Evidence map›Paper›PMID 29225305›Full record

ReviewProceedings of the Japan Academy. Series B, Physical and biological sciences2017

The past, present, and future of disease-modifying therapies for Alzheimer's disease.

Kazushi Suzuki, Atsushi Iwata, Takeshi Iwatsubo

Open access · diamondAbstract readReview
In one paragraph

Review in Proceedings of the Japan Academy. Series B, Physical and biological sciences, 2017. 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
2.8field-weighted citation impact, top 9% 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, 40 citations in OpenAlex.

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  14. Biomarkers of Alzheimer Disease.The journal of applied laboratory medicine · 2020
    Article
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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

3 authors at 1 institution in 1 country.

Kazushi SuzukiUnit for Early and Exploratory Clinical Development, the University of Tokyo Hospital.
Atsushi IwataDepartment of Neurology, School of Medicine, the University of Tokyo.
Takeshi IwatsuboUnit for Early and Exploratory Clinical Development, the University of Tokyo Hospital.
The University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of disease-modifying therapies for Alzheimer's disease (AD) is an urgent issue. Progress in the understanding of AD pathophysiology based on the amyloid hypothesis has led to the development of numerous candidate disease-modifying therapies over the past 15 years. The therapeutic target, amyloid β (Aβ), starts to accumulate in AD brains long before the onset of cognitive decline. γ-secretase inhibitors, γ-secretase modulators, and β-secretase inhibitors aim to reduce the production of toxic Aβ species by modifying the processing of amyloid precursor protein. Another strategy is to eliminate accumulated Aβ by active or passive immunotherapeutic approaches. Therapeutic strategies targeting tau protein are also currently emerging. Despite these efforts, successful disease-modifying therapies for AD have not yet been developed. Recently, very early interventional trials targeting preclinical stages of AD have begun; the paradigm shift in AD therapies from cure to prevention could be key to the success of disease modification.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAmyloid beta-Protein PrecursorAmyloid Precursor Protein SecretasesAnimalsBrainHumansImmunotherapytau ProteinsAmyloid beta-PeptidesAmyloid beta-Protein PrecursorAmyloid Precursor Protein Secretasestau ProteinsAlzheimer’s diseaseamyloid hypothesisdisease-modifying therapypreclinical ADtau

Identifiers

PMID29225305
PMCPMC5790756
OpenAlexW2773748959

What OpenQuestion holds

Textmetadata
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.