ArticleJournal of translational medicine2020
Nomograms to predict 2-year overall survival and advanced schistosomiasis-specific survival after discharge: a competing risk analysis.
Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Prognostic determinants and mortality risk of advanced schistosomiasis revealed by Lasso-Cox regression integrative approach.PLoS neglected tropical diseases · 2026Article
- A model predicting the 6-year all cause mortality of patients with advanced schistosomiasis after discharge: Derived from a large population-based cohort study.PLoS neglected tropical diseases · 2025Article
- Prognostic Factors and Nomogram forInfection and drug resistance · 2025Article
- Single-cell RNA sequencing reveals a peripheral landscape of immune cells in Schistosomiasis japonica.Parasites & vectors · 2023Article
- A Nomogram for Predicting Prognosis of AdvancedTropical medicine and infectious disease · 2023Article
- Development and validation of mathematical nomogram for predicting the risk of poor sleep quality among medical students.Frontiers in neuroscience · 2022Article
- Establishment and Validation of a Predictive Nomogram for Postoperative Survival of Stage I Non-Small Cell Lung Cancer.International journal of general medicine · 2022Article
- Development and Validation of 3-Month Major Post-Stroke Depression Prediction Nomogram After Acute Ischemic Stroke Onset.Clinical interventions in aging · 2021Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe prognosis of patients with advanced schistosomiasis is poor. Pre-existing prognosis studies did not differentiate the causes of the deaths. The objectives were to evaluate the 2-year overall survival (OS) and advanced schistosomiasis-specific survival (ASS) in patients with advanced schistosomiasis after discharge through competing risk analysis and to build predictive nomograms.
methodsData was extracted from a previously constructed database from Hubei province. Patients were enrolled from September 2014 to January 2015, with follow up to January 2017. OS and ASS were primary outcome measures. Nomograms for estimating 2-year OS and ASS rates after discharge were established based on univariate and multivariate Cox regression model and Fine and Gray's model. Their predictive performances were evaluated using C-index and validated in both internal and external validation cohorts.
resultsThe training cohort included 1487 patients with advanced schistosomiasis. Two-year mortality rate of the training cohort was 8.27% (123/1487). Competing events accounted for 26.83% (33/123). Older age, splemomegaly clinical classification, abnormal serum DBil, AST, ALP and positive HBsAg were significantly associated with 2-year OS. Older age, splemomegaly clinical classification, abnormal serum AST, ALP and positive HBsAg were significantly associated with 2-year ASS. The established nomograms were well calibrated, and had good discriminative ability, with a C-index of 0.813 (95% CI 0.803-0.823) for 2-year OS prediction and 0.834 (95% CI 0.824-0.844) for 2-year ASS prediction. Their predictive performances were well validated in both internal and external validation cohorts.
conclusionThe effective predictors of 2-year OS and ASS were discovered through competing risk analysis. The nomograms could be used as convenient predictive tools in clinical practice to guide follow-up and aid accurate prognostic assessment.
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