Efficacy and safety of anlotinib in the treatment of brain metastases from non-small cell lung cancer: a systematic review and meta-analysis
Bibliographic record
Abstract
Background The presence of brain metastases is a significant factor contributing to the failure of lung cancer therapies. This study aims to systematically assess the efficacy and safety of anlotinib in the treatment of brain metastases resulting from non-small cell lung cancer (NSCLC). Methods A comprehensive literature search was conducted across multiple databases, including PubMed, EMBASE, Cochrane Library, Web of Science, CNKI, Wan fang, and VIP databases. This search encompassed the period from the establishment of the databases up until November 2024. The Cochrane risk of bias tool was employed to assess the quality of the randomized controlled trials (RCTs) included in the study, while the quality of the cohort studies was evaluated using the Newcastle-Ottawa Scale (NOS) score. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) system was used to evaluate the quality of evidence. The meta-analysis was conducted using the RevMan 5.3 software. Results A total of 18 studies (9 RCTs and 9 retrospective cohort studies; n = 1,480) were included in the analysis. The results demonstrated that, compared to the control group, anlotinib significantly prolonged intracranial progression-free survival (IPFS)[3 studies; HR = 0.52, 95% CI (0.36–0.75), P = 0.0004, I 2 = 0%, fixed-effect model] and improved overall survival (OS) [3 studies; HR = 0.69, 95% CI (0.54–0.88), P = 0.0003, I 2 = 0%, fixed-effect model]. Furthermore, anlotinib increased the objective response rate (ORR) [15 studies; RR = 1.55, 95% CI (1.30–1.84), P < 0.00001, I 2 = 58%, random-effects model] and disease control rate (DCR) [13 studies; RR = 1.33, 95% CI (1.23–1.44), P < 0.00001, I 2 = 29%, fixed-effect model]. Regarding safety outcomes, the anlotinib group showed a significantly reduced risk of nausea-vomiting [7 studies; RR = 0.52, 95% CI (0.29–0.92), P = 0.02, I 2 = 0%, fixed-effect model], while no significant differences were observed in other adverse reactions. Conclusion Anlotinib may prolong IPFS and OS in patients with brain metastases from NSCLC, and may improve ORR and DCR. In terms of safety, may reduce the risk of nausea-vomiting. The risk of bias in some of the included studies was unclear. The quality of OS and DCR was moderate, while that of IPFS, ORR and nausea-vomiting was low. Systematic Review Registration https://www.crd.york.ac.uk/PROSPERO/view/CRD42025632195 , identifier [CRD42025632195].
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.013 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".