Articulating and responding to uncertainties in clinical research.
B. Djulbegovic. The Journal of medicine and philosophy, 32 (2):
79-98(2007)7494<m:linebreak></m:linebreak>LR: 20071115; GR: 1 R01 NS044417-01/NS/NINDS NIH HHS/United States; JID: 7610512; ppublish;<m:linebreak></m:linebreak>Intervenció/placebo; Recerca clínica; Ètica;.
DOI: 10.1080/03605310701255719
Zusammenfassung
This paper introduces taxonomy of clinical uncertaintes and argues that the choice of scientific method should match the underlying level of uncertainty. Clinical trial is one of these methods aiming to resolve clinical uncertainties. Whenever possible these uncertainties should be quantified. The paper further shows that the still ongoing debate about the usage of "equipoise" vs. üncertainty principle" vs. "indifference" as an entry criterion to clinical trials actually refers to the question "whose uncertainty counts". This question is intimately linked to the control of research agenda, which is not quantifiable and hence is not solvable to equal acceptability to all interested parties. The author finally shows that there is a predictable relation between acknowledgement of uncertainty (the moral principle) on which trials are based and the ultimate outcomes of clinical trials. That is, acknowledgement of uncertainty determines a pattern of success in medicine and drives clinical discoveries.
%0 Journal Article
%1 Djulbegovic2007
%A Djulbegovic, Benjamin
%D 2007
%J The Journal of medicine and philosophy
%K ClinicalTrialsasTopic ClinicalTrialsasTopic:ethics Ethics Humans Models RandomizedControlledTrialsasTopic:ethics Research ResearchDesign Theoretical TherapeuticHumanExperimentation TherapeuticHumanExperimentation:ethics Uncertainty RCT
%N 2
%P 79-98
%R 10.1080/03605310701255719
%T Articulating and responding to uncertainties in clinical research.
%U http://www.ncbi.nlm.nih.gov/pubmed/17454416
%V 32
%X This paper introduces taxonomy of clinical uncertaintes and argues that the choice of scientific method should match the underlying level of uncertainty. Clinical trial is one of these methods aiming to resolve clinical uncertainties. Whenever possible these uncertainties should be quantified. The paper further shows that the still ongoing debate about the usage of "equipoise" vs. üncertainty principle" vs. "indifference" as an entry criterion to clinical trials actually refers to the question "whose uncertainty counts". This question is intimately linked to the control of research agenda, which is not quantifiable and hence is not solvable to equal acceptability to all interested parties. The author finally shows that there is a predictable relation between acknowledgement of uncertainty (the moral principle) on which trials are based and the ultimate outcomes of clinical trials. That is, acknowledgement of uncertainty determines a pattern of success in medicine and drives clinical discoveries.
%@ 0360-5310; 0360-5310
@article{Djulbegovic2007,
abstract = {This paper introduces taxonomy of clinical uncertaintes and argues that the choice of scientific method should match the underlying level of uncertainty. Clinical trial is one of these methods aiming to resolve clinical uncertainties. Whenever possible these uncertainties should be quantified. The paper further shows that the still ongoing debate about the usage of "equipoise" vs. "uncertainty principle" vs. "indifference" as an entry criterion to clinical trials actually refers to the question "whose uncertainty counts". This question is intimately linked to the control of research agenda, which is not quantifiable and hence is not solvable to equal acceptability to all interested parties. The author finally shows that there is a predictable relation between [acknowledgement of] uncertainty (the moral principle) on which trials are based and the ultimate outcomes of clinical trials. That is, [acknowledgement of] uncertainty determines a pattern of success in medicine and drives clinical discoveries.},
added-at = {2023-02-03T11:44:35.000+0100},
author = {Djulbegovic, Benjamin},
biburl = {https://www.bibsonomy.org/bibtex/2ad6e507bd032e10c39f04a761118094c/jepcastel},
city = {Department of Interdisciplinary Oncology, University of South Florida, Tampa, Florida 33612, USA. djulbebm@moffitt.usf.edu},
doi = {10.1080/03605310701255719},
interhash = {b31dc37e435d3286aaa11f377b6a8419},
intrahash = {ad6e507bd032e10c39f04a761118094c},
isbn = {0360-5310; 0360-5310},
issn = {0360-5310},
journal = {The Journal of medicine and philosophy},
keywords = {ClinicalTrialsasTopic ClinicalTrialsasTopic:ethics Ethics Humans Models RandomizedControlledTrialsasTopic:ethics Research ResearchDesign Theoretical TherapeuticHumanExperimentation TherapeuticHumanExperimentation:ethics Uncertainty RCT},
note = {7494<m:linebreak></m:linebreak>LR: 20071115; GR: 1 R01 NS044417-01/NS/NINDS NIH HHS/United States; JID: 7610512; ppublish;<m:linebreak></m:linebreak>Intervenció/placebo; Recerca clínica; Ètica;},
number = 2,
pages = {79-98},
pmid = {17454416},
timestamp = {2023-05-04T08:59:38.000+0200},
title = {Articulating and responding to uncertainties in clinical research.},
url = {http://www.ncbi.nlm.nih.gov/pubmed/17454416},
volume = 32,
year = 2007
}