New insights into breast implant-associated anaplastic large cell lymphoma
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
PURPOSE OF REVIEW: Breast implant-associated anaplastic large cell lymphoma (BI-ALCL) is a rare form of lymphoma arising adjacent to a breast implant. We aim to review the pathogenesis and clinico-biological features of BI-ALCL. RECENT FINDINGS: BI-ALCL is a new provisional entity in the 2017 updated WHO classification. Among several hypotheses, BI-ALCL development seems to be determined by the interaction of immune response related to implant products and additional genetic events. SUMMARY: BI-ALCL is an uncommon T-cell lymphoma which is increasingly diagnosed since its first description in 1997 with 500 estimated cases worldwide. Two BI-ALCL subtypes correlating with clinical presentation have been described. Although most BI-ALCL patients with tumor cell proliferation restricted to the periprosthetic effusion and capsule have excellent outcomes, other patients presenting with a tumor mass, may have a more aggressive disease. The pathogenesis of BI-ALCL remains elusive. It is postulated that local chronic inflammation elicitated by bacterial infection or implant products may promote the activation and proliferation of T cells. Additional genetic events resulting in the activation JAK/STAT pathway are also incriminated. Further investigations are needed to better characterize the pathogenesis of this disease in order to determine the potential risk to develop BI-ALCL after surgical implants.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it