Evidence map›Paper›PMID 41531790›Full record

ArticleAging medicine (Milton (N.S.W))2025

Prognostic Analysis of Lung Cancer With Brain Metastases in Elderly Patients: A Multicenter Retrospective Study.

Anqi Li, Daqin Feng, Chang Liu, Chaojue Huang, Tang Li, Donggui Wei, Fangyi Wei, Muling Shen, Congzhi Qin, Shufang Deng and 5 more

Registry-linked trialAbstract read
In one paragraph

Article in Aging medicine (Milton (N.S.W)), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05609162 (Effects of Local and Systemic Treatments in Brain Metastases With Poor Prognostic Factors), which is not on this map. Not yet cited in PubMed.

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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.

NCT05609162 unknown statusnot on this map

Effects of Local and Systemic Treatments in Brain Metastases With Poor Prognostic Factors: Multicenter Retrospective Study

TypeobservationalSponsorSun Yat-sen UniversityRan2022 to 2024Enrolled2,000ConditionsBrain MetastasesArmsneurosurgical resection
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

15 authors.

Anqi LiDepartment of Neurosurgery, The First Affiliated Hospital Guangxi Medical University Nanning China.ORCID https://orcid.org/0009-0009-3401-7461
Daqin FengDepartment of Neurosurgery, The First Affiliated Hospital Guangxi Medical University Nanning China.
Chang LiuDepartment of Neurosurgery, The First Affiliated Hospital Guangxi Medical University Nanning China.
Chaojue HuangDepartment of Neurosurgery, The First Affiliated Hospital Guangxi Medical University Nanning China.
Tang LiDepartment of Neurosurgery, The First Affiliated Hospital Guangxi Medical University Nanning China.
Donggui WeiDepartment of Neurosurgery, The First Affiliated Hospital Guangxi Medical University Nanning China.
Fangyi WeiDepartment of Neurosurgery, The First Affiliated Hospital Guangxi Medical University Nanning China.
Muling ShenDepartment of Neurosurgery, The First Affiliated Hospital Guangxi Medical University Nanning China.
Congzhi QinDepartment of Neurosurgery, The First Affiliated Hospital Guangxi Medical University Nanning China.
Shufang DengDepartment of Neurosurgery, The First Affiliated Hospital Guangxi Medical University Nanning China.
Hui LiangDepartment of Neurosurgery, The First Affiliated Hospital Guangxi Medical University Nanning China.
Panlin MoDepartment of Neurosurgery, The First Affiliated Hospital Guangxi Medical University Nanning China.
Minhai DongDepartment of Neurosurgery, The First Affiliated Hospital Guangxi Medical University Nanning China.
Yongjia YuDepartment of Neurosurgery, The First Affiliated Hospital Guangxi Medical University Nanning China.
Lun LiangDepartment of Neurosurgery, The First Affiliated Hospital Guangxi Medical University Nanning China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To explore the prognostic factors affecting overall survival (OS) in patients aged ≥ 65 years with lung cancer BMs. Methods: In this multicenter retrospective study, 293 patients aged ≥ 65 years diagnosed with lung cancer BMs between 2010 and 2023 were included. We analyzed the correlation between clinical information, treatment methods, molecular data, and OS. Univariate and multivariate Cox regression models were used to identify risk factors, and Kaplan-Meier survival curves were constructed for analysis. Results: A total of 293 patients aged ≥ 65 years with lung cancer BMs were included (age mean [SD], 69.40 [4.04] years). Univariate analysis of 293 lung cancer patients aged ≥ 65 years with BMs showed that risk prognostic factors included pathological type (SCLC, hazard ratio [HR] = 2.221, 95% confidence interval [CI] = 1.531-3.224, Conclusions: Pathological type, KPS, and targeted therapy significantly impact OS in elderly lung cancer BM patients. Targeted therapy may be a promising option for improving prognosis in this patient population. Trial Registration: ClinicalTrials.gov identifier: NCT05609162.

Indexed as

brain metastasislung cancermulticenterprognosis analysis

Identifiers

PMID41531790
PMCPMC12793065

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