Observational studyMedicine2016
Comparison of Elixhauser and Charlson Methods for Predicting Oral Cancer Survival.
Observational study in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Temporal trends and risk factors of hospital readmission following deep brain stimulation for Parkinson disease.Parkinsonism & related disorders · 2026Article
- Health Outcomes of Older Adults in Long-Term Care Homes Following Hospitalization for Hip Fracture Surgery: A Retrospective Observational Cohort Study in Ontario, Canada.Geriatric orthopaedic surgery & rehabilitation · 2026Article
- Frailty and comorbidity burden independently predict higher healthcare costs and nonhome discharges after total shoulder arthroplasty.JSES international · 2025Article
- Racial and Ethnic Disparities in Ischemic Stroke Severity in the National Inpatient Sample Between 2018 and 2021.Stroke · 2025Article
- QUIET WARRIOR - Rationale and design: An ancillary study to the Women's IschemiA TRial to Reduce Events in Nonobstructive CAD (WARRIOR).American heart journal plus : cardiology research and practice · 2025Article
- Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data.JMIR public health and surveillance · 2024Article
- Burden of Neurologic Health Care and Incident Neurologic Diagnoses in the Year After COVID-19 or Influenza Hospitalization.Neurology · 2024Article
- Mechanical ventilation as a major driver of COVID-19 hospitalization costs: a costing study in a German setting.Health economics review · 2024Article
- Comparison of seven comorbidity scores on four-month survival of lung cancer patients.BMC medical research methodology · 2023Article
- The association of closed-collaborative SICU modeling on emergency general surgery patient outcomes.Surgery in practice and science · 2023Article
- A Comparison of the Charlson and Elixhauser Methods for Predicting Nursing Indicators in Gastrectomy with Gastric Cancer Patients.Healthcare (Basel, Switzerland) · 2023Article
- Article
- No survival benefit from adding chemotherapy to adjuvant radiation in advanced major salivary gland cancer.Scientific reports · 2022Article
- Neurofilament light chain and vaccination status associate with clinical outcomes in severe COVID-19.iScience · 2022Article
- Acute Ischemic Stroke Interventions in the United States and Racial, Socioeconomic, and Geographic Disparities.Neurology · 2021Article
- Investigating the "Weekend Effect" on Outcomes of Patients Undergoing Endovascular Mechanical Thrombectomy for Ischemic Stroke.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2021Article
- Article
- Characteristics and Outcomes Among US Patients Hospitalized for Ischemic Stroke Before vs During the COVID-19 Pandemic.JAMA network open · 2021Article
- Differences in the Predictive value of Elixhauser Comorbidity Index and the Charlson Comorbidity indices in patients with hand infections.Journal of clinical orthopaedics and trauma · 2021Article
- Performance of Charlson and Elixhauser Comorbidity Index to Predict in-Hospital Mortality in Patients with Stroke in Sumadija and Western Serbia.Iranian journal of public health · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer survival correlates not only with the features of primary malignancy but also with the degree of underlying comorbidities. Of the multiple methods used for evaluating the impact of comorbidities on survival, the Charlson and Elixhauser methods are most common. This study compared these 2 comorbidity measures for predicting survival in oral cancer patients. Using the Taiwan National Health Insurance claims data (2008-2011), we acquired data regarding patients' characteristics, comorbidities, and survival from 3583 oral cancer patients. Comorbidity was classified according to both the Charlson comorbidity and Elixhauser comorbidity based on the International Classification of Diseases, 9th Revision. The Elixhauser comorbidity score and Charlson comorbidity score were also calculated. The prediction of survival was determined using measures of discrimination, including the Akaike information criterion and Harrell C (C-statistic). The mean age of the study cohort was 52 ± 10 years, and 94.9% of the patients were male. The median follow-up time was 30.1 months, and the 3-year overall survival was 61.6%. Elixhauser comorbidity method added higher discrimination, compared with the Charlson comorbidity method (Harrell C, 0.677 vs 0.651). Furthermore, the Elixhauser comorbidity score outperformed the Charlson comorbidity score in continuous variable (Harrell C, 0.654 vs 0.646) and category (Harrell C, 0.658 vs 0.645). The Elixhauser method is a superior comorbidity risk-adjustment model for oral cancer survival prediction. Utilization of the Elixhauser comorbidity method may be encouraged for risk adjustment in oral cancer study.
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