A 12-week app-based multidomain intervention ameliorates cognitive performance in patients with mild cognitive impairment: preliminary results of the MEMODIO_APP@CARE RCT
Bibliographic record
Abstract
Introduction The Lancet Commission on dementia prevention, intervention and care and the WHO Guidelines on risk reduction of cognitive decline and dementia provide evidence-based recommendations on lifestyle behaviours and interventions to delay or prevent cognitive decline and dementia. Due to demographic change and because new developments in pharmacotherapy are not suitable for all patients, there is a great need for non-pharmacological interventions. The MEMODIO app was developed to provide a multi-domain therapy for users with Mild Cognitive Impairment (MCI) and dementia. A screenshot of the app is shown in Image 1. Objectives The aim of this study was the exploratory evaluation of whether an app-based therapy can improve cognitive function in patients with MCI and mild dementia. For the interim analysis as of October 2024, the results of the MCI study arm are reported (n=42). Methods One hundred forty patients with confirmed diagnosis of MCI [Montreal Cognitive Assessment (MoCA) score 21-25] or Mild Dementia (MoCA score 14-20) were randomized to an intervention (IG) or standard of care (SoC) group. IG patients received SoC plus the MEMODIO app, providing cognitive and physical exercises, as well as psychoeducation on a brain-healthy diet and risk factors for cognitive decline, for 12 weeks. MoCA, Amsterdam Instrumental Activity of Daily Living Questionnaire - Short version (A-IADL-Q-SV) Dementia-Related Quality of Life (DEMQOL) as well as Physical Activity Questionnaire (PAQ 50+) were collected at baseline and study end. Results In the MCI group, the mean age was 71 years, 20 out of 42 patients were female. Preliminary outcomes are shown in Images 2 and 3. The preliminary analysis on MCI patients (mean age: 71 y ±9,49 SD, 48% were female) showed statistically significant improvements in MoCA in the IG (-0.84±3.5 SoC vs. 1.96±2.7 IG, p=0.006). Quality of life, physical activity and activities of daily living at the time point of the interim evaluation were not significantly different from baseline, but the activity level measured by PAQ showed a non-significant improvement in the SoC group. Image: Image 2: Image 3: Conclusions In this RCT, a significant improvement in cognition was shown in MCI-patients using the MEMODIO app compared to those receiving SoC alone. Further analyses are ongoing. Disclosure of Interest G. Nelles Grant / Research support from: PI of MEMODIO@APP_CARE, T. Steinmann Employee of: memodio GmbH, D. Stein Shareolder of: memodio GmbH, V. Weil Employee of: memodio GmbH, A. Bicu: None Declared, C. Polidori: None Declared
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".