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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 52 out of 100. Treatments

Topic: Amyloid, tau and blood-test diagnosis

Background The Placebo Group Simulation Approach (PGSA) aims at partially replacing randomized placebo-controlled trials (RPCTs), making use of data from historical control groups in order to decrease the needed number of study participants exposed to lengthy placebo treatment. PGSA algorithms to create virtual control groups were originally derived from mild cognitive impairment (MCI) data of the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. To produce more generalizable algorithms, we aimed to compile five different MCI databases in a heuristic manner to create a "standard control algorithm" for use in future clinical trials. Methods We compared data from two North American cohort studies (n=395 and 4328, respectively), one company-sponsored international clinical drug trial (n=831) and two convenience patient samples, one from Germany (n=726), and one from Switzerland (n=1558). Results Despite differences between the five MCI samples regarding inclusion and exclusion criteria, their baseline demographic and cognitive performance data varied less than expected. However, the five samples differed markedly with regard to their subsequent cognitive performance and clinical development: (1) MCI patients from the drug trial did not deteriorate on verbal fluency over 3 years, whereas patients in the other samples did; (2) relatively few patients from the drug trial progressed from MCI to dementia (about 10% after 4 years), in contrast to the other four samples with progression rates over 30%. Conclusion Conventional MCI criteria were insufficient to allow for the creation of well-defined and internationally comparable samples of MCI patients. More recently published criteria for MCI or "MCI due to AD" are unlikely to remedy this situation. The Alzheimer scientific community needs to agree on a standard set of neuropsychological tests including appropriate selection criteria to make MCI a scientifically more useful concept. Patient data from different sources would then be comparable, and the scientific merits of algorithm-based study designs such as the PGSA could be properly assessed.

Key findings

Why it matters

This analysis compared five mild cognitive impairment datasets and found that despite similar baseline characteristics, the samples differed markedly in subsequent cognitive performance and clinical development. The goal is to create a standard control algorithm to help reduce the number of participants exposed to placebo in future prevention trials.

Study details

How this study scored 52/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 1 of 4; Study design 7 of 12; Strength of evidence 5 of 5; Peer-review validation 10 of 10; How recent 3 of 5; Sample size 2 of 4; Effect reported 0 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited 2 of 7; Citations per year 1 of 5; Impact for its field and year 2 of 6; Cited by studies here 0 of 6; Still being cited 1 of 4; Senior author's track record 2 of 4; Institution's track record 1 of 3; Multi-centre collaboration 1 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. Total 52 of 100.52 of 100 points earned48 not earned

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.

ComponentPointsWhy
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 cohort study following people over time
Strength of evidence 5 / 5 Rated “high” 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 2 / 4 395 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 2 / 7 Cited 13 times (OpenAlex, 2026-10-10)
Citations per year 1 / 5 1.9 citations a year over 7 year(s) since 2021
Impact for its field and year 2 / 6 Cited 1.6× 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 8 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 2 / 4 Last-listed author René Spiegel: h-index 31 (OpenAlex, whole career)
Institution's track record 1 / 3 University of Basel: institution h-index 928 (OpenAlex)
Multi-centre collaboration 1 / 3 OpenAlex lists 3 institution(s) in 2 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 33962665)
Free to read 2 / 2 Free to read
Total 52 / 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. Check the citation against the original before you use it.

APA 7th

Berres, M., Monsch, A. U., & Spiegel, R. (2021). Using historical data to facilitate clinical prevention trials in Alzheimer disease? An analysis of longitudinal MCI (mild cognitive impairment) data sets. Alzheimer's research & therapy. https://doi.org/10.1186/s13195-021-00832-5

Vancouver

Berres M, Monsch AU, Spiegel R. Using historical data to facilitate clinical prevention trials in Alzheimer disease? An analysis of longitudinal MCI (mild cognitive impairment) data sets. Alzheimer's research & therapy. 2021. doi:10.1186/s13195-021-00832-5. PMID: 33962665.

BibTeX

@article{berres2021-33962665,
  author  = {Berres, M. and Monsch, A. U. and Spiegel, R.},
  title   = {{Using historical data to facilitate clinical prevention trials in Alzheimer disease? An analysis of longitudinal MCI (mild cognitive impairment) data sets}},
  journal = {Alzheimer's research \& therapy},
  year    = {2021},
  doi     = {10.1186/s13195-021-00832-5},
  pmid    = {33962665},
  url     = {https://doi.org/10.1186/s13195-021-00832-5}
}

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