Real-world effectiveness of nivolumab in patients with non-small-cell lung cancer: a systematic review and meta-analysis
Bibliographic record
Abstract
Background: The effectiveness of immunotherapies for non-small-cell lung cancer under real-world clinical settings remains uncertain. Materials & methods: Systematic searches of PubMed, EMBASE and Web of Science were conducted. Random-effects models were used to estimate pooled median overall survival and progression-free survival estimates. Results: 36 studies of nivolumab were included for narrative synthesis and 11 of these studies were included for meta-analysis. Age, sex, histology and prior lines of treatment did not affect survival outcomes, while Eastern Cooperative Oncology Group Performance Status and brain metastasis were inversely associated with survival. In the meta-analysis, nivolumab was associated with 9.6 months (95% CI: 8.4–10.9) of overall survival and 2.6 months (95% CI: 1.6–3.6) of progression-free survival. Conclusion: Very-low-certainty evidence suggested the real-world effectiveness of nivolumab was consistent with those observed in the clinical trials.
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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 | 0.015 | 0.034 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.031 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".