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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".