Fallopian tubes and ovarian cancer (Literature review)
Bibliographic record
Abstract
In the literature review the authors present an analysis of the current stateproblem of ovarian cancer and ways of its possible solution. According to clinicalobservations and conducted in recent decades by morphological,immunohistochemical and molecular genetic studies it is fairly proved that theprimary cause of serous ovarian cancer is the pathology of the mucous layer offallopian tube. In the fallopian tube as a result of ciculation of inflammation andcarcinogens elements arises dysplasia of the mucosa with the development of thepreinvasive and initial invasive carcinoma with subsequent damage of the ovariesand pelvic peritoneum. Retrospective studies of a significant number of women’shealth status who had a deligation or removal of fallopian tubes in previous years showed a decrease in the disease incidence of serous ovarian cancer from 30 to 90%. The conclusions about the possibility of preventive measures of ovariancancer by opportunistic salpingectomy at post-productive age are made. In many world countries (Canada, China, France, Italy, Austria) the introduction of such a method of prevention has been started. We believe that in Ukraine there is an urgent need and all possibilities to solve this problem. Key words: ovarian cancer, preventive measures, opportunistic salpingectomy.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".