SynthesisFrontiers in oncology2023
Effectiveness and safety of the bevacizumab and erlotinib combination
Synthesis in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The safety and efficacy of binimetinib for lung cancer: a systematic review.BMC pulmonary medicine · 2024Pooled it
- The combination of pralsetinib and bevacizumab enhances antitumor activity against KIF5B-RET lung cancer via PI3K/AKT pathway.Journal of thoracic disease · 2026Article
- Article
- Ultrasonication-assisted green synthesis, in silico EGFR-binding analysis, and cytotoxic evaluation of nitro-perimidines for non-small cell lung cancer.Journal of computer-aided molecular design · 2026Article
- Exploring cellular plasticity and resistance mechanisms in lung cancer: Innovations and emerging therapies.Journal of pharmaceutical analysis · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The EGFR gene encodes a protein that stimulates molecular pathways that allow the growth and development of the tumor microenvironment. The current preferred tyrosine kinase inhibitor (TKI) for the first-line treatment of EGFRm metastatic non-small cell lung cancer (NSCLC) is osimertinib. However, the combination of angiogenesis inhibitors and TKI has produced discordant results. We aimed to assess the effects of the bevacizumab and erlotinib combination in EGFRm metastatic NSCLC. Methods: Using eligibility criteria focused on patients with EGFRm metastatic NSCLC treated with bevacizumab and erlotinib, we searched databases including clinical trial randomized studies and reviews published until April 15, 2023 in Medline (PubMed), Scopus, and Embase. Eight clinical trials (1,052 patients) were selected from 1,343 articles for quantitative and qualitative assessment. The risk of bias was assessed using the Cochrane Risk of Bias tool. Data were synthesized through random-effects meta-analysis. Results: The bevacizumab and erlotinib combination significantly improved the progression-free survival (PFS) (log(HR) = 0.63; 95% CI: 0.54-0.73, Conclusions: The bevacizumab and erlotinib combination significantly improved PFS and ORR in EGFRm metastatic NSCLC but were also associated with higher-grade (≥3) adverse events. These results suggest that while the combination therapy may enhance progression-free survival and overall response, it does not improve the overall survival and is associated with higher toxicity. Thus, the treatment should be personalized based on individual patient comorbidities. Further prospective trials are needed to validate these results. Systematic review registration: https://www.crd.york.ac.uk/prospero/#searchadvanced, identifier CDR 42022364692.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.