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50/100

✓ Peer-reviewed alzhub usefulness score 50 out of 100. Brain scans and imaging

Topic: Amyloid, tau and blood-test diagnosis

Plain-language summary

In this study we compared Pittsburgh compound-B (PIB) positron emission tomography (PET) amyloid imaging, fluorodeoxyglucose PET for metabolism, and magnetic resonance imaging (MRI) for structure to predict conversion from amnestic mild cognitive impairment (MCI) to Alzheimer's dementia using data from the Alzheimer's Disease Neuroimaging Initiative cohort. Numeric neuroimaging variables generated by the Alzheimer's Disease Neuroimaging Initiative-funded laboratories for each neuroimaging modality along with apolipoprotein-E genotype (n = 29) were analyzed. Performance of these biomarkers for predicting conversion from MCI to Alzheimer's dementia at 2 years was evaluated in 50 late amnestic MCI subjects, 20 of whom converted. Multivariate modeling found that among individual modalities, MRI had the highest predictive accuracy (67%) which increased by 9% to 76% when combined with PIB-PET, producing the highest accuracy among any biomarker combination. Individually, PIB-PET generated the best sensitivity, and fluorodeoxyglucose PET had the lowest. Among individual brain regions, the temporal cortex was found to be most predictive for MRI and PIB-PET.

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

APA 7th

Trzepacz, P. T., Yu, P., Sun, J., Schuh, K., Case, M., Witte, M. M., et al. (2014). Comparison of neuroimaging modalities for the prediction of conversion from mild cognitive impairment to Alzheimer's dementia. Neurobiology of aging. https://doi.org/10.1016/j.neurobiolaging.2013.06.018

Vancouver

Trzepacz PT, Yu P, Sun J, Schuh K, Case M, Witte MM, et al. Comparison of neuroimaging modalities for the prediction of conversion from mild cognitive impairment to Alzheimer's dementia. Neurobiology of aging. 2014. doi:10.1016/j.neurobiolaging.2013.06.018. PMID: 23954175.

BibTeX

@article{trzepacz2014-23954175,
  author  = {Trzepacz, P. T. and Yu, P. and Sun, J. and Schuh, K. and Case, M. and Witte, M. M. and Hochstetler, H. and Hake, A. and others},
  title   = {{Comparison of neuroimaging modalities for the prediction of conversion from mild cognitive impairment to Alzheimer's dementia}},
  journal = {Neurobiology of aging},
  year    = {2014},
  doi     = {10.1016/j.neurobiolaging.2013.06.018},
  pmid    = {23954175},
  url     = {https://doi.org/10.1016/j.neurobiolaging.2013.06.018}
}

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How to read this study

Design: our record does not state a study design, so check the methods section of the original before weighing the result.
Size: the record lists 29 participants. Ask whether that is enough for the question, and who they were.
Effect: the record reports “increased by 9%”. A statistically significant result can still be small in daily life.

What the evidence grade means here

This page is graded moderate. alzhub.org assigns the grade automatically from keywords in the abstract, not from reading the paper. Moderate means the abstract mentions a cohort, case-control or longitudinal design. It can add at most 5 of the 100 points in the study score, and it is a label about design, not a verdict on whether the findings are true.

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Key findings

Numeric neuroimaging variables generated by the Alzheimer's Disease Neuroimaging Initiative-funded laboratories for each neuroimaging modality along with apolipoprotein-E genotype (n = 29) were analyzed.
Performance of these biomarkers for predicting conversion from MCI to Alzheimer's dementia at 2 years was evaluated in 50 late amnestic MCI subjects, 20 of whom converted.
Multivariate modeling found that among individual modalities, MRI had the highest predictive accuracy (67%) which increased by 9% to 76% when combined with PIB-PET, producing the highest accuracy among any biomarker combination.
Individually, PIB-PET generated the best sensitivity, and fluorodeoxyglucose PET had the lowest.
Among individual brain regions, the temporal cortex was found to be most predictive for MRI and PIB-PET.

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Study details

Participants29
Effect sizeincreased by 9%
Evidence strengthModerate

How this study scored 50/100

Published in a peer-reviewed journal. Scored zero for study design and randomized / 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 multicenter collaboration, so those were left out: it earned 29 of the 58 points we could judge it on, which is 50 out of 100.

Component	Points	Why
Journal tier	7 / 10	Tier 3 — peer-reviewed journal (Neurobiology of aging)
Journal's citation record	— / 4	No journal record from OpenAlex — left out of this score
Study design	0 / 12	No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
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	2014 — within 20 year(s) of the newest study here
Sample size	1 / 4	29 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)
Randomized / blinded	0 / 2	No randomization 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
Multicenter collaboration	— / 3	Institutions not listed — left out of this score
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 23954175)
Free to read	0 / 2	Behind a paywall — scores zero
Points	29 / 58	Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 29 of the 58 points we could judge it on is 50 out of 100.
Total	50 / 100	—

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