Evidence map›Paper›PMID 26967215›Full record

ReviewJournal of Alzheimer's disease : JAD2016

Unraveling Alzheimer's: Making Sense of the Relationship between Diabetes and Alzheimer's Disease1.

Melissa A Schilling

Open access · bronzeAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of Alzheimer's disease : JAD, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 52 citations in OpenAlex.

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  9. GC/MS-Based Urine Metabolomics Study on the Ameliorative Effect ofEvidence-based complementary and alternative medicine : eCAM · 2022
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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

1 author at 1 institution in 1 country.

Melissa A Schilling
New York University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous studies have documented a strong association between diabetes and Alzheimer's disease (AD). The nature of the relationship, however, has remained a puzzle, in part because of seemingly incongruent findings. For example, some studies have concluded that insulin deficiency is primarily at fault, suggesting that intranasal insulin or inhibiting the insulin-degrading enzyme (IDE) could be beneficial. Other research has concluded that hyperinsulinemia is to blame, which implies that intranasal insulin or the inhibition of IDE would exacerbate the disease. Such antithetical conclusions pose a serious obstacle to making progress on treatments. However, careful integration of multiple strands of research, with attention to the methods used in different studies, makes it possible to disentangle the research on AD. This integration suggests that there is an important relationship between insulin, IDE, and AD that yields multiple pathways to AD depending on the where deficiency or excess in the cycle occurs. I review evidence for each of these pathways here. The results suggest that avoiding excess insulin, and supporting robust IDE levels, could be important ways of preventing and lessening the impact of AD. I also describe what further tests need to be conducted to verify the arguments made in the paper, and their implications for treating AD.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAmyloseDiabetes MellitusHumansInsulinInsulysinAmyloid beta-PeptidesAmyloseInsulinInsulysinAlzheimer diseaseamylinamyloid beta-peptidedementiadiabetes mellitusinsulininsulysinmetalloproteasesneprilysin

Identifiers

PMID26967215
PMCPMC4927856
OpenAlexW2290336843

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.