Bibliographic record
Abstract
BACKGROUND: Abnormal collagen metabolism is thought to play an important role in the development of primary inguinal and ventral hernia. The detection of an impaired collagen balance both in the tissue as well as in cultured fibroblasts underlines the suspicion that the development of hernia is likely to be implemented primarily by a disturbance of the fibroblast function and their collagen genes. Based on these results we assume that the altered collagen synthesis in hernia patients can be regarded as a genetically linked deregulation serving as a basic initiating or promoting factor for the development of primary inguinal hernias. With the hypothesis that hernia is a local manifestation of a systemic disease manifested by increased expression of matrix metallo-proteinase-2 (MMP-2), a study was planned with following aims: 1) to establish a causal association between inguinal hernia and MMP-2; 2) to test the hypothesis that hernia is a local manifestation of a systemic disorder rather than a mere local mechanical defect. METHODS: A case control study was conducted on 30 subjects of each direct and indirect inguinal hernia and 30 controls. DAC-ELISA test was used for analysis of serum (preoperative) and tissue samples (fascia transversalis) in patients as well as controls. RESULTS: Statistically, serum levels of MMP-2 were significantly increased in all the hernia patients as compared to controls. This increment was maximum in patients of direct hernia. MMP-2 was not detectable in tissue samples. CONCLUSIONS: Hernia is a local manifestation of a systemic disease rather than a mere local mechanical defect. KEYWORDS: MMP-2; Matrix Metalloproteinase-2; Inguinal hernia; DAC-ELISA; Collagen metabolism; PBST-Phosphate Buffer Saline Tween-20.
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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 | 0.000 |
| 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) | 0.001 | 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".