ArticleCancer management and research2018
Nomogram application to predict overall and cancer-specific survival in osteosarcoma.
Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed.
- A Web-Based Prediction Model for Overall Survival of Elderly Patients With Malignant Bone Tumors: A Population-Based Study.Frontiers in public health · 2021Trial
- Prognostic utility of systemic immune-inflammation markers in locally advanced cervical cancer undergoing radical radiotherapy.The oncologist · 2026Article
- A predictive model to identify optimal candidates for surgery among patients with metastatic colorectal cancer.Frontiers in oncology · 2025Article
- Survival analysis and prognostic model establishment of secondary osteosarcoma: a SEER-based study.Annals of medicine and surgery (2012) · 2024Article
- Integrative transcriptome analysis identifies MYBL2 as a poor prognosis marker for osteosarcoma and a pan-cancer marker of immune infiltration.Genes & diseases · 2024Article
- Establishment and validation of a competitive risk model for predicting cancer-specific survival in patients with osteosarcoma: a population-based study.Journal of cancer research and clinical oncology · 2023Article
- Long non-coding HOXA-AS3 contributes to osteosarcoma progression through the miR-1286/TEAD1 axis.Journal of orthopaedic surgery and research · 2023Article
- Predicting metastasis at initial diagnosis and radiotherapy effectiveness in patients with metastatic osteosarcoma.Journal of cancer research and clinical oncology · 2023Article
- Development and validation of a nomogram to predict long-term cancer-specific survival for patients with osteosarcoma.Scientific reports · 2023Article
- Prognostic analysis and clinical characteristics of osteosarcoma and Ewing sarcoma of the rib, sternum, and clavicle: a SEER-based study.The Journal of international medical research · 2023Article
- Establishment and validation of systematic prognostic nomograms in patients over 60 years of age with osteosarcoma: A multicenter external verification study.Cancer medicine · 2023Article
- The application of clinical variable-based nomogram in predicting overall survival in malignant phyllodes tumors of the breast.Frontiers in genetics · 2023Article
- Survival nomogram for osteosarcoma patients: SEER data retrospective analysis with external validation.American journal of cancer research · 2023Article
- LINC01140 regulates osteosarcoma proliferation and invasion by targeting the miR-139-5p/HOXA9 axis.Biochemistry and biophysics reports · 2022Article
- Comparison of nomogram and machine-learning methods for predicting the survival of non-small cell lung cancer patients.Cancer innovation · 2022Article
- Knockdown of lncRNA LINC00662 suppresses malignant behaviour of osteosarcoma cells via competition with miR-30b-3p to regulate ELK1 expression.Journal of orthopaedic surgery and research · 2022Article
- Risk stratification system and web-based nomogram constructed for predicting the overall survival of primary osteosarcoma patients after surgical resection.Frontiers in public health · 2022Article
- Predictive models for the risk and prognosis of bone metastasis in patients with newly-diagnosed esophageal cancer: A retrospective cohort study.Frontiers in surgery · 2022Article
- Development of an immune-related prognostic index associated with osteosarcoma.Bioengineered · 2021Article
- Construction and validation of nomogram to predict distant metastasis in osteosarcoma: a retrospective study.Journal of orthopaedic surgery and research · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
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Abstract
purposeA prognostic nomogram was applied to predict survival in osteosarcoma patients. PATIENTS AND
methodsData collected from 2,195 osteosarcoma patients in the Surveillance, Epidemiology, and End Results (SEER) database between 1983 and 2014 were analyzed. Independent prognostic factors were identified via univariate and multivariate Cox analyses. These were incorporated into a nomogram to predict 3- and 5-year overall survival (OS) and cancer-specific survival (CSS) rates. Internal and external data were used for validation. Concordance indices (C-indices) were used to estimate nomogram accuracy.
resultsPatients were randomly assigned into a training cohort (n=1,098) or validation cohort (n=1,097). Age at diagnosis, tumor site, histology, tumor size, tumor stage, use of surgery, and tumor grade were identified as independent prognostic factors via univariate and multivariate Cox analyses (all
conclusionNomograms were constructed to predict OS and CSS for osteosarcoma patients in the SEER database. They provide accurate and individualized survival prediction.
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