Evidence map›Paper›PMID 36291020›Full record

ArticleBiosensors2022

Applications of Immunomagnetic Reduction Technology as a Biosensor in Therapeutic Evaluation of Chinese Herbal Medicine in Tauopathy Alleviation of an AD

Ming-Tsan Su, Chen-Wen Lu, Wen-Jhen Wu, Yong-Sin Jheng, Shieh-Yueh Yang, Wu-Chang Chuang, Ming-Chung Lee, Chung-Hsin Wu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors, 2022. 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 29% 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, 4 citations in OpenAlex.

  1. Article
  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

8 authors at 1 institution in 1 country.

Ming-Tsan SuSchool of Life Science, National Taiwan Normal University, Taipei 11677, Taiwan.
Chen-Wen LuSchool of Life Science, National Taiwan Normal University, Taipei 11677, Taiwan.
Wen-Jhen WuSchool of Life Science, National Taiwan Normal University, Taipei 11677, Taiwan.
Yong-Sin JhengSchool of Life Science, National Taiwan Normal University, Taipei 11677, Taiwan.
Shieh-Yueh YangMagQu Co., Ltd., Taipei 11231, Taiwan.
Wu-Chang ChuangSun Ten Pharmaceutical Co., Ltd., New Taipei City 231632, Taiwan.
Ming-Chung LeeBrion Research Institute of Taiwan, New Taipei City 231632, Taiwan.
Chung-Hsin WuSchool of Life Science, National Taiwan Normal University, Taipei 11677, Taiwan.ORCID 0000-0002-4470-2448
National Taiwan Normal University · TW

Funding

Ministry of Science and Technology of Taiwan MOST 107-2321-B-003-001-, MOST 108-2321-B-003-001-, MOST 109-2321-B-003-001-, and MOST 107-2320-B-003-003-MY3Ministry of Science and Technology of Taiwan MOST 111-2320-B-003-003-
6 · The paper itself

Abstract

Alzheimer's disease (AD) is the most common form of dementia. The most convincing biomarkers in the blood for AD are currently β-amyloid (Aβ) and Tau protein because amyloid plaques and neurofibrillary tangles are pathological hallmarks in the brains of patients with AD. The development of assay technologies in diagnosing early-stage AD is very important. The study of human AD subjects is hindered by ethical and technical limitations. Thus, many studies have therefore turned to AD animal models, such as

Indexed as

Alzheimer DiseaseBiosensing TechniquesDrugs, Chinese HerbalTauopathiesAmyloid beta-PeptidesAnimalsDrosophilaDrosophila melanogasterHumanstau ProteinsTechnologyAmyloid beta-PeptidesDrugs, Chinese Herbaltau ProteinsAlzheimer’s diseaseDrosophila melanogasterimmunomagnetic reductiontauopathytraditional herbal medicine

Identifiers

PMID36291020
PMCPMC9599240
OpenAlexW4306652010

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.