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Healthy Skepticism Library item: 6187

Warning: This library includes all items relevant to health product marketing that we are aware of regardless of quality. Often we do not agree with all or part of the contents.

 

Publication type: Journal Article

Zhang L, Sinha V, Forgue ST, Callies S, Ni L, Peck R, Allerheiligen SR.
Model-based drug development: the road to quantitative pharmacology.
J Pharmacokinet Pharmacodyn 2006 Jun 01; 33:(3):369-93
http://www.springerlink.com/content/m26kg47q6527m267/


Abstract:

High development costs and low success rates in bringing new medicines to the market demand more efficient and effective approaches. Identified by the FDA as a valuable prognostic tool for fulfilling such a demand, model-based drug development is a mathematical and statistical approach that constructs, validates, and utilizes disease models, drug exposure-response models, and pharmacometric models to facilitate drug development. Quantitative pharmacology is a discipline that learns and confirms the key characteristics of new molecular entities in a quantitative manner, with goal of providing explicit, reproducible, and predictive evidence for optimizing drug development plans and enabling critical decision making. Model-based drug development serves as an integral part of quantitative pharmacology. This work reviews the general concept, basic elements, and evolving role of model-based drug development in quantitative pharmacology. Two case studies are presented to illustrate how the model-based drug development approach can facilitate knowledge management and decision making during drug development. The case studies also highlight the organizational learning that comes through implementation of quantitative pharmacology as a discipline. Finally, the prospects of quantitative pharmacology as an emerging discipline are discussed. Advances in this discipline will require continued collaboration between academia, industry and regulatory agencies

Keywords:
Adult Aged Algorithms Antimetabolites, Antineoplastic/administration & dosage Antimetabolites, Antineoplastic/pharmacokinetics Antimetabolites, Antineoplastic/therapeutic use Biological Markers/analysis Biological Markers/metabolism Clinical Trials/methods Clinical Trials/statistics & numerical data Computer Simulation* Decision Making Deoxycytidine/administration & dosage Deoxycytidine/analogs & derivatives Deoxycytidine/pharmacokinetics Deoxycytidine/therapeutic use Dose-Response Relationship, Drug Drug Industry/methods* Drug Industry/statistics & numerical data Drug Industry/trends Female Humans Male Middle Aged Models, Biological* Osteocalcin/blood Osteoporosis, Postmenopausal/blood Osteoporosis, Postmenopausal/drug therapy Pharmacology/methods* Pharmacology/statistics & numerical data Pharmacology/trends Raloxifene/administration & dosage Raloxifene/pharmacokinetics Selective Estrogen Receptor Modulators/administration & dosage Selective Estrogen Receptor Modulators/pharmacokinetics Selective Estrogen Receptor Modulators/therapeutic use Treatment Outcome

 

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Cases of wilful misrepresentation are a rarity in medical advertising. For every advertisement in which nonexistent doctors are called on to testify or deliberately irrelevant references are bunched up in [fine print], you will find a hundred or more whose greatest offenses are unquestioning enthusiasm and the skill to communicate it.

The best defence the physician can muster against this kind of advertising is a healthy skepticism and a willingness, not always apparent in the past, to do his homework. He must cultivate a flair for spotting the logical loophole, the invalid clinical trial, the unreliable or meaningless testimonial, the unneeded improvement and the unlikely claim. Above all, he must develop greater resistance to the lure of the fashionable and the new.
- Pierre R. Garai (advertising executive) 1963