ArticleWorld journal of oncology2024
The Addition of Atezolizumab to Chemotherapy in Non-Small Cell Lung Cancer: A Trial-Based Review and Meta-Analysis.
Article in World journal of oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed, 1 citations in OpenAlex.
- Heterogeneity of treatment effect? What baseline prognostic factors tell us about immunotherapy benefit.JNCI cancer spectrum · 2026Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Non-small cell lung cancer (NSCLC) stands as one of the most prevalent types of cancer worldwide, driving extensive research in oncologic therapeutic approaches. Atezolizumab, among the treatments under scrutiny, is undergoing evaluation as a potential first-line therapy for NSCLC. This review aims to assess the efficacy of atezolizumab in treating patients with NSCLC and to shed light on the ongoing quest for the most effective treatment. Methods: Multiple scientific databases, including PubMed, Cochrane, and ScienceDirect, were consulted. The literature identification utilized the strategic Boolean term method of keywords relating to "non-small cell lung cancer" and "atezolizumab" to suggest the analyzed population in our review without restricting the potential outcomes. The primary inclusion criterion is clinical studies that attempted to determine the efficacy of atezolizumab in NSCLC patients. Results: We included four trials to be analyzed in the final analysis, which we stratified into the programmed cell death-ligand 1 (PD-L1) expressivity status aside from the pooled intention-to-treat (ITT) population. We found the addition of atezolizumab may significantly improve the overall survival (OS) in the respective arm, remarkably among the high PD-L1 expression group (TC3 or IC3). The result of our meta-analysis presented the pooled OS of 0.79 (0.72, 0.87) in 95% confidence interval (CI) with a P value of < 0.05. Sub-analysis of the PD-L1's expression revealed TC3 population benefits the most (hazard ratio (HR): 0.55, 95% CI (0.42, 0.73)), compared to low (HR: 0.80, 95% CI (0.68, 0.93)) and negative expression (HR: 0.79, 95% CI (0.68, 0.93)); which is statistically meaningful (P < 0.05). Similar result was also observed in progression-free survival (PFS) analysis with the HR value of 0.63 (0.55, 0.72), with P value of < 0.05, favoring atezolizumab arm. Conclusions: Upon examination, the study reveals that the addition of atezolizumab demonstrates notable improvements in both OS and PFS among NSCLC patients. These findings present promising attributes for atezolizumab as a viable treatment for NSCLC. However, it is important to acknowledge that the future holds further revelations in this realm, and more insights are yet to be uncovered.
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.