Nutritional support of the patient receiving high-dose therapy with hematopoietic stem cell support
Bibliographic record
Abstract
Hematopoietic stem cell transplantation (HSCT) is an intensive therapy that is being used increasingly in an attempt to cure certain malignancies. One of the major adverse effects of this treatment is an inadequate oral intake that may result in dehydration and malnutrition. Factors that may contribute to inadequate oral intake include mucositis, nausea, vomiting, and anorexia. In addition, prior to transplant, many patients may have experienced, or continue to experience malnutrition associated with malignancy and its therapy. Traditionally, total parenteral nutrition (TPN) has been the mainstay of nutritional support in this patient population. The blood and marrow transplant (BMT) team at the Ottawa Hospital has significantly decreased the use of TPN through the initiation of a comprehensive nutritional support program that uses a variety of interventions including oral supplementation and enteral feeding. Understanding the causes and implications of malnutrition, and using tools that allow risk assessment and timely implementation of appropriate nutritional interventions, may facilitate full patient recovery parallel to hematopoietic recovery in the HSCT patient population.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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, 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".