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59/100

✓ Peer-reviewed alzhub usefulness score 59 out of 100. Mild cognitive impairment

Topic: Risk, prevention and care in population studies

Participants (n = 16,683) had an average age of 69.07 ± 7.34, 72.04% were female, and had an average of 16.66 ± 2.26 years of education. They were followed for an average of 2.52 ± 1.63 visits over a period of 11.49 ± 11.53 months. Both Self-ECog positive (estimate = -0.01, p < 0.001, R²m = 0.56) and Self-ECog consistent (estimate=-0.01, p = 0.002, R²m = 0.56) were associated with longitudinal change in PAL FAMS after adjusting demographics and clinical confounders. Those who were Self-ECog total (Odds ratio [95% confidence interval] = 1.390 [1.121-1.708]) and SP-ECog consistent (2.417 [1.591-3.655]) had higher probability of being decliners based on PAL FAMS. In the BHR's unsupervised online setting, baseline subjective change was feasible in predicting longitudinal decline in neuropsychological tests. Online, self-administered measures of subjective cognitive change might have a potential to predict objective subjective change and identify individuals with cognitive impairments.

Key findings

Participants (n = 16,683) had an average age of 69.07 ± 7.34, 72.04% were female, and had an average of 16.66 ± 2.26 years of education.
They were followed for an average of 2.52 ± 1.63 visits over a period of 11.49 ± 11.53 months.
Both Self-ECog positive (estimate = -0.01, p < 0.001, R²m = 0.56) and Self-ECog consistent (estimate=-0.01, p = 0.002, R²m = 0.56) were associated with longitudinal change in PAL FAMS after adjusting demographics and clinical confounders.
Those who were Self-ECog total (Odds ratio [95% confidence interval] = 1.390 [1.121-1.708]) and SP-ECog consistent (2.417 [1.591-3.655]) had higher probability of being decliners based on PAL FAMS.
In the BHR's unsupervised online setting, baseline subjective change was feasible in predicting longitudinal decline in neuropsychological tests.

Why it matters

This study found that baseline subjective cognitive change predicted longitudinal decline on neuropsychological tests in an unsupervised online setting. Online self-administered measures might help identify individuals with cognitive impairment, but no treatment or cure is tested.

Study details

Study designlongitudinal study
Participants16,683
Effect size72.04%
Evidence strengthModerate

How this study scored 59/100

Published in a peer-reviewed journal, and it is a longitudinal study following the same people over time. Scored zero for randomised / blinded because the record does not state it.

Component	Points	Why
Journal tier	7 / 10	Tier 3 — peer-reviewed journal (Alzheimer s Research & Therapy)
Journal's citation record	1 / 4	Alzheimer s Research & Therapy: journal h-index 146 (OpenAlex, 2026-10-29)
Study design	7 / 12	A longitudinal study following the same 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	4 / 5	2025 — within 3 year(s) of the newest study here
Sample size	4 / 4	16,683 participants
Effect reported	2 / 3	Effect reported as a number, without an interval or test
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	2 / 7	Cited 5 times (OpenAlex, 2026-10-10)
Citations per year	1 / 5	1.7 citations a year over 3 year(s) since 2025
Impact for its field and year	3 / 6	Cited 3.2× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here	0 / 6	No other study in this library cites it
Still being cited	1 / 4	Cited 5 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record	2 / 4	Last-listed author Rachel L. Nosheny: h-index 41 (OpenAlex, whole career)
Institution's track record	2 / 3	University College London: institution h-index 2,029 (OpenAlex)
Multi-centre collaboration	3 / 3	OpenAlex lists 12 institution(s) in 4 countries
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 39773247)
Free to read	2 / 2	Free to read
Total	59 / 100	—

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

APA 7th

Kang, J. M., Manjavong, M., Jin, C., Diaz, A., Ashford, M. T., Eichenbaum, J., et al. (2025). Subjective cognitive decline predicts longitudinal neuropsychological test performance in an unsupervised online setting in the Brain Health Registry. Alzheimer s Research & Therapy. https://doi.org/10.1186/s13195-024-01641-2

Vancouver

Kang JM, Manjavong M, Jin C, Diaz A, Ashford MT, Eichenbaum J, et al. Subjective cognitive decline predicts longitudinal neuropsychological test performance in an unsupervised online setting in the Brain Health Registry. Alzheimer s Research & Therapy. 2025. doi:10.1186/s13195-024-01641-2. PMID: 39773247.

BibTeX

@article{kang2025-39773247,
  author  = {Kang, Jae Myeong and Manjavong, Manchumad and Jin, Chengshi and Diaz, Adam and Ashford, Miriam Thiel and Eichenbaum, Joseph and Thorp, Emily and Wragg, Elizabeth and others},
  title   = {{Subjective cognitive decline predicts longitudinal neuropsychological test performance in an unsupervised online setting in the Brain Health Registry}},
  journal = {Alzheimer s Research \& Therapy},
  year    = {2025},
  doi     = {10.1186/s13195-024-01641-2},
  pmid    = {39773247},
  url     = {https://doi.org/10.1186/s13195-024-01641-2}
}

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