ArticleContemporary clinical trials2025
Design and protocol of a pragmatic clinical trial to improve cognitive impairment detection in primary care.
Article in Contemporary clinical trials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
backgroundThe prevalence of cognitive impairment (CI) including Alzheimer's disease (AD) and related dementias (ADRD) continues to rise worldwide, but often goes undiagnosed leading to increased burden on patients and families. A clinical decision support system (CDSS) could improve care quality by assisting primary care clinicians (PCCs) to recognize, evaluate, diagnose, and manage patients with CI.
methods38 primary care clinics are randomized to receive the study intervention or usual care (UC). The study intervention consists of a cognitive impairment clinical decision support system (CI-CDSS) and a brief CI-focused training. The CI-CDSS utilizes electronic health record (EHR) data to alert PCCs of patients who may be at high risk for CI, determined by either an abnormal cognitive assessment or identification as high risk using a prototype prediction model developed for this study that estimates likelihood of developing CI in the next 3 years. It also provides tools and resources to evaluate and diagnose CI and gives recommendations for managing care of patients with CI. ENDPOINTS: The primary outcome is EHR documentation of CI diagnosis up to 18 months after accrual. Secondary outcomes include healthcare costs and PCC confidence in diagnosis and management of patients with CI.
conclusionThis pragmatic, cluster-randomized, Phase III clinical trial aims to assess the effectiveness of a CDSS in increasing detection of CI in primary care. If successful, this system could provide up-to-date personalized recommendations for CI diagnosis and management to improve patient care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.