Long-Term Safety and Clinical Effectiveness of Controlled-Release Metoclopramide in Cancer-Associated Dyspepsia Syndrome: A Multicentre Evaluation
Bibliographic record
Abstract
Patients with cancer frequently report gastrointestinal symptoms such as anorexia, early satiety, nausea, vomiting, and bloating. A reduction of the severity of some of these symptoms would benefit the patient by enhancing quality of life and improving their treatment. Forty-eight patients (25 female and 23 male; mean age 63 +/- 11 years) with a minimum two-week history of cancer-associated gastrointestinal symptoms were assigned to a single, open-label treatment group and received controlled-release metoclopramide 20 mg-80 mg q12h for a maximum period of 12 weeks (mean 46 +/- 35 days). There was a 40%-60% decrease in the severity of nausea over the first two weeks of treatment, and an approximate 50% reduction in severity of vomiting over the first four weeks of treatment. Appetite and bloating also improved, although smaller and less consistent changes were observed. Patient ratings of overall clinical effectiveness with respect to relief from symptoms and tolerability of side effects indicated that controlled-release metoclopramide was highly and moderately effective in 36% and 30% of the patients, respectively. Controlled-release metoclopramide is a useful treatment for the management of gastrointestinal symptoms associated with the cancer-associated dyspepsia syndrome including nausea, vomiting, loss of appetite, and bloating.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".