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Cited by 406

The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.

Epidemiology of brain metastases and leptomeningeal disease

Open access
Lamba, Nayan, Wen, Patrick Y, Aizer, Ayal A·2021·Neuro-Oncology

Abstract

Brain metastases affect a significant percentage of patients with advanced extracranial malignancies. Yet, the incidence of brain metastases remains poorly described, largely due to limitations of population-based registries, a lack of mandated reporting of brain metastases to federal agencies, and historical difficulties with delineation of metastatic involvement of individual organs using claims data. However, in 2016, the Surveillance Epidemiology and End Results (SEER) program released data relating to the presence vs absence of brain metastases at diagnosis of oncologic disease. In 2020, studies demonstrating the viability of utilizing claims data for identifying the presence of brain metastases, date of diagnosis of intracranial involvement, and initial treatment approach for brain metastases were published, facilitating epidemiologic investigations of brain metastases on a population-based level. Accordingly, in this review, we discuss the incidence, clinical presentation, prognosis, and management patterns of patients with brain metastases. Leptomeningeal disease is also discussed. Considerations regarding individual tumor types that commonly metastasize to the brain are provided.

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Metadata

Authors
Lamba, N., Wen, P. Y., & Aizer, A. A.
Venue
Neuro-Oncology
Published
2021-04-28
Volume
23
Issue
9
Pages
1447-1456
ISSN
  • 1522-8517 (ISSN-L)
  • 1523-5866
OpenAlex
W3159719186
Cited by
406
References
83
FWCI
31.21
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Epidemiology of brain metastases and leptomeningeal disease. https://app.cochat.ai/papers/10.1093/neuonc/noab101
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Lamba, N., Wen, P. Y., & Aizer, A. A. (2021). Epidemiology of brain metastases and leptomeningeal disease. Neuro-Oncology. https://doi.org/10.1093/neuonc/noab101

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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