ArticleOpen forum infectious diseases2018
Development and Validation of an Electronic Medical Record-Based Algorithm to Identify Patient Milestones in the Hepatitis C Virus Care Cascade.
Article in Open forum infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Hepatitis C Cascades: Data to Inform Hepatitis C Elimination in the United States.Public health reports (Washington, D.C. : 1974) · 2023Review
- Hybrid model for precise hepatitis-C classification using improved random forest and SVM method.Scientific reports · 2023Article
- Finding undiagnosed patients with hepatitis C virus: an application of machine learning to US ambulatory electronic medical records.BMJ health & care informatics · 2023Article
- Strategy for the Micro-Elimination of Hepatitis C among Patients with Diabetes Mellitus-A Hospital-Based Experience.Journal of clinical medicine · 2021Article
- Design of an Enhanced Public Health Surveillance System for Hepatitis C Virus Elimination in King County, Washington.Public health reports (Washington, D.C. : 1974) · 2020Article
- Hepatitis C in Pregnancy: A Unique Opportunity to Improve the Hepatitis C Cascade of Care.Hepatology communications · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Disease-specific care cascades are important public health and organizational tools to characterize gaps in care and target resources, but they are labor-intensive to maintain. Using data available from the electronic medical record, we developed an algorithm with high accuracy for correctly representing an individual's status in the hepatitis C virus care cascade.
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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.