Evidence map›Paper›PMID 31467257›Full record

ArticleAging2019

Risk estimation before progression to mild cognitive impairment and Alzheimer's disease: an AD resemblance atrophy index.

Lei Zhao, Yishan Luo, Darson Lew, Wenyan Liu, Lisa Au, Vincent Mok, Lin Shi, Alzheimer Disease Neuroimaging Initiative

Open access · greenAbstract read
In one paragraph

Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 32 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Lei ZhaoBrainNow Research Institute, Shenzhen, Guangdong Province, China.
Yishan LuoBrainNow Research Institute, Shenzhen, Guangdong Province, China.
Darson LewBrainNow Research Institute, Shenzhen, Guangdong Province, China.
Wenyan LiuBrainNow Research Institute, Shenzhen, Guangdong Province, China.
Lisa AuDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, China.
Vincent MokDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, China.
Lin ShiBrainNow Research Institute, Shenzhen, Guangdong Province, China.
Alzheimer Disease Neuroimaging InitiativeData used in preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf.
Chinese University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To realize an individual-level risk evaluation of progression of early Alzheimer's disease (AD), we applied an AD resemblance atrophy index (AD-RAI) to differentiate the subjects at risk of progression from normal subjects (NC) to mild cognitive impairment (MCI) and from MCI to AD. We included 183 subjects with a two-year follow-up: 50 NC stable (NCs), 23 NC-to-MCI converters (NCc), 50 MCI stable (MCIs), 35 MCI-to-AD converters (MCIc), 25 AD stable (ADs). ANCOVA analyses were used to identify baseline brain atrophy in converters compared with non-converters. To explore the relative merits of AD-RAI over individual regional volumetric measures in prediction of disease progression, we searched for the optimal cutoff for each measure in logistic regressions and plotted the longitudinal trajectories of these brain volumetric measures in converters and non-converters. Baseline AD-RAI performed the best in differentiating NCc from NCs (odds ratio 26.35, AUC 0.740) and MCIc from MCIs (odds ratio 8.91, AUC 0.771). The AD-RAI presented greater increase in the second year for NCc vs. NCs but not for MCIc vs. MCIs. Baseline AD-RAIs were also associated with CSF-based and PET-based AD biomarkers. These results showed the potential of AD-RAI in early risk estimation before progression to MCI/AD at an individual-level.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseAtrophyBrainCognitive DysfunctionFemaleHumansMagnetic Resonance ImagingMaleRisk FactorsAlzheimer’s diseaseatrophy indexautomated brain volumetrybiomarkerconversion

Identifiers

PMID31467257
PMCPMC6738429
OpenAlexW2971546364

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.