Nomogram for Predicting Postoperative Cardiopulmonary Complications in Non-Small Cell Lung Cancer Based on Systemic Inflammatory Markers: A Retrospective Study

The present study successfully developed and validated a predictive model based on systemic inflammatory markers to assess the risk of postoperative cardiopulmonary complications in patients with small cell lung cancer. This model assists clinicians in accurately assessing patients' risk of postoperative cardiovascular and pulmonary complications, thereby promoting personalized patient management.

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Publication Details

Journal
Journal of Inflammation Research
Published
2025-07-01
DOI
https://doi.org/10.2147/jir.s519449
Citations
1
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.52
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article

Nomogram for Predicting Postoperative Cardiopulmonary Complications in Non-Small Cell Lung Cancer Based on Systemic Inflammatory Markers: A Retrospective Study

Keting Liu, Qiang Wei, Zemin He, Ling Wu
1 citations
Journal of Inflammation Research
Lung Cancer Diagnosis and Treatment
1.52
article

Nomogram for Predicting Postoperative Cardiopulmonary Complications in Non-Small Cell Lung Cancer Based on Systemic Inflammatory Markers: A Retrospective Study

Keting Liu, Qiang Wei, Zemin He, Ling Wu
article en
1 citations

Abstract

The present study successfully developed and validated a predictive model based on systemic inflammatory markers to assess the risk of postoperative cardiopulmonary complications in patients with small cell lung cancer. This model assists clinicians in accurately assessing patients' risk of postoperative cardiovascular and pulmonary complications, thereby promoting personalized patient management.

Journal of Inflammation ResearchVol. Volume 18
Sichuan University (CN), Fourth People's Hospital of Sichuan Province (CN)
Good health and well-being
Openalex Percentile: Top 16%
Lung Cancer Diagnosis and Treatment
1.52
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