Successful treatment of multiple angiomyolipomas with sirolimus in a child
Bibliographic record
Abstract
Tuberous sclerosis complex frequently results in the formation of renal angiomyolipomas (AMLs). Sirolimus (SIR) or everolimus can be used to treat large AMLs, although this treatment has rarely been described in children, particularly for multiple renal AMLs. A 15-year-old girl presented with bilateral severe chronic flank pain coinciding with increased renal size and hundreds of renal AMLs. We opted to treat her with SIR over the course of 3.5 years. Following her treatment, her renal size had substantially decreased and the AMLs had shrunk. The patient's pain subsided as well. Our case, which has never been described in published literature, demonstrates that a child with multiple renal AMLs can be treated with SIR, and suggests that this treatment may be a viable option for preventing the development of secondary morbidities such as chronic pain.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".