Adjuvant Chemoradiation for Gastric Cancer with Infusional 5-Fluorouracil and Cisplatin: A Phase I Study
Bibliographic record
Abstract
OBJECTIVE: This phase I study aimed to determine the maximal tolerated dose of cisplatin administered every 2 weeks with infusional 5-fluorouracil (5FU) and concurrent radiation therapy (RT) in patients after complete resection of gastric adenocarcinoma. METHODS: Patients with resected stage IB to IV (M0) gastric adenocarcinoma were treated with 12 weeks of infusional 5FU (200 mg/m(2) daily) and with RT (45 Gy in 25 fractions starting on day 16). Cisplatin was administered in escalating doses (0, 20, 30, and 40 mg/m(2)) in weeks 1, 3, 5, and 7. In the final cohort, patients received an additional dose of cisplatin (40 mg/m(2)) in week 9. RESULTS: Among the 34 patients [median age: 56 years (range: 31-77 years)] who were assessable for toxicity, 5 experienced dose-limiting toxicities: 1 sepsis (cohort 1), 1 fatigue (cohort 2), 3 upper gastrointestinal toxicity (1 in cohort 2, 2 in cohort 5). Cohort 5 exceeded the maximal tolerated dose. Median follow-up was 2.5 years (range: 0.3-5 years). The 3-year overall and relapse-free survival rates were 86% and 71% respectively; median survival was not reached. CONCLUSIONS: Cisplatin was well tolerated in combination with infusional 5FU and RT, showing promising activity in the adjuvant treatment of gastric cancer. Infusional 5FU 200 mg/m(2) daily for 12 weeks with cisplatin 40 mg/m(2) in weeks 1, 3, 5, and 7 and with concurrent RT 45 Gy in 25 fractions, starting at day 16, is being explored in a phase II study at our institution.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.003 |
| 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".