ArticleJournal for immunotherapy of cancer2020
A nomogram for predicting mortality in patients with COVID-19 and solid tumors: a multicenter retrospective cohort study.
Article in Journal for immunotherapy of cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 5 of them syntheses that pooled it.
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Who cites it
23 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- The lung immune prognostic index as a predictive biomarker in urological malignancies undergoing immune checkpoint inhibitor therapy.Annals of medicine · 2025Pooled it
- Pooled it
- Mortality in adult patients with solid or hematological malignancies and SARS-CoV-2 infection with a specific focus on lung and breast cancers: A systematic review and meta-analysis.Critical reviews in oncology/hematology · 2021Pooled it
- The effect of anticancer treatment on cancer patients with COVID-19: A systematic review and meta-analysis.Cancer medicine · 2021Pooled it
- The Prediction Potential of the Pretreatment Lung Immune Prognostic Index for the Therapeutic Outcomes of Immune Checkpoint Inhibitors in Patients With Solid Cancer: A Systematic Review and Meta-Analysis.Frontiers in oncology · 2021Pooled it
- Analysis of the Efficacy of Red Blood Cell Transfusion in Very Low Birth Weight Infants and Construction of a Prediction Model.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2026Article
- Nomogram for the Therapeutic Efficacy of Apheresis Platelet Transfusion in Hematologic Patients.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2025Article
- Association of lung immune prognostic index with overall survival in pancreatic ductal adenocarcinoma patients treated using chemotherapy.International journal of medical sciences · 2025Article
- Association of the derived neutrophil-to-lymphocyte ratio with cardiovascular and all-cause mortality.PloS one · 2025Article
- Development and Validation of Nomograms for Predicting Pneumonia in Patients with COVID-19 and Lung Cancer.Journal of inflammation research · 2024Article
- Development and validation of the CAIL prognostic score in non-small cell lung cancer patients with malignant pleural effusion.The clinical respiratory journal · 2023Article
- The Inflammatory Profile Correlates with COVID-19 Severity and Mortality in Cancer Patients.Journal of personalized medicine · 2023Article
- Impact of coronavirus disease 2019 on lung cancer patients: A meta-analysis.Translational oncology · 2023Article
- A Nomogram for Early Diagnosis of Community-Acquired Pneumonia Based on Bronchoalveolar Lavage Fluid Metabolomics.Infection and drug resistance · 2023Article
- The Risk Factors for Cervical Cytological Abnormalities Among Women Infected With Non-16/18 High-Risk Human Papillomavirus: Cross-sectional Study.JMIR public health and surveillance · 2022Article
- Predicting progression to severe COVID-19 using the PAINT score.BMC infectious diseases · 2022Article
- Outcomes of Breast Cancer Patients Treated with Chemotherapy, Biologic Therapy, Endocrine Therapy, or Active Surveillance During the COVID-19 Pandemic.The oncologist · 2022Article
- Evaluation of clinical outcomes, laboratory and imaging data of patients with solid tumor infected with COVID-19 infection.International journal of biochemistry and molecular biology · 2022Article
- The derived neutrophil to lymphocyte ratio can be the predictor of prognosis for COVID-19 Omicron BA.2 infected patients.Frontiers in immunology · 2022Article
- Impact of antitumor regimens on the outcomes of cancer patients with COVID-19: a pooled analysis.Journal of Zhejiang University. Science. B · 2021Article
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIndividualized prediction of mortality risk can inform the treatment strategy for patients with COVID-19 and solid tumors and potentially improve patient outcomes. We aimed to develop a nomogram for predicting in-hospital mortality of patients with COVID-19 with solid tumors.
methodsWe enrolled patients with COVID-19 with solid tumors admitted to 32 hospitals in China between December 17, 2020, and March 18, 2020. A multivariate logistic regression model was constructed via stepwise regression analysis, and a nomogram was subsequently developed based on the fitted multivariate logistic regression model. Discrimination and calibration of the nomogram were evaluated by estimating the area under the receiver operator characteristic curve (AUC) for the model and by bootstrap resampling, a Hosmer-Lemeshow test, and visual inspection of the calibration curve.
resultsThere were 216 patients with COVID-19 with solid tumors included in the present study, of whom 37 (17%) died and the other 179 all recovered from COVID-19 and were discharged. The median age of the enrolled patients was 63.0 years and 113 (52.3%) were men. Multivariate logistic regression revealed that increasing age (OR=1.08, 95% CI 1.00 to 1.16), receipt of antitumor treatment within 3 months before COVID-19 (OR=28.65, 95% CI 3.54 to 231.97), peripheral white blood cell (WBC) count ≥6.93 ×10
conclusionIncreasing age, receipt of antitumor treatment within 3 months before COVID-19 diagnosis, elevated WBC count and dNLR, and having dyspnea on admission were independent risk factors for mortality among patients with COVID-19 and solid tumors. The nomogram based on these factors accurately predicted mortality risk for individual patients.
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