Carboplatin hypersensitivity reaction in pediatric low grade glioma (LGG) patients: A national experience. On behalf of the Canadian Pediatric Brain Tumor Consortium
Bibliographic record
Abstract
9053 Background: Carboplatin based regimens are widely used in the treatment of unresectable pediatric LGG. Carboplatin hypersensitivity reaction (CHSR) represents a main limiting factor. Objective: To analyse the incidence, characteristics, management and impact on outcome of CHSR. Methods: National retrospective review of children diagnosed with LGG between 1988 and 2004. Inclusion criteria were age <18 years, pathology proven diagnosis of LGG except in NF1 patients, and no chemotherapy or radiotherapy prior to carboplatin chemotherapy. Results: 105 patients (61F/44M) from 10 Canadian centers were included in the study. Median age at diagnosis was 3.5y (0.3–16.8). 33 patients had NF1, 75 had diencephalic tumor. Carboplatin was given monthly or weekly respectively in 46 and 59 patients. 44 (41.9%) patients developed carboplatin HSR at a median time of 6.5 months (0.4–15.4), after a median number of 10.5 (3–39) injections. CHSR occurred significantly earlier with the weekly schedule (p=0.016). Cumulative incidence of CHSR increased with the number of injections with no plateau. Female had significant higher risk to develop CHSR (p=0.02) whereas age, NF1 status and schedule of administration were not significant risk factors. First allergic reaction was rated grade I, II in 36 patients (82%). 34 patients were reexposed to carboplatin with desensitization/premedication, allowing 14 patients (41.2%) to complete their treatment. But the majority (58.8%) had recurrent allergic reaction with a significant worsening of their symptoms (p=0.039). The median number of additional Carboplatin injections delivered was 4 (0.5–34). After Carboplatin discontinuation, 18 patients were switched to another chemotherapy regimen. 5 years PFS was not significantly different in allergic and non allergic patients (53.9% and 45.6%). Conclusions: In our experience, the incidence of CHSR is high (41.9%). Female have higher risk of CHSR. Desensitization/premedication has limited efficacy and does not prevent worsening of CHSR. CHSR did not impact the PFS. However many patients did switch to another chemotherapy regimen and the total duration of treatment was comparable in both groups. No significant financial relationships to disclose.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".