Evidence map›Paper›PMID 38478262›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2024

Bevacizumab improved prognosis for advanced EGFR-mutant lung adenocarcinoma with brain metastasis receiving cerebral radiotherapy.

Yuanliang Zhou, Jingchao Li, Yankang Li, Guangchuan Deng, Qi Wang, Hongyue Qin, Jianbin Li, Zhenxiang Li

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Yuanliang ZhouShandong First Medical University and Shandong Academy of Medical Sciences, Jinan, People's Republic of China.
Jingchao LiThe People's Hospital of Zhangqiu Area, Jinan, People's Republic of China.
Yankang LiShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, People's Republic of China.
Guangchuan DengShandong First Medical University and Shandong Academy of Medical Sciences, Jinan, People's Republic of China.
Qi WangShandong First Medical University and Shandong Academy of Medical Sciences, Jinan, People's Republic of China.
Hongyue QinShandong First Medical University and Shandong Academy of Medical Sciences, Jinan, People's Republic of China.
Jianbin LiShandong First Medical University and Shandong Academy of Medical Sciences, Jinan, People's Republic of China. lijianbin@msn.com.
Zhenxiang LiShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, People's Republic of China. Lizx0108@163.com.ORCID http://orcid.org/0000-0002-9648-8869
Shandong Tumor Hospital · CNZhangqiu City People's Hospital · CNShandong First Medical University · CN

Funding

National Natural Science Foundation of China 81902355Taishan Scholars Program of Shandong Province ts20190982
6 · The paper itself

Abstract

objectiveThis study aimed to determine whether the combined use of bevacizumab could improve overall survival (OS) in patients with brain metastasis (BM), epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC) undergoing cerebral radiotherapy. MATERIALS AND

methodsA total of 237 patients with EGFR-mutant lung adenocarcinoma and BM met the inclusion criteria for this retrospective study, including 102 patients in the bevacizumab treatment group and 135 in the non-bevacizumab group. The Kaplan-Meier method was used for survival analysis. Univariate and multivariate analyses were performed to identify EGFR-mutated BM prognostic factors for these patients.

resultsAt the end of the last follow-up period, 176 patients (74.3%) had died, and the median overall survival (OS) was 34.2 months. We observed a significant difference in the median OS between the bevacizumab and non-bevacizumab groups (45.8 months vs 30.0 months, P < 0.0001). Among the 178 (75.1%) patients who received cerebral radiotherapy, the median OS of patients in the bevacizumab + cerebral radiotherapy group was 45.8 months versus 32.0 months in the non-bevacizumab + cerebral radiotherapy group, respectively (P = 0.0007). Patients treated with bevacizumab after cerebral radiotherapy had a longer median OS than patients treated with bevacizumab before cerebral radiotherapy (59.4 months vs 33.7 months, P = 0.0198). In the univariate analysis, smoking status, Lung-molGPA scores, and bevacizumab therapy showed correlations (HR = 1.450, P = 0.045; HR = 0.700, P = 0.023; HR = 0.499, P < 0.001). Multivariate analysis showed that bevacizumab therapy alone (hazard ratio [HR] = 0.514; P < 0.001) was independently associated with improved OS.

conclusionIn patients with BM from EGFR-mutated NSCLC, cerebral radiotherapy with bevacizumab markedly improved OS. This improvement was more evident after cerebral radiotherapy.

Indexed as

Adenocarcinoma of LungBevacizumabBrain NeoplasmsErbB ReceptorsLung NeoplasmsMutationAdenocarcinomaAdultAgedAged, 80 and overAntineoplastic Agents, ImmunologicalCarcinoma, Non-Small-Cell LungCranial IrradiationFemaleFollow-Up StudiesHumansAntineoplastic Agents, ImmunologicalBevacizumabEGFR protein, humanErbB ReceptorsBevacizumabBrain metastasisCerebral radiotherapyNon-small cell lung cancerOverall survival

Identifiers

PMID38478262
PMCPMC11249594
OpenAlexW4392763808

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.