Minimal access nipple-sparing mastectomy – the current European landscape
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
Minimal access nipple-sparing mastectomy (M-NSM), performed with endoscopic systems or with surgical robot assistance, is a novel alternative to the classic approach to nipple-sparing mastectomies. Leading advancements in M-NSM have primarily come from Asia. We gather experts' opinions from six European countries to establish the current status of M-NSM in Europe. An eight-question survey was designed to explore M-NSM's historical background and current standing in various local settings. We collected data from 6 European countries, including Italy, Spain, France, Switzerland, Belgium, and Poland. The number of centers offering M-NSM procedures in each reported country ranges 1-9. The number of procedures performed annually in four centers exceeds 10. In all reported countries, current national breast cancer recommendations do not include M-NSM, and this procedure is not explicitly covered by any of the national health care providers. All experts have indicated the need for training in M-NSM surgery as a primary way to incorporate these techniques as a standard procedure. Minimal access nipple-sparing mastectomy is still a tool used by a narrow group of specialists in Europe. The main obstacle to broader implementation remains the extra cost of M-NSM, which requires reimbursement from the health care providers. Training courses, data collection, and demonstration of its benefits are the key to promoting M-NSM among breast surgeons and patients.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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