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Implementation of subjective cognitive decline criteria in research studies
Author(s) -
Molinuevo José L.,
Rabin Laura A.,
Amariglio Rebecca,
Buckley Rachel,
Dubois Bruno,
Ellis Kathryn A.,
Ewers Michael,
Hampel Harald,
Klöppel Stefan,
Rami Lorena,
Reisberg Barry,
Saykin Andrew J.,
Sikkes Sietske,
Smart Colette M.,
Snitz Beth E.,
Sperling Reisa,
Flier Wiesje M.,
Wagner Michael,
Jessen Frank
Publication year - 2017
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2016.09.012
Subject(s) - generalizability theory , operationalization , comparability , cognitive decline , context (archaeology) , cognition , inclusion and exclusion criteria , psychology , disease , inclusion (mineral) , medicine , clinical psychology , gerontology , developmental psychology , dementia , psychiatry , alternative medicine , pathology , social psychology , philosophy , paleontology , mathematics , epistemology , biology , combinatorics
Subjective cognitive decline (SCD) manifesting before clinical impairment could serve as a target population for early intervention trials in Alzheimer's disease (AD). A working group, the Subjective Cognitive Decline Initiative (SCD‐I), published SCD research criteria in the context of preclinical AD. To successfully apply them, a number of issues regarding assessment and implementation of SCD needed to be addressed. Methods Members of the SCD‐I met to identify and agree on topics relevant to SCD criteria operationalization in research settings. Initial ideas and recommendations were discussed with other SCD‐I working group members and modified accordingly. Results Topics included SCD inclusion and exclusion criteria, together with the informant's role in defining SCD presence and the impact of demographic factors. Discussion Recommendations for the operationalization of SCD in differing research settings, with the aim of harmonization of SCD measurement across studies are proposed, to enhance comparability and generalizability across studies.