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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 64 out of 100. Brain scans and imaging

Topic: Amyloid, tau and blood-test diagnosis

Background In a 2014 cross-sectional analysis, we showed that amyloid and neurodegeneration biomarker states in participants with no clinical impairment varied greatly with age, suggesting dynamic within-person processes. We used all observations, including those from participants who did not have imaging results, to construct a multistate Markov model to estimate four different age-specific biomarker state transition rates: A(-)N(-) to A(+)N(-); A(-)N(-) to A(-)N(+) (suspected non-Alzheimer's pathology); A(+)N(-) to A(+)N(+); and A(-)N(+) to A(+)N(+). At age 85 years compared with age 65 years, the rate was nearly 11-times higher (17.2 vs 1.6 per 100 person-years) for the transition from A(-)N(-) to A(-)N(+), three-times higher (20.8 vs 6.1) for A(+)N(-) to A(+)N(+), and five-times higher (13.2 vs 2.6) for A(-)N(+) to A(+)N(+). The rate of transition was also increased at age 85 years compared with age 65 years for A(+)N(+) to dementia (7.0 vs 0.8) and for A(-)N(+) to dementia (1.7 vs 0.6). Interpretation Our transition rates suggest that brain ageing is a nearly inevitable acceleration toward worse biomarker and clinical states. We found that simple transition rates can explain complex, highly interdependent biomarker state frequencies in our population.

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

APA 7th

Jack, C. R., Therneau, T. M., Wiste, H. J., Weigand, S. D., Knopman, D. S., Lowe, V. J., et al. (2016). Transition rates between amyloid and neurodegeneration biomarker states and to dementia: a population-based, longitudinal cohort study. The Lancet. Neurology. https://doi.org/10.1016/s1474-4422(15)00323-3

Vancouver

Jack CR, Therneau TM, Wiste HJ, Weigand SD, Knopman DS, Lowe VJ, et al. Transition rates between amyloid and neurodegeneration biomarker states and to dementia: a population-based, longitudinal cohort study. The Lancet. Neurology. 2016. doi:10.1016/s1474-4422(15)00323-3. PMID: 26597325.

BibTeX

@article{jack2016-26597325,
  author  = {Jack, C. R. and Therneau, T. M. and Wiste, H. J. and Weigand, S. D. and Knopman, D. S. and Lowe, V. J. and Mielke, M. M. and Vemuri, P. and others},
  title   = {{Transition rates between amyloid and neurodegeneration biomarker states and to dementia: a population-based, longitudinal cohort study}},
  journal = {The Lancet. Neurology},
  year    = {2016},
  doi     = {10.1016/s1474-4422(15)00323-3},
  pmid    = {26597325},
  url     = {https://doi.org/10.1016/s1474-4422(15)00323-3}
}

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.

Key findings

Study details

How this study scored 64/100
How this study's score is builtJournal tier 9 of 10; Journal's citation record left out, no data; Study design 4 of 12; Strength of evidence 3 of 5; Peer-review validation 10 of 10; How recent 1 of 5; Sample size 3 of 4; Effect reported 0 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited left out, no data; Citations per year left out, no data; Impact for its field and year left out, no data; Cited by studies here left out, no data; Still being cited left out, no data; Senior author's track record left out, no data; Institution's track record left out, no data; Multi-centre collaboration left out, no data; Indexed in PubMed 2 of 2; Free to read 2 of 2. 37 of the 58 points it could be judged on, which is 64 of 100. Total 64 of 100.37 of the 58 points we could judge = 64 of 100

Published in a leading specialty journal, and it is a snapshot of people at one point in 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 37 of the 58 points we could judge it on, which is 64 out of 100.

ComponentPointsWhy
Journal tier 9 / 10 Tier 2 — leading specialty journal (The Lancet. Neurology)
Journal's citation record — / 4 No journal record from OpenAlex — left out of this score
Study design 4 / 12 A snapshot of people at one point in 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 1 / 5 2016 — within 20 year(s) of the newest study here
Sample size 3 / 4 4,049 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 26597325)
Free to read 2 / 2 Free to read
Points 37 / 58 Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 37 of the 58 points we could judge it on is 64 out of 100.
Total 64 / 100 —

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

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