ReviewCancers2025
The Landscape and Management of Brain Parenchymal and Leptomeningeal Metastases in EGFR Mutated Non-Small Cell Lung Cancer.
Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Targeting ClassicalCancers · 2026Review
- Medicinal Chemistry of Fourth-generation Tyrosine Kinase Inhibitors.Mini reviews in medicinal chemistry · 2026Review
- Efficacy of Tyrosine Kinase Inhibitors in ALK and EGFR-Mutated Non-Small Cell Lung Cancer with Brain Metastases.Medical sciences (Basel, Switzerland) · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Central nervous system metastases involving the brain parenchyma and leptomeninges are common in non-small cell lung cancer, especially cases with
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.