ArticleEuropean journal of cardiovascular nursing2023
Survival analysis 101: an easy start guide to analysing time-to-event data.
Article in European journal of cardiovascular nursing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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Who cites it
7 citing papers in PubMed.
- Deep survival analysis in multimodal medical data: a parametric and probabilistic approach with competing risks.Scientific reports · 2026Article
- Strengthening Clinical Governance and Public Health Interventions to Improve Drug-Resistant Tuberculosis Outcomes in Rural South Africa.Healthcare (Basel, Switzerland) · 2025Article
- Individualized co-expression-like index (iCKI) enables gene-gene interactions as individual biomarkers for complex disease.BMC bioinformatics · 2025Article
- Background and design of the Physical Frailty and Symptom Monitoring and Management Behaviors in Heart Failure (PRISM-HF) study: A mixed methods study.International journal of nursing studies advances · 2025Review
- Household size and its role in the association between multimorbidity and health and social care outcomes in older adults in Wales: retrospective cohort study.BMJ medicine · 2025Article
- Application of machine learning in breast cancer survival prediction using a multimethod approach.Scientific reports · 2024Article
- Hitting the (bio)mark Part 2: analysing, interpreting, and reporting biomarker data in cardiovascular research.European journal of cardiovascular nursing · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Survival analysis, also called time-to-event analysis, is a common approach to handling event data in cardiovascular nursing and health-related research. Survival analysis is used to describe, explain, and/or predict the occurrence and timing of events. There is a specific language used and methods designed to handle the unique nature of event data. In this methods paper, we provide an 'easy start guide' to using survival analysis by (i) providing a step-by-step guide and (ii) applying the steps with example data. Specifically, we analyse cardiovascular event data over 6 months in a sample of patients with heart failure.
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Registered trials
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