Evidence map›Paper›PMID 41216781›Full record

ArticleThe clinical respiratory journal2025

Distant Metastatic Pattern and Its Prognostic Significance in Malignant Pleural Mesothelioma: A Population-Based Study Based on a Machine Learning Model.

Jian Yu, Chi Peng, Qianwen Ye, Cong Huo, Binrui Gao, Qing Wei, Yibo Li, Kaidi Yang

Abstract read
In one paragraph

Article in The clinical respiratory journal, 2025. 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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jian YuDepartment of Health Statistics, Naval Medical University, Shanghai, China.
Chi PengDepartment of Health Statistics, Naval Medical University, Shanghai, China.
Qianwen YeDepartment of Oncology, Hainan Hospital of Chinese People's Liberation Army General Hospital, Sanya, Hainan Province, China.
Cong HuoDepartment of Respiratory, Hainan Hospital of Chinese People's Liberation Army General Hospital, Sanya, Hainan Province, China.
Binrui GaoDepartment of Respiratory, Hainan Hospital of Chinese People's Liberation Army General Hospital, Sanya, Hainan Province, China.
Qing WeiDepartment of Health Statistics, Naval Medical University, Shanghai, China.
Yibo LiDepartment of Orthopedics, Central war Zone General Hospital, Wuhan, Hubei, China.
Kaidi YangDepartment of Oncology, Hainan Hospital of Chinese People's Liberation Army General Hospital, Sanya, Hainan Province, China.ORCID https://orcid.org/0000-0003-3297-0266

Funding

Natural Science Foundation of Hainan Province 825QN580
6 · The paper itself

Abstract

backgroundMalignant pleural mesothelioma (MPM) is an insidious and aggressive tumor, often hindering timely clinical interventions. Despite its clinical relevance, epidemiological research focusing on MPM metastases remains limited.

methodsWe conducted a retrospective review of MPM cases with site-specific metastasis records from the Surveillance, Epidemiology, and End Results (SEER) between 2010 and 2019. Propensity Score Matching was employed to minimize bias between distant metastasis and non-distant metastasis groups. A prognostic model for predicting overall survival was established using clinical variables derived from Lasso regression. Variable importance for survival outcomes was estimated using the Random Survival Forests algorithm. The performance of the nomogram was evaluated using the receiver operating characteristic (ROC) curves and calibration plots.

resultsThe presence of distant metastasis significantly reduced median overall survival from 10.5 to 7 months, with further detriment observed in cases with sarcomatoid histology and without chemotherapy intervention. Multivariable analysis identified sarcomatoid subtype, T4 stage, N1+ nodal involvement, and bilateral disease as significant predictors of increased metastatic potential. Histology, surgery, and metastasis status emerged as the top three clinical variables influencing survival. The nomogram demonstrated strong discrimination and calibration for predicting the 1-year and 3-year overall survival in both training and validation cohorts. The contralateral lung was the most frequent site of distant metastasis, with lymph node metastasis presenting a significantly better prognosis than that observed in patients with metastases to other organs.

conclusionsThe large population-based analysis provides a comprehensive characterization of site-specific metastases in MPM. The identified risk factors can help stratify patients at higher risk for metastatic progression and support early, targeted clinical decision-making.

Indexed as

Lung NeoplasmsMachine LearningMesothelioma, MalignantPleural NeoplasmsAgedFemaleHumansLymphatic MetastasisMaleMiddle AgedNeoplasm MetastasisNeoplasm StagingNomogramsPrognosisRetrospective StudiesROC Curvedistant metastasismalignant pleural mesotheliomaoverall survivalprognostic modelretrospective study

Identifiers

PMID41216781
PMCPMC12603624

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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.