Breast Cancer in Patients 80 Years-Old and Older
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Breast cancer is the most common cancer in women and one in ten patients affected are over age 80. However, this age group is mostly excluded from clinical trials and data to inform their care is sparse. MATERIALS AND METHODS: Medical records of all patients aged 80 years-old and older diagnosed and treated for breast cancer in a single center over a six-year period were retrospectively reviewed. A cohort of patients aged 65 to 75 treated for breast cancer at the same center during the same period was also reviewed for comparison. RESULTS: Patients in the 80 and over age group were commonly diagnosed with stage II or III disease (39.2%) compared to younger patients who were diagnosed more commonly (61.6%) with stage I disease. Sub-types of breast cancer had a similar representation in the two groups. Hormonal therapy was used equally in the two groups, but significantly fewer patients in the 80 and over age group had radiation therapy and chemotherapy as part of their treatment. Despite these differences, recurrence rates were not significantly different between the two groups. CONCLUSION: Individualized treatments taking into consideration the patient's general status, comorbidities and life expectancy are feasible in the older breast cancer population and result in outcomes similar to those of younger patients in the short and intermediate terms.
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.
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 | 0.000 | 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) | 0.000 | 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 it