Prediction Models for Assessing Long-Term Outcome in Alzheimer's Disease: A Review.

Forskningsoutput: TidskriftsbidragÖversiktsartikel

Abstract

In Alzheimer's disease (AD), placebo-controlled long-term studies of cholinesterase inhibitors (ChEIs) are not permitted for ethical reasons. Therefore, in these studies, patients' outcomes on cognitive and functional assessment scales must be compared with mathematical models or historical data from untreated cohorts. PubMed and previously published long-term extensions of clinical trials and naturalistic studies of ChEIs were examined to identify empirical statistical models and other approaches, such as use of data from historical cohorts or extrapolated changes from extension studies, that were used to draw comparisons between ChEI-treated and untreated patients. The models and methods were described. It is essential to be aware of the limitations of comparisons made with these approaches. Prediction models based on ChEI-treated patients can be used in the studies of new treatments when those treatments are added to ChEIs. More sophisticated models that also accommodate patient-specific characteristics should be developed for comparisons in future long-term AD studies.

Detaljer

Författare
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Neurologi

Nyckelord

Originalspråkengelska
Sidor (från-till)440-449
TidskriftAmerican Journal of Alzheimers Disease & other Dementias
Volym28
Utgåva nummer5
StatusPublished - 2013
PublikationskategoriForskning
Peer review utfördJa

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