Tolerability of Velcade (Bortezomib) subcutaneous administration using a maximum volume of 3 mL per injection site
Bibliographic record
Abstract
Subcutaneous injection is now commonly used as a standard for bortezomib administration. The bortezomib (Velcade(®)) product monograph recommends that intravenous injections be prepared at a concentration of 1 mg/mL, while subcutaneous injections may be prepared at a concentration of 2.5 mg/mL. Many institutions and subcutaneous administration guidelines use 2 mL as the maximum volume for subcutaneous injection. Using 2 mL as the maximum volume for injection would mean that many patients receiving bortezomib will receive two injections during each visit with common dosing parameters. In this prospective study evaluating a change to subcutaneous administration, bortezomib 1 mg/mL was administered subcutaneously at a higher maximum of 3 mL per injection site. For 57 individual patients, 339 doses were administered. Skin reactions were noted in 42% with all reactions being Grade 1 or 2. Patients tolerated subcutaneous injections well and only four patients were switched back to intravenous route. This is the first time that subcutaneous bortezomib of a volume up to a maximum of 3 mL (bortezomib 3 mg) per injection site has been reported. This higher single dose is well tolerated with limited skin reactions, no significant hypotension and facilitates ease of administration with only 5 patients needing two injections per visit. If the maximum volume for injection was kept at 2 mL, a total of 46 patients would have received two injections per visit.
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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) | 0.001 | 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) | 0.003 | 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".