Desensitization of Immunomodulating Agent–Related Hypersensitivity Reactions as a Means to Provide Therapeutic Options in the Management of Plasma Cell Disorders (DeHyperPCD)
Bibliographic record
Abstract
Hypersensitivity reactions (HSRs) can be a significant barrier to a patient’s cancer treatment journey. HSRs caused by immunomodulating agents, specifically lenalidomide (LEN) can be overwhelmingly distressful, paradoxically depriving patients of access to a clinically meaningful drug. Based on our historical clinical experiences, we have learned that the rapid desensitization protocol (RDP), when executed precisely, can enable patients to successfully resume LEN treatment. This served as the impetus for initiating our prospective study. We consecutively enrolled 10 patients diagnosed with plasma cell disease who had experienced a previous HSR specifically with LEN. After fully recovering from their initial reactions, patients underwent a controlled 10–12 steps incremental increase in drug dosage administration, followed by daily resumption of LEN over a 90‐day period. All 10 (100%) patients successfully completed the protocol and continued on further LEN treatment cycles, although 1 patient voluntarily chose to withdraw from the study due to recurrent symptoms after receiving 2 doses of LEN. Three (30%) patients remained symptom‐free throughout the follow‐up period. Six (60%) patients experienced mild and short‐lived HSR reactivation; however, all had the ability to take LEN for the majority of the study period. RDP enables patients to continue taking LEN and maintains the health‐related quality of life (HR‐QoL) by reducing the occurrence of HSR. RDP empowers patients to participate in future clinical trialsinvolving novel treatments that contain LEN as a backbone therapy, opportunities they would have otherwise been ineligible for.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | low |
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".