Safety and Cost-Effectiveness of Outpatient Autologous Stem Cell Transplantation in Patients with Multiple Myeloma
Bibliographic record
Abstract
High-dose chemotherapy with autologous stem cell transplantation (ASCT) remains the standard of care for patients with multiple myeloma. Outpatient ASCT can be an attractive option given wait times and costs associated with inpatient procedures. We initiated an outpatient transplantation protocol in 2006. Patients were treated at a university hospital outpatient clinic that was open 5 days a week. The present study investigated safety and cost-effectiveness of the outpatient program. Ninety-one patients underwent ASCT between 2006 and 2010. The majority of patients (77%) had Durie-Salmon stage III disease; 38% had 1 or more comorbidities. Seventy-six patients (84%) were hospitalized during the first 100 days, mainly for febrile neutropenia (n = 71). Overall survival at day 100 was 100%. No patient was admitted to an intensive care unit. Risk factors for prolonged hospitalization (longer than 7 days) were disease stage IIB or higher and age >60 years. The cost savings was $19,522 (Canadian dollars) per patient compared with inpatient ASCT, for an annual savings of approximately $740,000. In summary, outpatient ASCT performed in a weekday clinic for patients with multiple myeloma appears to be safe and cost-effective, but is associated with a relatively high hospitalization rate.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".