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: Angiosarcoma arising in the irradiated breast after breast-conserving therapy is being reported with increasing frequency. As more women undergo breast-conserving therapy, the incidence can be expected to increase. The objective of this study was to review breast angiosarcomas diagnosed from 1981 to 2000 from our state cancer registry. METHODS: A comprehensive review of a population-based registry, Florida Cancer Data System, identified 70 cases of breast angiosarcomas from 1981 to 2000. Descriptive statistical and chi analyses were performed. RESULTS: Of the 70 cases at presentation, 39 were primary breast angiosarcomas (PBAs) and 31 were secondary breast angiosarcomas (SBAs). The mean ages were 59 and 72.9 for the PBA and SBA groups, respectively. In the SBA group the mean age of breast cancer diagnosis was 67.6. The mean time to diagnosis of the angiosarcoma was 5.2 years after breast cancer irradiation. At presentation 82% (n = 32) and 48% (n = 15), in the PBA and SBA groups, respectively had local disease (P = 0.003). The primary treatment was mastectomy in each group. There was no difference in mortality between the 2 groups (PSA; n = 18, SBA; n = 17). CONCLUSION: Angiosarcoma of the breast is rare and this study reports a review of 70 cases from 1980 to 2000. Angiosarcoma after breast-conserving therapy is increasingly diagnosed in a small but significant portion of breast carcinoma survivors. SBA patients present with more advance disease. Surgical resection is the primary therapy. The aggressive nature of this disease demands further investigation of adjuvant therapy to prevent recurrence of disease after surgery.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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