ArticleEBioMedicine2019
Development and validation of a prognostic nomogram for HIV/AIDS patients who underwent antiretroviral therapy: Data from a China population-based cohort.
Article in EBioMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The predictive accuracy of machine learning for the risk of death in HIV patients: a systematic review and meta-analysis.BMC infectious diseases · 2024Pooled it
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- The predictive value of dyslipidemia for immune reconstitution outcome among HIV/AIDS patients after 24 months of viral suppression: a retrospective cohort study.BMC infectious diseases · 2026Article
- Developing and Validating an Inclusive and Cost-Effective Prediction Algorithm for Survival and Death Among People Living With HIV in Sub-Saharan Africa: Protocol for a Meta-Analysis and Case-Control and Cost-Effectiveness Study.JMIR research protocols · 2025Article
- Development and Spatial External Validation of a Predictive Model of Survival Based on Random Survival Forest Analysis for People Living With HIV and AIDS After Highly Active Antiretroviral Therapy in China: Retrospective Cohort Study.Journal of medical Internet research · 2025Article
- Development and validation a nomogram to predict long-term mortality risks of PRISm and mild-to-moderate COPD based on NHANES 2007-2012.Scientific reports · 2025Article
- Interpretable machine learning-derived nomogram model for early detection of persistent diarrhea in Salmonella typhimurium enteritis: a propensity score matching based case-control study.BMC infectious diseases · 2025Article
- Risk Factors Associated with Virological Failure in HIV Patients with Low Level Viremia: A Retrospective Study.Infection and drug resistance · 2025Article
- Evaluation of differences between initial and recurrent acute pancreatitis in the intensive care unit.Archives of medical science : AMS · 2025Article
- Machine learning-based prediction of mortality risk in AIDS patients with comorbid common AIDS-related diseases or symptoms.Frontiers in public health · 2025Article
- A web-based dynamic nomogram for estimating talaromycosis risk in hospitalized HIV-positive patients.Epidemiology and infection · 2024Article
- Prognostic prediction models for treatment experienced people living with HIV: a protocol for systematic review and meta-analysis.BMJ open · 2024Article
- Incomplete immune reconstitution and its predictors in people living with HIV in Wuhan, China.BMC public health · 2023Article
- Comparison of the prognostic value of a comprehensive set of predictors in identifying risk of metabolic-associated fatty liver disease among employed adults.BMC public health · 2023Article
- Nomogram for Early Prediction of Parkinson's Disease Based on microRNA Profiles and Clinical Variables.Journal of Parkinson's disease · 2023Article
- Developing and validating clinical models to identify candidates for allergic rhinitis pre-exposure prophylaxis.Annals of medicine · 2023Article
- A prognostic survival nomogram for persons with extra-nodal natural killer-/T-cell lymphoma.Leukemia · 2022Article
- Development and validation of a prognostic nomogram for patients with stage II colon mucinous adenocarcinoma.International journal of colorectal disease · 2022Article
- Construction and validation of a prognostic nomogram for predicting the survival of HIV/AIDS adults who received antiretroviral therapy: a cohort between 2003 and 2019 in Nanjing.BMC public health · 2022Article
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13 authors.
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Abstract
backgroundAccurate forecast of the death risk is crucial to the administration of people living with HIV/AIDS (PLHIV). We aimed to establish and validate an effective prognosis nomogram in PLHIV receiving antiretroviral therapy (ART).
methodsAll the data were obtained from 2006 to 2018 in the Wenzhou area from China AIDS prevention and control information system. Factors included in the nomogram were determined by univariate and multiple Cox proportional hazard analysis based on the training set. The receiver operating characteristic (ROC) and calibration curves were used to assess its predictive accuracy and discriminative ability. Its clinical utility was also evaluated using decision curve analysis (DCA), X-tile analysis and Kaplan-Meier curve, respectively in an independent validation set.
findingsIndependent prognostic factors including haemoglobin, viral load and CD4+ T-cell count were determined and contained in the nomogram. Good agreement between the prediction by nomogram and actual observation could be detected in the calibration curve for mortality, especially in the first year. In the training cohort, AUC (95% CI) and C-index (95% CI) were 0.93 (0.90, 0.96) and 0.90 (0.85, 0.96), respectively. In the validation set, the nomogram still revealed excellent discriminations [AUC (95% CI): 0.95 (0.91, 1.00)] and good calibration [C-index (95% CI): 0.92 (0.82-1.00)]. Moreover, DCA also demonstrated that the nomogram was clinical beneficial. Additionally, participants could be classified into three distinct (low, middle and high) risk groups by the nomogram.
interpretationThe nomogram presents accurate and favourable prognostic prediction for PLHIV who underwent ART.
fundingThis work was supported by Zhejiang Basic Public Welfare Research Project (LGF19H260011), Wenzhou Basic Public Welfare Research Project (Y20180201), the Initial Scientific Research Fund (KYQD170301), the Major Project of the Eye Hospital Wenzhou the Major Project of the Eye Hospital Wenzhou Medical University (YNZD201602). Part of this work was also funded by National Natural Science Foundation of China (81670777) and Science and Technology Innovation Activity Plan and New Talents Plan for College Students in Zhejiang Province (2019R413073). The funders had no roles in study design, data collection, data analysis, interpretation and writing of the report.
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