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Community-based Model for Dementia Risk Screening: The Beijing Aging Brain Rejuvenation Initiative (BABRI) Brain Health System
Yang Y, Lv C, Li H, Chen K, Li X, Chen Y, Zhang J, Wei D et al.. Journal of the American Medical Directors Association, 2021-01-22
Topic: Risk, prevention and care in population studies
Objectives To address the condition that community-based geriatric services for the assessment and promotion of older adults' cognitive ability systemically aimed at delaying or preventing dementia is lacking in China. Design A community-based model including cognitive assessment and training, geriatric health guidance and long-term support was designed based on a prospective cohort study. Setting and participants Participants (N = 5593) were all from an ongoing cohort study, the Beijing Aging Brain Rejuvenation Initiative (BABRI) study. Methods We conducted receiver operating characteristic, stepwise logistic regression and branch-and-bound algorithm analyses to select the most effective tests from the BABRI neuropsychological test battery. Canonical discriminant analysis was conducted to extract the first canonical variable as a composite index of the tests. In addition, we developed comprehensive surveys and computerized cognitive trainings targeting every cognitive domain. Results The BABRI brain health system (BABRI-BHS) was designed to include SCREEN, ASSESS, and DIAGNOSE sessions. When distinguishing cognitively impaired older adults from cognitively healthy older adults, the canonical variable extracted from tests in the SCREEN session achieved an area under the curve (AUC) of 0.730 [95% confidence interval (95% CI) 0.671-0.789], with a sensitivity of 0.630 and a specificity of 0.780; in the ASSESS session, the AUC was 0.906 (95% CI 0.894-0.917), the sensitivity was 0.809, and the specificity was 0.854. A stepwise screening pathway is recommended when using the BABRI-BHS in communities to divide older adults into subtypes and to provide targeted interventions and long-term geriatric health guidance. Conclusions and implications The BABRI-BHS is an effective and efficient geriatric health care solution that is suitable for community-based dementia risk screening, providing stepwise cognitive assessments and helping older adults acquire tailored interventions and guidance conveniently.
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APA 7th
Yang, Y., Lv, C., Li, H., Chen, K., Li, X., Chen, Y., et al. (2021). Community-based Model for Dementia Risk Screening: The Beijing Aging Brain Rejuvenation Initiative (BABRI) Brain Health System. Journal of the American Medical Directors Association. https://doi.org/10.1016/j.jamda.2020.12.024
Vancouver
Yang Y, Lv C, Li H, Chen K, Li X, Chen Y, et al. Community-based Model for Dementia Risk Screening: The Beijing Aging Brain Rejuvenation Initiative (BABRI) Brain Health System. Journal of the American Medical Directors Association. 2021. doi:10.1016/j.jamda.2020.12.024. PMID: 33493465.
BibTeX
@article{yang2021-33493465,
author = {Yang, Y. and Lv, C. and Li, H. and Chen, K. and Li, X. and Chen, Y. and Zhang, J. and Wei, D. and others},
title = {{Community-based Model for Dementia Risk Screening: The Beijing Aging Brain Rejuvenation Initiative (BABRI) Brain Health System}},
journal = {Journal of the American Medical Directors Association},
year = {2021},
doi = {10.1016/j.jamda.2020.12.024},
pmid = {33493465},
url = {https://doi.org/10.1016/j.jamda.2020.12.024}
}
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Key findings
- Results The BABRI brain health system (BABRI-BHS) was designed to include SCREEN, ASSESS, and DIAGNOSE sessions.
Study details
- Study designcohort study
- Participants5,593
- Evidence strengthModerate
How this study scored 66/100
Published in a peer-reviewed journal, and it is a cohort study following people over time. Scored zero for effect reported and randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multi-centre collaboration, so those were left out: it earned 38 of the 58 points we could judge it on, which is 66 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Journal of the American Medical Directors Association) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 7 / 12 | A cohort study following people over time |
| Strength of evidence | 3 / 5 | Rated “moderate” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 3 / 5 | 2021 — within 6 year(s) of the newest study here |
| Sample size | 3 / 4 | 5,593 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 33493465) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 38 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 38 of the 58 points we could judge it on is 66 out of 100. |
| Total | 66 / 100 | — |
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