"Area Under Curve" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A statistical means of summarizing information from a series of measurements on one individual. It is frequently used in clinical pharmacology where the AUC from serum levels can be interpreted as the total uptake of whatever has been administered. As a plot of the concentration of a drug against time, after a single dose of medicine, producing a standard shape curve, it is a means of comparing the bioavailability of the same drug made by different companies. (From Winslade, Dictionary of Clinical Research, 1992)
| Descriptor ID |
D019540
|
| MeSH Number(s) |
E05.318.740.200 G03.787.101 G07.690.725.064 N06.850.520.830.200
|
| Concept/Terms |
Area Under Curve- Area Under Curve
- Area Under Curves
- Curve, Area Under
- Curves, Area Under
- Under Curve, Area
- Under Curves, Area
- AUC
|
Below are MeSH descriptors whose meaning is more general than "Area Under Curve".
Below are MeSH descriptors whose meaning is more specific than "Area Under Curve".
This graph shows the total number of publications written about "Area Under Curve" by people in this website by year, and whether "Area Under Curve" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2002 | 0 | 3 | 3 |
| 2003 | 0 | 1 | 1 |
| 2006 | 0 | 1 | 1 |
| 2007 | 0 | 1 | 1 |
| 2008 | 0 | 3 | 3 |
| 2009 | 0 | 1 | 1 |
| 2010 | 0 | 2 | 2 |
| 2011 | 0 | 4 | 4 |
| 2012 | 0 | 5 | 5 |
| 2013 | 0 | 8 | 8 |
| 2014 | 0 | 4 | 4 |
| 2015 | 0 | 4 | 4 |
| 2016 | 0 | 3 | 3 |
| 2017 | 0 | 3 | 3 |
| 2018 | 0 | 6 | 6 |
| 2019 | 0 | 1 | 1 |
| 2020 | 0 | 4 | 4 |
| 2021 | 0 | 1 | 1 |
| 2022 | 0 | 2 | 2 |
| 2024 | 0 | 1 | 1 |
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click here.
Below are the most recent publications written about "Area Under Curve" by people in Profiles.
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A Relative Bioavailability, Bioequivalence, and Food Effect Study of Niraparib Tablets in Patients with Advanced Solid Tumors. Clin Ther. 2024 Mar; 46(3):228-238.
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Improving Performance of Breast Lesion Classification Using a ResNet50 Model Optimized with a Novel Attention Mechanism. Tomography. 2022 Sep 28; 8(5):2411-2425.
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Evaluation of pharmacist time dedicated to vancomycin dosing in adult patients using a 24-hour AUC nomogram or trough monitoring approach: A time motion study. Am J Health Syst Pharm. 2022 07 08; 79(14):1173-1179.
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Is It Time to Use Modeling of Cellular Transporter Homeostasis to Inform Drug-Drug Interaction Studies: Theoretical Considerations. AAPS J. 2021 08 25; 23(5):102.
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An integrated model of N6-methyladenosine regulators to predict tumor aggressiveness and immune evasion in pancreatic cancer. EBioMedicine. 2021 Mar; 65:103271.
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Machine learning prediction in cardiovascular diseases: a meta-analysis. Sci Rep. 2020 09 29; 10(1):16057.
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Single-Cell Classification Using Mass Spectrometry through Interpretable Machine Learning. Anal Chem. 2020 07 07; 92(13):9338-9347.
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Thromboelastography Reaction-Time Thresholds for Optimal Prediction of Coagulation Factor Deficiency in Trauma. J Am Coll Surg. 2020 05; 230(5):798-808.
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Vaginal Suppositories Containing SHetA2 to Treat Cervical Dysplasia: Pharmacokinetics of Daily Doses and Preliminary Safety Profile. J Pharm Sci. 2020 06; 109(6):2000-2008.
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Using artificial intelligence (AI) to predict postoperative surgical site infection: A retrospective cohort of 4046 posterior spinal fusions. Clin Neurol Neurosurg. 2020 05; 192:105718.