Adjuvant melatonin for the prevention of recurrence and mortality following lung cancer resection (AMPLCaRe): A randomized placebo controlled clinical trial
Bibliographic record
Abstract
BackgroundDespite curative intent resection in patients with non-small cell lung cancer (NSCLC), recurrence leading to mortality remains too common. Melatonin has shown promise for the treatment of patients with lung cancer; however, its effect following cancer resection has not been studied. We evaluated if melatonin taken after complete resection reduces lung cancer recurrence and mortality, or impacts quality of life (QOL), symptomatology or immune function.MethodsParticipants received melatonin (20 mg) or placebo nightly for one year following surgical resection of primary NSCLC. The primary outcome was two-year disease-free survival (DFS). Secondary outcomes included five-year DFS, adverse events, QOL, fatigue, sleep, depression, anxiety, pain, and biomarkers assessing for immune function/inflammation. This study is registered at https://clinicaltrials.gov NCT00668707.Findings709 patients across eight centres were randomized to melatonin (n = 356) versus placebo (n = 353). At two years, melatonin showed a relative risk of 1·01 (95% CI 0·83–1·22), p = 0·94 for DFS. At five years, melatonin showed a hazard ratio of 0·97 (95% CI 0·86–1·09), p = 0·84 for DFS. When stratified by cancer stage (I/II and III/IV), a hazard reduction of 25% (HR 0·75, 95% CI 0·61–0·92, p = 0·005) in five-year DFS was seen for participants in the treatment arm with advanced cancer (stage III/IV). No meaningful differences were seen in any other outcomes.InterpretationAdjuvant melatonin following resection of NSCLC does not affect DFS for patients with resected early stage NSCLC, yet may increase DFS in patients with late stage disease. Further study is needed to confirm this positive result. No beneficial effects were seen in QOL, symptoms, or immune function.FundingThis study was funded by the Lotte and John Hecht Memorial Foundation and the Gateway for Cancer Research Foundation. Despite curative intent resection in patients with non-small cell lung cancer (NSCLC), recurrence leading to mortality remains too common. Melatonin has shown promise for the treatment of patients with lung cancer; however, its effect following cancer resection has not been studied. We evaluated if melatonin taken after complete resection reduces lung cancer recurrence and mortality, or impacts quality of life (QOL), symptomatology or immune function. Participants received melatonin (20 mg) or placebo nightly for one year following surgical resection of primary NSCLC. The primary outcome was two-year disease-free survival (DFS). Secondary outcomes included five-year DFS, adverse events, QOL, fatigue, sleep, depression, anxiety, pain, and biomarkers assessing for immune function/inflammation. This study is registered at https://clinicaltrials.gov NCT00668707. 709 patients across eight centres were randomized to melatonin (n = 356) versus placebo (n = 353). At two years, melatonin showed a relative risk of 1·01 (95% CI 0·83–1·22), p = 0·94 for DFS. At five years, melatonin showed a hazard ratio of 0·97 (95% CI 0·86–1·09), p = 0·84 for DFS. When stratified by cancer stage (I/II and III/IV), a hazard reduction of 25% (HR 0·75, 95% CI 0·61–0·92, p = 0·005) in five-year DFS was seen for participants in the treatment arm with advanced cancer (stage III/IV). No meaningful differences were seen in any other outcomes. Adjuvant melatonin following resection of NSCLC does not affect DFS for patients with resected early stage NSCLC, yet may increase DFS in patients with late stage disease. Further study is needed to confirm this positive result. No beneficial effects were seen in QOL, symptoms, or immune function. This study was funded by the Lotte and John Hecht Memorial Foundation and the Gateway for Cancer Research Foundation.
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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 | 0.009 | 0.050 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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".