Evidence map›Paper›PMID 27644076›Full record

ArticleNeurobiology of aging2016

Glucose levels during life and neuropathologic findings at autopsy among people never treated for diabetes.

Paul K Crane, Rod L Walker, Joshua Sonnen, Laura E Gibbons, Rebecca Melrose, Jason Hassenstab, C Dirk Keene, Nadia Postupna, Thomas J Montine, Eric B Larson

Open access · greenAbstract read
In one paragraph

Article in Neurobiology of aging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Metabolic Syndrome and Cognitive Function.Current cardiology reports · 2021
    Review
  4. Article
  5. Article
  6. Article
  7. Review: Relationship of type 2 diabetes to human brain pathology.Neuropathology and applied neurobiology · 2018
    Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. 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

10 authors at 5 institutions in 1 country.

Paul K CraneDepartment of Medicine, University of Washington, Seattle, WA, USA. Electronic address: pcrane@uw.edu.
Rod L WalkerGroup Health Research Institute, Seattle, WA, USA.
Joshua SonnenDepartment of Pathology, University of Utah, Salt Lake City, UT, USA.
Laura E GibbonsDepartment of Medicine, University of Washington, Seattle, WA, USA.
Rebecca MelroseVA Greater Los Angeles Healthcare System, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences at the David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Jason HassenstabDepartment of Neurology, Washington University in Saint Louis, St. Louis, MO, USA.
C Dirk KeeneDepartment of Pathology, University of Washington, Seattle, WA, USA.
Nadia PostupnaDepartment of Pathology, University of Washington, Seattle, WA, USA.
Thomas J MontineDepartment of Pathology, University of Washington, Seattle, WA, USA.
Eric B LarsonGroup Health Research Institute, Seattle, WA, USA.
University of Washington · USKaiser Permanente Washington Health Research Institute · USNeurobehavioral Systems · USUniversity of Utah · USWashington University in St. Louis · US

Funding

THERAPEUTIC EFFECTS OF INTRA-NASAL INSULIN DETEMIRP50AG005136 · NIA · UNIVERSITY OF WASHINGTON · PI KEENE, CHRISTOPHER DIRK · 1985 to 2019
$57.2M
Furthering scientific understanding of mechanisms underlying resilience to the effects of AD pathology by incorporating state of the art quantification of gliosis, inflammation, & synaptic toxicityU01AG006781 · NIA · UNIVERSITY OF WASHINGTON · PI CRANE, PAUL K, LARSON, ERIC B · 1986 to 2020
$39.3M
NEURAL RESPONSE TO INSULIN RESISTANCE TREATMENTSK23DK094982 · NIDDK · WASHINGTON UNIVERSITY · PI HASSENSTAB, JASON J · 2012 to 2016
$814k
NIA NIH HHS P50 AG005136NIA NIH HHS U01 AG006781NIDDK NIH HHS K23 DK094982
6 · The paper itself

Abstract

We evaluated associations between glucose and dementia-related neuropathologic findings among people without diabetes treatment history to elucidate mechanisms of glucose's potential effect on dementia. We used glucose and hemoglobin A1c values to characterize glucose exposures over 5 years before death (primary) and age bands from 55-59 through 80-84 (secondary). Autopsy evaluations included Braak stage for neurofibrillary tangles, Consortium to Establish a Registry for Alzheimer's Disease grade for neuritic plaques, macroscopic infarcts including lacunar infarcts, Lewy bodies, cerebral microinfarcts, and hippocampal sclerosis. Of 529 who came to autopsy, we included 430 with no history of diabetes treatment. We found no associations between glucose levels and Braak stage or Consortium to Establish a Registry for Alzheimer's Disease grade. There was a suggestion of a relationship between glucose and hippocampal sclerosis, although this was inconsistent across analyses. There was higher risk of Lewy bodies in substantia nigra and locus ceruleus with higher glucose levels in age band analyses. We did not find interactions between glucose levels, neuropathologic findings, and dementia. The mechanism by which glucose may impact dementia risk is still unknown.

Indexed as

AutopsyAgedAged, 80 and overAgingAlzheimer DiseaseBlood GlucoseCerebral InfarctionDementiaFemaleGlycated HemoglobinHippocampusHumansLewy BodiesMaleMiddle AgedNeurofibrillary TanglesBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanGlucoseHippocampal sclerosisLewy bodiesNeuritic plaquesNeurofibrillary tanglesNeuropathology

Identifiers

PMID27644076
PMCPMC5441884
OpenAlexW2504561287

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.