic study, a total of 34 patients diagnosed with colorectal adenoma and 35 disease-free controls were included. Adenomas were also categorized based on their location within the colon. Visfatin serum levels were measured in all cases and controls using enzyme- linked immunosorbent assay kits. In order to compare visfatin levels between groups a twotailed t-test was considered. Pearson correlation was also used to assess the relationship between visfatin levels and other measured variables. RESULTS: Patients included 18 male (53%) and 16 female (47%) with a mean±SD age of 48.3±10.96 years and controls were 18 male (51%) and 17 female (49%) with a mean±SD age of 51.6±12.52 years. There were no significant difference in terms of the visfatin level between the two groups (6.7±3.01 ng/ml for patients and 6.8±2.49 ng/ml for controls, p>0.05). Except for a significant correlation between the BMI and visfatin level (p=0.041), no other correlation was detected. We found no significant difference between the levels of visfatin in each location of adenoma comparing the healthy controls (p>0.05 in all comparisons). There was no statistical difference between the locations groups in terms of visfatin level as well (p>0.05). CONCLUSION: Visfatin serum level does not significantly increase in patients with colorectal adenoma. Site of adenoma within the colon or rectum does not seem to play an important role in this regard as well.
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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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".