ArticleCancer management and research2021
Development and Internal Validation of a Nomogram Used to Predict Chemotherapy-Induced Neutropenia in Non-Small Cell Lung Cancer Patients: A Retrospective Cohort Study.
Article in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Development and validation of a nomogram for predicting grade 4 neutropenia in patients with breast cancer undergoing anthracycline-based chemotherapy.American journal of translational research · 2026Article
- Development and validation of a machine learning-based prediction model for anemia risk in patients with primary lung cancer receiving platinum-based chemotherapy: a multicenter study.Frontiers in oncology · 2026Article
- Prevalence and risks of intravenous chemotherapy-induced severe neutropenia in solid cancers: a multicenter retrospective cohort study on real-life data.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Nomogram prediction model of postoperative pneumonia in patients with lung cancer: A retrospective cohort study.Frontiers in oncology · 2023Article
- Development and Validation of Nomogram Prediction Model for Postoperative Sleep Disturbance in Patients Undergoing Non-Cardiac Surgery: A Prospective Cohort Study.Nature and science of sleep · 2021Article
- NUTRISCORE: A Novel Nutrition-Based Nomogram to Predict Severe Neutropenia After Adjuvant Chemotherapy in Gastric Cancer.Integrative cancer therapiesArticle
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study was designed to develop a nomogram for predicting neutropenia caused by chemotherapy in non-small cell lung cancer (NSCLC) patients. PATIENTS AND
methodsInformation was collected from 376 patients between November 2017 and November 2020. The endpoint was chemotherapy-induced neutropenia (absolute neutrophil count <2×10
resultsThe multivariate regression model ultimately included three predictors: previous radiotherapy, the current cycle of chemotherapy and neutrophil counts before current chemotherapy. A nomogram was developed and displayed better discrimination (with C-index of 0.875 in the development group and 0.907 in the validation group). Favorable consistency was shown between predicted probability and observed probability in the calibration curves. DCA illustrated that when the threshold probability was 8%-90%, the predictive model provided a net benefit relative to the intervention-all or the intervention-none strategy, indicating that the nomogram had favorable potential clinical utility.
conclusionThis nomogram will be an available tool to quantify the risk of neutropenia after chemotherapy in patients who suffer from NSCLC and deserves further external validation.
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