ArticleJMIR medical informatics2018
Predicting Current Glycated Hemoglobin Values in Adults: Development of an Algorithm From the Electronic Health Record.
Article in JMIR medical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
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
13 citing papers in PubMed.
- Development and Validation of an Electronic Health Record Algorithm to Predict the Presence of Chronic Obstructive Pulmonary Disease.International journal of chronic obstructive pulmonary disease · 2026Article
- Regulation of reactive oxygen species and the role of mitochondrial apoptotic-related genes in rheumatoid arthritis.Scientific reports · 2025Article
- Development, validation and recalibration of a prediction model for prediabetes: an EHR and NHANES-based study.BMC medical informatics and decision making · 2024Article
- Exploring the potential link between MitoEVs and the immune microenvironment of periodontitis based on machine learning and bioinformatics methods.BMC oral health · 2024Article
- Identification of glutamine metabolism-related gene signature to predict colorectal cancer prognosis.Journal of Cancer · 2024Article
- Patient Perspectives on a Targeted Text Messaging Campaign to Encourage Screening for Diabetes: Qualitative Study.JMIR formative research · 2023Article
- Single-cell sequencing and transcriptome analyses in the construction of a liquid-liquid phase separation-associated gene model for rheumatoid arthritis.Frontiers in genetics · 2023Article
- Creating learning health systems and the emerging role of biomedical informatics.Learning health systems · 2022Article
- Development of a Gene Risk Signature for Patients of Pancreatic Cancer.Journal of healthcare engineering · 2022Article
- Improving Current Glycated Hemoglobin Prediction in Adults: Use of Machine Learning Algorithms With Electronic Health Records.JMIR medical informatics · 2021Article
- Identification of Vitamin D-related gene signature to predict colorectal cancer prognosis.PeerJ · 2021Article
- Predicting Current Glycated Hemoglobin Levels in Adults From Electronic Health Records: Validation of Multiple Logistic Regression Algorithm.JMIR medical informatics · 2020Article
- A Reinforcement Learning-Based Method for Management of Type 1 Diabetes: Exploratory Study.JMIR diabetes · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundElectronic, personalized clinical decision support tools to optimize glycated hemoglobin (HbA
objectiveThe goal of this project was to create a mathematical equation for predicting the probability of current elevations in HbA
methodsThe reduced model was compared head-to-head with calculators created by Baan and Griffin. Ten-fold cross-validation was used to calculate the bias-adjusted prediction accuracy of the new model. Statistical analyses were performed in R version 3.2.5 (The R Foundation for Statistical Computing) using the rms (Regression Modeling Strategies) package.
resultsThe final model to predict an elevated HbA
conclusionsThe calculator created for predicting the probability of having an elevated HbA
Indexed as
Identifiers
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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.