Evidence map›Paper›PMID 42582050›Full record

ReviewFrontiers in oncology2026

Management of brain metastases in older adults with non-small cell lung cancer.

Julia Belone Lopes, Daniel Schep, Arjun Sahgal, Rodrigo F Rodrigues, Ines B Menjak

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Julia Belone LopesDivision of Medical Oncology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
Daniel SchepDivision of Radiation Oncology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
Arjun SahgalDivision of Radiation Oncology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
Rodrigo F RodriguesDivision of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada.
Ines B MenjakDivision of Medical Oncology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain metastases (BrM) are a major cause of morbidity in patients with non-small-cell lung cancer (NSCLC). As global populations age and systemic therapies improve survival, the number of older individuals presenting with BrM continues to rise. However, older adults remain underrepresented in clinical trials. Thus, treatment decisions in this population are often based on limited evidence from randomized prospective studies. Beyond chronological age, older adults with cancer frequently present with multiple comorbidities, frailty, baseline cognitive impairment, and reduced physiologic reserve. These factors may contribute to suboptimal treatment in clinical practice and highlight that age alone is an insufficient surrogate for vulnerability, underscoring the need for individualized geriatric assessment. In this review, we summarize the available evidence for CNS-directed and systemic therapies in older patients with NSCLC and BrM, discuss the options for local and systemic treatment strategies, and examine how geriatric assessment tools can inform individualized treatment decisions in this underrepresented population.

Indexed as

brain metastasesgeriatric oncologylung cancerNSCLColder adults

Identifiers

PMID42582050
PMCPMC13457039

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.