Evidence map›Paper›PMID 39669101›Full record

ArticleClinical Medicine Insights. Oncology2024

Prognostic Factors in Postoperative Brain Metastases Derive From Non-small Cell Lung Cancer: A Retrospective Analysis.

Haibin Chen, Liang Sun, Zhi Yang, Yuanyuan Qu, Nanyang Tong, Caixing Sun, Liang Xia

Abstract read
In one paragraph

Article in Clinical Medicine Insights. Oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Haibin ChenPostgraduate Training Base Alliance of Wenzhou Medical University (PTBAWMU), Wenzhou, China.
Liang SunPostgraduate Training Base Alliance of Wenzhou Medical University (PTBAWMU), Wenzhou, China.
Zhi YangPostgraduate Training Base Alliance of Wenzhou Medical University (PTBAWMU), Wenzhou, China.
Yuanyuan QuPostgraduate Training Base Alliance of Wenzhou Medical University (PTBAWMU), Wenzhou, China.
Nanyang TongPostgraduate Training Base Alliance of Wenzhou Medical University (PTBAWMU), Wenzhou, China.
Caixing SunPostgraduate Training Base Alliance of Wenzhou Medical University (PTBAWMU), Wenzhou, China.
Liang XiaPostgraduate Training Base Alliance of Wenzhou Medical University (PTBAWMU), Wenzhou, China.ORCID https://orcid.org/0000-0002-1899-1653

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Brain metastases are crucial in cancer progression, requiring focused efforts on the screening, early detection, and treatment. However, accurate forecasting the postoperative prognosis of patients with non-small cell lung cancer brain metastasis remains a challenge. This retrospective study aims to discern the factors that influence the prognosis of such patients. Methods: A total of 151 cases from Zhejiang Cancer Hospital were collected. Univariate analysis was conducted using Kaplan-Meier and Log-rank test, while multivariate analysis was performed using Cox proportional hazards regression model. Student's t-test and chi-square test were employed to examine the differences between the long-term survival and the short-term survival groups. Ultimately, a predictive model was constructed using R 4.2.1. Results: Univariate analysis identified 12 factors as prognostic factors, showing statistical significance. In multivariate analysis, the primary contributing factors to survival were identified as age, chemotherapy of brain metastases, pathology, surgery of nonsmall cell lung cancer, targeted drugs, and GPA score. Comparing long-term and short-term groups, age, pathology, surgery of lung, targeted therapy, and radiotherapy of brain metastases were statistically differentiating factors. Based on multivariate analysis, we established a clinical predictive model predicting 2-year, 3-year, and 5-year survival rates. Conclusion: Younger age, receiving chemotherapy for brain metastases, adenocarcinoma pathology, lung cancer surgery, targeted therapy, and a high GPA score are associated with longer survival. This model predicts the survival period for patients with non-small cell lung cancer brain metastasis after surgery and helps in selecting more effective treatment plans.

Indexed as

Brain metastasesnon-small cell lung cancerpostoperativepredictive model

Identifiers

PMID39669101
PMCPMC11635853

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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.