Evidence map›Paper›PMID 33194635›Full record

ArticleFrontiers in oncology2020

Evaluation of the Effect of Lymph Node Status on the Survival of Non-Small Cell Lung Cancer Patients With Brain Metastases: Applications of a Novel Grade Prognostic Assessment Score Model Involving N Stage.

Jianfei Zhu, Wuping Wang, Shuonan Xu, Chenghui Jia, Qingqing Zhang, Yanmin Xia, Wenchen Wang, Miaomiao Wen, Xuejiao Wang, Hongtao Wang and 4 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

14 authors.

Jianfei ZhuDepartment of Thoracic Surgery, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, China.
Wuping WangDepartment of Thoracic Surgery, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, China.
Shuonan XuDepartment of Thoracic Surgery, Shaanxi Provincial People's Hospital, Xi'an, China.
Chenghui JiaDepartment of Thoracic Surgery, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, China.
Qingqing ZhangDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xi'an Medical University, Xi'an, China.
Yanmin XiaDepartment of Thoracic Surgery, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, China.
Wenchen WangDepartment of Thoracic Surgery, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, China.
Miaomiao WenDepartment of Thoracic Surgery, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, China.
Xuejiao WangDepartment of Thoracic Surgery, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, China.
Hongtao WangDepartment of Thoracic Surgery, Shaanxi Provincial People's Hospital, Xi'an, China.
Zhipei ZhangDepartment of Thoracic Surgery, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, China.
Ling CaiDepartment of Radiation Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Lanjun ZhangDepartment of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Tao JiangDepartment of Thoracic Surgery, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGrade prognostic assessment (GPA) is widely used to evaluate the prognosis of non-small cell lung cancer (NSCLC) patients with brain metastases (BMs). This study aimed to investigate whether lymph node status (LNS) could be included as one of the GPA variables for NSCLC with BMs.

methodsOverall, 586 patients with NSCLC and BMs were retrospectively analyzed. Overall survival stratified by LNS was analyzed using the Kaplan-Meier method. Multivariate analysis was also performed to identify independent prognostic factors using the Cox proportional hazards progression model. In the updated GPA index, prognostic factors and criteria of GPA score were weighted by effect magnitude relative risk (RR) and statistical significance.

resultsIn NSCLC patients with BMs, those with lymph node involvement had worse overall survival (mOS, 13.4 months vs. 25.9 months, P <0.001) than those without lymph node involvement. Multivariate analysis showed that LNS might be an independent prognostic factor (RR: 1.702, CI: 1.340-2.162, P <0.001). Finally, five prognostic factors including LNS, the age of the patient, Karnofsky performance status (KPS), the number of BMs, and extracranial metastases were enrolled in our novel GPA index. With the updated GPA index involving the N stage, survival analysis was also performed. Prognostic results were significantly different among these four subgroups (Class A vs. Class B, P=0.047; Class B vs. Class C, P<0.001; Class C vs. Class D, P=0.007).

conclusionsThese results indicate that LNS might be an indispensable prognostic factor in NSCLC with BM. The novel GPA model involving the N stage could provide more reliable evidence to estimate the survival of NSCLC patients with BMs.

Indexed as

brain metastasesgrade prognostic assessmentnon-small cell lung cancerN stageprognostic factor

Identifiers

PMID33194635
PMCPMC7604417

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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.