ArticleCirculation. Cardiovascular quality and outcomes2016
Semi-Competing Risks Data Analysis: Accounting for Death as a Competing Risk When the Outcome of Interest Is Nonterminal.
Article in Circulation. Cardiovascular quality and outcomes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.
- One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites.Journal of biomedical informatics · 2024Pooled it
- Predicting the outcomes of preterm neonates beyond the neonatal intensive care unit: What are we missing?Pediatric research · 2021Pooled it
- Does lifestyle intervention lower clinically significant cognitive impairment risk?Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Trial
- A joint frailty model provides for risk stratification of human immunodeficiency virus-infected patients based on unobserved heterogeneity.Journal of clinical epidemiology · 2018Trial
- Competing Risks of Cardiovascular Versus Noncardiovascular Death During Long-Term Follow-Up After Acute Coronary Syndromes.Journal of the American Heart Association · 2017Trial
- DEEP LEARNING OF SEMI-COMPETING RISK DATA VIA A NEW NEURAL EXPECTATION-MAXIMIZATION ALGORITHM.The annals of applied statistics · 2026Article
- The Effect of Rural Versus Urban Residence on Risk of Unplanned Readmission and Death in Older Veterans Discharged From VA Hospitals.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026Observational
- An Overview and Recent Developments in the Analysis of Multistate Processes.Statistics in medicine · 2026Review
- Choice of antiseizure medications and associated outcomes in Medicare beneficiaries after acute ischemic stroke.Epilepsia · 2025Article
- Pain Treatment Strategy and Readmission Rates for Medicare Beneficiaries Post-Acute Ischemic Stroke.medRxiv : the preprint server for health sciences · 2025Article
- Choice of Epilepsy Anti-Seizure Medications and Associated Outcomes in Medicare Beneficiaries.medRxiv : the preprint server for health sciences · 2025Article
- Modeling of Disease Progression of Type 2 Diabetes Using Real-World Data: Quantifying Competing Risks of Morbidity and Mortality.CPT: pharmacometrics & systems pharmacology · 2025Article
- Modeling Chronic Disease Mortality by Methods From Accelerated Life Testing.Statistics in medicine · 2024Article
- Competing risks data in clinical oncology.Frontiers in oncology · 2024Review
- Incidence of Colorectal Cancer in Patients Diagnosed With Pyogenic Liver Abscess.JAMA network open · 2023Article
- Weighing risks and benefits in the presence of competing risks.Current epidemiology reports · 2023Article
- Recurrence and Postoperative Death in Patients with Colorectal Cancer: A New Perspective via Semi-competing Risk Framework.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2023Article
- Prognostic factors of readmission and mortality after first heart failure hospitalization: results from EPICAL2 cohort.ESC heart failure · 2023Article
- A novel approach to joint prediction of preeclampsia and delivery timing using semicompeting risks.American journal of obstetrics and gynecology · 2023Article
- High-Dimensional Survival Analysis: Methods and Applications.Annual review of statistics and its application · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 2 countries.
Funding
Abstract
Hospital readmission is a key marker of quality of health care. Notwithstanding its widespread use, however, it remains controversial in part because statistical methods used to analyze readmission, primarily logistic regression and related models, may not appropriately account for patients who die before experiencing a readmission event within the time frame of interest. Toward resolving this, we describe and illustrate the semi-competing risks framework, which refers to the general setting where scientific interest lies with some nonterminal event (eg, readmission), the occurrence of which is subject to a terminal event (eg, death). Although several statistical analysis methods have been proposed for semi-competing risks data, we describe in detail the use of illness-death models primarily because of their relation to well-known methods for survival analysis and the availability of software. We also describe and consider in detail several existing approaches that could, in principle, be used to analyze semi-competing risks data, including composite end point and competing risks analyses. Throughout we illustrate the ideas and methods using data on N=49 763 Medicare beneficiaries hospitalized between 2011 and 2013 with a principle discharge diagnosis of heart failure.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.