Incidence of postmenopausal symptoms and current mamagement: a survey of 260 breast cancer patients.
Bibliographic record
Abstract
Abstract Abstract #3117 Background: The advent of newer and more efficacious adjuvant treatments has allowed women to live longer without cancer recurrence. However these treatments often prematurely induce menopause, worsen menopausal symptoms and may have long-term effects on postmenopausal health. The objectives of this study were to examine the incidence of post-menopausal symptoms and how such symptoms are currently being managed outside of a clinical trial setting, in order to better facilitate patient care. Methods: A self-administered questionnaire was completed by 260 postmenopausal breast cancer patients assessing treatment-induced side effects, how patients were monitored and patient follow-up. Descriptive statistics were used to describe results. Parametric and non-parametric inferential statistics were used in an exploratory analysis to compare post-menopausal symptoms between patient subgroups. Results: Of the 260 patients, 48% percent received endocrine therapy, 17.7% received chemotherapy and 26.2% were not on any therapy at the time of this study. The most common reported symptom was hot flashes (49.2%). Other common reported symptoms were difficulty sleeping (44.6%), weight gain (35.9%), memory problems (33.1%), and vaginal dryness (32.7%). Statistically significant correlations were identified between the use of aromatase inhibitors and the development of hypercholesterolemia and osteopenia. In contrast, the use of tamoxifen was significantly associated with the occurrence of vaginal symptoms such as dryness, itching and bleeding. Majority of patients were also monitored by their family physician with cholesterol monitoring (84%) and bone densitometry (68.1%) either yearly or every two years. Though most patients (83.5%) felt that their medical oncologist should monitor their breast cancer, they preferred to discuss their endocrine symptoms with their family physician (57.9%). Conclusions: The incidence and association of symptoms reported were consistent with the current literature. The management of long-term consequences of breast cancer therapies is going to remain a major part of our role as medical oncologists. However, involvement of family physicians in management of symptoms seems to be preferred by many patients. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 3117.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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) | 0.001 | 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".