Impact of epidemic and individual heterogeneity on the population distribution of disease progression rates. An example from patient populations in trials of human immunodeficiency virus infection

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Μικρογραφία εικόνας

Ημερομηνία

Συγγραφείς

Ioannidis, J. P.
Cappelleri, J. C.
Schmid, C. H.
Lau, J.

Τίτλος Εφημερίδας

Περιοδικό ISSN

Τίτλος τόμου

Εκδότης

Περίληψη

Τύπος

Είδος δημοσίευσης σε συνέδριο

Είδος περιοδικού

peer-reviewed

Είδος εκπαιδευτικού υλικού

Όνομα συνεδρίου

Όνομα περιοδικού

Am J Epidemiol

Όνομα βιβλίου

Σειρά βιβλίου

Έκδοση βιβλίου

Συμπληρωματικός/δευτερεύων τίτλος

Περιγραφή

Patients at the same stage of chronic disease may have had different rates of disease progression. The authors developed a mathematical modeling approach that allows reconstructing and comparing populations in terms of the disease progression rates of their participants when the disease onset and progression rates are unknown for individual patients. Human immunodeficiency virus 1 infection was used as an example. Both published and hypothetical models were used to describe the human immunodeficiency virus 1 epidemic (epidemic heterogeneity) and incubation and survival functions for different disease stages (individual heterogeneity). Reconstructions of populations with late disease (e.g., acquired immunodeficiency syndrome patients) show a marked predominance of rapid progressors, unless the incidence of new infections has been decreasing for a long time. Rapid progressors would also predominate in populations of acute seroconverters, unless diagnosis is based on repeated serologic screening rather than symptoms. Populations of patients who have not progressed beyond an early stage of the disease (e.g., patients with CD4 cell counts > 500/microliter) tend to overrepresent slow progressors, especially if the epidemic has been decreasing for a long time. With this approach, one can assess whether the target population of a clinical trial is comparable with other patient populations at different places and times. Epidemic and individual diversity may even affect trial results if patients with different progression rates experience different benefits from a treatment. By modeling the targeted populations in trials of early versus deferred antiretroviral treatment, the authors observed larger treatment benefits in trials in which rapid progressors probably predominated, compared with trials of slow progressors.

Περιγραφή

Λέξεις-κλειδιά

Acquired Immunodeficiency Syndrome/drug therapy/epidemiology, Antiviral Agents/therapeutic use, Clinical Trials as Topic, *Disease Progression, *Epidemiology, HIV Infections/*drug therapy/*epidemiology, Humans, Models, Statistical, *Population, Research Design, Survival Analysis

Θεματική κατηγορία

Παραπομπή

Σύνδεσμος

http://www.ncbi.nlm.nih.gov/pubmed/8942440

Γλώσσα

en

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Όνομα επιβλέποντος

Εξεταστική επιτροπή

Γενική Περιγραφή / Σχόλια

Ίδρυμα και Σχολή/Τμήμα του υποβάλλοντος

Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικής

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Χορηγός

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