Systemic Therapy for Advanced Gastric Cancer: A Clinical Practice Guideline
Bibliographic record
Abstract
QUESTION: What is the optimal chemotherapy regimen in advanced gastric cancer? PERSPECTIVES: Gastric cancer is the second leading cause of cancer mortality worldwide. Despite low incidence rates for gastric cancer in Ontario, the overall prognosis is bleak, with 5-year survival rates of approximately 23% in Canada. Even with the considerable body of research available on chemotherapy for advanced gastric cancer, uncertainty remains. There is no recognized standard treatment, and there appears to be geographic variation in practice. OUTCOMES: Outcomes of interest were overall survival, objective response rate (complete plus partial responses), time to disease progression, adverse effects, and quality of life. METHODOLOGY: After a systematic review, a practice guideline containing clinical recommendations relevant to patients in Ontario was drafted. The practice guideline was reviewed and approved by the Gastrointestinal Disease Site Group (gi dsg) and the Report Approval Panel of the Program in Evidence-Based Care. External review by Ontario practitioners was obtained through a survey, the results of which were incorporated into the practice guideline. PRACTICE GUIDELINE: The gi dsg makes the following recommendations: To improve survival, a platinum agent should be included in any combination chemotherapy regimen.Within a combination chemotherapy regimen, oral capecitabine is preferred over intravenous 5-fluorouracil (5fu)-that is, epirubicin-cisplatin-capecitabine is preferred over the prior standard regimen, epirubicin-cisplatin-5fu (ecf).Epirubicin-oxaliplatin-capecitabine (eox) is a reasonable alternative to ecf. The choice between ecf and eox should be based on patient preference.Trastuzumab in combination with cisplatin and a fluoropyrimidine (5fu or oral capecitabine) is recommended for advanced gastric cancer positive for the human epidermal growth factor receptor 2 (her2/neu).
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".