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Evaluating characteristics of patient selection and dropout rates.

Authors: S J, Keith;

Evaluating characteristics of patient selection and dropout rates.

Abstract

Patient selection and dropout rates can affect the results of a clinical trial. Long lists of exclusions in the selection of patients for clinical trials reduce the possibility of examining treatment responses for heterogeneity and make recruitment difficult. In many cases, a pool of 100 potential subjects may yield only 2 or 3 qualified participants, a fact that raises the issue of generalizability of results. Dropouts should be carefully defined in advance and can be used as dependent variables for the comparison of different treatments. This article discusses some of the sampling characteristics (gender, age, diagnosis, inpatient/ outpatient status, prior neuroleptic use, and symptom severity) and dropout rates in 5 recent comparative clinical trials of atypical antipsychotics.

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Keywords

Adult, Male, Clinical Trials as Topic, Patient Dropouts, Patient Selection, Age Factors, Middle Aged, Severity of Illness Index, Hospitalization, Sex Factors, Recurrence, Research Design, Ambulatory Care, Schizophrenia, Humans, Female, Aged, Antipsychotic Agents

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Average
Top 10%
Average
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