amiodarone has been researched along with hydroxyzine in 12 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 2 (16.67) | 29.6817 |
| 2010's | 10 (83.33) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
| Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A | 1 |
| Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM | 1 |
| García-Mera, X; González-Díaz, H; Prado-Prado, FJ | 1 |
| Glen, RC; Lowe, R; Mitchell, JB | 1 |
| Chen, M; Fang, H; Liu, Z; Shi, Q; Tong, W; Vijay, V | 1 |
| Atzpodien, EA; Csato, M; Doessegger, L; Fischer, H; Lenz, B; Schmitt, G; Singer, T | 1 |
| Ambroso, JL; Ayrton, AD; Baines, IA; Bloomer, JC; Chen, L; Clarke, SE; Ellens, HM; Harrell, AW; Lovatt, CA; Reese, MJ; Sakatis, MZ; Taylor, MA; Yang, EY | 1 |
| Cantin, LD; Chen, H; Kenna, JG; Noeske, T; Stahl, S; Walker, CL; Warner, DJ | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
| Jones, LH; Nadanaciva, S; Rana, P; Will, Y | 1 |
| Delafontaine, P; Deo, R; Doerfler, RM; Fink, JC; Fischer, MJ; Jaar, BG; Kramlik, S; Makos, GK; Navaneethan, S; Ojo, A; Slaven, A; Snitker, S; Soliman, EZ; St Peter, WL; Weir, MR; Zhan, M | 1 |
1 review(s) available for amiodarone and hydroxyzine
| Article | Year |
|---|---|
DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans.
Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Drug Labeling; Humans; Pharmaceutical Preparations; Risk | 2016 |
11 other study(ies) available for amiodarone and hydroxyzine
| Article | Year |
|---|---|
Assessment of the health effects of chemicals in humans: II. Construction of an adverse effects database for QSAR modeling.
Topics: Adverse Drug Reaction Reporting Systems; Artificial Intelligence; Computers; Databases, Factual; Drug Prescriptions; Drug-Related Side Effects and Adverse Reactions; Endpoint Determination; Models, Molecular; Quantitative Structure-Activity Relationship; Software; United States; United States Food and Drug Administration | 2004 |
Cheminformatics analysis of assertions mined from literature that describe drug-induced liver injury in different species.
Topics: Animals; Chemical and Drug Induced Liver Injury; Cluster Analysis; Databases, Factual; Humans; MEDLINE; Mice; Models, Chemical; Molecular Conformation; Quantitative Structure-Activity Relationship | 2010 |
Development of a phospholipidosis database and predictive quantitative structure-activity relationship (QSAR) models.
Topics: | 2008 |
Multi-target spectral moment QSAR versus ANN for antiparasitic drugs against different parasite species.
Topics: Antiparasitic Agents; Molecular Structure; Neural Networks, Computer; Parasitic Diseases; Quantitative Structure-Activity Relationship; Species Specificity; Thermodynamics | 2010 |
Predicting phospholipidosis using machine learning.
Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine | 2010 |
FDA-approved drug labeling for the study of drug-induced liver injury.
Topics: Animals; Benchmarking; Biomarkers, Pharmacological; Chemical and Drug Induced Liver Injury; Drug Design; Drug Labeling; Drug-Related Side Effects and Adverse Reactions; Humans; Pharmaceutical Preparations; Reproducibility of Results; United States; United States Food and Drug Administration | 2011 |
In silico assay for assessing phospholipidosis potential of small druglike molecules: training, validation, and refinement using several data sets.
Topics: Animals; Cattle; Cells, Cultured; Computer Simulation; Cornea; Drug-Related Side Effects and Adverse Reactions; Fibroblasts; Lipidoses; Lysosomal Storage Diseases; Models, Molecular; Pharmaceutical Preparations; Phospholipids; Structure-Activity Relationship; Thermodynamics | 2012 |
Preclinical strategy to reduce clinical hepatotoxicity using in vitro bioactivation data for >200 compounds.
Topics: Chemical and Drug Induced Liver Injury; Cytochrome P-450 Enzyme Inhibitors; Cytochrome P-450 Enzyme System; Decision Trees; Drug Evaluation, Preclinical; Drug-Related Side Effects and Adverse Reactions; Glutathione; Humans; Liver; Pharmaceutical Preparations; Protein Binding | 2012 |
Mitigating the inhibition of human bile salt export pump by drugs: opportunities provided by physicochemical property modulation, in silico modeling, and structural modification.
Topics: Animals; ATP Binding Cassette Transporter, Subfamily B, Member 11; ATP-Binding Cassette Transporters; Bile Acids and Salts; Cell Line; Chemical and Drug Induced Liver Injury; Humans; Quantitative Structure-Activity Relationship | 2012 |
Development of a cell viability assay to assess drug metabolite structure-toxicity relationships.
Topics: Adenosine Triphosphate; Benzbromarone; Cell Line; Cell Survival; Chromans; Cytochrome P-450 CYP2C9; Cytochrome P-450 CYP2D6; Cytochrome P-450 CYP3A; Cytochrome P-450 Enzyme System; Humans; Pharmaceutical Preparations; Thiazolidinediones; Troglitazone | 2016 |
Association of QT-Prolonging Medication Use in CKD with Electrocardiographic Manifestations.
Topics: Aged; Amiodarone; Anti-Arrhythmia Agents; Antidepressive Agents, Second-Generation; Citalopram; Diabetes Complications; Diuretics; Electrocardiography; Female; Fluoxetine; Furosemide; Heart; Heart Rate; Histamine H1 Antagonists; Humans; Hydroxyzine; Male; Metolazone; Middle Aged; Proton Pump Inhibitors; Renal Insufficiency, Chronic; Venlafaxine Hydrochloride | 2017 |