ArticleBMC medical informatics and decision making2019
How to measure temporal changes in care pathways for chronic diseases using health care registry data.
Article in BMC medical informatics and decision making, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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
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Who cites it
5 citing papers in PubMed.
- Care trajectories in children with profound intellectual and multiple disabilities/polyhandicap: a cross-sectional study of the French National Cohort.Frontiers in public health · 2026Article
- Natural History of Nonmetastatic Prostate Cancer Managed With Watchful Waiting.JAMA network open · 2024Article
- Modeling Disease Trajectories for Castration-resistant Prostate Cancer Using Nationwide Population-based Data.European urology open science · 2022Article
- Long-term Outcomes Among Men Undergoing Active Surveillance for Prostate Cancer in Sweden.JAMA network open · 2022Article
- Simulation model of disease incidence driven by diagnostic activity.Statistics in medicine · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundDisease trajectories for chronic diseases can span over several decades, with several time-dependent factors affecting treatment decisions. Thus, there is a need for long-term predictions of disease trajectories to inform patients and healthcare professionals on the long-term outcomes and provide information on the need of future health care. Here, we propose a state transition model to describe and predict disease trajectories up to 25 years after diagnosis in men with prostate cancer (PCa), as a proof of principle.
methodsStates, state transitions, and transition probabilities were identified and estimated in Prostate Cancer data Base of Sweden (PCBaSe
resultsPCBaSe
conclusionsWe developed a reliable and accurate simulation tool, PCBaSe
Indexed as
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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.