P3‐605: COGNITION‐ORIENTED TREATMENTS ARTICLE LIBRARY AND EVALUATION (COGTALE): A NOVEL ONLINE PLATFORM FOR COGNITIVE INTERVENTION RESEARCH EVALUATION, SYNTHESIS, AND TRANSLATION

Abstract

Cognition-oriented treatments (COTs), including cognitive stimulation and training, are ever more popular in the older adult population despite the ongoing debate regarding their benefits and potential to prevent cognitive and functional decline. Numerous systematic reviews on the topic have produced mixed findings and recommendations and there is a dearth of credible and unbiased resources that stakeholders can turn to for complete up-to-date evidence base. CogTale is a novel platform that aims to both accelerate the data synthesis process, and provide a range of stakeholder groups access to up to date and reliable evidence to improve decision making. A comprehensive and dynamic data extraction and coding interface, covering a wide range of design, methodology, and results of eligible trials was developed in an iterative process to form the platforms’ database. CogTale allows expert and non-experts to conduct simple and advanced trial searches. Several methodological quality scores and all relevant effect sizes are automatically computed for each trial using coded algorithms. Additional algorithms are used to pool effect estimates from selected studies, and report templates automatically generate plain language evidence reports. Pilot testing of the website's functionality is underway and CogTale's formal launch is expected in April 2018. Extraction and entry of trial data into the repository is ongoing and registered expert users are able to enter their own trial data, and we anticipate that within 12 months most of the extant literature base will be coded onto the repository. A sample of the website's automatically-generated evidence reports can be seen in Appendix 1. We expect that CogTale will represent a much needed independent and critical collaborative platform. It will serve the research, clinical, and general user communities, with the capacity to accelerate knowledge synthesis efforts and offer credible and easily accessible evidence regarding the rapidly growing field of COTs in older adults . Forest plot of meta-analysis for Depression (Post-Intervention). Table 1 presents the meta-analysis results for Depression (Post-Intervention). Based on the random-effects model, Hedges' g effect size of 0.57 (95% CI = [−0.60, 1.75]) was not significant (p = 0.170). With a Hedges' g of 0.57, 71.7% of the treatment group will be above the mean of the control group, 77.4% of the two groups will overlap, and there is a 65.7% chance that a person picked at random from the treatment group will have a higher score than a person picked at random from the control group. There was a high amount of heterogeneity (I2 = 55.6%, 95% CI = [0.0, 87.3]), which was not significant (p= 0.105). The prediction interval suggests that theres is a 95% chance that the effect size of future studies will fall between −4.99 and 6.14.

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