Supplementation with fish oil increases first‐line chemotherapy efficacy in patients with advanced nonsmall cell lung cancer
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Palliative chemotherapy is aimed at increasing survival and palliating symptoms. However, the response rate to first-line chemotherapy in patients with nonsmall cell lung cancer (NSCLC) is less than 30%. Experimental studies have shown that supplementation with fish oil (FO) can increase chemotherapy efficacy without negatively affecting nontarget tissue. This study evaluated whether the combination of FO and chemotherapy (carboplatin with vinorelbine or gemcitabine) provided a benefit over standard of care (SOC) on response rate and clinical benefit from chemotherapy in patients with advanced NSCLC. METHODS: Forty-six patients completed the study, n = 31 in the SOC group and n = 15 in the FO group (2.5 g EPA + DHA/day). Response to chemotherapy was determined by clinical examination and imaging. Response rate was defined as the sum of complete response plus partial response, and clinical benefit was defined as the sum of complete response, partial response, and stable disease divided by the number of patients. Toxicities were graded by a nurse before each chemotherapy cycle. Survival was calculated 1 year after study enrollment. RESULTS: Patients in the FO group had an increased response rate and greater clinical benefit compared with the SOC group (60.0% vs 25.8%, P = .008; 80.0% vs 41.9%, P = .02, respectively). The incidence of dose-limiting toxicity did not differ between groups (P = .46). One-year survival tended to be greater in the FO group (60.0% vs 38.7%; P = .15). CONCLUSIONS: Compared with SOC, supplementation with FO results in increased chemotherapy efficacy without affecting the toxicity profile and may contribute to increased survival.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 it