Evidence map›Paper›PMID 32604772›Full record

ArticleGenes2020

Predicting Clinical Dementia Rating Using Blood RNA Levels.

Justin B Miller, John S K Kauwe

Open access · goldAbstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
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

2 authors at 1 institution in 1 country.

Justin B MillerDepartment of Biology, Brigham Young University, Provo, UT 84602, USA.ORCID 0000-0002-5309-1570
John S K KauweDepartment of Biology, Brigham Young University, Provo, UT 84602, USA.
Brigham Young University · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Epidemiology of Alzheimer’s disease resilience and risk pedigreesRF1AG054052 · NIA · BRIGHAM YOUNG UNIVERSITY · PI KAUWE, JOHN SAI KEONG · 2016 to 2020
$3.6M
CIHRNIA NIH HHS RF1 AG054052NIA NIH HHS U01 AG024904NIH HHS RF1 AG054052
6 · The paper itself

Abstract

The Clinical Dementia Rating (CDR) is commonly used to assess cognitive decline in Alzheimer's disease patients and is included in the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset. We divided 741 ADNI participants with blood microarray data into three groups based on their most recent CDR assessment: cognitive normal (CDR = 0), mild cognitive impairment (CDR = 0.5), and probable Alzheimer's disease (CDR ≥ 1.0). We then used machine learning to predict cognitive status using only blood RNA levels. Only one probe for chloride intracellular channel 1 (

Indexed as

Mental Status and Dementia TestsAgedAged, 80 and overAlzheimer DiseaseAmyloid beta-PeptidesBiomarkersChloride ChannelsCognitive DysfunctionDisease ProgressionFemaleGene Expression RegulationHumansMaleNeuroimagingAmyloid beta-PeptidesBiomarkersChloride ChannelsCLIC1 protein, humanAlzheimer’s diseasechloride intracellular channel 1 (CLIC1)clinical dementia ratingdiagnosismachine learning

Identifiers

PMID32604772
PMCPMC7349260
OpenAlexW3037862395

What OpenQuestion holds

Textmetadata
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.