Evidence map›Paper›PMID 28984586›Full record

ArticleJournal of Alzheimer's disease : JAD2017

Utility of Molecular and Structural Brain Imaging to Predict Progression from Mild Cognitive Impairment to Dementia.

Martin J Lan, R Todd Ogden, Dileep Kumar, Yaakov Stern, Ramin V Parsey, Gregory H Pelton, Harry Rubin-Falcone, Gnanavalli Pradhaban, Francesca Zanderigo, Jeffrey M Miller and 2 more

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

12 authors.

Martin J LanDepartment of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.
R Todd OgdenDepartment of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Dileep KumarDepartment of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Yaakov SternDepartment of Neurology, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Ramin V ParseyDepartment of Psychiatry, Stony Brook University, Stony Brook, NY, USA.
Gregory H PeltonDepartment of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Harry Rubin-FalconeDepartment of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Gnanavalli PradhabanDepartment of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Francesca ZanderigoDepartment of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Jeffrey M MillerDepartment of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.
J John MannDepartment of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.
D P DevanandDepartment of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.

Funding

QUESTIONABLE DEMENTIA: COURSE AND PREDICTORS OF OUTCOMER01AG017761 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEVANAND, DAVANGERE P · 2000 to 2012
$7.3M
Olfactory deficits and donepezil treatment in cognitively impaired elderlyR01AG041795 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEVANAND, DAVANGERE P · 2013 to 2017
$3.2M
Serotonin 1A Receptor PET Imaging and SSRI Outcome in Bipolar DepressionK23MH105688 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LAN, MARTIN JOSEPH · 2014 to 2018
$930k
NIA NIH HHS R01 AG017761NIA NIH HHS R01 AG041795NIMH NIH HHS K23 MH105688
6 · The paper itself

Abstract

This project compares three neuroimaging biomarkers to predict progression to dementia in subjects with mild cognitive impairment (MCI). Eighty-eight subjects with MCI and 40 healthy controls (HCs) were recruited. Subjects had a 3T magnetic resonance imaging (MRI) scan, and two positron emission tomography (PET) scans, one with Pittsburgh compound B ([11C]PIB) and one with fluorodeoxyglucose ([18F]FDG). MCI subjects were followed for up to 4 y and progression to dementia was assessed on an annual basis. MCI subjects had higher [11C]PIB binding potential (BPND) than HCs in multiple brain regions, and lower hippocampus volumes. [11C]PIB BPND, [18F]FDG standard uptake value ratio (SUVR), and hippocampus volume were associated with time to progression to dementia using a Cox proportional hazards model. [18F]FDG SUVR demonstrated the most statistically significant association with progression, followed by [11C]PIB BPND and then hippocampus volume. [11C]PIB BPND and [18F]FDG SUVR were independently predictive, suggesting that combining these measures is useful to increase accuracy in the prediction of progression to dementia. Hippocampus volume also had independent predictive properties to [11C]PIB BPND, but did not add predictive power when combined with the [18F]FDG SUVR data. This work suggests that PET imaging with both [11C]PIB and [18F]FDG may help to determine which MCI subjects are likely to progress to AD, possibly directing future treatment options.

Indexed as

AgedAged, 80 and overAniline CompoundsApolipoproteins EBenzothiazolesBrainCognitive DysfunctionDementiaDisease ProgressionFemaleFluorodeoxyglucose F18HumansKaplan-Meier EstimateMagnetic Resonance ImagingMaleMiddle Aged2-(4'-(methylamino)phenyl)-6-hydroxybenzothiazoleAniline CompoundsApolipoproteins EBenzothiazolesFluorodeoxyglucose F18RadiopharmaceuticalsThiazolesAlzheimer’s diseasemild cognitive impairmentPETprognosisvolumetric MRI

Identifiers

PMID28984586
PMCPMC5679746

What OpenQuestion holds

Textmetadata
LicenceTDM
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.