Evidence map›Paper›PMID 33742772›Full record

ReviewClinical and translational science2021

Optimizing clinical phenotyping to better delineate the complex relationship between type 2 diabetes and Alzheimer's disease.

Angela J Hanson, Katya B Rubinow

Open access · goldAbstract readReview
In one paragraph

Review in Clinical and translational science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. 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.

Angela J HansonDivision of Gerontology and General Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
Katya B RubinowDiabetes Institute, Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
University of Washington · US

Funding

Mechanisms of Regulation of Retinoic Acid HomeostasisR01GM111772 · NIGMS · UNIVERSITY OF WASHINGTON · PI ISOHERRANEN, NINA · 2014 to 2021
$3.0M
APOE genotype effects on triglycerides and blood flow in the human brainR01AG067563 · NIA · UNIVERSITY OF WASHINGTON · PI HANSON, ANGELA JEAN · 2020 to 2024
$2.1M
APOE genotype and diet influences on Alzheimer's biomarkersK23AG047978 · NIA · UNIVERSITY OF WASHINGTON · PI HANSON, ANGELA JEAN · 2015 to 2019
$875k
NIA NIH HHS K23 AG047978NIA NIH HHS R01 AG067563NIGMS NIH HHS R01 GM111772
6 · The paper itself

Abstract

Alzheimer's disease (AD) is the most common form of dementia, and its prevalence is increasing rapidly. According to the Alzheimer's Association, over 5 million adults in the United States over the age of 65 years currently have AD, and this number is expected to exceed 13 million by 2050 in the absence of novel, preventative strategies. Epidemiologic studies have implicated the presence of type 2 diabetes mellitus (T2DM) specifically at midlife as a key modifiable risk factor for AD, and AD may increase risk of dysglycemia and T2DM. However, data have been inconsistent with regard to the magnitude of AD risk attributable to T2DM, and the pathways underlying this apparent relationship remain poorly understood. Elucidating the impact of T2DM on AD risk and progression requires greater attention to the myriad facets of T2DM pathophysiology, its comorbid conditions, and attendant treatment modalities, all of which may differentially impact the relationships among T2DM, cognitive decline, and AD. This mini-review will summarize the discrete facets of T2DM that may influence AD risk and highlight the importance of careful clinical phenotyping in both epidemiologic and interventional studies to better delineate the key pathways and mechanisms linking T2DM and AD.

Indexed as

Alzheimer DiseaseBlood-Brain BarrierBlood GlucoseBrainDiabetes Mellitus, Type 2Disease ProgressionHumansPrevalenceRisk FactorsBlood Glucose

Identifiers

PMID33742772
PMCPMC8504820
OpenAlexW3137558096

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.