Recomendaciones para la determinación de HER2 en cáncer de mama. Consenso Nacional de la Sociedad Española de Anatomía Patológica ( SEAP ) y de la Sociedad Española de Oncología Médica ( SEOM )
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
Breast cancers with HER2 alterations are critical to identify because such tumors require unique treatment, including the use of targeted therapies. HER2 alterations at the DNA (amplification) and protein (overexpression) level usually occur in concert, and both in situ hybridization and immunohistochemistry can be accurate methods to assess these alterations. However, recent studies including those conducted by the Association for Quality Assessment of the Spanish Society of Pathology and the experience of several national reference centres for HER2 testing have suggested that serious reproducibility issues exist with both techniques. To address this, a joint committee of both the Spanish Society of Pathology and the Spanish Society of Medical Oncology has met to review guidelines for HER2 testing. Consensus recommendation are based not only on panellist’s experience but also in those consensus guidelines previously reported in several countries, such as United Stated, United Kingdom and Canada. These guidelines include minimal requirements that Pathology Department must meet in order to guarantee appropriate HER2 testing in breast cancer. Pathology laboratories that do not meet these standards must put effort to reach them and, in the meantime, send clinical cases to reference centres.
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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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