ArticleJACC. Basic to translational science2021
MLb-LDLr: A Machine Learning Model for Predicting the Pathogenicity of
Article in JACC. Basic to translational science, 2021. 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
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
13 citing papers in PubMed, 17 citations in OpenAlex.
- Large-Scale Functional Characterization of Low-Density Lipoprotein Receptor Gene Variants Improves Risk Assessment in Cardiovascular Disease.JACC. Basic to translational science · 2025Article
- OptiMo-LDLr: An Integrated In Silico Model with Enhanced Predictive Power for LDL Receptor Variants, Unraveling Hot Spot Pathogenic Residues.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- MLe-KCNQ2: An Artificial Intelligence Model for the Prognosis of MissenseInternational journal of molecular sciences · 2024Article
- Effect of mixed meal replacement of soybean meal on growth performance, nutrient apparent digestibility, and gut microbiota of finishing pigs.Frontiers in veterinary science · 2024Article
- Predictive Modeling and Structure Analysis of Genetic Variants in Familial Hypercholesterolemia: Implications for Diagnosis and Protein Interaction Studies.Current atherosclerosis reports · 2023Review
- Familial Hypercholesterolemia: From Clinical Suspicion to Novel Treatments.Reviews in cardiovascular medicine · 2023Review
- Novel Tools for Comprehensive Functional Analysis of LDLR (Low-Density Lipoprotein Receptor) Variants.International journal of molecular sciences · 2023Article
- Continuous Bayesian variant interpretation accounts for incomplete penetrance among Mendelian cardiac channelopathies.Genetics in medicine : official journal of the American College of Medical Genetics · 2023Article
- Genetic Heterogeneity of Familial Hypercholesterolemia: Repercussions for Molecular Diagnosis.International journal of molecular sciences · 2023Review
- Applications of machine learning in familial hypercholesterolemia.Frontiers in cardiovascular medicine · 2023Review
- Low-density lipoprotein receptor genotypes modify the sera metabolome of patients with homozygous familial hypercholesterolemia.iScience · 2022Article
- Advancing Prediction of Pathogenicity of Familial Hypercholesterolemia LDL Receptor Commonest Variants With Machine Learning Models.JACC. Basic to translational science · 2021Article
- Genetic Testing in Familial Hypercholesterolemia: Strengthening the Tools, Reinforcing Efforts, and Diagnosis.JACC. Basic to translational science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Untreated familial hypercholesterolemia (FH) leads to atherosclerosis and early cardiovascular disease. Mutations in the low-density lipoprotein receptor (
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.