Evidence map›Paper›PMID 41523252›Full record

ArticleAmerican journal of cancer research2025

Factors associated with survival in patients with spinal metastases from lung cancer.

Wenjia Xia, Ming Li, Youtao Xu, Lin Xu

Abstract read
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Article in American journal of cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Wenjia XiaThoracic Surgery Department, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University Nanjing 210018, Jiangsu, China.
Ming LiThoracic Surgery Department, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University Nanjing 210018, Jiangsu, China.
Youtao XuThoracic Surgery Department, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University Nanjing 210018, Jiangsu, China.
Lin XuThoracic Surgery Department, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University Nanjing 210018, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spine is a common site for metastases in lung cancer. Precise identification of factors associated with survival and reliable prediction of prognosis are essential for clinical decision-making in patients with spinal metastasis from lung cancer. A retrospective analysis was conducted on 148 lung cancer patients with spinal metastases between January 2018 and December 2020 to identify prognostic factors and develop a nomogram for predicting survival outcomes. Another 30 patients with spinal metastases due to lung cancer, treated between January 2021 and February 2022, served as an external validation cohort to assess the nomogram's predictive performance. Multivariate analysis identified Karnofsky Performance Status (KPS) score, carbohydrate antigen 125 (CA125), radiotherapy, chemotherapy, and targeted therapy as independent prognostic factors. The nomogram achieved a concordance index of 0.713. The AUCs for the nomogram in predicting 1-, 2-, and 3-year survival were 0.834, 0.750, and 0.733 in the training set; 0.803, 0.738, and 0.713 in the internal validation set; and 0.749, 0.738, and 0.729 in the external validation set. Calibration curves showed good agreement between predicted and observed outcomes. Compared with the modified Tokuhashi and Tomita scores, the nomogram demonstrated superior predictive accuracy and provided greater net clinical benefit in decision curve analysis, indicating good clinical utility. This model may aid individualized prognosis assessment and treatment planning in lung cancer patients with spinal metastases.

Indexed as

Lung cancerpredictive modelprognostic factorsspinal metastasessurvival analysis

Identifiers

PMID41523252
PMCPMC12789921

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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.