[Outpatient chemotherapy and oncology network : Onco Pays-de-la-Loire experiment].
Bibliographic record
Abstract
Many regulatory rules related to home-based care for cancer patients issued during the recent years. More precisely, the French Plan cancer and the December 2004 << arrêté >> aim at << facilitating home-based chemotherapy by injection >> only << within the framework of a network of health in oncology >>, this in order to improve the quality of care and quality of life of patients. In this context, the Onco Pays-de-la-Loire network launched a project with centralised preparations of chemotherapy administred at home. We describe in this study the first results of this experiment. 41 patients have been treated and 224 cytotoxic drugs sended since january 2007 (56 % with trastuzumab, 19 % with gemcitabin, 13 % with methotrexate and 12 % with fluorouracil). No major problem was detected, 1,9 % of the preparations were destroyed. Satisfaction of outpatient healthcare professionals was good. A comparison of estimated costs revealed reductions in costs for outpatient chemotherapy. These first results validate the interest of cancer treatment at home for this kind of patients, and show the importance of nurse and pharmaceutical coordination.
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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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.047 | 0.003 |
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".