ArticlePharmaceutical research2011
Assessment of pharmacologic area under the curve when baselines are variable.
Article in Pharmaceutical research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 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.
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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.
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Who cites it
44 citing papers in PubMed.
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- Interactions of Nedaplatin with Nucleobases and Purine Alkaloids: Their Role in Cancer Therapy.Biomedicines · 2025Article
- Pharmacokinetics of Cannabidiol in Rat Brain Tissue After Single-Dose Administration of Different Formulations.Molecules (Basel, Switzerland) · 2025Article
- Utilization of Artificial Intelligence Coupled with a High-Throughput, High-Content Platform in the Exploration of Neurodevelopmental Toxicity of Individual and Combined PFAS.Journal of xenobiotics · 2025Article
- Two-Step Transfer Learning Improves Deep Learning-Based Drug Response Prediction in Small Datasets: A Case Study of Glioblastoma.Bioinformatics and biology insights · 2025Article
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- Model-Based Dose Selection of a Sphingosine-1-Phosphate Modulator, Etrasimod, in Patients with Various Degrees of Hepatic Impairment.Pharmaceutics · 2024Article
- Development of a novel intramuscular liposomal injection for advanced meloxicam delivery: Preparation, characterization,International journal of pharmaceutics: X · 2024Article
- Effects of Postprandial Factors and Second Meal Intake Time on Bioequivalence Investigation of Tadalafil-Loaded Orodispersible Films in Human Volunteers.Pharmaceutics · 2024Article
- Bayesian modelling of time series data (BayModTS)-a FAIR workflow to process sparse and highly variable data.Bioinformatics (Oxford, England) · 2024Article
- The Index of Intrusion Control (IIC): Capturing individual variability in intentional intrusion control in the laboratory.Behavior research methods · 2024Article
- Homologous Recombination Deficiency Unrelated to Platinum and PARP Inhibitor Response in Cell Line Libraries.Scientific data · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
purposeThe area under the curve (AUC) is commonly used to assess the extent of exposure of a drug. The same concept can be applied to generally assess pharmacodynamic responses and the deviation of a signal from its baseline value. When the initial condition for the response of interest is not zero, there is uncertainty in the true value of the baseline measurement. This necessitates the consideration of the AUC relative to baseline to account for this inherent uncertainty and variability in baseline measurements.
methodsAn algorithm to calculate the AUC with respect to a variable baseline is developed by comparing the AUC of the response curve with the AUC of the baseline while taking into account uncertainty in both measurements. Furthermore, positive and negative components of AUC (above and below baseline) are calculated separately to allow for the identification of biphasic responses.
resultsThis algorithm is applied to gene expression data to illustrate its ability to capture transcriptional responses to a drug that deviate from baseline and to synthetic data to quantitatively test its performance.
conclusionsThe variable nature of the baseline is an important aspect to consider when calculating the AUC.
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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.