{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T16:00:12Z","timestamp":1775318412460,"version":"3.50.1"},"reference-count":36,"publisher":"BMJ","issue":"2","license":[{"start":{"date-parts":[[2020,9,4]],"date-time":"2020-09-04T00:00:00Z","timestamp":1599177600000},"content-version":"unspecified","delay-in-days":3,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81670144"],"award-info":[{"award-number":["81670144"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81973140"],"award-info":[{"award-number":["81973140"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["J Immunother Cancer"],"accepted":{"date-parts":[[2020,8,27]]},"published-print":{"date-parts":[[2020,9]]},"abstract":"<jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>Individualized 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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>We 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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>There 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%\u2009CI 3.54 to 231.97), peripheral white blood cell (WBC) count \u22656.93 \u00d710<jats:sup>9<\/jats:sup>\/L (OR=14.52, 95%\u2009CI 2.45 to 86.14), derived neutrophil-to-lymphocyte ratio (dNLR; neutrophil count\/(WBC count minus neutrophil count)) \u22654.19 (OR=18.99, 95%\u2009CI 3.58 to 100.65), and dyspnea on admission (OR=20.38, 95%\u2009CI 3.55 to 117.02) were associated with elevated mortality risk. The performance of the established nomogram was satisfactory, with an AUC of 0.953 (95% CI 0.908 to 0.997) for the model, non-significant findings on the Hosmer-Lemeshow test, and rough agreement between predicted and observed probabilities as suggested in calibration curves. The sensitivity and specificity of the model were 86.4% and 92.5%.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>Increasing 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.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1136\/jitc-2020-001314","type":"journal-article","created":{"date-parts":[[2020,9,7]],"date-time":"2020-09-07T03:35:28Z","timestamp":1599449728000},"page":"e001314","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":30,"title":["A nomogram for predicting mortality in patients with COVID-19 and solid tumors: a multicenter retrospective cohort study"],"prefix":"10.1136","volume":"8","author":[{"given":"Chao","family":"Liu","sequence":"first","affiliation":[{"name":"Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China"},{"name":"Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kehan","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Orthopaedic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi-Ying","family":"Zhan","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Yao","sequence":"additional","affiliation":[{"name":"Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyun","family":"Gong","sequence":"additional","affiliation":[{"name":"Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qun","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Oncology, The Fifth Hospital of Wuhan, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaorong","family":"Dong","sequence":"additional","affiliation":[{"name":"Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhibin","family":"Xie","sequence":"additional","affiliation":[{"name":"Department of Respiratory and Critical Care Medicine, Xiaogan Hospital Affiliated to Wuhan University of Science and Technology, Xiaogan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6866-7213","authenticated-orcid":false,"given":"Chun-Quan","family":"Ou","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinyong","family":"Hu","sequence":"additional","affiliation":[{"name":"Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qibin","family":"Song","sequence":"additional","affiliation":[{"name":"Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"239","published-online":{"date-parts":[[2020,9,6]]},"reference":[{"key":"2025100308561278000_8.2.e001314.1","unstructured":"World Health Organization . 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