Silicone Breast Implants as Predisposing Factor for Non-Hodgkin’s Lymphoma: An Additional Facet of Auto-Inflammatory Syndrome Induced by Adjuvant
Bibliographic record
Abstract
Autoimmune disorders are already established as risk factors for later development of lymphoproliferative disease, i.e. non-Hodgkin’s lymphoma (NHL). The recently defined a utoimmunity syndrome induced by a djuvants (ASIA syndrome) involves autoimmunity ignited by the mere presence of various adjuvants (e.g. components of certain vaccines) triggering autoimmunity. A causative relation between ASIA-related autoimmunity and later development of NHL has not yet been shown. The current case presents a 77-year-old patient, diagnosed to have NHL 13 years following cosmetic bilateral breast augmentation (with silicone implants) surgery. The authors regard the silicone implants of this patient as the trigger for ASIA syndrome later causing her subsequent lymphoproliferative disease. J Med Cases. 2014;5(7):413-416 doi: http://dx.doi.org/10.14740/jmc1828w
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.004 | 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 teacher head, 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".