ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2018
Development of a simplified multivariable model to predict neutropenic complications in cancer patients undergoing chemotherapy.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Risk prediction models based on hematological/body parameters for chemotherapy-induced adverse effects in Chinese colorectal cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021Trial
- Parallel Toxicities: A Comparative Analysis of Chemotherapy-Induced Neutropenia and Alopecia.Cancers · 2025Review
- A nomogram for predicting the risk of chemoradiotherapy-associated thrombocytopenia in patients with esophageal cancer: a real-world cohort study.Therapeutic advances in medical oncology · 2025Article
- Clinical decision support for chemotherapy-induced neutropenia using a hybrid pharmacodynamic/machine learning model.CPT: pharmacometrics & systems pharmacology · 2023Article
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- Afebrile chemotherapy-induced neutropenia: an international survey spots oncologists' routine clinical practice versus the standard of care and the impact of COVID-19.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022Article
- Validation of the FENCE Risk Groups for Prediction of Febrile Neutropenia With First-Cycle Chemotherapy.JNCI cancer spectrum · 2022Article
- [Determination of some oxidative stress, functional and immunological markers in the saliva of patients undergoing bone marrow transplantation (BMT).]Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina) · 2021Observational
- Risk Factors for Infections, Antibiotic Therapy, and Its Impact on Cancer Therapy Outcomes for Patients with Solid Tumors.Life (Basel, Switzerland) · 2021Review
- Risk factors for severe neutropenia in pancreatic cancer patients treated with gemcitabine/nab-paclitaxel combination therapy.PloS one · 2021Article
- Predictors of chemotherapy-induced severe anemia in cancer patients receiving chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020Observational
- The vertebral 3'-deoxy-3'-European radiology · 2019Article
- Body composition as a predictor of toxicity after treatment with eribulin for advanced soft tissue sarcoma.International journal of clinical oncology · 2019Article
- Development and Validation of a Risk Score for Febrile Neutropenia After Chemotherapy in Patients With Cancer: The FENCE Score.JNCI cancer spectrum · 2018Article
- Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients.Integrative cancer therapiesArticle
- 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
3 authors.
Funding
Abstract
purposeNeutropenic complications remain the major dose-limiting toxicities of cancer chemotherapy. The aim of this study was to develop and internally validate a comprehensive and easily measurable scoring system for prediction of severe or febrile neutropenia in the first chemotherapy cycle of patients with solid tumors or lymphoma.
methodsThis prospective cohort study included consecutive patients at a tertiary referral hospital. Many clinical and laboratory-independent variables were measured at baseline. A multivariable logistic regression analysis was applied after unadjusted analysis, and the multivariable model was transformed into a simplified risk score based on 6 bootstrapped regression coefficients. The simplified scoring system was internally validated using cross-validation. All statistical tests were two-sided.
resultsA total of 305 patients were enrolled and followed during 1732 chemotherapy cycles. Of these, 259 were eligible for analysis. The multivariable model revealed 6 predictive factors for severe or febrile neutropenia (scores in parentheses): high-risk regimen without colony-stimulating factor (4 points), intermediate-risk regimen without colony-stimulating factor (3 points), age > 65 years and elevated ferritin (3 points), body mass index < 23 kg/m
conclusionsWe developed and internally validated a user-friendly prediction model to guide personalized decision-making using available clinical data and few cost-effective laboratory tests. External validation in other centers with different patients is required.
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