Osteoporosis and pain severity in reproductive age patients with breast cancer
Bibliographic record
Abstract
Aim. To analyze the relationship of osteoporosis in reproductive age patients with breast cancer with the pain severity and osteoporosis diagnosis improvement in these patients to improve their quality of life.Methods. The study included 63 women aged 30 to 50 years. The studied group consisted of 33 women with confirmed diagnosis of breast cancer, control group - 30 healthy, same age women of comparison group. The examination included a blood test for osteocalcin, calcitonin, alkaline phosphatase, parathyroid hormone, thyroid stimulating hormone, calcium and phosphorus. The pain severity was evaluated by McGill pain questionnaire and pain syndrome classification. Osteodensitometry was performed to all patients of studied and control groups. All patients with «breast cancer» diagnosis were examined prior to specific treatment administration and 6 months after treatment course completion. 12 patients were examined also after neoadjuvant chemotherapy.Results.Osteopenia (initial changes of bone tissue) was revealed in 3 (10%) cases in the control group. There was no cases of osteoporosis in the control group. Clinical manifestations in the form of the 1st level pain syndrome in healthy women was registered in 6 (20%) cases. Osteoporosis develops more often in patients who underwent complex treatment with ovarian function blocking, i.e. the artificial menopause advent. Osteoporosis in breast cancer patients after combined treatment was detected in 69.7% of cases, and pain - in 75.8% of cases. Bone mineral density indicators during treatment and after it were significantly different compared to those before treatment (pConclusion. In breast cancer in reproductive age patients after the complex treatment, osteoporosis and pain often develop, therefore such patients need to undergo osteodensitometry for timely osteoporosis diagnosis and treatment correction.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 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".