Faulty Cell Lines Can Befuddle Clinical Pharmacology Decision-Making

2020 ◽  
Author(s):  
C. Michael White
Keyword(s):  
Decision Making ◽  
Clinical Pharmacology ◽  
Cell Lines ◽  
Faulty Cell

scholarly journals Ethynilestradiol 20 mcg plus Levonorgestrel 100 mcg: Clinical Pharmacology

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Stefano Lello ◽  
Andrea Cavani
Keyword(s):  
Decision Making ◽  
Clinical Pharmacology ◽  
Body Composition ◽  
Body Weight ◽  
Placebo Group ◽  
Venous Thromboembolism ◽  
Glucose Metabolism ◽  
Low Dose ◽  
Treated Group ◽  
Clinical Effects

Estroprogestins (EPs) are combinations of estrogen and progestin with several actions on women’s health. The different pharmacological composition of EPs is responsible for different clinical effects. One of the most used low-dose EP associations is ethinylestradiol 20 mcg plus levonorgestrel 100 mcg in monophasic regimen (EE20/LNG100). This review summarizes clinical pharmacology, cycle control, and effects on lipid and glucose metabolism, coagulation, body weight/body composition, acne, and sexuality of EE20/LNG100. Overall, EE20/LNG100 combination is safe and well tolerated, and in several studies the incidence of adverse events in the treated group was comparable to that of the placebo group. Cycle control was effective and body weight/body composition did not vary among treated and untreated groups in most studies. The EE20/LNG100 combination shows mild or no effect on lipid and glucose metabolism. Lastly, EE20/LNG100 is associated with a low risk of venous thromboembolism (VTE). In conclusion, in the process of decision making for the individualization of EPs choice, EE20/LNG100 should be considered for its favorable clinical profile.

scholarly journals Consensus on breast cancer cell lines classification for an effective and efficient clinical decision-making

2015 ◽  
Vol 26 ◽  
pp. iii31
Author(s):  
H.H. Milioli ◽  
I. Tishchenko ◽  
C. Riveros ◽  
J. Sakoff ◽  
R. Berretta ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Decision Making ◽  
Cell Lines ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Cancer Cell Lines ◽  
Breast Cancer Cell Lines

scholarly journals Patient-derived organoid (PDO) platforms to facilitate clinical decision making

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Lisa Liu ◽  
Lei Yu ◽  
Zhichao Li ◽  
Wujiao Li ◽  
WeiRen Huang
Keyword(s):  
Decision Making ◽  
Cell Lines ◽  
Drug Screening ◽  
Clinical Decision Making ◽  
Therapy Response ◽  
Clinical Decision ◽  
Chip Technology ◽  
Vitro Model ◽  
Therapeutic Decision Making

AbstractBased on recent advances in organoid research as well as the need to find more accurate models for drug screening in cancer research, patient-derived organoids have emerged as an effective in vitro model system to study cancer. Showing numerous advantages over 2D cell lines, 3D cell lines, and primary cell culture, organoids have been applied in drug screening to demonstrate the correlation between genetic mutations and sensitivity to targeted therapy. Organoids have also been used in co-clinical trials to compare drug responses in organoids to clinical responses in the corresponding patients. Numerous studies have reported the successful use of organoids to predict therapy response in cancer patients. Recently, organoids have been adopted to predict treatment response to radiotherapy and immunotherapy. The development of high throughput drug screening and organoids-on-a-chip technology can advance the use of patient-derived organoids in clinical practice and facilitate therapeutic decision-making.

Discarding optimality: Throwing out the baby with the bathwater?

2018 ◽  
Vol 41 ◽  
Author(s):  
Patrick Simen ◽  
Fuat Balcı
Keyword(s):  
Decision Making ◽  
Perceptual Decision Making ◽  
Reward Rate ◽  
Perceptual Decision ◽  
Standard Observer ◽  
Rate Maximization ◽  
Reward Rate Maximization ◽  
Descriptive Standard ◽  
Observer Model

AbstractRahnev & Denison (R&D) argue against normative theories and in favor of a more descriptive “standard observer model” of perceptual decision making. We agree with the authors in many respects, but we argue that optimality (specifically, reward-rate maximization) has proved demonstrably useful as a hypothesis, contrary to the authors’ claims.

LPCD framework: Analytical tool or psychological model?

2018 ◽  
Vol 41 ◽  
Author(s):  
David Danks
Keyword(s):  
Decision Making ◽  
Analytical Tool ◽  
Mathematical Framework ◽  
Bayesian Decision ◽  
Perceptual Decision Making ◽  
Psychological Model ◽  
Psychological Reality ◽  
Psychological Theories ◽  
Target Article ◽  
Bayesian Decision Making

AbstractThe target article uses a mathematical framework derived from Bayesian decision making to demonstrate suboptimal decision making but then attributes psychological reality to the framework components. Rahnev & Denison's (R&D) positive proposal thus risks ignoring plausible psychological theories that could implement complex perceptual decision making. We must be careful not to slide from success with an analytical tool to the reality of the tool components.

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